WorldWideScience

Sample records for reducing health inequities

  1. Why reduce health inequalities?

    Science.gov (United States)

    Woodward, A; Kawachi, I

    2000-12-01

    It is well known that social, cultural and economic factors cause substantial inequalities in health. Should we strive to achieve a more even share of good health, beyond improving the average health status of the population? We examine four arguments for the reduction of health inequalities.1 Inequalities are unfair. Inequalities in health are undesirable to the extent that they are unfair, or unjust. Distinguishing between health inequalities and health inequities can be contentious. Our view is that inequalities become "unfair" when poor health is itself the consequence of an unjust distribution of the underlying social determinants of health (for example, unequal opportunities in education or employment).2 Inequalities affect everyone. Conditions that lead to marked health disparities are detrimental to all members of society. Some types of health inequalities have obvious spillover effects on the rest of society, for example, the spread of infectious diseases, the consequences of alcohol and drug misuse, or the occurrence of violence and crime.3 Inequalities are avoidable. Disparities in health are avoidable to the extent that they stem from identifiable policy options exercised by governments, such as tax policy, regulation of business and labour, welfare benefits and health care funding. It follows that health inequalities are, in principle, amenable to policy interventions. A government that cares about improving the health of the population ought therefore to incorporate considerations of the health impact of alternative options in its policy setting process.3 Interventions to reduce health inequalities are cost effective. Public health programmes that reduce health inequalities can also be cost effective. The case can be made to give priority to such programmes (for example, improving access to cervical cancer screening in low income women) on efficiency grounds. On the other hand, few programmes designed to reduce health inequalities have been formally

  2. Informing Investment to Reduce Inequalities: A Modelling Approach.

    Directory of Open Access Journals (Sweden)

    Andrew McAuley

    Full Text Available Reducing health inequalities is an important policy objective but there is limited quantitative information about the impact of specific interventions.To provide estimates of the impact of a range of interventions on health and health inequalities.Literature reviews were conducted to identify the best evidence linking interventions to mortality and hospital admissions. We examined interventions across the determinants of health: a 'living wage'; changes to benefits, taxation and employment; active travel; tobacco taxation; smoking cessation, alcohol brief interventions, and weight management services. A model was developed to estimate mortality and years of life lost (YLL in intervention and comparison populations over a 20-year time period following interventions delivered only in the first year. We estimated changes in inequalities using the relative index of inequality (RII.Introduction of a 'living wage' generated the largest beneficial health impact, with modest reductions in health inequalities. Benefits increases had modest positive impacts on health and health inequalities. Income tax increases had negative impacts on population health but reduced inequalities, while council tax increases worsened both health and health inequalities. Active travel increases had minimally positive effects on population health but widened health inequalities. Increases in employment reduced inequalities only when targeted to the most deprived groups. Tobacco taxation had modestly positive impacts on health but little impact on health inequalities. Alcohol brief interventions had modestly positive impacts on health and health inequalities only when strongly socially targeted, while smoking cessation and weight-reduction programmes had minimal impacts on health and health inequalities even when socially targeted.Interventions have markedly different effects on mortality, hospitalisations and inequalities. The most effective (and likely cost

  3. The role of urban municipal governments in reducing health inequities: A meta-narrative mapping analysis

    Directory of Open Access Journals (Sweden)

    Hayes Michael V

    2010-05-01

    Full Text Available Abstract Background The 1986 Ottawa Charter for Health Promotion coincided with a preponderance of research, worldwide, on the social determinants of health and health inequities. Despite the establishment of a 'health inequities knowledge base', the precise roles for municipal governments in reducing health inequities at the local level remain poorly defined. The objective of this study was to monitor thematic trends in this knowledge base over time, and to track scholarly prescriptions for municipal government intervention on local health inequities. Methods Using meta-narrative mapping, four bodies of scholarly literature - 'health promotion', 'Healthy Cities', 'population health' and 'urban health' - that have made substantial contributions to the health inequities knowledge base were analyzed over the 1986-2006 timeframe. Article abstracts were retrieved from the four literature bodies using three electronic databases (PubMed, Sociological Abstracts, Web of Science, and coded for bibliographic characteristics, article themes and determinants of health profiles, and prescriptions for municipal government interventions on health inequities. Results 1004 journal abstracts pertaining to health inequities were analyzed. The overall quantity of abstracts increased considerably over the 20 year timeframe, and emerged primarily from the 'health promotion' and 'population health' literatures. 'Healthy lifestyles' and 'healthcare' were the most commonly emphasized themes in the abstracts. Only 17% of the abstracts articulated prescriptions for municipal government interventions on local health inequities. Such interventions included public health campaigns, partnering with other governments and non-governmental organizations for health interventions, and delivering effectively on existing responsibilities to improve health outcomes and reduce inequities. Abstracts originating from Europe, and from the 'Healthy Cities' and 'urban health' literatures

  4. Prioritising public health: a qualitative study of decision making to reduce health inequalities

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    O'Flaherty Martin

    2011-10-01

    Full Text Available Abstract Background The public health system in England is currently facing dramatic change. Renewed attention has recently been paid to the best approaches for tackling the health inequalities which remain entrenched within British society and across the globe. In order to consider the opportunities and challenges facing the new public health system in England, we explored the current experiences of those involved in decision making to reduce health inequalities, taking cardiovascular disease (CVD as a case study. Methods We conducted an in-depth qualitative study employing 40 semi-structured interviews and three focus group discussions. Participants were public health policy makers and planners in CVD in the UK, including: Primary Care Trust and Local Authority staff (in various roles; General Practice commissioners; public health academics; consultant cardiologists; national guideline managers; members of guideline development groups, civil servants; and CVD third sector staff. Results The short term target- and outcome-led culture of the NHS and the drive to achieve "more for less", combined with the need to address public demand for acute services often lead to investment in "downstream" public health intervention, rather than the "upstream" approaches that are most effective at reducing inequalities. Despite most public health decision makers wishing to redress this imbalance, they felt constrained due to difficulties in partnership working and the over-riding influence of other stakeholders in decision making processes. The proposed public health reforms in England present an opportunity for public health to move away from the medical paradigm of the NHS. However, they also reveal a reluctance of central government to contribute to shifting social norms. Conclusions It is vital that the effectiveness and cost effectiveness of all new and existing policies and services affecting public health are measured in terms of their impact on the

  5. Prioritising public health: a qualitative study of decision making to reduce health inequalities.

    Science.gov (United States)

    Orton, Lois C; Lloyd-Williams, Ffion; Taylor-Robinson, David C; Moonan, May; O'Flaherty, Martin; Capewell, Simon

    2011-10-20

    The public health system in England is currently facing dramatic change. Renewed attention has recently been paid to the best approaches for tackling the health inequalities which remain entrenched within British society and across the globe. In order to consider the opportunities and challenges facing the new public health system in England, we explored the current experiences of those involved in decision making to reduce health inequalities, taking cardiovascular disease (CVD) as a case study. We conducted an in-depth qualitative study employing 40 semi-structured interviews and three focus group discussions. Participants were public health policy makers and planners in CVD in the UK, including: Primary Care Trust and Local Authority staff (in various roles); General Practice commissioners; public health academics; consultant cardiologists; national guideline managers; members of guideline development groups, civil servants; and CVD third sector staff. The short term target- and outcome-led culture of the NHS and the drive to achieve "more for less", combined with the need to address public demand for acute services often lead to investment in "downstream" public health intervention, rather than the "upstream" approaches that are most effective at reducing inequalities. Despite most public health decision makers wishing to redress this imbalance, they felt constrained due to difficulties in partnership working and the over-riding influence of other stakeholders in decision making processes. The proposed public health reforms in England present an opportunity for public health to move away from the medical paradigm of the NHS. However, they also reveal a reluctance of central government to contribute to shifting social norms. It is vital that the effectiveness and cost effectiveness of all new and existing policies and services affecting public health are measured in terms of their impact on the social determinants of health and health inequalities. Researchers

  6. Adaptive Policies for Reducing Inequalities in the Social Determinants of Health

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    Gemma Carey

    2015-11-01

    Full Text Available Inequalities in the social determinants of health (SDH, which drive avoidable health disparities between different individuals or groups, is a major concern for a number of international organisations, including the World Health Organization (WHO. Despite this, the pathways to changing inequalities in the SDH remain elusive. The methodologies and concepts within system science are now viewed as important domains of knowledge, ideas and skills for tackling issues of inequality, which are increasingly understood as emergent properties of complex systems. In this paper, we introduce and expand the concept of adaptive policies to reduce inequalities in the distribution of the SDH. The concept of adaptive policy for health equity was developed through reviewing the literature on learning and adaptive policies. Using a series of illustrative examples from education and poverty alleviation, which have their basis in real world policies, we demonstrate how an adaptive policy approach is more suited to the management of the emergent properties of inequalities in the SDH than traditional policy approaches. This is because they are better placed to handle future uncertainties. Our intention is that these examples are illustrative, rather than prescriptive, and serve to create a conversation regarding appropriate adaptive policies for progressing policy action on the SDH.

  7. Reducing social inequalities in health: work-related strategies.

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    Siegrist, Johannes

    2002-01-01

    Despite reduced health risks in terms of physical and chemical hazards current trends in occupational life continue to contribute to ill health and disease among economically active people. Stress at work plays a crucial role in this respect, as evidenced by recent scientific progress. This paper discusses two leading theoretical models of work-related stress, the demand-control model and the model of effort-reward imbalance, and it summarizes available evidence on adverse health effects. As work stress in terms of these models is more prevalent among lower socioeconomic status groups, these conditions contribute to the explanation of socially graded risks of morbidity and mortality in midlife. Implications of this new knowledge for the design and implementation of worksite health-promotion measures are elaborated. In conclusion, it is argued that workplace strategies deserve high priority on any agenda that aims at reducing social inequalities in health.

  8. Reducing Health Inequities in the U.S.: Recommendations From the NHLBI's Health Inequities Think Tank Meeting.

    Science.gov (United States)

    Sampson, Uchechukwu K A; Kaplan, Robert M; Cooper, Richard S; Diez Roux, Ana V; Marks, James S; Engelgau, Michael M; Peprah, Emmanuel; Mishoe, Helena; Boulware, L Ebony; Felix, Kaytura L; Califf, Robert M; Flack, John M; Cooper, Lisa A; Gracia, J Nadine; Henderson, Jeffrey A; Davidson, Karina W; Krishnan, Jerry A; Lewis, Tené T; Sanchez, Eduardo; Luban, Naomi L; Vaccarino, Viola; Wong, Winston F; Wright, Jackson T; Meyers, David; Ogedegbe, Olugbenga G; Presley-Cantrell, Letitia; Chambers, David A; Belis, Deshirée; Bennett, Glen C; Boyington, Josephine E; Creazzo, Tony L; de Jesus, Janet M; Krishnamurti, Chitra; Lowden, Mia R; Punturieri, Antonello; Shero, Susan T; Young, Neal S; Zou, Shimian; Mensah, George A

    2016-08-02

    The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) embrace broad and inclusive research themes; 2) develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panel's remarks and recommendations are provided in this report. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  9. [How to reduce health inequities by targeting social determinants: the role of the health sector in Mexico].

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    Martínez Valle, Adolfo; Terrazas, Paulina; Alvarez, Fernando

    2014-04-01

    To study lines of action implemented in Mexico by the health sector from 2007 to 2012 in order to combat health inequities by targeting social determinants. To contribute to better understanding and knowledge of how health system inequalities in the Region of the Americas can be reduced. To formulate recommendations for designing a future public policy agenda to address the social determinants associated with health inequities in Mexico. The policies and programs established in the National Health Program (PRONASA) 2007 - 2012 were reviewed, and those that met four criteria were selected: i) they affected the social determinants of health (SDH); ii) they developed specific lines of action aimed at reducing health inequities; iii) they set concrete goals; and iv) they had been evaluated to determine whether those goals had been met. Three programs were selected: Seguro Popular, Programa de Desarrollo Humano Oportunidades (PDHO), and Caravanas de la Salud. Once each program's specific lines of action targeting SDH had been identified, the monitoring and evaluation indicators established in PRONASA 2007 - 2012, along with other available evaluations and empirical evidence, were used to measure the extent to which the goals were met. The findings showed that Seguro Popular had had a positive impact in terms of the financial protection of lower-income households. Moreover, the reduction in the gap between workers covered by the social security system and those who were not was more evident. By reducing poverty among its beneficiaries, the PDHO also managed to reduce health inequities. The indicators for Caravanas de la Salud, on the other hand, did not show statistically significant differences between the control localities and the localities covered by the program, except in the case of Pap tests. These findings have important public policy implications for designing an agenda that promotes continued targeting of SDH and heightening its impact in terms of reducing

  10. Global Oral Health Inequalities

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    Garcia, I.; Tabak, L.A.

    2011-01-01

    Despite impressive worldwide improvements in oral health, inequalities in oral health status among and within countries remain a daunting public health challenge. Oral health inequalities arise from a complex web of health determinants, including social, behavioral, economic, genetic, environmental, and health system factors. Eliminating these inequalities cannot be accomplished in isolation of oral health from overall health, or without recognizing that oral health is influenced at multiple individual, family, community, and health systems levels. For several reasons, this is an opportune time for global efforts targeted at reducing oral health inequalities. Global health is increasingly viewed not just as a humanitarian obligation, but also as a vehicle for health diplomacy and part of the broader mission to reduce poverty, build stronger economies, and strengthen global security. Despite the global economic recession, there are trends that portend well for support of global health efforts: increased globalization of research and development, growing investment from private philanthropy, an absolute growth of spending in research and innovation, and an enhanced interest in global health among young people. More systematic and far-reaching efforts will be required to address oral health inequalities through the engagement of oral health funders and sponsors of research, with partners from multiple public and private sectors. The oral health community must be “at the table” with other health disciplines and create opportunities for eliminating inequalities through collaborations that can harness both the intellectual and financial resources of multiple sectors and institutions. PMID:21490232

  11. Can inequality be tamed through boundary work? A qualitative study of health promotion aimed at reducing health inequalities.

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    Pedersen, Pia Vivian; Hjelmar, Ulf; Høybye, Mette Terp; Rod, Morten Hulvej

    2017-07-01

    This paper examines the organisational dynamics that arise in health promotion aimed at reducing health inequalities. The paper draws on ethnographic fieldwork among public health officers in Danish municipalities and qualitative interviews from an evaluation of health promotion programmes targeting homeless and other marginalised citizens. Analytically, we focus on 'boundary work', i.e. the ways in which social and symbolic boundaries are established, maintained, transgressed and negotiated, both at the administrative level and among frontline professionals. The paper discusses three types of boundary work: (i) demarcating professional domains; (ii) setting the boundaries of the task itself; and (iii) managing administrative boundaries. The main argument is that the production, maintenance and transgression of these three types of boundaries constitute central and time-consuming aspects of the practices of public health professionals, and that boundary work constitutes an important element in professional practices seeking to 'tame a wicked problem', such as social inequalities in health. A cross-cutting feature of the three types of boundary work is the management of the divide between health and social issues, which the professionals seemingly seek to uphold and transgress at the same time. The paper thus contributes to ongoing discussions of intersectoral action to address health inequalities. Furthermore, it extends the scope and application of the concept of boundary work in the sociology of public health by suggesting that the focus in previous research on professional demarcation be broadened in order to capture other types of boundaries that shape, and are shaped by, professional practices. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Health inequality - determinants and policies

    DEFF Research Database (Denmark)

    Diderichsen, Finn; Andersen, Ingelise; Manual, Celie

    2012-01-01

    The review ”Health inequality – determinants and policies” identifies key-areas to be addressed with the aim to reduce the social inequality in health. The general life expectancy has steadily been increasing, but the data reveals marked social inequalities in health as well as life expectancy....... The review seeks to identify the causes of this social inequality. The analysis finds 12 areas of great importance for the inequality in health. This is i.e. early child development, schooling and education, the health behavior of the population, and the role of the health system. Within each of the 12 areas...

  13. Global income related health inequalities

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    Jalil Safaei

    2007-01-01

    Full Text Available Income related health inequalities have been estimated for various groups of individuals at local, state, or national levels. Almost all of theses estimates are based on individual data from sample surveys. Lack of consistent individual data worldwide has prevented estimates of international income related health inequalities. This paper uses the (population weighted aggregate data available from many countries around the world to estimate worldwide income related health inequalities. Since the intra-country inequalities are subdued by the aggregate nature of the data, the estimates would be those of the inter-country or international health inequalities. As well, the study estimates the contribution of major socioeconomic variables to the overall health inequalities. The findings of the study strongly support the existence of worldwide income related health inequalities that favor the higher income countries. Decompositions of health inequalities identify inequalities in both the level and distribution of income as the main source of health inequality along with inequalities in education and degree of urbanization as other contributing determinants. Since income related health inequalities are preventable, policies to reduce the income gaps between the poor and rich nations could greatly improve the health of hundreds of millions of people and promote global justice. Keywords: global, income, health inequality, socioeconomic determinants of health

  14. Income-related health inequalities across regions in Korea

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    Ahn Byung

    2011-10-01

    Full Text Available Abstract Introduction In addition to economic inequalities, there has been growing concern over socioeconomic inequalities in health across income levels and/or regions. This study measures income-related health inequalities within and between regions and assesses the possibility of convergence of socioeconomic inequalities in health as regional incomes converge. Methods We considered a total of 45,233 subjects (≥ 19 years drawn from the four waves of the Korean National Health and Nutrition Examination Survey (KNHANES. We considered true health as a latent variable following a lognormal distribution. We obtained ill-health scores by matching self-rated health (SRH to its distribution and used the Gini Coefficient (GC and an income-related ill-health Concentration Index (CI to examine inequalities in income and health, respectively. Results The GC estimates were 0.3763 and 0.0657 for overall and spatial inequalities, respectively. The overall CI was -0.1309, and the spatial CI was -0.0473. The spatial GC and CI estimates were smaller than their counterparts, indicating substantial inequalities in income (from 0.3199 in Daejeon to 0.4233 Chungnam and income-related health inequalities (from -0.1596 in Jeju and -0.0844 in Ulsan within regions. The results indicate a positive relationship between the GC and the average ill-health and a negative relationship between the CI and the average ill-health. Those regions with a low level of health tended to show an unequal distribution of income and health. In addition, there was a negative relationship between the GC and the CI, that is, the larger the income inequalities, the larger the health inequalities were. The GC was negatively related to the average regional income, indicating that an increase in a region's average income reduced income inequalities in the region. On the other hand, the CI showed a positive relationship, indicating that an increase in a region's average income reduced health

  15. Social inequalities in health: a proper concern of epidemiology.

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    Marmot, Michael; Bell, Ruth

    2016-04-01

    Social inequalities are a proper concern of epidemiology. Epidemiological thinking and modes of analysis are central, but epidemiological research is one among many areas of study that provide the evidence for understanding the causes of social inequalities in health and what can be done to reduce them. Understanding the causes of health inequalities requires insights from social, behavioral and biological sciences, and a chain of reasoning that examines how the accumulation of positive and negative influences over the life course leads to health inequalities in adult life. Evidence that the social gradient in health can be reduced should make us optimistic that reducing health inequalities is a realistic goal for all societies. Copyright © 2016 Elsevier Inc. All rights reserved.

  16. Health and social inequities in Sweden

    DEFF Research Database (Denmark)

    Diderichsen, Finn

    1990-01-01

    Sweden is one of Europe's most egalitarian countries. The social inequities in living conditions have been gradually reduced to a level that is more equal than in most countries in Europe. Even if general health development has been positive during recent years, data reviewed here indicate...... that there may be adverse effects for some groups which may increase inequities. This article presents results on inequities in health from the Public Health Report of Sweden 1987 and discusses causal mechanisms and implications for health policy....

  17. Leveraging technology to reduce health inequities in Kenya | IDRC ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2016-11-22

    Nov 22, 2016 ... The three-year study, titled Addressing health inequities in Kenya: Potential and ... through applied research capacity building in e-health (SEARCH) program. ... For example, MoH was involved from project formulation and ...

  18. Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity among adults.

    Science.gov (United States)

    Bambra, Clare L; Hillier, Frances C; Moore, Helen J; Cairns-Nagi, Joanne-Marie; Summerbell, Carolyn D

    2013-05-10

    Socioeconomic inequalities in obesity and associated risk factors for obesity are widening throughout developed countries worldwide. Tackling obesity is high on the public health agenda both in the United Kingdom and internationally. However, what works in terms of interventions that are able to reduce inequalities in obesity is lacking. The review will examine public health interventions at the individual, community and societal level that might reduce inequalities in obesity among adults aged 18 years and over, in any setting and in any country. The following electronic databases will be searched: MEDLINE, EMBASE, CINAHL, PsycINFO, Social Science Citation Index, ASSIA, IBSS, Sociological Abstracts, and the NHS Economic Evaluation Database. Database searches will be supplemented with website and gray literature searches. No studies will be excluded based on language, country or publication date. Randomized and non-randomized controlled trials, prospective and retrospective cohort studies (with/without control groups) and prospective repeat cross-sectional studies (with/without control groups) that have a primary outcome that is a proxy for body fatness and have examined differential effects with regard to socioeconomic status (education, income, occupation, social class, deprivation, poverty) or where the intervention has been targeted specifically at disadvantaged groups or deprived areas will be included. Study inclusion, data extraction and quality appraisal will be conducted by two reviewers. Meta-analysis and narrative synthesis will be conducted. The main analysis will examine the effects of 1) individual, 2) community and 3) societal level public health interventions on socioeconomic inequalities in adult obesity. Interventions will be characterized by their level of action and their approach to tackling inequalities. Contextual information on how such public health interventions are organized, implemented and delivered will also be examined. The review

  19. Global oral health inequalities: task group--implementation and delivery of oral health strategies

    DEFF Research Database (Denmark)

    Sheiham, A; Alexander, D; Cohen, L

    2011-01-01

    This paper reviews the shortcomings of present approaches to reduce oral diseases and inequalities, details the importance of social determinants, and links that to research needs and policies on implementation of strategies to reduce oral health inequalities. Inequalities in health...... their environment. There is a dearth of oral health research on social determinants that cause health-compromising behaviors and on risk factors common to some chronic diseases. The gap between what is known and implemented by other health disciplines and the dental fraternity needs addressing. To re-orient oral...... strategies tailored to determinants and needs of each group along the social gradient. Approaches focusing mainly on downstream lifestyle and behavioral factors have limited success in reducing health inequalities. They fail to address social determinants, for changing people's behaviors requires changing...

  20. Using Evidence to Reduce Health Inequalities in East and Southern ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    ... and use research that will help policymakers implement stronger health systems. ... health inequities -allocating resources to ensure essential health services in ... IWRA/IDRC webinar on climate change and adaptive water management.

  1. Health inequalities in Ethiopia: modeling inequalities in length of life within and between population groups.

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    Tranvåg, Eirik Joakim; Ali, Merima; Norheim, Ole Frithjof

    2013-07-11

    Most studies on health inequalities use average measures, but describing the distribution of health can also provide valuable knowledge. In this paper, we estimate and compare within-group and between-group inequalities in length of life for population groups in Ethiopia in 2000 and 2011. We used data from the 2011 and 2000 Ethiopia Demographic and Health Survey and the Global Burden of Disease study 2010, and the MODMATCH modified logit life table system developed by the World Health Organization to model mortality rates, life expectancy, and length of life for Ethiopian population groups stratified by wealth quintiles, gender and residence. We then estimated and compared within-group and between-group inequality in length of life using the Gini index and absolute length of life inequality. Length of life inequality has decreased and life expectancy has increased for all population groups between 2000 and 2011. Length of life inequality within wealth quintiles is about three times larger than the between-group inequality of 9 years. Total length of life inequality in Ethiopia was 27.6 years in 2011. Longevity has increased and the distribution of health in Ethiopia is more equal in 2011 than 2000, with length of life inequality reduced for all population groups. Still there is considerable potential for further improvement. In the Ethiopian context with a poor and highly rural population, inequality in length of life within wealth quintiles is considerably larger than between them. This suggests that other factors than wealth substantially contribute to total health inequality in Ethiopia and that identification and quantification of these factors will be important for identifying proper measures to further reduce length of life inequality.

  2. Progress in reducing inequalities in reproductive, maternal, newborn,' and child health in Latin America and the Caribbean: an unfinished agenda

    Directory of Open Access Journals (Sweden)

    María Clara Restrepo-Méndez

    2015-07-01

    Full Text Available OBJECTIVE: To expand the "Countdown to 2015" analyses of health inequalities beyond the 75 countries being monitored worldwide to include all countries in Latin America and the Caribbean (LAC that have adequate data available. METHODS: Demographic and Health Surveys and Multiple Indicator Cluster Surveys were used to monitor progress in health intervention coverage and inequalities in 13 LAC countries, five of which are included in the Countdown (Bolivia, Brazil, Guatemala, Haiti, and Peru and eight that are not (Belize, Colombia, Costa Rica, Dominican Republic, Guyana, Honduras, Nicaragua, and Suriname. The outcomes included neonatal and under-5 year mortality rates, child stunting prevalence, and the composite coverage index-a weighted average of eight indicators of coverage in reproductive, maternal, newborn, and child health. The slope index of inequality and concentration index were used to assess absolute and relative inequalities. RESULTS: The composite coverage index showed monotonic patterns over wealth quintiles, with lowest levels in the poorest quintile. Under-5 and neonatal mortality as well as stunting prevalence were highest among the poor. In most countries, intervention coverage increased, while under-5 mortality and stunting prevalence fell most rapidly among the poor, so that inequalities were reduced over time. However, Bolivia, Guatemala, Haiti, Nicaragua, and Peru still show marked inequalities. Brazil has practically eliminated inequalities in stunting. CONCLUSIONS: LAC countries presented substantial progress in terms of reducing inequalities in reproductive, maternal, newborn, and child health interventions, child mortality, and nutrition. However, the poorest 20% of the population in most countries is still lagging behind, and renewed actions are needed to improve equity.

  3. Progress in reducing inequalities in reproductive, maternal, newborn,' and child health in Latin America and the Caribbean: an unfinished agenda.

    Science.gov (United States)

    Restrepo-Méndez, María Clara; Barros, Aluísio J D; Requejo, Jennifer; Durán, Pablo; Serpa, Luis Andrés de Francisco; França, Giovanny V A; Wehrmeister, Fernando C; Victora, Cesar G

    2015-07-01

    To expand the "Countdown to 2015" analyses of health inequalities beyond the 75 countries being monitored worldwide to include all countries in Latin America and the Caribbean (LAC) that have adequate data available. Demographic and Health Surveys and Multiple Indicator Cluster Surveys were used to monitor progress in health intervention coverage and inequalities in 13 LAC countries, five of which are included in the Countdown (Bolivia, Brazil, Guatemala, Haiti, and Peru) and eight that are not (Belize, Colombia, Costa Rica, Dominican Republic, Guyana, Honduras, Nicaragua, and Suriname). The outcomes included neonatal and under-5 year mortality rates, child stunting prevalence, and the composite coverage index-a weighted average of eight indicators of coverage in reproductive, maternal, newborn, and child health. The slope index of inequality and concentration index were used to assess absolute and relative inequalities. The composite coverage index showed monotonic patterns over wealth quintiles, with lowest levels in the poorest quintile. Under-5 and neonatal mortality as well as stunting prevalence were highest among the poor. In most countries, intervention coverage increased, while under-5 mortality and stunting prevalence fell most rapidly among the poor, so that inequalities were reduced over time. However, Bolivia, Guatemala, Haiti, Nicaragua, and Peru still show marked inequalities. Brazil has practically eliminated inequalities in stunting. LAC countries presented substantial progress in terms of reducing inequalities in reproductive, maternal, newborn, and child health interventions, child mortality, and nutrition. However, the poorest 20% of the population in most countries is still lagging behind, and renewed actions are needed to improve equity.

  4. Reducing inequalities in health and access to health care in a rural Indian community: an India-Canada collaborative action research project.

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    Haddad, Slim; Narayana, Delampady; Mohindra, Ks

    2011-11-08

    Inadequate public action in vulnerable communities is a major constraint for the health of poor and marginalized groups in low and middle-income countries (LMICs). The south Indian state of Kerala, known for relatively equitable provision of public resources, is no exception to the marginalization of vulnerable communities. In Kerala, women's lives are constrained by gender-based inequalities and certain indigenous groups are marginalized such that their health and welfare lag behind other social groups. The goal of this socially-engaged, action-research initiative was to reduce social inequalities in access to health care in a rural community. Specific objectives were: 1) design and implement a community-based health insurance scheme to reduce financial barriers to health care, 2) strengthen local governance in monitoring and evidence-based decision-making, and 3) develop an evidence base for appropriate health interventions. Health and social inequities have been masked by Kerala's overall progress. Key findings illustrated large inequalities between different social groups. Particularly disadvantaged are lower-caste women and Paniyas (a marginalized indigenous group), for whom inequalities exist across education, employment status, landholdings, and health. The most vulnerable populations are the least likely to receive state support, which has broader implications for the entire country. A community based health solidarity scheme (SNEHA), under the leadership of local women, was developed and implemented yielding some benefits to health equity in the community-although inclusion of the Paniyas has been a challenge. The Canadian-Indian action research team has worked collaboratively for over a decade. An initial focus on surveys and data analysis has transformed into a focus on socially engaged, participatory action research. Adapting to unanticipated external forces, maintaining a strong team in the rural village, retaining human resources capable of analyzing

  5. Reducing inequalities in health and access to health care in a rural Indian community: an India-Canada collaborative action research project

    Directory of Open Access Journals (Sweden)

    Mohindra KS

    2011-11-01

    Full Text Available Abstract Background Inadequate public action in vulnerable communities is a major constraint for the health of poor and marginalized groups in low and middle-income countries (LMICs. The south Indian state of Kerala, known for relatively equitable provision of public resources, is no exception to the marginalization of vulnerable communities. In Kerala, women’s lives are constrained by gender-based inequalities and certain indigenous groups are marginalized such that their health and welfare lag behind other social groups. The research The goal of this socially-engaged, action-research initiative was to reduce social inequalities in access to health care in a rural community. Specific objectives were: 1 design and implement a community-based health insurance scheme to reduce financial barriers to health care, 2 strengthen local governance in monitoring and evidence-based decision-making, and 3 develop an evidence base for appropriate health interventions. Results and outcomes Health and social inequities have been masked by Kerala’s overall progress. Key findings illustrated large inequalities between different social groups. Particularly disadvantaged are lower-caste women and Paniyas (a marginalized indigenous group, for whom inequalities exist across education, employment status, landholdings, and health. The most vulnerable populations are the least likely to receive state support, which has broader implications for the entire country. A community based health solidarity scheme (SNEHA, under the leadership of local women, was developed and implemented yielding some benefits to health equity in the community—although inclusion of the Paniyas has been a challenge. The partnership The Canadian-Indian action research team has worked collaboratively for over a decade. An initial focus on surveys and data analysis has transformed into a focus on socially engaged, participatory action research. Challenges and successes Adapting to

  6. Does inequality in health impede economic growth?

    Science.gov (United States)

    Grimm, Michael

    2011-01-01

    This paper investigates the effects of inequality in health on economic growth in low and middle income countries. The empirical part of the paper uses an original cross-national panel data set covering 62 low and middle income countries over the period 1985 to 2007. I find a substantial and relatively robust negative effect of health inequality on income levels and income growth controlling for life expectancy, country and time fixed-effects and a large number of other effects that have been shown to matter for growth. The effect also holds if health inequality is instrumented to circumvent a potential problem of reverse causality. Hence, reducing inequality in the access to health care and to health-related information can make a substantial contribution to economic growth.

  7. Inequality in health versus inequality in lifestyle choices

    Directory of Open Access Journals (Sweden)

    Arnstein Øvrum

    2015-10-01

    Full Text Available Repeated Norwegian cross-sectional data for the period 2005 to 2011 are used to compare sources of inequality in health, as represented by self-assessed health and obesity, with sources of inequality in lifestyles that are central to the production of health, as represented by physical activity, cigarette smoking and dietary behavior. Sources of overall inequality and socioeconomic inequality in these lifestyle and health indicators are compared by estimating probit models, and by decomposing the explained part of the associated Gini and concentration indices with respect to education and income. As potential sources of inequality, we consider education, income, occupation, age, gender, marital status, psychological traits and childhood circumstances. Our results suggest that sources of inequality in health are not necessarily representative of sources of inequality in underlying lifestyles. While education is generally an important source of overall inequality in both lifestyles and health, income is unimportant in all lifestyle indicators except physical activity. In several cases, education and income are clearly outranked by other factors in terms of explaining overall inequality, such as gender in eating fruits and vegetables and age in fish consumption. These results suggest that it is important to decompose both overall inequality and socioeconomic inequality in different lifestyle and health indicators. In indicators where other factors than education and income are clearly most important, policy makers should consider to target these factors to efficiently improve overall population health.

  8. Can social inclusion policies reduce health inequalities in sub-Saharan Africa?--A rapid policy appraisal.

    Science.gov (United States)

    Rispel, Laetitia C; de Sousa, César A D Palha; Molomo, Boitumelo G

    2009-08-01

    implementation capacity problems. The key messages to sub-Saharan African governments include: health inequalities must be measured; social policies must be carefully designed and effectively implemented addressing the constraints identified; monitoring and evaluation systems need improvement; and participation of the community needs to be encouraged through conducive and enabling environments. There is a need for a strong movement by civil society to address health inequalities and to hold governments accountable for improved health and reduced health inequalities.

  9. [The Common Risk Factor Approach - An Integrated Population- and Evidence-Based Approach for Reducing Social Inequalities in Oral Health].

    Science.gov (United States)

    Heilmann, A; Sheiham, A; Watt, R G; Jordan, R A

    2016-10-01

    Worldwide, non-communicable diseases including dental caries and periodontal diseases, remain a major public health problem. Moreover, there is a social gradient in health across society that runs from the top to the bottom in a linear, stepwise fashion. Health promoting behaviours become more difficult to sustain further down the social ladder. Oral health inequalities also exist in Germany. Earlier explanations of social inequalities have mainly focused on individual lifestyle factors, ignoring the broader social determinants of health and disease. Until recently, the dominant approaches to general health promotion focused on actions to reduce specific diseases, separating oral health from general health. An alternative approach is the common risk factor approach (CRFA) where risk factors common to a number of major chronic diseases, including diseases of the mouth and teeth, are tackled. The CRFA focuses on the common underlying determinants of health to improve the overall health of populations, thereby reducing social inequalities. The main implication of the CRFA for oral health policies is to work in partnership with a range of other sectors and disciplines. Oral health issues need to be integrated with recommendations to promote general health. Improvements in oral health and a reduction in oral health inequalities are more likely by working in partnership across sectors and disciplines using strategies that focus upstream on the underlying determinants of oral diseases. © Georg Thieme Verlag KG Stuttgart · New York.

  10. Reducing Health Inequities in the United States: Insights and Recommendations from the National Heart, Lung, and Blood Institute’s Health Inequities Think Tank Meeting

    Science.gov (United States)

    Sampson, Uchechukwu K.A.; Kaplan, Robert M.; Cooper, Richard S.; Diez Roux, Ana V.; Marks, James S.; Engelgau, Michael M.; Peprah, Emmanuel; Mishoe, Helena; Boulware, L. Ebony; Felix, Kaytura L.; Califf, Robert M.; Flack, John M.; Cooper, Lisa A.; Gracia, J. Nadine; Henderson, Jeffrey A.; Davidson, Karina W.; Krishnan, Jerry A.; Lewis, Tené T.; Sanchez, Eduardo; Luban, Naomi L.; Vaccarino, Viola; Wong, Winston F.; Wright, Jackson T.; Meyers, David; Ogedegbe, Olugbenga G.; Presley-Cantrell, Letitia; Chambers, David A.; Belis, Deshirée; Bennett, Glen C.; Boyington, Josephine E; Creazzo, Tony L.; de Jesus, Janet M.; Krishnamurti, Chitra; Lowden, Mia R.; Punturieri, Antonello; Shero, Susan T.; Young, Neal S.; Zou, Shimian; Mensah, George A.

    2016-01-01

    The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) Embrace broad and inclusive research themes; 2) Develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) Develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) Optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panel’s remarks and recommendations are provided in this report. PMID:27470459

  11. Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity amongst children

    Directory of Open Access Journals (Sweden)

    Bambra Clare L

    2012-02-01

    Full Text Available Abstract Background There is growing evidence of the impact of overweight and obesity on short- and long-term functioning, health and well-being. Internationally, childhood obesity rates continue to rise in some countries (for example, Mexico, India, China and Canada, although there is emerging evidence of a slowing of this increase or a plateauing in some age groups. In most European countries, the United States and Australia, however, socioeconomic inequalities in relation to obesity and risk factors for obesity are widening. Addressing inequalities in obesity, therefore, has a very high profile on the public health and health services agendas. However, there is a lack of accessible policy-ready evidence on what works in terms of interventions to reduce inequalities in obesity. Methods and design This article describes the protocol for a National Health Service Trust (NHS National Institute for Health Research-funded systematic review of public health interventions at the individual, community and societal levels which might reduce socioeconomic inequalities in relation to obesity amongst children ages 0 to 18 years. The studies will be selected only if (1 they included a primary outcome that is a proxy for body fatness and (2 examined differential effects with regard to socioeconomic status (education, income, occupation, social class, deprivation and poverty or the intervention was targeted specifically at disadvantaged groups (for example, children of the unemployed, lone parents, low income and so on or at people who live in deprived areas. A rigorous and inclusive international literature search will be conducted for randomised and nonrandomised controlled trials, prospective and retrospective cohort studies (with and/or without control groups and prospective repeat cross-sectional studies (with and/or without control groups. The following electronic databases will be searched: MEDLINE, Embase, CINAHL, PsycINFO, Social Science Citation

  12. Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity amongst children.

    Science.gov (United States)

    Bambra, Clare L; Hillier, Frances C; Moore, Helen J; Summerbell, Carolyn D

    2012-02-23

    There is growing evidence of the impact of overweight and obesity on short- and long-term functioning, health and well-being. Internationally, childhood obesity rates continue to rise in some countries (for example, Mexico, India, China and Canada), although there is emerging evidence of a slowing of this increase or a plateauing in some age groups. In most European countries, the United States and Australia, however, socioeconomic inequalities in relation to obesity and risk factors for obesity are widening. Addressing inequalities in obesity, therefore, has a very high profile on the public health and health services agendas. However, there is a lack of accessible policy-ready evidence on what works in terms of interventions to reduce inequalities in obesity. This article describes the protocol for a National Health Service Trust (NHS) National Institute for Health Research-funded systematic review of public health interventions at the individual, community and societal levels which might reduce socioeconomic inequalities in relation to obesity amongst children ages 0 to 18 years. The studies will be selected only if (1) they included a primary outcome that is a proxy for body fatness and (2) examined differential effects with regard to socioeconomic status (education, income, occupation, social class, deprivation and poverty) or the intervention was targeted specifically at disadvantaged groups (for example, children of the unemployed, lone parents, low income and so on) or at people who live in deprived areas. A rigorous and inclusive international literature search will be conducted for randomised and nonrandomised controlled trials, prospective and retrospective cohort studies (with and/or without control groups) and prospective repeat cross-sectional studies (with and/or without control groups). The following electronic databases will be searched: MEDLINE, Embase, CINAHL, PsycINFO, Social Science Citation Index, ASSIA, IBSS, Sociological Abstracts and the

  13. Social Determinants of LGBT Cancer Health Inequities.

    Science.gov (United States)

    Matthews, Alicia K; Breen, Elizabeth; Kittiteerasack, Priyoth

    2018-02-01

    To describe the extant literature on social determinants of health as they relate to the cancer disparities and to highlight the research findings relating to lesbian, gay, bisexual, and transgender (LGBT) populations. Published scientific literature and clinical literature, and published reports from the World Health Organization and US Department of Health and Human Services. The larger literature on health inequities is moving beyond individual-level predictors of risk to evaluate the influence of social determinants of health on the persistent health inequalities in a population. As it has for other groups, additional research into social determinants of health for LGBT persons of color may play an important role in identifying and reducing cancer inequities for this group. Increased awareness of the factors that contribute to health inequities for the LGBT population may provide insight into improving patient-provider relationships with LGBT patients. A large body of experiential and clinical knowledge positions nurses to conduct meaningful research to expand the current understanding of the social determinants of LGBT cancer health inequities. Copyright © 2017 Elsevier Inc. All rights reserved.

  14. The impact of primary healthcare in reducing inequalities in child health outcomes, Bogotá-Colombia: an ecological analysis.

    Science.gov (United States)

    Mosquera, Paola A; Hernández, Jinneth; Vega, Román; Martínez, Jorge; Labonte, Ronald; Sanders, David; San Sebastián, Miguel

    2012-11-13

    Colombia is one of the countries with the widest levels of socioeconomic and health inequalities. Bogotá, its capital, faces serious problems of poverty, social disparities and access to health services. A Primary Health Care (PHC) strategy was implemented in 2004 to improve health care and to address the social determinants of such inequalities. This study aimed to evaluate the contribution of the PHC strategy to reducing inequalities in child health outcomes in Bogotá. An ecological analysis with localities as the unit of analysis was carried out. The variable used to capture the socioeconomic status and living standards was the Quality of Life Index (QLI). Concentration curves and concentration indices for four child health outcomes (infant mortality rate (IMR), under-5 mortality rate, prevalence of acute malnutrition in children under-5, and vaccination coverage for diphtheria, pertussis and tetanus) were calculated to measure socioeconomic inequality. Two periods were used to describe possible changes in the magnitude of the inequalities related with the PHC implementation (2003 year before - 2007 year after implementation). The contribution of the PHC intervention was computed by a decomposition analysis carried out on data from 2007. In both 2003 and 2007, concentration curves and indexes of IMR, under-5 mortality rate and acute malnutrition showed inequalities to the disadvantage of localities with lower QLI. Diphtheria, pertussis and tetanus (DPT) vaccinations were more prevalent among localities with higher QLI in 2003 but were higher in localities with lower QLI in 2007. The variation of the concentration index between 2003 and 2007 indicated reductions in inequality for all of the indicators in the period after the PHC implementation. In 2007, PHC was associated with a reduction in the effect of the inequality that affected disadvantaged localities in under-5 mortality (24%), IMR (19%) and acute malnutrition (7%). PHC also contributed approximately 20

  15. Was Mackenbach right? Towards a practical political science of redistribution and health inequalities.

    Science.gov (United States)

    Schrecker, Ted

    2017-07-01

    In 2010, Mackenbach reflected on England's lack of success in reducing health inequalities between 1997 and 2010, asserting that "it is difficult to imagine a longer window of opportunity for tackling health inequalities"; asking "[i]f this did not work, what will?"; and concluding that reducing health inequalities was not politically feasible at least in that jurisdiction. Exploring the empirics of that observation offers a window into the politics of reducing health inequalities. For purposes of future comparative research, I outline three (not mutually exclusive) perspectives on political feasibility, identify their implications for a political science of health inequalities, and explore what they mean for advocacy in support of reducing those inequalities. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. [Reducing inequality by improving preventing measures].

    Science.gov (United States)

    Valsecchi, M

    2014-01-01

    Terms of inequalities issue in health service are defined and the consolidated scientific acquisitions are recalled. Three prioritary areas of action are defined and described, that Prevention Departments are suggested to activate through focused programs in order to reduce specific inequalities. First area of action: includes three types of vital interventions: vaccinations, contrasting of tuberculosis infection and oncological screening that have to be granted to specific disadvantaged groups of population as Rom communities, immigrant women, prisoners e psychiatric patients. Second area of action: actions on focused urban planning aiming to improve conditions of social housing (with a special focus on thermal insulation, minimal distances to be kept towards streets of havy traffic), increase of increase of urban green spaces enjoyed by the population and contrasting degradation of housing (with particular attention to poisoning by carbon monoxide). Third area of action: actions contrasting cardiovascular diseases, that is the leading cause of death and inequalities in health for the working class population. A coordinated intervention directly in the workplace is proposed, where a particularly high percentage of individuals exposed to specific risk factors is present.

  17. Is Income Inequality a Determinant of Population Health? Part 1. A Systematic Review

    Science.gov (United States)

    Lynch, John; Smith, George Davey; Harper, Sam; Hillemeier, Marianne; Ross, Nancy; Kaplan, George A; Wolfson, Michael

    2004-01-01

    This article reviews 98 aggregate and multilevel studies examining the associations between income inequality and health. Overall, there seems to be little support for the idea that income inequality is a major, generalizable determinant of population health differences within or between rich countries. Income inequality may, however, directly influence some health outcomes, such as homicide in some contexts. The strongest evidence for direct health effects is among states in the United States, but even that is somewhat mixed. Despite little support for a direct effect of income inequality on health per se, reducing income inequality by raising the incomes of the most disadvantaged will improve their health, help reduce health inequalities, and generally improve population health. PMID:15016244

  18. Can Social Inclusion Policies Reduce Health Inequalities in Sub-Saharan Africa?—A Rapid Policy Appraisal

    Science.gov (United States)

    Palha de Sousa, César A.D; Molomo, Boitumelo G

    2009-01-01

    implementation capacity problems. The key messages to sub-Saharan African governments include: health inequalities must be measured; social policies must be carefully designed and effectively implemented addressing the constraints identified; monitoring and evaluation systems need improvement; and participation of the community needs to be encouraged through conducive and enabling environments. There is a need for a strong movement by civil society to address health inequalities and to hold governments accountable for improved health and reduced health inequalities. PMID:19761083

  19. Does income inequality have lasting effects on health and trust?

    Science.gov (United States)

    Rözer, Jesper Jelle; Volker, Beate

    2016-01-01

    According to the income inequality hypothesis, income inequality is associated with poorer health. One important proposed mechanism for this effect is reduced trust. In this study, we argue that income inequality during a person's formative years (i.e., around age 16) may have lasting consequences for trust and health. Multilevel analyses of data from the combined World Values Survey and European Values Study that were collected between 1981 and 2014 support our prediction and show that income inequality is associated with ill health in young adults, in part because it reduces their social trust. The negative consequences of income inequality remain stable for a substantial period of life but eventually fade away and have no effect after age 36. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. Social justice, epidemiology and health inequalities.

    Science.gov (United States)

    Marmot, Michael

    2017-07-01

    A lifetime spent studying how social determinants of health lead to health inequalities has clarified many issues. First is that social stratification is an appropriate topic of study for epidemiologists. To ignore it would be to ignore a major source of variation in health in society. Not only is the social gradient in health appropriate to study but we have made progress both in understanding its causes and what can be done to address them. Post-modern 'critical theory' raises questions about the social construction of science. Given the attack on science by politicians of bad faith, it is important to recognise that epidemiology and public health have a crucial role to play in providing evidence to improve health of society and reduce inequalities. Evidence gives grounds for optimism that progress can be made both in improving the health of the worst-off in society and narrowing health inequalities. Theoretical debates about 'inequality of what' have been helpful in clarifying theories that drive further gathering of evidence. While it is important to consider alternative explanations of the social gradient in health-principal among them reverse causation-evidence strongly supports social causation. Social action is by its nature political. It is, though, a vital function to provide the evidence that underpins action.

  1. [Research on social determinants of health and health inequalities: evidence for health in all policies].

    Science.gov (United States)

    Borrell, Carme; Malmusi, Davide

    2010-12-01

    This article aims to review conceptual frameworks and some principles to be considered in research on social determinants of health and health inequalities. Some indicators of research on these issues in Spain are described. General expenditure on research and development in Spain is far from the Organisation for Economic Co-operation and Development mean. In addition, both globally and within Spain, the scientific production on health inequalities is very low, especially compared with other research areas. The budget for research on health inequalities is also reduced. A striking example is provided by analysis of the projects funded by the Marató de TV3, which seems to have little interest in funding research on health inequalities. However, both the scientific production and project financing on health inequalities have increased in the last decade. Finally, to advance research on health inequalities and its contribution to the incorporation of health in all policies, recommendations are made, which include redefining priorities, ensuring resources and promoting knowledge translation. Copyright © 2010 SESPAS. Published by Elsevier Espana. All rights reserved.

  2. Global oral health inequalities: the view from a research funder.

    Science.gov (United States)

    Garcia, I; Tabak, L A

    2011-05-01

    Despite impressive worldwide improvements in oral health, inequalities in oral health status among and within countries remain a daunting public health challenge. Oral health inequalities arise from a complex web of health determinants, including social, behavioral, economic, genetic, environmental, and health system factors. Eliminating these inequalities cannot be accomplished in isolation of oral health from overall health, or without recognizing that oral health is influenced at multiple individual, family, community, and health systems levels. For several reasons, this is an opportune time for global efforts targeted at reducing oral health inequalities. Global health is increasingly viewed not just as a humanitarian obligation, but also as a vehicle for health diplomacy and part of the broader mission to reduce poverty, build stronger economies, and strengthen global security. Despite the global economic recession, there are trends that portend well for support of global health efforts: increased globalization of research and development, growing investment from private philanthropy, an absolute growth of spending in research and innovation, and an enhanced interest in global health among young people. More systematic and far-reaching efforts will be required to address oral health inequalities through the engagement of oral health funders and sponsors of research, with partners from multiple public and private sectors. The oral health community must be "at the table" with other health disciplines and create opportunities for eliminating inequalities through collaborations that can harness both the intellectual and financial resources of multiple sectors and institutions.

  3. The impact of primary healthcare in reducing inequalities in child health outcomes, Bogotá – Colombia: an ecological analysis

    Directory of Open Access Journals (Sweden)

    Mosquera Paola A

    2012-11-01

    Full Text Available Abstract Background Colombia is one of the countries with the widest levels of socioeconomic and health inequalities. Bogotá, its capital, faces serious problems of poverty, social disparities and access to health services. A Primary Health Care (PHC strategy was implemented in 2004 to improve health care and to address the social determinants of such inequalities. This study aimed to evaluate the contribution of the PHC strategy to reducing inequalities in child health outcomes in Bogotá. Methods An ecological analysis with localities as the unit of analysis was carried out. The variable used to capture the socioeconomic status and living standards was the Quality of Life Index (QLI. Concentration curves and concentration indices for four child health outcomes (infant mortality rate (IMR, under-5 mortality rate, prevalence of acute malnutrition in children under-5, and vaccination coverage for diphtheria, pertussis and tetanus were calculated to measure socioeconomic inequality. Two periods were used to describe possible changes in the magnitude of the inequalities related with the PHC implementation (2003 year before - 2007 year after implementation. The contribution of the PHC intervention was computed by a decomposition analysis carried out on data from 2007. Results In both 2003 and 2007, concentration curves and indexes of IMR, under-5 mortality rate and acute malnutrition showed inequalities to the disadvantage of localities with lower QLI. Diphtheria, pertussis and tetanus (DPT vaccinations were more prevalent among localities with higher QLI in 2003 but were higher in localities with lower QLI in 2007. The variation of the concentration index between 2003 and 2007 indicated reductions in inequality for all of the indicators in the period after the PHC implementation. In 2007, PHC was associated with a reduction in the effect of the inequality that affected disadvantaged localities in under-5 mortality (24%, IMR (19% and acute

  4. Health inequalities

    DEFF Research Database (Denmark)

    Diderichsen, Finn

    2016-01-01

    Social investment policy has become a central response to the demographic and economic challenges facing European welfare states. This focus on investment in human capabilities and their efficient use is, however, challenged by health inequalities where education, health and employment...... are increasingly linked. This paper outlines the main principles of social investment policies (learning, activation and protection) and links them to a conceptual model of health inequalities and the policy entry-points tackling them by addressing the processes of social stratification, differential exposure...... investments in health so as to enable social investments to tackle the health divide....

  5. Explaining the role of the social determinants of health on health inequality in South Africa

    Directory of Open Access Journals (Sweden)

    John Ele-Ojo Ataguba

    2015-09-01

    Full Text Available Background: Action on the social determinants of health (SDH is relevant for reducing health inequalities. This is particularly the case for South Africa (SA with its very high level of income inequality and inequalities in health and health outcomes. This paper provides evidence on the key SDH for reducing health inequalities in the country using a framework initially developed by the World Health Organization. Objective: This paper assesses health inequalities in SA and explains the factors (i.e. SDH and other individual level factors that account for large disparities in health. The relative contribution of different SDH to health inequality is also assessed. Design: A cross-sectional design is used. Data come from the third wave of the nationally representative National Income Dynamics Study. A subsample of adults (18 years and older is used. The main variable of interest is dichotomised good versus bad self-assessed health (SAH. Income-related health inequality is assessed using the standard concentration index (CI. A positive CI means that the rich report better health than the poor. A negative value signifies the opposite. The paper also decomposes the CI to assess its contributing factors. Results: Good SAH is significantly concentrated among the rich rather than the poor (CI=0.008; p<0.01. Decomposition of this result shows that social protection and employment (contribution=0.012; p<0.01, knowledge and education (0.005; p<0.01, and housing and infrastructure (−0.003; p<0.01 contribute significantly to the disparities in good SAH in SA. After accounting for these other variables, the contribution of income and poverty is negligible. Conclusions: Addressing health inequalities inter alia requires an increased government commitment in terms of budgetary allocations to key sectors (i.e. employment, social protection, education, housing, and other appropriate infrastructure. Attention should also be paid to equity in benefits from

  6. Health Inequalities in Global Context

    Science.gov (United States)

    Beckfield, Jason; Olafsdottir, Sigrun

    2017-01-01

    The existence of social inequalities in health is well established. One strand of research focuses on inequalities in health within a single country. A separate and newer strand of research focuses on the relationship between inequality and average population health across countries. Despite the theorization of (presumably variable) social conditions as “fundamental causes” of disease and health, the cross-national literature has focused on average, aggregate population health as the central outcome. Controversies currently surround macro-structural determinants of overall population health such as income inequality. We advance and redirect these debates by conceptualizing inequalities in health as cross-national variables that are sensitive to social conditions. Using data from 48 World Values Survey countries, representing 74% of the world’s population, we examine cross-national variation in inequalities in health. The results reveal substantial variation in health inequalities according to income, education, sex, and migrant status. While higher socioeconomic position is associated with better self-rated health around the globe, the size of the association varies across institutional context, and across dimensions of stratification. There is some evidence that education and income are more strongly associated with self-rated health than sex or migrant status. PMID:29104292

  7. Reducing health inequities: the contribution of core public health services in BC

    Science.gov (United States)

    2013-01-01

    Background Within Canada, many public health leaders have long identified the importance of improving the health of all Canadians especially those who face social and economic disadvantages. Future improvements in population health will be achieved by promoting health equity through action on the social determinants of health. Many Canadian documents, endorsed by government and public health leaders, describe commitments to improving overall health and promoting health equity. Public health has an important role to play in strengthening action on the social determinants and promoting health equity. Currently, public health services in British Columbia are being reorganized and there is a unique opportunity to study the application of an equity lens in public health and the contribution of public health to reducing health inequities. Where applicable, we have chosen mental health promotion, prevention of mental disorders and harms of substance use as exemplars within which to examine specific application of an equity lens. Methods/design This research protocol is informed by three theoretical perspectives: complex adaptive systems, critical social justice, and intersectionality. In this program of research, there are four inter-related research projects with an emphasis on both integrated and end of grant knowledge translation. Within an overarching collaborative and participatory approach to research, we use a multiple comparative case study research design and are incorporating multiple methods such as discourse analysis, situational analysis, social network analysis, concept mapping and grounded theory. Discussion An important aim of this work is to help ensure a strong public health system that supports public health providers to have the knowledge, skills, tools and resources to undertake the promotion of health equity. This research will contribute to increasing the effectiveness and contributions of public health in reducing unfair and inequitable differences

  8. Income, Wealth and Health Inequalities - A Scottish Social Justice Perspective.

    Science.gov (United States)

    Molony, Elspeth; Duncan, Christine

    2016-01-01

    This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland's vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice-health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare.

  9. Poverty, inequality and a political economy of mental health.

    Science.gov (United States)

    Burns, J K

    2015-04-01

    The relationship between poverty and mental health is indisputable. However, to have an influence on the next set of sustainable global development goals, we need to understand the causal relationships between social determinants such as poverty, inequality, lack of education and unemployment; thereby clarifying which aspects of poverty are the key drivers of mental illness. Some of the major challenges identified by Lund (2014) in understanding the poverty-mental health relationship are discussed including: the need for appropriate poverty indicators; extending this research agenda to a broader range of mental health outcomes; the need to engage with theoretical concepts such as Amartya Sen's capability framework; and the need to integrate the concept of income/economic inequality into studies of poverty and mental health. Although income inequality is a powerful driver of poor physical and mental health outcomes, it features rarely in research and discourse on social determinants of mental health. This paper interrogates in detail the relationships between poverty, income inequality and mental health, specifically: the role of income inequality as a mediator of the poverty-mental health relationship; the relative utility of commonly used income inequality metrics; and the likely mechanisms underlying the impact of inequality on mental health, including direct stress due to the setting up of social comparisons as well as the erosion of social capital leading to social fragmentation. Finally, we need to interrogate the upstream political, social and economic causes of inequality itself, since these should also become potential targets in efforts to promote sustainable development goals and improve population (mental) health. In particular, neoliberal (market-oriented) political doctrines lead to both increased income inequality and reduced social cohesion. In conclusion, understanding the relationships between politics, poverty, inequality and mental health

  10. [Inequalities in health in Italy].

    Science.gov (United States)

    Caiazzo, Antonio; Cardano, Mario; Cois, Ester; Costa, Giuseppe; Marinacci, Chiara; Spadea, Teresa; Vannoni, Francesca; Venturini, Lorenzo

    2004-01-01

    Socioeconomic inequality and its impact on health is a growing concern in the European public health debate. In many countries, the issue is moving away from description towards the identification of the determinants of inequalities and the development of policies explicitly aimed at reducing inequalities in health. In Italy, ten years after the publication of the first report on inequalities in health, this topic is seldom present on the agenda of public policy makers. The purpose of this report is to update the Italian profile of social variation in health and health care in order to stimulate the debate on ways to tackle inequalities in health that are preventable. In the first section of this book, the threefold objective is to describe the principal mechanisms involved in the generation of social inequalities in health (Introduction); to report Italian data on the distribution and magnitude of this phenomenon in the last decade; and to evaluate policies and interventions in both the social (chapter 1.9, Section I) and the health sector (chapter 2.3, Section I), which are potentially useful to reduce health inequalities. It is intended for anyone who is in a position to contribute t o decision-making that will benefit the health of communities. For this reason, chapters are organized by specific determinants of inequalities on which interentions may have an impact. The methodological approach in the second section focuses on the best methods to monitor social inequalities including recommendations on social indicators, sources of information and study models, based on European guidelines revised for the Italian situation. According to data from national and local studies, mortality increases linearly with social disadvantage for a wide range of indicators at both the individual (education, social class, income, quality of housing) and the geographical level (deprivation indexes computed at different levels of aggregation). This positive correlation is evident

  11. How to improve collaboration between the public health sector and other policy sectors to reduce health inequalities? - A study in sixteen municipalities in the Netherlands.

    Science.gov (United States)

    Storm, Ilse; den Hertog, Frank; van Oers, Hans; Schuit, Albertine J

    2016-06-22

    The causes of health inequalities are complex. For the reduction of health inequalities, intersectoral collaboration between the public health sector and both social policy sectors (e.g. youth affairs, education) and physical policy sectors (e.g. housing, spatial planning) is essential, but in local practice difficult to realize. The aim of this study was to examine the collaboration between the sectors in question more closely and to identify opportunities for improvement. A qualitative descriptive analysis of five aspects of collaboration within sixteen Dutch municipalities was performed to examine the collaboration between the public health sector and other policy sectors: 1) involvement of the sectors in the public health policy network, 2) harmonisation of objectives, 3) use of policies by the relevant sectors, 4) formalised collaboration, and 5) previous experience. Empirical data on these collaboration aspects were collected based on document analysis, questionnaires and interviews. The study found that the policy workers of social sectors were more involved in the public health network and more frequently supported the objectives in the field of health inequality reduction. Both social policy sectors and physical policy sectors used policies and activities to reduce health inequalities. More is done to influence the determinants of health inequality through policies aimed at lifestyle and social setting than through policies aimed at socioeconomic factors and the physical environment. Where the physical policy sectors are involved in the public health network, the collaboration follows a very similar pattern as with the social policy sectors. All sectors recognise the importance of good relationships, positive experiences, a common interest in working together and coordinated mechanisms. This study shows that there is scope for improving collaboration in the field of health inequality reduction between the public health sector and both social policy sectors

  12. Determinants of MSK health and disability--social determinants of inequities in MSK health.

    Science.gov (United States)

    Guillemin, Francis; Carruthers, Erin; Li, Linda C

    2014-06-01

    Even in most egalitarian societies, disparities in care exist to the disadvantage of some people with chronic musculoskeletal (MSK) disorders and related disability. These situations translate into inequality in health and health outcomes. The goal of this chapter is to review concepts and determinants associated with health inequity, and the effect of interventions to minimize their impact. Health inequities are avoidable, unnecessary, unfair and unjust. Inequities can occur across the health care continuum, from primary and secondary prevention to diagnosis and treatment. There are many ways to define and identify inequities, according for instance to ethical, philosophical, epidemiological, sociological, economic, or public health points of view. These complementary views can be applied to set a framework of analysis, identify determinants and suggest targets of action against inequity. Most determinants of inequity in MSK disorders are similar to those in the general population and other chronic diseases. People may be exposed to inequity as a result of policies and rules set by the health care system, individuals' demographic characteristics (e.g., education level), or some behavior of health professionals and of patients. Osteoarthritis (OA) represents a typical chronic MSK condition. The PROGRESS-Plus framework is useful for identifying the important role that place of residence, race and ethnicity, occupation, gender, education, socioeconomic status, social capital and networks, age, disability and sexual orientation may have in creating or maintaining inequities in this disease. In rheumatoid arthritis (RA), a consideration of international data led to the conclusion that not all RA patients who needed biologic therapy had access to it. The disparity in care was due partly to policies of a country and a health care system, or economic conditions. We conclude this chapter by discussing examples of interventions designed for reducing health inequity

  13. What interventions are effective on reducing inequalities in maternal and child health in low- and middle-income settings? A systematic review.

    Science.gov (United States)

    Yuan, Beibei; Målqvist, Mats; Trygg, Nadja; Qian, Xu; Ng, Nawi; Thomsen, Sarah

    2014-06-21

    The deadline for achieving Millennium Development Goals 4 and 5 is approaching, but inequalities between disadvantaged and other populations is a significant barrier for progress towards achieving these goals. This systematic review aims to collect evidence about the differential effects of interventions on different sociodemographic groups in order to identify interventions that were effective in reducing maternal or child health inequalities. We searched the PubMed, EMBASE and other relevant databases. The reference lists of included reviews were also screened to find more eligible studies. We included experimental or observational studies that assessed the effects of interventions on maternal and child health, but only studies that report quantitative inequality outcomes were finally included for analysis. 22 articles about the effectiveness of interventions on equity in maternal and child health were finally included. These studies covered five kinds of interventions: immunization campaigns, nutrition supplement programs, health care provision improvement interventions, demand side interventions, and mixed interventions. The outcome indicators covered all MDG 4 and three MDG 5 outcomes. None of the included studies looked at equity in maternal mortality, adolescent birth rate and unmet need for family planning. The included studies reported inequalities based on gender, income, education level or comprehensive socioeconomic status. Stronger or moderate evidence showed that all kinds of the included interventions may be more effective in improving maternal or child health for those from disadvantaged groups. Studies about the effectiveness of interventions on equity in maternal or child health are limited. The limited evidence showed that the interventions that were effective in reducing inequity included the improvement of health care delivery by outreach methods, using human resources in local areas or provided at the community level nearest to residents and

  14. Health inequalities--gender perspective.

    Science.gov (United States)

    Ostrowska, Antonina

    2012-01-01

    Health inequalities have become recently one of the major concerns of European health policy. Observed differences in health status of men and women are also frequently discussed within this framework, and are becoming a subject of growing interest of researchers. Clinical and epidemiological researches document male-female health differences, trying to explain them within bio-medical model. However, apart of biological (sex) divergence, health inequalities reflect differences in social roles, social status and culturally established patterns and stereotypes of femininity and masculinity (gender differences). The article, using sociological perspective, attempts to show that observed differences in man's and women's health may be attributable to the differing sociocultural and structural arrangements, social support and lifestyle factors of both genders. As a result, many of these differences are of inequality character. Another dimension of inequality discussed in this article is the way man and women are treated by the institution of medicine.

  15. Income, Wealth and Health Inequalities — A Scottish Social Justice Perspective

    Directory of Open Access Journals (Sweden)

    Elspeth Molony

    2016-04-01

    Full Text Available This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland’s vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice—health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare.

  16. Income, Wealth and Health Inequalities — A Scottish Social Justice Perspective

    Science.gov (United States)

    Molony, Elspeth; Duncan, Christine

    2016-01-01

    This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland's vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice—health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare. PMID:29546160

  17. A critical review of social and health inequalities in the nursing curriculum.

    Science.gov (United States)

    Rozendo, Célia Alves; Santos Salas, Anna; Cameron, Brenda

    2017-03-01

    Social and health inequalities are a reality around the world and one of the most important challenges in the current age. Nurse educators can respond to these challenges by incorporating curricular components to identify and intervene in social and health inequalities. To examine how social and health inequalities have been addressed in the nursing curriculum. Informed by the work of Paulo Freire, a critical literature review was performed to examine how social and health inequalities have been addressed in the nursing curriculum. In July 2015, we searched for articles published from 2000 to 2015 in ERIC, CINAHL, Web of Science, Scielo, MEDLINE and LILACS databases. Main search terms included "disparity" or "inequality" and "curriculum" and "nursing." We included studies published in academic journals in English, Portuguese and Spanish. A total of 20 articles were included in this review. Most of the articles (15) were from the United States and described educational experiences in implementing courses in nursing undergraduate curricula. Limited experiences with graduate nursing education were identified. Social and health inequalities were approached in these articles through elements such as social justice, cultural competence, cultural safety, and advocacy. A concern to reduce social and health disparities was noted. We identified three major themes in the articles included in this review: 1) elements in the curricula that can contribute to reducing social and health inequalities; 2) educational and research strategies used to address the theme of inequalities; 3) a focus on socially vulnerable populations to increase awareness on social and health inequalities. Findings suggest that nursing education initiatives align with the recommendations from the World Health Organization to address disparities. There is also a need to identify existing conceptual and practical content on inequalities in the nursing curriculum through future research. Copyright © 2016

  18. Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India.

    Science.gov (United States)

    Gupta, Madhu; Angeli, Federica; Bosma, Hans; Rana, Monica; Prinja, Shankar; Kumar, Rajesh; van Schayck, Onno C P

    2016-01-01

    The implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India. Data of district-level household surveys (DLHS) held before (2002-04), during (2007-08), and after (2012-13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012. There were significant improvements in all MCH indicators (pInequalities between male and female children were significantly (pgender inequalities in MCH in Haryana, as causal relationships cannot be established with descriptive research.

  19. Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India

    Science.gov (United States)

    2016-01-01

    Objective The implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India. Methods Data of district-level household surveys (DLHS) held before (2002–04), during (2007–08), and after (2012–13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012. Results There were significant improvements in all MCH indicators (pInequalities between male and female children were significantly (pgender inequalities in MCH in Haryana, as causal relationships cannot be established with descriptive research. PMID:27003589

  20. Environmental justice and health practices: understanding how health inequities arise at the local level.

    Science.gov (United States)

    Frohlich, Katherine L; Abel, Thomas

    2014-02-01

    While empirical evidence continues to show that people living in low socio-economic status neighbourhoods are less likely to engage in health-enhancing behaviour, our understanding of why this is so remains less than clear. We suggest that two changes could take place to move from description to understanding in this field; (i) a move away from the established concept of individual health behaviour to a contextualised understanding of health practices; and (ii) a switch from focusing on health inequalities in outcomes to health inequities in conditions. We apply Pierre Bourdieu's theory on capital interaction but find it insufficient with regard to the role of agency for structural change. We therefore introduce Amartya Sen's capability approach as a useful link between capital interaction theory and action to reduce social inequities in health-related practices. Sen's capability theory also elucidates the importance of discussing unequal chances in terms of inequity, rather than inequality, in order to underscore the moral nature of inequalities. We draw on the discussion in social geography on environmental injustice, which also underscores the moral nature of the spatial distribution of opportunities. The article ends by applying this approach to the 'Interdisciplinary study of inequalities in smoking' framework. © 2013 The Authors. Sociology of Health & Illness © 2013 Foundation for the Sociology of Health & Illness/John Wiley & Sons Ltd.

  1. Are health inequalities rooted in the past? Income inequalities in metabolic syndrome decomposed by childhood conditions

    Science.gov (United States)

    San Sebastian, Miguel; Ivarsson, Anneli; Weinehall, Lars; Gustafsson, Per E.

    2017-01-01

    Abstract Background: Early life is thought of as a foundation for health inequalities in adulthood. However, research directly examining the contribution of childhood circumstances to the integrated phenomenon of adult social inequalities in health is absent. The present study aimed to examine whether, and to what degree, social conditions during childhood explain income inequalities in metabolic syndrome in mid-adulthood. Methods: The sample (N = 12 481) comprised all 40- and 50-year-old participants in the Västerbotten Intervention Program in Northern Sweden 2008, 2009 and 2010. Measures from health examinations were used to operationalize metabolic syndrome, which was linked to register data including socioeconomic conditions at age 40–50 years, as well as childhood conditions at participant age 10–12 years. Income inequality in metabolic syndrome in middle age was estimated by the concentration index and decomposed by childhood and current socioeconomic conditions using decomposition analysis. Results: Childhood conditions jointed explained 7% (men) to 10% (women) of health inequalities in middle age. Adding mid-adulthood sociodemographic factors showed a dominant contribution of chiefly current income and educational level in both gender. In women, the addition of current factors slightly attenuated the contribution of childhood conditions, but with paternal income and education still contributing. In contrast, the corresponding addition in men removed all explanation attributable to childhood conditions. Conclusions: Despite that the influence of early life conditions to adult health inequalities was considerably smaller than that of concurrent conditions, the study suggests that early interventions against social inequalities potentially could reduce health inequalities in the adult population for decades to come. PMID:27744345

  2. Lies, Damned Lies, and Health Inequality Measurements

    Science.gov (United States)

    Gerdtham, Ulf-G; Petrie, Dennis

    2015-01-01

    Measuring and monitoring socioeconomic health inequalities are critical for understanding the impact of policy decisions. However, the measurement of health inequality is far from value neutral, and one can easily present the measure that best supports one’s chosen conclusion or selectively exclude measures. Improving people’s understanding of the often implicit value judgments is therefore important to reduce the risk that researchers mislead or policymakers are misled. While the choice between relative and absolute inequality is already value laden, further complexities arise when, as is often the case, health variables have both a lower and upper bound, and thus can be expressed in terms of either attainments or shortfalls, such as for mortality/survival. We bring together the recent parallel discussions from epidemiology and health economics regarding health inequality measurement and provide a deeper understanding of the different value judgments within absolute and relative measures expressed both in attainments and shortfalls, by graphically illustrating both hypothetical and real examples. We show that relative measures in terms of attainments and shortfalls have distinct value judgments, highlighting that for health variables with two bounds the choice is no longer only between an absolute and a relative measure but between an absolute, an attainment- relative and a shortfall-relative one. We illustrate how these three value judgments can be combined onto a single graph which shows the rankings according to all three measures, and illustrates how the three measures provide ethical benchmarks against which to judge the difference in inequality between populations. PMID:26133019

  3. Early-life income inequality and adolescent health and well-being.

    Science.gov (United States)

    Elgar, Frank J; Gariépy, Geneviève; Torsheim, Torbjørn; Currie, Candace

    2017-02-01

    A prevailing hypothesis about the association between income inequality and poor health is that inequality intensifies social hierarchies, increases stress, erodes social and material resources that support health, and subsequently harms health. However, the evidence in support of this hypothesis is limited by cross-sectional, ecological studies and a scarcity of developmental studies. To address this limitation, we used pooled, multilevel data from the Health Behaviour in School-aged Children study to examine lagged, cumulative, and trajectory associations between early-life income inequality and adolescent health and well-being. Psychosomatic symptoms and life satisfaction were assessed in surveys of 11- to 15-year-olds in 40 countries between 1994 and 2014. We linked these data to national Gini indices of income inequality for every life year from 1979 to 2014. The results showed that exposure to income inequality from 0 to 4 years predicted psychosomatic symptoms and lower life satisfaction in females after controlling lifetime mean income inequality, national per capita income, family affluence, age, and cohort and period effects. The cumulative income inequality exposure in infancy and childhood (i.e., average Gini index from birth to age 10) related to lower life satisfaction in female adolescents but not to symptoms. Finally, individual trajectories in early-life inequality (i.e., linear slopes in Gini indices from birth to 10 years) related to fewer symptoms and higher life satisfaction in females, indicating that earlier exposures mattered more to predicting health and wellbeing. No such associations with early-life income inequality were found in males. These results help to establish the antecedent-consequence conditions in the association between income inequality and health and suggest that both the magnitude and timing of income inequality in early life have developmental consequences that manifest in reduced health and well-being in adolescent girls

  4. Does public health advocacy seek to redress health inequities? A scoping review.

    Science.gov (United States)

    Cohen, Benita E; Marshall, Shelley G

    2017-03-01

    The public health (PH) sector is ideally situated to take a lead advocacy role in catalysing and guiding multi-sectoral action to address social determinants of health inequities, but evidence suggests that PH's advocacy role has not been fully realised. The purpose of this review was to determine the extent to which the PH advocacy literature addresses the goal of reducing health and social inequities, and to increase understanding of contextual factors shaping the discourse and practice of PH advocacy. We employed scoping review methods to systematically examine and chart peer-reviewed and grey literature on PH advocacy published from January 1, 2000 to June 30, 2015. Databases and search engines used included: PubMed, CINAHL, PsycINFO, Social Sciences Citation Index, Google Scholar, Google, Google Books, ProQuest Dissertations and Theses, Grey Literature Report. A total of 183 documents were charted, and included in the final analysis. Thematic analysis was both inductive and deductive according to the objectives. Although PH advocacy to address root causes of health inequities is supported theoretically and through professional practice standards, the empirical literature does not reflect that this is occurring widely in PH practice. Tensions within the discourse were noted and multiple barriers to engaging in PH advocacy for health equity were identified, including a preoccupation with individual responsibilities for healthy lifestyles and behaviours, consistent with the emergence of neoliberal governance. If the PH sector is to fulfil its advocacy role in catalysing action to reduce health inequities, it will be necessary to address advocacy barriers at multiple levels, promote multi-sectoral efforts that implicate the state and corporations in the production of health inequities, and rally state involvement to redress these injustices. © 2016 John Wiley & Sons Ltd.

  5. Income inequality in the United States and its potential effect on oral health.

    Science.gov (United States)

    Moeller, Jamie; Starkel, Rebecca; Quiñonez, Carlos; Vujicic, Marko

    2017-06-01

    The authors explored the relationship between income inequality and self-reported oral health and oral health-related quality of life. The authors used an online survey to gather data about US adults' perceptions of their overall oral health and how oral health affected their quality of life. The authors categorized respondents as coming from areas of low, medium, or high income inequality on the basis of a county-level Gini coefficient. Results of χ 2 tests and an analysis of variance indicated that there was a significant association between income inequality and oral health as measured by using the overall condition of the mouth and teeth, life satisfaction, and frequency of experiencing functional and social problems related to oral health. Generally, adults from areas of lower income inequality reported better oral health and oral health-related quality of life. Income inequality has the potential to affect both functional and social dimensions of oral health, possibly through a psychosocial pathway. Future research is necessary to determine whether any causal link exists. Our findings may inform oral health policy. Long-term policies designed to improve the oral health of Americans could work best when supported by policies designed to reduce levels of income inequality, and thereby, may reduce oral health inequalities. Further research is needed to examine the effectiveness of such policies. Copyright © 2017 American Dental Association. Published by Elsevier Inc. All rights reserved.

  6. Do Socioeconomic Inequalities in Neonatal Mortality Reflect Inequalities in Coverage of Maternal Health Services? Evidence from 48 Low- and Middle-Income Countries.

    Science.gov (United States)

    McKinnon, Britt; Harper, Sam; Kaufman, Jay S

    2016-02-01

    To examine socioeconomic and health system determinants of wealth-related inequalities in neonatal mortality rates (NMR) across 48 low- and middle-income countries. We used data from Demographic and Health Surveys conducted between 2006 and 2012. Absolute and relative inequalities for NMR and coverage of antenatal care, facility-based delivery, and Caesarean delivery were measured using the Slope Index of Inequality and Relative Index of Inequality, respectively. Meta-regression was used to assess whether variation in the magnitude of NMR inequalities was associated with inequalities in coverage of maternal health services, and whether country-level economic and health system factors were associated with mean NMR and socioeconomic inequality in NMR. Of the three maternal health service indicators examined, the magnitude of socioeconomic inequality in NMR was most strongly related to inequalities in antenatal care. NMR inequality was greatest in countries with higher out-of-pocket health expenditures, more doctors per capita, and a higher adolescent fertility rate. Determinants of lower mean NMR (e.g., higher government health expenditures and a greater number of nurses/midwives per capita) differed from factors associated with lower NMR inequality. Reducing the financial burden of maternal health services and achieving universal coverage of antenatal care may contribute to a reduction in socioeconomic differences in NMR. Further investigation of the mechanisms contributing to these cross-national associations seems warranted.

  7. Macroeconomic policies and increasing social-health inequality in Iran.

    Science.gov (United States)

    Zaboli, Rouhollah; Seyedin, Seyed Hesam; Malmoon, Zainab

    2014-08-01

    Health is a complex phenomenon that can be studied from different approaches. Despite a growing research in the areas of Social Determinants of Health (SDH) and health equity, effects of macroeconomic policies on the social aspect of health are unknown in developing countries. This study aimed to determine the effect of macroeconomic policies on increasing of the social-health inequality in Iran. This study was a mixed method research. The study population consisted of experts dealing with social determinants of health. A purposive, stratified and non-random sampling method was used. Semi-structured interviews were conducted to collect the data along with a multiple attribute decision-making method for the quantitative phase of the research in which the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed for prioritization. The NVivo and MATLAB softwares were used for data analysis. Seven main themes for the effect of macroeconomic policies on increasing the social-health inequality were identified. The result of TOPSIS approved that the inflation and economic instability exert the greatest impact on social-health inequality, with an index of 0.710 and the government policy in paying the subsidies with a 0.291 index has the lowest impact on social-health inequality in the country. It is required to invest on the social determinants of health as a priority to reduce health inequality. Also, evaluating the extent to which the future macroeconomic policies impact the health of population is necessary.

  8. Population health in an era of rising income inequality: USA, 1980-2015.

    Science.gov (United States)

    Bor, Jacob; Cohen, Gregory H; Galea, Sandro

    2017-04-08

    Income inequality in the USA has increased over the past four decades. Socioeconomic gaps in survival have also increased. Life expectancy has risen among middle-income and high-income Americans whereas it has stagnated among poor Americans and even declined in some demographic groups. Although the increase in income inequality since 1980 has been driven largely by soaring top incomes, the widening of survival inequalities has occurred lower in the distribution-ie, between the poor and upper-middle class. Growing survival gaps across income percentiles since 2001 reflect falling real incomes among poor Americans as well as an increasingly strong association between low income and poor health. Changes in individual risk factors such as smoking, obesity, and substance abuse play a part but do not fully explain the steeper gradient. Distal factors correlated with rising inequality including unequal access to technological innovations, increased geographical segregation by income, reduced economic mobility, mass incarceration, and increased exposure to the costs of medical care might have reduced access to salutary determinants of health among low-income Americans. Having missed out on decades of income growth and longevity gains, low-income Americans are increasingly left behind. Without interventions to decouple income and health, or to reduce inequalities in income, we might see the emergence of a 21st century health-poverty trap and the further widening and hardening of socioeconomic inequalities in health. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Reducing inequalities in access to health care: developing a toolkit through action research.

    Science.gov (United States)

    Goyder, E C; Blank, L; Ellis, E; Furber, A; Peters, J; Sartain, K; Massey, C

    2005-10-01

    Healthcare organisations are expected both to monitor inequalities in access to health services and also to act to improve access and increase equity in service provision. Locally developed action research projects with an explicit objective of reducing inequalities in access. Eight different health care services in the Yorkshire and Humber region, including community based palliative care, general practice asthma care, hospital based cardiology clinics, and termination of pregnancy services. Changes in service provision, increasing attendance rates in targeted groups. Local teams identified the population concerned and appropriate interventions using both published and grey literature. Where change to service provision was achieved, local data were collected to monitor the impact of service change. A number of evidence based changes to service provision were proposed and implemented with variable success. Service uptake increased in some of the targeted populations. Interventions to improve access must be sensitive to local settings and need both practical and managerial support to succeed. It is particularly difficult to improve access effectively if services are already struggling to meet current demand. Key elements for successful interventions included effective local leadership, identification of an intervention which is both evidence based and locally practicable, and identification of additional resources to support increased activity. A "toolkit" has been developed to support the identification and implementation of appropriate changes.

  10. Tobacco Control Measures to Reduce Socioeconomic Inequality in Smoking: The Necessity, Time-Course Perspective, and Future Implications.

    Science.gov (United States)

    Tabuchi, Takahiro; Iso, Hiroyasu; Brunner, Eric

    2018-04-05

    Previous systematic reviews of population-level tobacco control interventions and their effects on smoking inequality by socioeconomic factors concluded that tobacco taxation reduce smoking inequality by income (although this is not consistent for other socioeconomic factors, such as education). Inconsistent results have been reported for socioeconomic differences, especially for other tobacco control measures, such as smoke-free policies and anti-tobacco media campaigns. To understand smoking inequality itself and to develop strategies to reduce smoking inequality, knowledge of the underlying principles or mechanisms of the inequality over a long time-course may be important. For example, the inverse equity hypothesis recognizes that inequality may evolve in stages. New population-based interventions are initially primarily accessed by the affluent and well-educated, so there is an initial increase in socioeconomic inequality (early stage). These inequalities narrow when the deprived population can access the intervention after the affluent have gained maximum benefit (late stage). Following this hypothesis, all tobacco control measures may have the potential to reduce smoking inequality, if they continue for a long term, covering and reaching all socioeconomic subgroups. Re-evaluation of the impact of the interventions on smoking inequality using a long time-course perspective may lead to a favorable next step in equity effectiveness. Tackling socioeconomic inequality in smoking may be a key public health target for the reduction of inequality in health.

  11. Linkage of data in the study of ethnic inequalities and inequities in health outcomes in Scotland, New Zealand and the Netherlands: Insights for global study of ethnicity and health

    NARCIS (Netherlands)

    Johnman, C.; Blakely, T.; Bansal, N.; Agyemang, C.; Ward, H.

    2012-01-01

    Reducing inequalities in health is a global priority. An essential tool in achieving this reduction is the ability to provide valid measurements of inequalities, which are comparable over time and ultimately across countries and continents. With valid data a true understanding of inequalities can be

  12. Educational inequalities in self-rated health across US states and European countries.

    Science.gov (United States)

    Präg, Patrick; Subramanian, S V

    2017-07-01

    The US shows a distinct health disadvantage when compared to other high-income nations. A potential lever to reduce this disadvantage is to improve the health situation of lower socioeconomic groups. Our objective is to explore how the considerable within-US variation in health inequalities compares to the health inequalities across other Western countries. Representative survey data from 44 European countries and the US federal states were obtained from the fourth wave of the European Values Study (EVS) and the 2008 wave of the Behavioral Risk Factor Surveillance System. Using binary logistic regression, we analyze different forms of educational inequalities in self-rated health (SRH), adjusted for age and sex. The extent of educational inequalities in SRH varies considerably over European countries and US states; with US states in general showing greater inequality, however, differences between US states and European countries are less clear than commonly assumed. The US has considerable differences in educational inequalities in SRH across geographic locations. To understand the reasons for the US health disadvantage, comparative research has to take into account the vast variation in health inequalities within the US.

  13. Investigating the impact of the English health inequalities strategy: time trend analysis.

    Science.gov (United States)

    Barr, Ben; Higgerson, James; Whitehead, Margaret

    2017-07-26

    Objective  To investigate whether the English health inequalities strategy was associated with a decline in geographical health inequalities, compared with trends before and after the strategy. Design  Time trend analysis. Setting  Two groups of lower tier local authorities in England. The most deprived, bottom fifth and the rest of England. Intervention  The English health inequalities strategy-a cross government strategy implemented between 1997 and 2010 to reduce health inequalities in England. Trends in geographical health inequalities were assessed before (1983-2003), during (2004-12), and after (2013-15) the strategy using segmented linear regression. Main outcome measure  Geographical health inequalities measured as the relative and absolute differences in male and female life expectancy at birth between the most deprived local authorities in England and the rest of the country. Results  Before the strategy the gap in male and female life expectancy between the most deprived local authorities in England and the rest of the country increased at a rate of 0.57 months each year (95% confidence interval 0.40 to 0.74 months) and 0.30 months each year (0.12 to 0.48 months). During the strategy period this trend reversed and the gap in life expectancy for men reduced by 0.91 months each year (0.54 to 1.27 months) and for women by 0.50 months each year (0.15 to 0.86 months). Since the end of the strategy period the inequality gap has increased again at a rate of 0.68 months each year (-0.20 to 1.56 months) for men and 0.31 months each year (-0.26 to 0.88) for women. By 2012 the gap in male life expectancy was 1.2 years smaller (95% confidence interval 0.8 to 1.5 years smaller) and the gap in female life expectancy was 0.6 years smaller (0.3 to 1.0 years smaller) than it would have been if the trends in inequalities before the strategy had continued. Conclusion  The English health inequalities strategy was associated with a decline in geographical inequalities

  14. The intergenerational Inequality of Health in China

    DEFF Research Database (Denmark)

    Eriksson, Tor; Pan, Jay; Qin, Xuezheng

    2014-01-01

    This paper estimates the intergenerational health transmission in China using the 1991–2009 China Health and Nutrition Survey (CHNS) data. Three decades of persistent economic growth in China has been accompanied by high income inequality, which may in turn be caused by the inequality...... of opportunity in education and health. In this paper, we find that there is a strong correlation of health status between parent and their offspring in both the urban and rural sectors, suggesting the existence of intergenerational health inequality in China. The correlation is robust to various model....... The Blinder–Oaxaca decomposition further indicates that 15% to 27% of the rural–urban inequality of child health is attributable to the endowed inequality from their parents' health. An important policy implication of our study is that the increasing inequality of income and opportunity in China can...

  15. Inequalities in health: approaches by health authorities in an English health region.

    Science.gov (United States)

    McCarron, P; Yates, B

    2000-06-01

    In 1995 the Department of Health published Variations in health: what can the Department of Health do? This recommended that health authorities should have a comprehensive plan for identifying and tackling variations in health. We investigated how health authorities in the South and West Region were taking forward this work. Semi-structured interviews and reviews of documentation were conducted in all health authorities in the South and West Region of England. All health authorities viewed tackling inequalities in health as important; however, explicit strategies did not exist and Health of the Nation targets were a vehicle for determining priorities of inequalities. Explicit corporate commitment was often weak. Analyses were being conducted to determine the magnitude of local health inequalities and to assist in designing appropriate interventions. The importance of alliance working was highlighted; much work was being done although success was variable. Efforts are being made throughout the South and West region to tackle inequalities in health. Although strategic vision at the corporate level was often lacking, there was evidence of commitment to taking the inequalities agenda forward within public health directorates. Strengthening of primary care and alliance working roles is essential. Recent national strategy documents, forthcoming legislation, and a review of health inequalities recognize the health effects of inequalities and require health authorities to collaborate with local partners to tackle these, and will offer opportunities to improve corporate commitment and alliance working. Uptake and success of these opportunities will have a major influence on progress in tackling health inequalities.

  16. Occupational class inequalities in health across employment sectors: the contribution of working conditions.

    Science.gov (United States)

    Lahelma, Eero; Laaksonen, Mikko; Aittomäki, Akseli

    2009-01-01

    While health inequalities among employees are well documented, their variation and determinants among employee subpopulations are poorly understood. We examined variations in occupational class inequalities in health within four employment sectors and the contribution of working conditions to these inequalities. Cross-sectional data from the Helsinki Health Study in 2000-2002 were used. Each year, employees of the City of Helsinki, aged 40-60 years, received a mailed questionnaire (n = 8,960, 80% women, overall response rate for 3 years 67%). The outcome was physical health functioning measured by the overall physical component summary of SF-36. The socioeconomic indicator was occupational social class. Employment sectors studied were health care, education, social welfare and administration (n = 6,557). Physical and mental workload, and job demands and job control were explanatory factors. Inequality indices from logistic regression analysis were calculated. Occupational class inequalities in physical health functioning were slightly larger in education (1.47) than in the other sectors (1.43-1.40). Physical workload explained 95% of inequalities in social welfare and 32-36% in the other sectors. Job control also partly explained health inequalities. However, adjusting for mental workload and job demands resulted in larger health inequalities. Inequalities in physical health functioning were found within each employment sector, with minor variation in their magnitude. Physical workload was the main explanation for these inequalities, but its contribution varied between the sectors. In contrast, considering psychosocial working conditions led to wider inequalities. Improving physical working conditions among the lower occupational classes would help reduce health inequalities within different employment sectors.

  17. Measuring health inequalities over time

    Directory of Open Access Journals (Sweden)

    Gustavo Bergonzoli

    2007-11-01

    Full Text Available Background: several methodologies have been used to measure health inequalities. Most of them do so in a cross- sectional fashion, causing significant loss of information. None of them measure health inequalities in social territories over time. Methods: this article presents two approaches measure health inequalities: one approach consists of a refinement of cross-sectional study, by using the analysis of ANOVA variance (ANOVA procedure to explore whether the gap between social territories is real or due to chance. Several adjustments were made to limit errors inevitably found in multiple comparisons. Polynomial procedures were then applied to identify and evaluate any trends. The second sociales se utilizó approach measures the health gap between social territories or strata (as defined in this study over time using the Poisson regression. These approaches were applied using life expectancy and maternal mortality data from Venezuela. Results: a positive relationship between tendenterritories and life expectancy was found, with a significant cia linal trend. The relation between maternal mortality and materna y territorios sociales fue cuadrática. La medición desocial territories was quadratic. The measurement of the la brecha, gap between least developed social territory and the most, a developed territory showed a gap reduction from the first to the second decade, mainly because of an increase of territorio social maternal mortality in the more developed area, rather than a real improvement in the least developed. Conclusions: study helps to clarify the impact that public policies and interventions have in reducing the health gap. Knowledge that a health gap between social territories can decrease without showing improvement in the least developed sector , is an important finding for monitoring and evaluating health interventions for improving living and health conditions in the population.

  18. Incorporating concepts of inequality and inequity into health benefits analysis

    Directory of Open Access Journals (Sweden)

    Tuchmann Jessica L

    2006-03-01

    Full Text Available Abstract Background Although environmental policy decisions are often based in part on both risk assessment information and environmental justice concerns, formalized approaches for addressing inequality or inequity when estimating the health benefits of pollution control have been lacking. Inequality indicators that fulfill basic axioms and agree with relevant definitions and concepts in health benefits analysis and environmental justice analysis can allow for quantitative examination of efficiency-equality tradeoffs in pollution control policies. Methods To develop appropriate inequality indicators for health benefits analysis, we provide relevant definitions from the fields of risk assessment and environmental justice and consider the implications. We evaluate axioms proposed in past studies of inequality indicators and develop additional axioms relevant to this context. We survey the literature on previous applications of inequality indicators and evaluate five candidate indicators in reference to our proposed axioms. We present an illustrative pollution control example to determine whether our selected indicators provide interpretable information. Results and Conclusions We conclude that an inequality indicator for health benefits analysis should not decrease when risk is transferred from a low-risk to high-risk person, and that it should decrease when risk is transferred from a high-risk to low-risk person (Pigou-Dalton transfer principle, and that it should be able to have total inequality divided into its constituent parts (subgroup decomposability. We additionally propose that an ideal indicator should avoid value judgments about the relative importance of transfers at different percentiles of the risk distribution, incorporate health risk with evidence about differential susceptibility, include baseline distributions of risk, use appropriate geographic resolution and scope, and consider multiple competing policy alternatives. Given

  19. Impact of pay for performance on inequalities in health care: systematic review.

    Science.gov (United States)

    Alshamsan, Riyadh; Majeed, Azeem; Ashworth, Mark; Car, Josip; Millett, Christopher

    2010-07-01

    To assess the impact of pay for performance programmes on inequalities in the quality of health care in relation to age, sex, ethnicity and socioeconomic status. Systematic search and appraisal of experimental or observational studies that assessed quantitatively the impact of a monetary incentive on health care inequalities. We searched published articles in English identified in the MEDLINE, EMBASE, PsycINFO and Cochrane databases. Twenty-two studies were identified, 20 of which were conducted in the United Kingdom and examined the impact of the Quality and Outcomes Framework. Sixteen studies used practice level data rather than patient level data. Socioeconomic status was the most frequently examined inequality; age, sex and ethnic inequalities were less frequently assessed. There was some weak evidence that the use of financial incentives reduced inequalities in chronic disease management between socioeconomic groups. Inequalities in chronic disease management between age, sex and ethnic groups persisted after the use of such incentives. Inequalities in chronic disease management have largely persisted after the introduction of the Quality and Outcome Framework. Pay for performance programmes should be designed to reduce inequalities as well as improve the overall quality of care.

  20. The value of education in special care dentistry as a means of reducing inequalities in oral health.

    LENUS (Irish Health Repository)

    Faulks, D

    2012-11-01

    People with disability are subject to inequality in oral health both in terms of prevalence of disease and unmet healthcare needs. Over 18% of the global population is living with moderate to severe functional problems related to disability, and a large proportion of these persons will require Special Care Dentistry at some point in their lifetime. It is estimated that 90% of people requiring Special Care Dentistry should be able to access treatment in a local, primary care setting. Provision of such primary care is only possible through the education and training of dentists. The literature suggests that it is vital for the dental team to develop the necessary skills and gain experience treating people with special needs in order to ensure access to the provision of oral health care. Education in Special Care Dentistry worldwide might be improved by the development of a recognised academic and clinical discipline and by providing international curricula guidelines based on the International Classification of Functioning, Disability and Health (ICF, WHO). This article aims to discuss the role and value of promoting and harmonising education in Special Care Dentistry as a means of reducing inequalities in oral health.

  1. Fighting status inequalities

    DEFF Research Database (Denmark)

    Nielsen, Morten Ebbe Juul; Landes, Xavier

    2016-01-01

    Status inequalities seem to play a fairly big role in creating inequalities in health. This article assumes that there can be good reasons to fight status inequalities in order to reduce inequalities in health. It examines whether the neorepublican ideal of non-dominance does a better job as a th...

  2. [Intelligence and the explanation for socio-economic inequalities in health].

    Science.gov (United States)

    Huisman, M; Mackenbach, J P

    2007-05-12

    Attention is increasingly being paid to the role of cognitive ability to explain socio-economic inequalities in health. The universal socio-economic gradient in health, where each rung lower on the socio-economic ladder implies worse health, has still not been satisfactorily explained scientifically. Because cognitive ability is related to a multitude of social outcomes in a similarly graded manner, hypothesising that cognitive ability plays a major role in health inequalities by socio-economic status is appealing. Recent empirical studies have shown that at least part of socio-economic health inequalities can indeed be explained by differences in cognitive ability. However, this does not imply that we should be pessimistic about future attempts to break the chain that links socio-economic status and cognitive ability with health. During some life stages, environmental factors may be able to influence cognitive ability. Interventions may therefore be targeted in order to optimize these effects. In addition, there is evidence that cognitive ability is correlated with health-related behaviours such as smoking, excessive alcohol consumption and obesity. Therefore, another opportunity for reducing health inequalities related to cognitive ability and socio-economic status would be to develop tailored interventions to improve health-related behaviours in disadvantaged groups. However, the first priority is to further investigate the role of cognitive ability in health inequalities by examining various health outcomes, different age groups and variations across the life course.

  3. National health inequality monitoring: current challenges and opportunities.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Bergen, Nicole; Schlotheuber, Anne; Boerma, Ties

    National health inequality monitoring needs considerably more investment to realize equity-oriented health improvements in countries, including advancement towards the Sustainable Development Goals. Following an overview of national health inequality monitoring and the associated resource requirements, we highlight challenges that countries may encounter when setting up, expanding or strengthening national health inequality monitoring systems, and discuss opportunities and key initiatives that aim to address these challenges. We provide specific proposals on what is needed to ensure that national health inequality monitoring systems are harnessed to guide the reduction of health inequalities.

  4. Inequalities in health

    DEFF Research Database (Denmark)

    Blank, N; Diderichsen, Finn

    1996-01-01

    would have been expected on the assumption of additivity of the singular effects of these variables. It is suggested that it is necessary to highlight in further research the complex interactions and pathways between factors associated with health outcomes to improve our understanding of the causal...... of the study is to analyse the interaction between socio-economic and personal circumstances in explaining inequalities in health. It is based on a theoretical framework which presupposes that inequalities in health are likely to be explained by a complicated process involving a multitude of factors....... At the same time, differential exposures and differential responses to risk factors between socio-economic classes for certain health outcomes are determined. The joint effect on general health status, seven years later, of being a manual worker and having reported psychosomatic symptoms is 113% greater than...

  5. Inequality in Health

    DEFF Research Database (Denmark)

    Dybbroe, Betina; Kappel, Nanna

    The overall purpose of the research we want to present, is to discuss how social inequality in health can both be maintained and strengthened- and changed through the health system and health efforts. Our contribution provides a view of a special point of intersection in which the health system...

  6. Inequities in maternal and child health outcomes and interventions in Ghana

    Directory of Open Access Journals (Sweden)

    Zere Eyob

    2012-03-01

    Full Text Available Abstract Background With the date for achieving the targets of the Millennium Development Goals (MDGs approaching fast, there is a heightened concern about equity, as inequities hamper progress towards the MDGs. Equity-focused approaches have the potential to accelerate the progress towards achieving the health-related MDGs faster than the current pace in a more cost-effective and sustainable manner. Ghana's rate of progress towards MDGs 4 and 5 related to reducing child and maternal mortality respectively is less than what is required to achieve the targets. The objective of this paper is to examine the equity dimension of child and maternal health outcomes and interventions using Ghana as a case study. Methods Data from Ghana Demographic and Health Survey 2008 report is analyzed for inequities in selected maternal and child health outcomes and interventions using population-weighted, regression-based measures: slope index of inequality and relative index of inequality. Results No statistically significant inequities are observed in infant and under-five mortality, perinatal mortality, wasting and acute respiratory infection in children. However, stunting, underweight in under-five children, anaemia in children and women, childhood diarrhoea and underweight in women (BMI Conclusion Significant Inequities are observed in many of the selected child and maternal health outcomes and interventions. Failure to address these inequities vigorously is likely to lead to non-achievement of the MDG targets related to improving child and maternal health (MDGs 4 and 5. The government should therefore give due attention to tackling inequities in health outcomes and use of interventions by implementing equity-enhancing measure both within and outside the health sector in line with the principles of Primary Health Care and the recommendations of the WHO Commission on Social Determinants of Health.

  7. Inequalities in health: definitions, concepts, and theories

    Directory of Open Access Journals (Sweden)

    Mariana C. Arcaya

    2015-06-01

    Full Text Available Individuals from different backgrounds, social groups, and countries enjoy different levels of health. This article defines and distinguishes between unavoidable health inequalities and unjust and preventable health inequities. We describe the dimensions along which health inequalities are commonly examined, including across the global population, between countries or states, and within geographies, by socially relevant groupings such as race/ethnicity, gender, education, caste, income, occupation, and more. Different theories attempt to explain group-level differences in health, including psychosocial, material deprivation, health behavior, environmental, and selection explanations. Concepts of relative versus absolute; dose–response versus threshold; composition versus context; place versus space; the life course perspective on health; causal pathways to health; conditional health effects; and group-level versus individual differences are vital in understanding health inequalities. We close by reflecting on what conditions make health inequalities unjust, and to consider the merits of policies that prioritize the elimination of health disparities versus those that focus on raising the overall standard of health in a population.

  8. Migrant integration policies and health inequalities in Europe.

    Science.gov (United States)

    Giannoni, Margherita; Franzini, Luisa; Masiero, Giuliano

    2016-06-01

    Research on socio-economic determinants of migrant health inequalities has produced a large body of evidence. There is lack of evidence on the influence of structural factors on lives of fragile groups, frequently exposed to health inequalities. The role of poor socio-economic status and country level structural factors, such as migrant integration policies, in explaining migrant health inequalities is unclear. The objective of this paper is to examine the role of migrant socio-economic status and the impact of migrant integration policies on health inequalities during the recent economic crisis in Europe. Using the 2012 wave of Eurostat EU-SILC data for a set of 23 European countries, we estimate multilevel mixed-effects ordered logit models for self-assessed poor health (SAH) and self-reported limiting long-standing illnesses (LLS), and multilevel mixed-effects logit models for self-reported chronic illness (SC). We estimate two-level models with individuals nested within countries, allowing for both individual socio-economic determinants of health and country-level characteristics (healthy life years expectancy, proportion of health care expenditure over the GDP, and problems in migrant integration policies, derived from the Migrant Integration Policy Index (MIPEX). Being a non-European citizen or born outside Europe does not increase the odds of reporting poor health conditions, in accordance with the "healthy migrant effect". However, the country context in terms of problems in migrant integration policies influences negatively all of the three measures of health (self-reported health status, limiting long-standing illnesses, and self-reported chronic illness) in foreign people living in European countries, and partially offsets the "healthy migrant effect". Policies for migrant integration can reduce migrant health disparities.

  9. Inequality, wealth and health : Is decreasing income inequality the key to create healthier societies?

    NARCIS (Netherlands)

    Pop, I.A.; van Ingen, E.J.; van Oorschot, W.J.H.

    2013-01-01

    The idea that the level of stratification of societies contributes to the well-being of their members is gaining popularity. We contribute to this debate by investigating whether reducing inequalities in the income distribution of societies is a strategy for improving population health, especially

  10. Risk factors for not completing health interventions and the potential impact on health inequalities between educational groups

    DEFF Research Database (Denmark)

    Kure-Biegel, Nanna; Schnohr, Christina Warrer; Hindhede, Anette Lykke

    2016-01-01

    BACKGROUND: Individual-based interventions aim to improve patient self-management of chronic disease and to improve lifestyle among people at high risk, to reduce the prevalence of diseases contributing to health inequality. The present study investigates risk factors for uncompleted health...... interventions, via a combination of quantitative and qualitative methods. METHODS: From a health centre in Copenhagen, questionnaire data on educational level, gender, age, and cohabitation status from 104 participants in health interventions were used to examine risks for dropout. Qualitative telephone...... with low socioeconomic status will most likely have reduced opportunities for making healthy choices, in this case, completing the intervention, and this may increase health inequality....

  11. The less healthy urban population: income-related health inequality in China

    Science.gov (United States)

    2012-01-01

    Background Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. Methods This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH) and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS) 2006 are used. Results The study finds that the poor are less likely to report their health status as “excellent or good” and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. Conclusion The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality. PMID:22989200

  12. The less healthy urban population: income-related health inequality in China.

    Science.gov (United States)

    Yang, Wei; Kanavos, Panos

    2012-09-18

    Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH) and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS) 2006 are used. The study finds that the poor are less likely to report their health status as "excellent or good" and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality.

  13. The less healthy urban population: income-related health inequality in China

    Directory of Open Access Journals (Sweden)

    Yang Wei

    2012-09-01

    Full Text Available Abstract Background Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. Methods This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS 2006 are used. Results The study finds that the poor are less likely to report their health status as “excellent or good” and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. Conclusion The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality.

  14. On Effective Graphic Communication of Health Inequality: Considerations for Health Policy Researchers.

    Science.gov (United States)

    Asada, Yukiko; Abel, Hannah; Skedgel, Chris; Warner, Grace

    2017-12-01

    Policy Points: Effective graphs can be a powerful tool in communicating health inequality. The choice of graphs is often based on preferences and familiarity rather than science. According to the literature on graph perception, effective graphs allow human brains to decode visual cues easily. Dot charts are easier to decode than bar charts, and thus they are more effective. Dot charts are a flexible and versatile way to display information about health inequality. Consistent with the health risk communication literature, the captions accompanying health inequality graphs should provide a numerical, explicitly calculated description of health inequality, expressed in absolute and relative terms, from carefully thought-out perspectives. Graphs are an essential tool for communicating health inequality, a key health policy concern. The choice of graphs is often driven by personal preferences and familiarity. Our article is aimed at health policy researchers developing health inequality graphs for policy and scientific audiences and seeks to (1) raise awareness of the effective use of graphs in communicating health inequality; (2) advocate for a particular type of graph (ie, dot charts) to depict health inequality; and (3) suggest key considerations for the captions accompanying health inequality graphs. Using composite review methods, we selected the prevailing recommendations for improving graphs in scientific reporting. To find the origins of these recommendations, we reviewed the literature on graph perception and then applied what we learned to the context of health inequality. In addition, drawing from the numeracy literature in health risk communication, we examined numeric and verbal formats to explain health inequality graphs. Many disciplines offer commonsense recommendations for visually presenting quantitative data. The literature on graph perception, which defines effective graphs as those allowing the easy decoding of visual cues in human brains, shows

  15. Promoting health equity: WHO health inequality monitoring at global and national levels

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Bergen, Nicole; Schlotheuber, Anne

    2015-01-01

    Background Health equity is a priority in the post-2015 sustainable development agenda and other major health initiatives. The World Health Organization (WHO) has a history of promoting actions to achieve equity in health, including efforts to encourage the practice of health inequality monitoring. Health inequality monitoring systems use disaggregated data to identify disadvantaged subgroups within populations and inform equity-oriented health policies, programs, and practices. Objective This paper provides an overview of a number of recent and current WHO initiatives related to health inequality monitoring at the global and/or national level. Design We outline the scope, content, and intended uses/application of the following: Health Equity Monitor database and theme page; State of inequality: reproductive, maternal, newborn, and child health report; Handbook on health inequality monitoring: with a focus on low- and middle-income countries; Health inequality monitoring eLearning module; Monitoring health inequality: an essential step for achieving health equity advocacy booklet and accompanying video series; and capacity building workshops conducted in WHO Member States and Regions. Conclusions The paper concludes by considering how the work of the WHO can be expanded upon to promote the establishment of sustainable and robust inequality monitoring systems across a variety of health topics among Member States and at the global level. PMID:26387506

  16. Promoting health equity: WHO health inequality monitoring at global and national levels.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Bergen, Nicole; Schlotheuber, Anne

    2015-01-01

    Health equity is a priority in the post-2015 sustainable development agenda and other major health initiatives. The World Health Organization (WHO) has a history of promoting actions to achieve equity in health, including efforts to encourage the practice of health inequality monitoring. Health inequality monitoring systems use disaggregated data to identify disadvantaged subgroups within populations and inform equity-oriented health policies, programs, and practices. This paper provides an overview of a number of recent and current WHO initiatives related to health inequality monitoring at the global and/or national level. We outline the scope, content, and intended uses/application of the following: Health Equity Monitor database and theme page; State of inequality: reproductive, maternal, newborn, and child health report; Handbook on health inequality monitoring: with a focus on low- and middle-income countries; Health inequality monitoring eLearning module; Monitoring health inequality: an essential step for achieving health equity advocacy booklet and accompanying video series; and capacity building workshops conducted in WHO Member States and Regions. The paper concludes by considering how the work of the WHO can be expanded upon to promote the establishment of sustainable and robust inequality monitoring systems across a variety of health topics among Member States and at the global level.

  17. Promoting health equity: WHO health inequality monitoring at global and national levels

    Directory of Open Access Journals (Sweden)

    Ahmad Reza Hosseinpoor

    2015-09-01

    Full Text Available Background: Health equity is a priority in the post-2015 sustainable development agenda and other major health initiatives. The World Health Organization (WHO has a history of promoting actions to achieve equity in health, including efforts to encourage the practice of health inequality monitoring. Health inequality monitoring systems use disaggregated data to identify disadvantaged subgroups within populations and inform equity-oriented health policies, programs, and practices. Objective: This paper provides an overview of a number of recent and current WHO initiatives related to health inequality monitoring at the global and/or national level. Design: We outline the scope, content, and intended uses/application of the following: Health Equity Monitor database and theme page; State of inequality: reproductive, maternal, newborn, and child health report; Handbook on health inequality monitoring: with a focus on low- and middle-income countries; Health inequality monitoring eLearning module; Monitoring health inequality: an essential step for achieving health equity advocacy booklet and accompanying video series; and capacity building workshops conducted in WHO Member States and Regions. Conclusions: The paper concludes by considering how the work of the WHO can be expanded upon to promote the establishment of sustainable and robust inequality monitoring systems across a variety of health topics among Member States and at the global level.

  18. Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India.

    Directory of Open Access Journals (Sweden)

    Madhu Gupta

    Full Text Available The implemented multiple-strategy community intervention National Rural Health Mission (NRHM between 2005 and 2012 aimed to reduce maternal and child health (MCH inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India.Data of district-level household surveys (DLHS held before (2002-04, during (2007-08, and after (2012-13 the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012.There were significant improvements in all MCH indicators (p<0.05. The geographical and socioeconomic differences between urban and rural areas, and between rich and poor were significantly (p<0.05 reduced for pregnant women who had an institutional delivery (geographical difference declining from 22% to 7.6%; socioeconomic from 48.2% to 13%, post-natal care within 2 weeks of delivery (2.8% to 1.5%; 30.3% to 7%; and for children with full vaccination (10% to 3.5%, 48.3% to 14% and who received oral rehydration solution (ORS for diarrhea (11% to -2.2%; 41% to 5%. Inequalities between male and female children were significantly (p<0.05 reversed for full immunization (5.7% to -0.6% and BCG immunization (1.9 to -0.9 points, and a significant (p<0.05 decrease was observed for oral polio vaccine (4.0% to 0% and measles vaccine (4.2% to 0.1%.The implemented multiple-strategy community intervention National Rural Health Mission (NRHM between 2005 and 2012 might have resulted in significant reductions in geographical, socioeconomic and gender

  19. Health Inequality and Careers

    Science.gov (United States)

    Robertson, Peter J.

    2014-01-01

    Structural explanations of career choice and development are well established. Socioeconomic inequality represents a powerful factor shaping career trajectories and economic outcomes achieved by individuals. However, a robust and growing body of evidence demonstrates a strong link between socioeconomic inequality and health outcomes. Work is a key…

  20. New Approaches for Moving Upstream: How State and Local Health Departments Can Transform Practice to Reduce Health Inequalities

    Science.gov (United States)

    Freudenberg, Nicholas; Franzosa, Emily; Chisholm, Janice; Libman, Kimberly

    2015-01-01

    Growing evidence shows that unequal distribution of wealth and power across race, class, and gender produces the differences in living conditions that are "upstream" drivers of health inequalities. Health educators and other public health professionals, however, still develop interventions that focus mainly on "downstream"…

  1. The role of preschool in reducing inequality

    OpenAIRE

    Waldfogel, Jane

    2015-01-01

    Children from disadvantaged families have lower levels of school readiness when they enter school than do children from more advantaged families. Many countries have tried to reduce this inequality through publicly provided preschool. Evidence on the potential of these programs to reduce inequality in child development is now quite strong. Long-term studies of large publicly funded programs in Europe and Latin America, and newer studies on state and local prekindergarten programs implemented ...

  2. Impact of maternal and neonatal health initiatives on inequity in maternal health care utilization in Bangladesh.

    Science.gov (United States)

    Haider, Mohammad Rifat; Rahman, Mohammad Masudur; Moinuddin, Md; Rahman, Ahmed Ehsanur; Ahmed, Shakil; Khan, M Mahmud

    2017-01-01

    Despite remarkable progress in maternal and child health, inequity persists in maternal care utilization in Bangladesh. Government of Bangladesh (GOB) with technical assistance from United Nation Population Fund (UNFPA), United Nation Children's Fund (UNICEF) and World Health Organization (WHO) started implementing Maternal and Neonatal Health Initiatives in selected districts of Bangladesh (MNHIB) in 2007 with an aim to reduce inequity in healthcare utilization. This study examines the effect of MNHIB on inequity in maternal care utilization. Two surveys were carried out in four districts in Bangladesh- baseline in 2008 and end-line in 2013. The baseline survey collected data from 13,206 women giving birth in the preceding year and in end-line 7,177 women were interviewed. Inequity in maternal healthcare utilization was calculated pre and post-MNHIB using rich-to-poor ratio and concentration index. Mean age of respondents were 23.9 and 24.6 years in 2008 and 2013 respectively. Utilization of pregnancy-related care increased for all socioeconomic strata between these two surveys. The concentration indices (CI) for various maternal health service utilization in 2013 were found to be lower than the indices in 2008. However, in comparison to contemporary BDHS data in nearby districts, MNHIB was successful in reducing inequity in receiving ANC from a trained provider (CI: 0.337 and 0.272), institutional delivery (CI: 0.435 in 2008 to 0.362 in 2013), and delivery by skilled personnel (CI: 0.396 and 0.370). Overall use of maternal health care services increased in post-MNHIB year compared to pre-MNHIB year and inequity in maternal service utilization declined for three indicators out of six considered in the paper. The reductions in CI values for select maternal care indicators imply that the program has been successful not only in improving utilization of maternal health services but also in lowering inequality of service utilization across socioeconomic groups

  3. Democracy and growth in divided societies: A health-inequality trap?

    Science.gov (United States)

    Powell-Jackson, Timothy; Basu, Sanjay; Balabanova, Dina; McKee, Martin; Stuckler, David

    2011-07-01

    Despite a tremendous increase in financial resources, many countries are not on track to achieve the child and maternal mortality targets set out in the Millennium Development Goals 4 and 5. It is commonly argued that two main social factors - improved democratic governance and aggregate income - will ultimately lead to progress in reducing child and maternal mortality. However, these two factors alone may be insufficient to achieve progress in settings where there is a high level of social division. To test the effects of growth and democratisation, and their interaction with social inequalities, we regressed data on child and maternal mortality rates for 192 countries against internationally used indexes of income, democracy, and population inequality (including income, ethnic, linguistic, and religious divisions) covering the period 1970-2007. We found that a higher degree of social division, especially ethnic and linguistic fractionalisation, was significantly associated with greater child and maternal mortality rates. We further found that, even in democratic states, greater social division was associated with lower overall population access to healthcare and lesser expansion of health system infrastructure. Perversely, while greater democratisation and aggregate income were associated with reduced maternal and child mortality overall, in regions with high levels of ethnic fragmentation the health benefits of democratisation and rising income were undermined and, at high levels of inequality reversed, so that democracy and growth were adversely related to child and maternal mortality. These findings are consistent with literature suggesting that high degrees of social division in the context of democratisation can strengthen the power of dominant elite and ethnic groups in political decision-making, resulting in health and welfare policies that deprive minority groups (a health-inequality trap). Thus, we show that improving economic growth and democratic

  4. Consideration of health inequalities in systematic reviews: a mapping review of guidance.

    Science.gov (United States)

    Maden, Michelle

    2016-11-28

    Given that we know that interventions shown to be effective in improving the health of a population may actually widen the health inequalities gap while others reduce it, it is imperative that all systematic reviewers consider how the findings of their reviews may impact (reduce or increase) on the health inequality gap. This study reviewed existing guidance on incorporating considerations of health inequalities in systematic reviews in order to examine the extent to which they can help reviewers to incorporate such issues. A mapping review was undertaken to identify guidance documents that purported to inform reviewers on whether and how to incorporate considerations of health inequalities. Searches were undertaken in Medline, CINAHL and The Cochrane Library Methodology Register. Review guidance manuals prepared by international organisations engaged in undertaking systematic reviews, and their associated websites were scanned. Studies were included if they provided an overview or discussed the development and testing of guidance for dealing with the incorporation of considerations of health inequalities in evidence synthesis. Results are summarised in narrative and tabular forms. Twenty guidance documents published between 2009 and 2016 were included. Guidance has been produced to inform considerations of health inequalities at different stages of the systematic review process. The Campbell and Cochrane Equity Group have been instrumental in developing and promoting such guidance. Definitions of health inequalities and guidance differed across the included studies. All but one guidance document were transparent in their method of production. Formal methods of evaluation were reported for six guidance documents. Most of the guidance was operationalised in the form of examples taken from published systematic reviews. The number of guidance items to operationalise ranges from 3 up to 26 with a considerable overlap noted. Adhering to the guidance will require more

  5. Blue-collar workplaces: a setting for reducing heart health inequalities in New Zealand?

    Science.gov (United States)

    Novak, Brad; Bullen, Chris; Howden-Chapman, Philippa; Thornley, Simon

    2007-09-07

    To review the evidence for the effectiveness of workplaces as settings for cardiovascular health promotion and reduction of heart health inequalities in New Zealand. Literature review and structured appraisal of 154 articles meeting inclusion criteria, of which one review and three trials addressed cardiovascular interventions specifically, and four systematic reviews addressed the effectiveness of workplace health promotion programmes generally. The reviewed studies showed that workplaces have good potential as settings for health promotion. We found mixed but largely supportive evidence that workplace interventions can lead to improvements in health outcomes, workplace environments, lifestyles, and productivity. Workplace programmes that ranked highest in both clinical and cost-effectiveness targeted industries employing large numbers of blue-collar workers, tackled multiple risk factors, intervened at both individual and environmental levels and incorporated occupational safety components. Such programmes appear to offer a substantial return on investment for employers in other countries, but local evidence is lacking. Employers and workers in blue-collar industries should be encouraged to participate in comprehensive heart health promotion programmes as a strategy for reducing existing socioeconomic and ethnic disparities in health. However, high-quality evidence of improved employee health and productivity is needed from well-designed New Zealand-based research to ensure that these programmes are optimally configured for effectiveness and attractive to employers and employees alike.

  6. Health care inequities in north India: role of public sector in universalizing health care.

    Science.gov (United States)

    Prinja, Shankar; Kanavos, Panos; Kumar, Rajesh

    2012-09-01

    Income inequality is associated with poor health. Inequities exist in service utilization and financing for health care. Health care costs push high number of households into poverty in India. We undertook this study to ascertain inequities in health status, service utilization and out-of-pocket (OOP) health expenditures in two States in north India namely, Haryana and Punjab, and Union Territory of Chandigarh. Data from National Sample Survey 60 th Round on Morbidity and Health Care were analyzed by mean consumption expenditure quintiles. Indicators were devised to document inequities in the dimensions of horizontal and vertical inequity; and redistribution of public subsidy. Concentration index (CI), and equity ratio in conjunction with concentration curve were computed to measure inequity. Reporting of morbidity and hospitalization rate had a pro-rich distribution in all three States indicating poor utilization of health services by low income households. Nearly 57 and 60 per cent households from poorest income quintile in Haryana and Punjab, respectively faced catastrophic OOP hospitalization expenditure at 10 per cent threshold. Lower prevalence of catastrophic expenditure was recorded in higher income groups. Public sector also incurred high costs for hospitalization in selected three States. Medicines constituted 19 to 47 per cent of hospitalization expenditure and 59 to 86 per cent OPD expenditure borne OOP by households in public sector. Public sector hospitalizations had a pro-poor distribution in Haryana, Punjab and Chandigarh. Our analysis indicates that public sector health service utilization needs to be improved. OOP health care expenditures at public sector institutions should to be curtailed to improve utilization of poorer segments of population. Greater availability of medicines in public sector and regulation of their prices provide a unique opportunity to reduce public sector OOP expenditure.

  7. Policies to tackle health inequalities in Norway: from laggard to pioneer?

    Science.gov (United States)

    Dahl, Espen; Lie, Marit

    2009-01-01

    This study addresses recent public health policies in Norway, asking how policies on health inequalities have developed over the past 20 years. The authors focus on how the problem has been defined, what goals have been set, and what means have been put forward to achieve them. The data consist of official documents and interviews of key actors in research and the health bureaucracy. The results indicate that the theme of health inequalities has developed from a non-topic to a high-priority topic in Norway's public health policy. This change has been accompanied by formulation of clear goals and an overarching and long-term strategy, including concrete means to reduce health inequalities. Over the past five years, the problem definition has changed from one of individualization with a focus on health behaviors to a structural understanding that emphasizes the problem of the gradient and social determinants of health. Norway is on the move from a state of political indifference toward action in developing comprehensive, coordinating policy.

  8. Absolute and Relative Socioeconomic Health Inequalities across Age Groups.

    Science.gov (United States)

    van Zon, Sander K R; Bültmann, Ute; Mendes de Leon, Carlos F; Reijneveld, Sijmen A

    2015-01-01

    The magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of socioeconomic position, the health outcome, gender, and as to whether socioeconomic health inequalities are measured in absolute or in relative terms. The aim is to investigate whether absolute and relative socioeconomic health inequalities differ across age groups by indicator of socioeconomic position, health outcome and gender. The study sample was derived from the baseline measurement of the LifeLines Cohort Study and consisted of 95,432 participants. Socioeconomic position was measured as educational level and household income. Physical and mental health were measured with the RAND-36. Age concerned eleven 5-years age groups. Absolute inequalities were examined by comparing means. Relative inequalities were examined by comparing Gini-coefficients. Analyses were performed for both health outcomes by both educational level and household income. Analyses were performed for all age groups, and stratified by gender. Absolute and relative socioeconomic health inequalities differed across age groups by indicator of socioeconomic position, health outcome, and gender. Absolute inequalities were most pronounced for mental health by household income. They were larger in younger than older age groups. Relative inequalities were most pronounced for physical health by educational level. Gini-coefficients were largest in young age groups and smallest in older age groups. Absolute and relative socioeconomic health inequalities differed cross-sectionally across age groups by indicator of socioeconomic position, health outcome and gender. Researchers should critically consider the implications of choosing a specific age group, in addition to the indicator of socioeconomic position and health outcome

  9. Inequalities in global health inequalities research: A 50-year bibliometric analysis (1966-2015)

    Science.gov (United States)

    Pericàs, Juan M.; Benach, Joan

    2018-01-01

    Background Increasing evidence shows that health inequalities exist between and within countries, and emphasis has been placed on strengthening the production and use of the global health inequalities research, so as to improve capacities to act. Yet, a comprehensive overview of this evidence base is still needed, to determine what is known about the global and historical scientific production on health inequalities to date, how is it distributed in terms of country income groups and world regions, how has it changed over time, and what international collaboration dynamics exist. Methods A comprehensive bibliometric analysis of the global scientific production on health inequalities, from 1966 to 2015, was conducted using Scopus database. The historical and global evolution of the study of health inequalities was considered, and through joinpoint regression analysis and visualisation network maps, the preceding questions were examined. Findings 159 countries (via authorship affiliation) contributed to this scientific production, three times as many countries than previously found. Scientific output on health inequalities has exponentially grown over the last five decades, with several marked shift points, and a visible country-income group affiliation gradient in the initiation and consistent publication frequency. Higher income countries, especially Anglo-Saxon and European countries, disproportionately dominate first and co-authorship, and are at the core of the global collaborative research networks, with the Global South on the periphery. However, several country anomalies exist that suggest that the causes of these research inequalities, and potential underlying dependencies, run deeper than simply differences in country income and language. Conclusions Whilst the global evidence base has expanded, Global North-South research gaps exist, persist and, in some cases, are widening. Greater understanding of the structural determinants of these research

  10. The Intergenerational Inequality of Health in China

    DEFF Research Database (Denmark)

    Eriksson, Tor; Pan, Jay; Qin, Xuezheng

    This paper estimates the intergenerational health transmission in China using the 1991-2009 China Health and Nutrition Survey (CHNS) data. Three decades of persistent economic growth in China has been accompanied by high income inequality, which may in turn be caused by the inequality...... measures and various model specifications, and is robust when unobserved household heterogeneity is removed. We also find that the parents’ (especially the mothers’) socio-economic characteristics and environmental / health care choices are strongly correlated with their own and their children’s health......, supporting the “nature-nurture interaction” hypothesis. The Blinder-Oaxaca decomposition further indicates that 15% to 27% of the rural-urban inequality of child health is attributable to the endowed inequality from their parents’ health. An important policy implication of our study is that the increasing...

  11. [Health and determinants of health in second generations of international immigrants: Social inequalities in health since childhood?

    Science.gov (United States)

    González-Rábago, Yolanda; Martín, Unai

    2017-12-11

    To analyse the social inequalities in health between children and youth population of an immigrant origin from low-income countries and those of native origin in the Basque Country. Cross-sectional descriptive study using data from the Basque Country Health Survey 2013. Variables of health, behaviours and life conditions were used as the outcome variables. Prevalence ratios were calculated using robust Poisson models. The children with immigrant parents had poorer self-rated health, a higher prevalence of obesity, spent more hours in sedentary activities and lived in households with greater economic difficulties. The differences persisted even after adjusting for social class and educational level of parents. A migrant background is a highly relevant axis of health inequalities and has an influence beyond a generation. Given this reality, it is necessary to implement effective and suitable measures to ensure life with good health conditions and to reduce social inequalities in health, not only in childhood but through the entire life cycle. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  12. What potential has tobacco control for reducing health inequalities? The New Zealand situation

    Directory of Open Access Journals (Sweden)

    Blakely Tony

    2006-11-01

    Full Text Available Abstract In this Commentary, we aim to synthesize recent epidemiological data on tobacco and health inequalities for New Zealand and present it in new ways. We also aim to describe both existing and potential tobacco control responses for addressing these inequalities. In New Zealand smoking prevalence is higher amongst Māori and Pacific peoples (compared to those of "New Zealand European" ethnicity and amongst those with low socioeconomic position (SEP. Consequently the smoking-related mortality burden is higher among these populations. Regarding the gap in mortality between low and high socioeconomic groups, 21% and 11% of this gap for men and women was estimated to be due to smoking in 1996–99. Regarding the gap in mortality between Māori and non-Māori/non-Pacific, 5% and 8% of this gap for men and women was estimated to be due to smoking. The estimates from both these studies are probably moderate underestimates due to misclassification bias of smoking status. Despite the modest relative contribution of smoking to these gaps, the absolute number of smoking-attributable deaths is sizable and amenable to policy and health sector responses. There is some evidence, from New Zealand and elsewhere, for interventions that reduce smoking by low-income populations and indigenous peoples. These include tobacco taxation, thematically appropriate mass media campaigns, and appropriate smoking cessation support services. But there are as yet untried interventions with major potential. A key one is for a tighter regulatory framework that could rapidly shift the nicotine market towards pharmaceutical-grade nicotine (or smokeless tobacco products and away from smoked tobacco.

  13. Addressing inequalities in health--what is the contribution of health trainers?

    Science.gov (United States)

    White, Judy; Woodward, Jenny; South, Jane

    2013-07-01

    The role that members of the public (non-professional lay people) can play in improving health is being increasingly recognised in research and policy. This paper explores what contribution lay people employed as health trainers are making to addressing health inequalities in England. Data from eight local evaluations of health trainer services were synthesised using a data-extraction framework to find out about client populations, any lifestyle changes made, health trainers' background and community engagement activities. These data were compared with national data to assess how findings relating to addressing inequalities compared with the national picture. Local data largely matched national data and showed that health trainers are reaching people living with disadvantage and enabling them to make lifestyle changes. The data suggest that they do this by engaging with communities and taking a person-centred approach. Being non-clinical peers is also important. However, no evidence was found that health trainers were impacting on health inequalities at a population level. Health trainers are contributing to addressing health inequalities but the services evaluated were small and had been operating for a limited time, so to expect reductions in inequalities at a population level within districts would be unrealistic. The findings of this synthesis present a challenge to primary care and public health to employ health trainers in order to engage marginalised communities as one element of plans to address health inequalities.

  14. Educational inequalities in general and mental health: differential contribution of physical activity, smoking, alcohol consumption and diet.

    Science.gov (United States)

    Kurtze, Nanna; Eikemo, Terje A; Kamphuis, Carlijn B M

    2013-04-01

    Behavioural, material and psychosocial risk factors may explain educational inequalities in general health. To what extent these risk factors have similar or different contributions to educational inequalities in mental health is unknown. Data were derived from the Norwegian Survey of Level of Living from 2005, comprising 5791 respondents aged ≥ 25 years. The study objectives were addressed by means of a series of logistic regression analyses in which we examined: (i) educational inequalities in self-reported general and mental health; (ii) the associations between behavioural, material and psychosocial risk factors and general and mental health, controlled for sex, age and education; and (iii) the contribution of risk factors to the observed health gradients. The lower educated were more likely to be in poor health [odds ratio (OR): 3.46 (95% confidence interval, CI: 2.84-4.21)] and to be in poor mental health [OR: 1.41 (95% CI: 1.12-1.78)] than the highest educated. The joint contribution of behavioural, material and psychosocial risk factors explained all the variations of mental health inequalities, whereas these were able to explain ~40% of the inequalities in general health. Both behavioural and material risk factors contributed substantially to the explanation of general and mental health inequalities, whereas the psychosocial risk factor (i.e. having close persons to communicate with) only seemed to make a larger difference for the explanation of mental health inequalities. Policies and interventions to reduce health inequalities should have a broad focus. Combined strategies should be applied to improve physical activity, decrease smoking and improve material and psychosocial conditions among lower educated groups, to achieve the true potential of reducing inequalities in both general and mental health.

  15. Obesity and inequities. Guidance for addressing inequities in overweight and obesity

    DEFF Research Database (Denmark)

    Robertson, Aileen

    ABSTRACT This policy guidance aims to support European policy-makers to improve the design, implementation and evaluation of interventions and policies to reduce inequities in overweight and obesity. The prevalence of obesity in Europe is rising in many countries, and rising fastest in low...... socioeconomic population groups. There is a strong relationship between obesity and low socioeconomic status, especially for women. Reducing health inequities is a key strategic objective of Health 2020 – the European policy framework for health and well-being endorsed by the 53 Member States of the WHO...... to reduce the unequal distribution of obesity in Europe, through approaches which address the social determinants of obesity and the related health, social and economic consequences ofthe obesity inequity gradient....

  16. [Equity in health? Health inequalities, ethics, and theories of distributive justice].

    Science.gov (United States)

    Buyx, A M

    2010-01-01

    It is well-documented that the socio-economic status has an important influence on health. In all developed countries, health is closely correlated with income, education, and type of employment, as well as with several other social determinants. While data on this socio-economic health gradient have been available for decades, the moral questions surrounding social health inequalities have only recently been addressed within the field of public health ethics. The present article offers a brief overview of relevant data on social health inequalities and on some explanatory models from epidemiology, social medicine and related disciplines. The main part explores three influential normative accounts addressing the issue of health inequalities. Finally, an agenda for future work in the field of public health ethics and health inequalities is sketched, with particular attention to the German context.

  17. Inequalities in perceived health in the Russian Federation, 1994-2012.

    Science.gov (United States)

    Paul, Pavitra; Valtonen, Hannu

    2016-02-17

    Individual characteristics and socioeconomic strata (SES) are important determinants of health differences. We examine health inequalities in Russia and estimate the association of demography (gender and age) and SES (working status, income, geography of residence, living standard, wealth possession, and durable asset-holding) with perceived health over the period 1994-2012. This study uses nationally representative datasets from the Russian Longitudinal Monitoring Survey (RLMS: 1994-2012). We apply a random effect GLS model to examine the association of individual characteristics and individual heterogeneity in explaining self-perceived health status. In addition, we estimate a regression-based concentration index, which we decompose into the determinants of health inequalities. The self-perceived health differences between the better-off and the worse-off is reduced over the 18 year period (1994 - 2012). The individual variances in self-perceived health status are higher compared to the variances between the individuals over the period. The measure of health inequality index (concentration index) indicates a change for better health for the better-off Russians. Being employed matters in perceiving a better health status for the Russians in 2012. Self-perceived health differences in the Russian Federation has changed over time. Such differences in changes are attributable to both changes in the distribution of the determinants of health as well as changes in the association between the determinants of health with the self-perceived health status. Though this study identifies the determinants of health inequalities for the Russians, the future research is to examine the in-country distribution of these determinants that produce health differences within the Russian Federation.

  18. Tackling Health Inequalities Locally

    DEFF Research Database (Denmark)

    Diderichsen, Finn; Scheele, Christian Elling; Little, Ingvild Gundersen

    of this study. It is based on three sources: 1. Interviews with policymakers (administrators and politicians) within healthcare administrations, childhood/education, and labour market administrations from September 2014 to March 2015*. 2. Textual analysis of available policy documents from regions...... of translating small inequalities in wealth into small inequalities in health. Denmark, Norway and Sweden all have legislation that indifferent ways offers local governments key roles in public health. This is partly due to local governments’ responsibility for many policy areas of great relevance to health...... state model, including its health policy, as an area of Nordic collaboration (104). However, realising the principle of health (equity) in all policiesis no simple matter. The national authorities and local government federations in Denmark, Norway and Sweden have therefore initiated various activities...

  19. Socioeconomic inequality in domains of health: results from the World Health Surveys

    Directory of Open Access Journals (Sweden)

    Hosseinpoor Ahmad

    2012-03-01

    Full Text Available Abstract Background In all countries people of lower socioeconomic status evaluate their health more poorly. Yet in reporting overall health, individuals consider multiple domains that comprise their perceived health state. Considered alone, overall measures of self-reported health mask differences in the domains of health. The aim of this study is to compare and assess socioeconomic inequalities in each of the individual health domains and in a separate measure of overall health. Methods Data on 247,037 adults aged 18 or older were analyzed from 57 countries, drawn from all national income groups, participating in the World Health Survey 2002-2004. The analysis was repeated for lower- and higher-income countries. Prevalence estimates of poor self-rated health (SRH were calculated for each domain and for overall health according to wealth quintiles and education levels. Relative socioeconomic inequalities in SRH were measured for each of the eight health domains and for overall health, according to wealth quintiles and education levels, using the relative index of inequality (RII. A RII value greater than one indicated greater prevalence of self-reported poor health among populations of lower socioeconomic status, called pro-rich inequality. Results There was a descending gradient in the prevalence of poor health, moving from the poorest wealth quintile to the richest, and moving from the lowest to the highest educated groups. Inequalities which favor groups who are advantaged either with respect to wealth or education, were consistently statistically significant in each of the individual domains of health, and in health overall. However the size of these inequalities differed between health domains. The prevalence of reporting poor health was higher in the lower-income country group. Relative socioeconomic inequalities in the health domains and overall health were higher in the higher-income country group than the lower-income country group

  20. Impact of Income Inequality on the Nation's Health.

    Science.gov (United States)

    López, Diego B; Loehrer, Andrew P; Chang, David C

    2016-10-01

    Income inequality in the United States has been increasing in recent decades. It is unclear whether income inequality has an independent effect on health outcomes, or whether it simply correlates with increasing levels of poverty. The goal of this study was to evaluate whether income inequality is significantly associated with US county health care expenditures and health care use. Cross-sectional analysis of county health expenditure data from the Health Resources and Services Administration's Area Resources File, county income inequality measures (Gini coefficient) from the Census' American Community Survey, and estimates of potentially preventable admissions and potentially discretionary procedures from the Nationwide Inpatient Sample (1998 to 2011). Datasets were linked via county Federal Information Processing Standard codes. Multivariable linear and Poisson regression analyses were performed at the county level adjusting for county characteristics. A total of 1,237 counties (of 3,144) were included. Income inequality was associated with higher health care expenditures, with each 1 percentage-point increase in county Gini coefficient associated with a US$40,008 increase in annual county Medicare cost (p = 0.003), and an increase of 174.7 total county Medicare inpatient days per year (p inequality had higher potentially preventable admission (eg 4.86 rate ratio for low-birth-weight hospital admissions in the top income inequality quartile compared with bottom quartile; p income inequality quartile compared with bottom quartile; p Income inequality is independently associated with higher health care expenditures and more health care use, with increases in both potentially discretionary procedures and in potentially preventable admissions. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

  1. Has India's national rural health mission reduced inequities in maternal health services? A pre-post repeated cross-sectional study.

    Science.gov (United States)

    Vellakkal, Sukumar; Gupta, Adyya; Khan, Zaky; Stuckler, David; Reeves, Aaron; Ebrahim, Shah; Bowling, Ann; Doyle, Pat

    2017-02-01

    In 2005, India launched the National Rural Health Mission (NRHM) to strengthen the primary healthcare system. NRHM also aims to encourage pregnant women, particularly of low socioeconomic backgrounds, to use institutional maternal healthcare. We evaluated the impacts of NRHM on socioeconomic inequities in the uptake of institutional delivery and antenatal care (ANC) across high-focus (deprived) Indian states. Data from District Level Household and Facility Surveys (DLHS) Rounds 1 (1995-99) and 2 (2000-04) from the pre-NRHM period, and Round 3 (2007-08), Round 4 and Annual Health Survey (2011-12) from post-NRHM period were used. Wealth-related and education-related relative indexes of inequality, and pre-post difference-in-differences models for wealth and education tertiles, adjusted for maternal age, rural-urban, caste, parity and state-level fixed effects, were estimated. Inequities in institutional delivery declined between pre-NRHM Period 1 (1995-99) and pre-NRHM Period 2 (2000-04), but thereafter demonstrated steeper decline in post-NRHM periods. Uptake of institutional delivery increased among all socioeconomic groups, with (1) greater effects among the lowest and middle wealth and education tertiles than highest tertile, and (2) larger equity impacts in the late post-NRHM period 2011-12 than in the early post-NRHM period 2007-08. No positive impact on the uptake of ANC was found in the early post-NRHM period 2007-08; however, there was considerable increase in the uptake of, and decline in inequity, in uptake of ANC in most states in the late post-NRHM period 2011-12. In high-focus states, NRHM resulted in increased uptake of maternal healthcare, and decline in its socioeconomic inequity. Our study suggests that public health programs in developing country settings will have larger equity impacts after its almost full implementation and widest outreach. Targeting deprived populations and designing public health programs by linking maternal and child

  2. Reduction of inequalities in health: assessing evidence-based tools

    Directory of Open Access Journals (Sweden)

    Shea Beverley

    2006-09-01

    Full Text Available Abstract Background The reduction of health inequalities is a focus of many national and international health organisations. The need for pragmatic evidence-based approaches has led to the development of a number of evidence-based equity initiatives. This paper describes a new program that focuses upon evidence- based tools, which are useful for policy initiatives that reduce inequities. Methods This paper is based on a presentation that was given at the "Regional Consultation on Policy Tools: Equity in Population Health Reports," held in Toronto, Canada in June 2002. Results Five assessment tools were presented. 1. A database of systematic reviews on the effects of educational, legal, social, and health interventions to reduce unfair inequalities is being established through the Cochrane and Campbell Collaborations. 2 Decision aids and shared decision making can be facilitated in disadvantaged groups by 'health coaches' to help people become better decision makers, negotiators, and navigators of the health system; a pilot study in Chile has provided proof of this concept. 3. The CIET Cycle: Combining adapted cluster survey techniques with qualitative methods, CIET's population based applications support evidence-based decision making at local and national levels. The CIET map generates maps directly from survey or routine institutional data, to be used as evidence-based decisions aids. Complex data can be displayed attractively, providing an important tool for studying and comparing health indicators among and between different populations. 4. The Ottawa Equity Gauge is applying the Global Equity Gauge Alliance framework to an industrialised country setting. 5 The Needs-Based Health Assessment Toolkit, established to assemble information on which clinical and health policy decisions can be based, is being expanded to ensure a focus on distribution and average health indicators. Conclusion Evidence-based planning tools have much to offer the

  3. Income inequality, trust, and population health in 33 countries.

    Science.gov (United States)

    Elgar, Frank J

    2010-11-01

    I examined the association between income inequality and population health and tested whether this association was mediated by interpersonal trust or public expenditures on health. Individual data on trust were collected from 48 641 adults in 33 countries. These data were linked to country data on income inequality, public health expenditures, healthy life expectancy, and adult mortality. Regression analyses tested for statistical mediation of the association between income inequality and population health outcomes by country differences in trust and health expenditures. Income inequality correlated with country differences in trust (r = -0.51), health expenditures (r = -0.45), life expectancy (r = -0.74), and mortality (r = 0.55). Trust correlated with life expectancy (r = 0.48) and mortality (r = -0.47) and partly mediated their relations to income inequality. Health expenditures did not correlate with life expectancy and mortality, and health expenditures did not mediate links between inequality and health. Income inequality might contribute to short life expectancy and adult mortality in part because of societal differences in trust. Societies with low levels of trust may lack the capacity to create the kind of social supports and connections that promote health and successful aging.

  4. HEALTH / GENDER STUDIES: HIV/AIDS and Health Inequalities in ...

    African Journals Online (AJOL)

    This paper focuses on the interface between the HIV/AIDS pandemic and health inequalities in Sub-Saharan Africa, with an inbuilt assumption that the health inequality situation in African nation states exacerbates, and therefore forestalls meaningful efforts towards the control of HIV/AIDS spread in sub-Saharan Africa.

  5. Wealth inequality and health: a political economy perspective.

    Science.gov (United States)

    Nowatzki, Nadine R

    2012-01-01

    Despite a plethora of studies on income inequality and health, researchers have been unable to make any firm conclusions as a result of methodological and theoretical limitations. Within this body of research, there has been a call for studies of wealth inequality and health. Wealth is far more unequally distributed than income and is conceptually unique from income. This paper discusses the results of bivariate cross-sectional analyses of the relationship between wealth inequality (Gini coefficient) and population health (life expectancy and infant mortality) in 14 wealthy countries. The results confirm that wealth inequality is associated with poor population health. Both unweighted and weighted correlations between wealth inequality and health are strong and significant, even after controlling for a variety of potential aggregate-level confounders, including gross domestic product per capita, and after excluding the United States, the most unequal country. The results are strongest for female life expectancy and infant mortality. The author outlines potential pathways through which wealth inequality might affect health, using specific countries to illustrate. The article concludes with policy recommendations that could contribute to a more equitable distribution of wealth and, ultimately, decreased health disparities.

  6. Does Microfinance Reduce Income Inequality?

    NARCIS (Netherlands)

    Hermes, Niels

    2014-01-01

    This study addresses the question whether participation of the poor in microfinance contributes to reducing a country’s level of income inequality. Using data from 70 developing countries, we show that higher levels of microfinance participation are indeed associated with a reduction of the income

  7. Carbon pollution increases health inequities: lessons in resilience from the most vulnerable

    Directory of Open Access Journals (Sweden)

    Kristie L. Ebi

    Full Text Available ABSTRACT Climate change is a social justice as well as an environmental issue. The magnitude and pattern of changes in weather and climate variables are creating differential exposures, vulnerabilities, and health risks that increase stress on health systems while exacerbating existing and creating new health inequities. Examples from national and local health adaptation projects highlight that developing partnerships across sectors and levels are critical for building climate-resilient health systems and communities. Strengthening current and implementing new health interventions, such as using environmental information to develop early warning systems, can be effective in protecting the most vulnerable. However, not all projected risks of climate change can be avoided by climate policies and programs, so health system strengthening is also critical. Applying a health inequity lens can reduce current vulnerabilities while building resilience to longer-term climate change. Taking inequities into account is critical if societies are to effectively prepare for and manage the challenges ahead.

  8. Influence of a screening navigation program on social inequalities in health beliefs about colorectal cancer screening.

    Science.gov (United States)

    Vallet, Fanny; Guillaume, Elodie; Dejardin, Olivier; Guittet, Lydia; Bouvier, Véronique; Mignon, Astrid; Berchi, Célia; Salinas, Agnès; Launoy, Guy; Christophe, Véronique

    2016-08-01

    The aim of the study was to test whether a screening navigation program leads to more favorable health beliefs and decreases social inequalities in them. The selected 261 noncompliant participants in a screening navigation versus a usual screening program arm had to respond to health belief measures inspired by the Protection Motivation Theory. Regression analyses showed that social inequalities in perceived efficacy of screening, favorable attitude, and perceived facility were reduced in the screening navigation compared to the usual screening program. These results highlight the importance of health beliefs to understand the mechanism of screening navigation programs in reducing social inequalities. © The Author(s) 2014.

  9. Socioeconomic inequality of diabetes patients' health care utilization in Denmark

    DEFF Research Database (Denmark)

    Sortsø, Camilla; Lauridsen, Jørgen; Emneus, Martha

    2017-01-01

    Understanding socioeconomic inequalities in health care is critical for achieving health equity. The aim of this paper is threefold: 1) to quantify inequality in diabetes health care service utilization; 2) to understand determinants of these inequalities in relation to socio-demographic and clin......Understanding socioeconomic inequalities in health care is critical for achieving health equity. The aim of this paper is threefold: 1) to quantify inequality in diabetes health care service utilization; 2) to understand determinants of these inequalities in relation to socio...... differences in inequality estimates. While income, alike other measures of labor market attachment, to a certain extent is explained by morbidity and thus endogenous, education is more decisive for patients' ability to take advantage of the more specialized services provided in a universal health care system....

  10. Horizontal Inequity in Elderly Health Care Utilization: Evidence from India

    Science.gov (United States)

    Rudra, Shalini; Subramanian, S V

    2015-01-01

    Against the backdrop of population aging, this paper presents the analysis of need-standardised health care utilization among elderly in India. Based on nationally representative morbidity and health care survey 2004, we demonstrate that the need for health care utilization is indeed pro-poor in nature. However, the actual health care utilization is concentrated among richer sections of the population. Further, the decomposition analysis reveals that income has a very strong role in shifting the distribution of health care away from the poor elderly. The impact of income on utilization is well-demonstrated even at the ecological-level as states with higher per capita incomes have higher elderly health care utilization even as the levels of need-predicted distribution across these states are similar. We also find that the distribution of elderly across social groups and their educational achievements favours the rich and significantly contributes to overall inequality. Nevertheless, contribution of need-related self-assessed health clearly favours pro-poor inequality. In concluding, we argue that to reduce such inequities in health care utilization it is necessary to increase public investments in health care infrastructure including geriatric care particularly in rural areas and underdeveloped regions to enhance access and quality of health care for the elderly. PMID:26617450

  11. Trends and inequities in use of maternal health care services in Bangladesh, 1991-2011.

    Directory of Open Access Journals (Sweden)

    Iqbal Anwar

    Full Text Available Monitoring use-inequity is important to measure progress in efforts to address health-inequities. Using data from six Bangladesh Demographic and Health Surveys (BDHS, we examine trends, inequities and socio-demographic determinants of use of maternal health care services in Bangladesh between 1991 and 2011.Access to maternal health care services has improved in the last two decades. The adjusted yearly trend was 9.0% (8.6%-9.5% for any antenatal care (ANC, 11.9% (11.1%-12.7% for institutional delivery, and 18.9% (17.3%-20.5% for C-section delivery which is above the WHO recommended rate of 5-15%. Use-inequity was significant for all three indicators but is reducing over time. Between 1991-1994 and 2007-2011 the rich:poor ratio reduced from 3.65 to 1.65 for ANC and from 15.80 to 6.77 for institutional delivery. Between 1995-1998 and 2007-2011, the concentration index reduced from 0.27 (0.25-0.29 to 0.15 (0.14-0.16 for ANC, and from 0.65 (0.60-0.71 to 0.39 (0.37-0.41 for institutional delivery during that period. For use of c-section, the rich:poor ratio reduced from 18.17 to 13.39 and the concentration index from 0.66 (0.57-0.75 to 0.47 (0.45-0.49. In terms of rich:poor differences, there was equity-gain for ANC but not for facility delivery or C-section delivery. All socio-demographic variables were significant predictors of use; of them, maternal education was the most powerful. In addition, the contribution of for-profit private sector is increasingly growing in maternal health.Both access and equity are improving in maternal health. We recommend strengthening ongoing health and non-health interventions for the poor. Use-inequity should be monitored using multiple indicators which are incorporated into routine health information systems. Rising C-section rate is alarming and indication of C-sections should be monitored both in private and public sector facilities.

  12. Transport policy and health inequalities: a health impact assessment of Edinburgh's transport policy.

    Science.gov (United States)

    Gorman, D; Douglas, M J; Conway, L; Noble, P; Hanlon, P

    2003-01-01

    Health impact assessment (HIA) can be used to examine the relationships between inequalities and health. This HIA of Edinburgh's transport policy demonstrates how HIA can examine how different transport policies can affect different population groupings to varying degrees. In this case, Edinburgh's economy is based on tourism, financial services and Government bodies. These need a good transport infrastructure, which maintains a vibrant city centre. A transport policy that promotes walking, cycling and public transport supports this and is also good for health. The HIA suggested that greater spend on public transport and supporting sustainable modes of transport was beneficial to health, and offered scope to reduce inequalities. This message was understood by the City Council and influenced the development of the city's transport and land-use strategies. The paper discusses how HIA can influence public policy.

  13. Propuesta de políticas e intervenciones para reducir las desigualdades sociales en salud en España A proposal of policies and interventions to reduce social inequalities in health in Spain

    Directory of Open Access Journals (Sweden)

    2012-04-01

    Full Text Available En noviembre de 2008, a petición de la Dirección General de Salud Pública y Sanidad Exterior del Ministerio de Sanidad y Política Social, se constituyó la Comisión para Reducir las Desigualdades Sociales en Salud en España con el cometido de elaborar una propuesta de medidas de intervención para disminuir las desigualdades en salud. El objetivo de este artículo es exponer el trabajo realizado y los documentos elaborados por la Comisión. Los 18 profesionales que la formaban realizaron un análisis de situación sobre las desigualdades en salud y las políticas para reducirlas, revisaron documentos internacionales y consultaron a 56 expertos de distintos ámbitos para elaborar una propuesta de recomendaciones para disminuir las desigualdades en salud. En mayo de 2010, la Comisión presentó el documento «Avanzando hacia la equidad: Propuesta de políticas e intervenciones para reducir las desigualdades sociales en salud en España». En el documento se detallan 166 recomendaciones, divididas en 14 áreas y ordenadas por prioridad. Las recomendaciones evidencian que la reducción de las desigualdades sociales en salud no es posible sin un compromiso para impulsar la salud y la equidad en todas las políticas y para avanzar hacia una sociedad más justa.In November 2008, at the request of the Directorate General of Public Health of the Ministry of Health and Social Policy, the Commission to Reduce Social Inequalities in Health in Spain was established with a mandate to develop a proposal for interventions to reduce health inequalities. This article aims to present the work carried out and the documents prepared by the Commission. The Commission, consisting of 18 members, conducted a situational analysis of health inequalities and of the policies to reduce them, reviewed international documents and consulted 56 experts from distinct fields to develop a proposal for recommendations to reduce health inequalities. In May 2010, the Commission

  14. Income-related inequalities in health: some international comparisons

    NARCIS (Netherlands)

    E.K.A. van Doorslaer (Eddy); A. Wagstaff (Adam); H. Bleichrodt (Han)

    1997-01-01

    textabstractThis paper presents evidence on income-related inequalities in self-assessed health in nine industrialized countries. Health interview survey data were used to construct concentration curves of self-assessed health, measured as a latent variable. Inequalities in health favoured the

  15. Socioeconomic inequalities in health in 22 European countries

    DEFF Research Database (Denmark)

    Mackenbach, Johan P; Stirbu, Irina; Roskam, Albert-Jan R

    2008-01-01

    , such as tuberculosis and hypertension. Data on self-assessed health, smoking, and obesity according to education and income were obtained from health or multipurpose surveys. For each country, the association between socioeconomic status and health outcomes was measured with the use of regression-based inequality...... by improving educational opportunities, income distribution, health-related behavior, or access to health care.......BACKGROUND: Comparisons among countries can help to identify opportunities for the reduction of inequalities in health. We compared the magnitude of inequalities in mortality and self-assessed health among 22 countries in all parts of Europe. METHODS: We obtained data on mortality according...

  16. Health sector reform in Brazil: a case study of inequity.

    Science.gov (United States)

    Almeida, C; Travassos, C; Porto, S; Labra, M E

    2000-01-01

    Health sector reform in Brazil built the Unified Health System according to a dense body of administrative instruments for organizing decentralized service networks and institutionalizing a complex decision-making arena. This article focuses on the equity in health care services. Equity is defined as a principle governing distributive functions designed to reduce or offset socially unjust inequalities, and it is applied to evaluate the distribution of financial resources and the use of health services. Even though in the Constitution the term "equity" refers to equal opportunity of access for equal needs, the implemented policies have not guaranteed these rights. Underfunding, fiscal stress, and lack of priorities for the sector have contributed to a progressive deterioration of health care services, with continuing regressive tax collection and unequal distribution of financial resources among regions. The data suggest that despite regulatory measures to increase efficiency and reduce inequalities, delivery of health care services remains extremely unequal across the country. People in lower income groups experience more difficulties in getting access to health services. Utilization rates vary greatly by type of service among income groups, positions in the labor market, and levels of education.

  17. Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach.

    Science.gov (United States)

    Cai, Jiaoli; Coyte, Peter C; Zhao, Hongzhong

    2017-07-18

    In recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades. This study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related health inequality in China. Health status was derived from self-rated health (SRH) scores. The analyses were conducted on urban and rural samples separately. We found that the average level of health status declined from 1989 to 2006 for both urban and rural populations. Average health scores were greater for the rural population compared with those for the urban population. We also found that there exists pro-rich health inequality in China. While income and secondary education were the main factors to reduce health inequality, older people, unhealthy lifestyles and a poor home environment increased inequality. Health insurance had the opposite effects on health inequality for urban and rural populations, resulting in lower inequality for urban populations and higher inequality for their rural counterparts. These findings suggest that an effective way to reduce socioeconomic-related health inequality is not only to increase income and improve access to health care services, but also to focus on improvements in the lifestyles and the home environment. Specifically, for rural populations, it is particularly important to improve the design of health insurance and implement a more comprehensive insurance package that can effectively target the rural poor. Moreover, it is necessary to comprehensively promote the flush toilets and tap water in rural areas. For urban populations, in addition to promoting universal secondary education, healthy lifestyles should be promoted

  18. Gender Policies and Gender Inequalities in Health in Europe: Results of the SOPHIE Project.

    Science.gov (United States)

    Palència, Laia; De Moortel, Deborah; Artazcoz, Lucía; Salvador-Piedrafita, María; Puig-Barrachina, Vanessa; Hagqvist, Emma; Pérez, Glòria; Ruiz, Marisol E; Trujillo-Alemán, Sara; Vanroelen, Christophe; Malmusi, Davide; Borrell, Carme

    2017-01-01

    The aim of this article is to explain the results of the SOPHIE project regarding the effect of gender policies on gender inequalities in health in Europe. We start with the results of a systematic review on how gender regimes and gender equality policies at the country level impact women's health and gender inequalities in health. Then, we report on three empirical analyses on the relationship between different family policy models existing in Europe and gender inequalities in health. Finally we present four case studies on specific examples of gender policies or determinants of gender inequalities in health. The results show that policies that support women's participation in the labor force and decrease their burden of care, such as public services and support for families and entitlements for fathers, are related to lower levels of gender inequality in terms of health. In addition, public services and benefits for disabled and dependent people can reduce the burden placed on family caregivers and hence improve their health. In the context of the current economic crisis, gender equality policies should be maintained or improved. © The Author(s) 2016.

  19. The policies-inequality feedback and health: the case of globalisation.

    Science.gov (United States)

    De Vogli, R; Gimeno, D; Mistry, R

    2009-09-01

    Major research contributions aimed at explaining the association between economic inequality and health have concentrated on the plausibility of the material deprivation and psychosocial factors pathways. However, little work has analysed the reciprocal associations between public policies and inequality and their effect on health. A conceptual framework was first proposed explaining how the public policies-inequality feedback can influence health outcomes via material deprivation and psychosocial factors. Then, a critical review of the literature was conducted and an analysis of the health effects of the globalisation-inequality feedback as a case study. Different bodies of evidence seem to give support to the hypothesis of a public policies-inequality feedback influencing health-related outcomes. This seems to be particularly true when considering globalisation policies. Since the widespread adoption of the so-called "Washington Consensus", economic inequalities have sharply increased worldwide. The rise in inequality has, in turn, further consolidated the adoption of these policies through an increasing "democratic deficit". The reciprocal effects of globalisation and inequality have produced adverse health outcomes between and within societies through both material deprivation and psychosocial stress. Public policies and economic inequality are inextricably interrelated and can affect health through multiple, indirect, reciprocal pathways.

  20. Income-related inequality in health and health care utilization in Chile, 2000-2009.

    Science.gov (United States)

    Vásquez, Felipe; Paraje, Guillermo; Estay, Manuel

    2013-02-01

    To measure and explain income-related inequalities in health and health care utilization in the period 2000 - 2009 in Chile, while assessing variations within the country and determinants of inequalities. Data from the National Socioeconomic Characterization Survey for 2000, 2003, and 2009 were used to measure inequality in health and health care utilization. Income-related inequality in health care utilization was assessed with standardized concentration indices for the probability and total number of visits to specialized care, generalized care, emergency care, dental care, mental health care, and hospital care. Self-assessed health status and physical limitations were used as proxies for health care need. Standardization was performed with demographic and need variables. The decomposition method was applied to estimate the contribution of each factor used to calculate the concentration index, including ethnicity, employment status, health insurance, and region of residence. In Chile, people in lower-income quintiles report worse health status and more physical limitations than people in higher quintiles. In terms of health service utilization, pro-rich inequities were found for specialized and dental visits with a slight pro-rich utilization for general practitioners and all physician visits. All pro-rich inequities have decreased over time. Emergency room visits and hospitalizations are concentrated among lower-income quintiles and have increased over time. Higher education and private health insurance contribute to a pro-rich inequity in dentist, general practitioner, specialized, and all physician visits. Income contributes to a pro-rich inequity in specialized and dentist visits, whereas urban residence and economic activity contribute to a pro-poor inequity in emergency room visits. The pattern of health care utilization in Chile is consistent with policies implemented in the country and in the intended direction. The significant income inequality in the

  1. Social inequalities in health: measuring the contribution of housing deprivation and social interactions for Spain.

    Science.gov (United States)

    Urbanos-Garrido, Rosa M

    2012-12-14

    Social factors have been proved to be main determinants of individuals' health. Recent studies have also analyzed the contribution of some of those factors, such as education and job status, to socioeconomic inequalities in health. The aim of this paper is to provide new evidence about the factors driving socioeconomic inequalities in health for the Spanish population by including housing deprivation and social interactions as health determinants. Cross-sectional study based on the Spanish sample of European Statistics on Income and Living Conditions (EU-SILC) for 2006. The concentration index measuring income-related inequality in health is decomposed into the contribution of each determinant. Several models are estimated to test the influence of different regressors for three proxies of ill-health. Health inequality favouring the better-off is observed in the distribution of self-assessed health, presence of chronic diseases and presence of limiting conditions. Inequality is mainly explained, besides age, by social factors such as labour status and financial deprivation. Housing deprivation contributes to pro-rich inequality in a percentage ranging from 7.17% to 13.85%, and social interactions from 6.16% to 10.19%. The contribution of some groups of determinants significantly differs depending on the ill-health variable used. Health inequalities can be mostly reduced or shaped by policy, as they are mainly explained by social determinants such as labour status, education and other socioeconomic conditions. The major role played on health inequality by variables taking part in social exclusion points to the need to focus on the most vulnerable groups.

  2. Under the veil of neoliberalism: inequality, health, and capabilities

    OpenAIRE

    Kemp, Eagan

    2008-01-01

    The relationship between income inequality and health has received substantial attention in the fields of medical sociology and public health and continues to be debated. In Chile, previous findings indicate that there is an income inequality effect; respondents who live in areas with high inequality experience a greater probability of poor self-reported health. This study examines the Wilkinson income inequality hypothesis in a new way by using it in conjunction with Sen’s capability approac...

  3. CDC Health Disparities and Inequalities Report--U.S. 2013

    Science.gov (United States)

    ... Women's Health Health Literacy Health Equity CDC Health Disparities & Inequalities Report (CHDIR) Recommend on Facebook Tweet Share ... 2011 Report More Information CDC Releases Second Health Disparities & Inequalities Report - United States, 2013 CDC and its ...

  4. Social inequality in health, responsibility and egalitarian justice

    DEFF Research Database (Denmark)

    Andersen, Martin Marchman; Dalton, Susanne Oksbjerg; Johansen, Christoffer

    2013-01-01

    Are social inequalities in health unjust when brought about by differences in lifestyle? A widespread idea, luck egalitarianism, is that inequality stemming from individuals’ free choices is not to be considered unjust, since individuals, presumably, are themselves responsible for such choices....... Thus, to the extent that lifestyles are in fact results of free choices, social inequality in health brought about by these choices is not in tension with egalitarian justice. If this is so, then it may put in question the justification of free and equal access to health care and existing medical...... not fully establish - that at the most fundamental level people are never responsible in such a way that appeals to individuals’ own responsibility can justify inequalities in health....

  5. Ethnic minority health in Vietnam: a review exposing horizontal inequity

    Directory of Open Access Journals (Sweden)

    Mats Målqvist

    2013-03-01

    Full Text Available Background: Equity in health is a pressing concern and reaching disadvantaged populations is necessary to close the inequity gap. To date, the discourse has predominately focussed on reaching the poor. At the same time and in addition to wealth, other structural determinants that influence health outcomes exist, one of which is ethnicity. Inequities based on group belongings are recognised as ‘horizontal’, as opposed to the more commonly used notion of ‘vertical’ inequity based on individual characteristics. Objective: The aim of the present review is to highlight ethnicity as a source of horizontal inequity in health and to expose mechanisms that cause and maintain this inequity in Vietnam. Design: Through a systematic search of available academic and grey literature, 49 publications were selected for review. Information was extracted on: a quantitative measures of health inequities based on ethnicity and b qualitative descriptions explaining potential reasons for ethnicity-based health inequities. Results: Five main areas were identified: health-care-seeking and utilization, maternal and child health, nutrition, infectious diseases, and oral health and hygiene. Evidence suggests the presence of severe health inequity in health along ethnic lines in all these areas. Research evidence also offers explanations derived from both external and internal group dynamics to this inequity. It is reported that government policies and programs appear to be lacking in culturally adaptation and sensitivity, and examples of bad attitudes and discrimination from health staff toward minority persons were identified. In addition, traditions and patriarchal structures within ethnic minority groups were seen to contribute to the maintenance of harmful health behaviors within these groups. Conclusion: Better understandings of the scope and pathways of horizontal inequities are required to address ethnic inequities in health. Awareness of ethnicity as a

  6. Ethnic minority health in Vietnam: a review exposing horizontal inequity

    Science.gov (United States)

    Målqvist, Mats; Hoa, Dinh Thi Phuong; Liem, Nguyen Thanh; Thorson, Anna; Thomsen, Sarah

    2013-01-01

    Background Equity in health is a pressing concern and reaching disadvantaged populations is necessary to close the inequity gap. To date, the discourse has predominately focussed on reaching the poor. At the same time and in addition to wealth, other structural determinants that influence health outcomes exist, one of which is ethnicity. Inequities based on group belongings are recognised as ‘horizontal’, as opposed to the more commonly used notion of ‘vertical’ inequity based on individual characteristics. Objective The aim of the present review is to highlight ethnicity as a source of horizontal inequity in health and to expose mechanisms that cause and maintain this inequity in Vietnam. Design Through a systematic search of available academic and grey literature, 49 publications were selected for review. Information was extracted on: a) quantitative measures of health inequities based on ethnicity and b) qualitative descriptions explaining potential reasons for ethnicity-based health inequities. Results Five main areas were identified: health-care-seeking and utilization, maternal and child health, nutrition, infectious diseases, and oral health and hygiene. Evidence suggests the presence of severe health inequity in health along ethnic lines in all these areas. Research evidence also offers explanations derived from both external and internal group dynamics to this inequity. It is reported that government policies and programs appear to be lacking in culturally adaptation and sensitivity, and examples of bad attitudes and discrimination from health staff toward minority persons were identified. In addition, traditions and patriarchal structures within ethnic minority groups were seen to contribute to the maintenance of harmful health behaviors within these groups. Conclusion Better understandings of the scope and pathways of horizontal inequities are required to address ethnic inequities in health. Awareness of ethnicity as a determinant of health, not

  7. The cost of child health inequalities in Aotearoa New Zealand: a preliminary scoping study.

    Science.gov (United States)

    Mills, Clair; Reid, Papaarangi; Vaithianathan, Rhema

    2012-05-28

    Health inequalities have been extensively documented, internationally and in New Zealand. The cost of reducing health inequities is often perceived as high; however, recent international studies suggest the cost of "doing nothing" is itself significant. This study aimed to develop a preliminary estimate of the economic cost of health inequities between Māori (indigenous) and non-Māori children in New Zealand. Standard quantitative epidemiological methods and "cost of illness" methodology were employed, within a Kaupapa Māori theoretical framework. Data were obtained from national data collections held by the New Zealand Health Information Service and other health sector agencies. Preliminary estimates suggest child health inequities between Māori and non-Māori in New Zealand are cost-saving to the health sector. However the societal costs are significant. A conservative "base case" scenario estimate is over $NZ62 million per year, while alternative costing methods yield larger costs of nearly $NZ200 million per annum. The total cost estimate is highly sensitive to the costing method used and Value of Statistical Life applied, as the cost of potentially avoidable deaths of Māori children is the major contributor to this estimate. This preliminary study suggests that health sector spending is skewed towards non-Māori children despite evidence of greater Māori need. Persistent child health inequities result in significant societal economic costs. Eliminating child health inequities, particularly in primary care access, could result in significant economic benefits for New Zealand. However, there are conceptual, ethical and methodological challenges in estimating the economic cost of child health inequities. Re-thinking of traditional economic frameworks and development of more appropriate methodologies is required.

  8. Effectiveness of a multiple-strategy community intervention to reduce maternal and child health inequalities in Haryana, North India: a mixed-methods study protocol

    Directory of Open Access Journals (Sweden)

    Madhu Gupta

    2015-02-01

    Full Text Available Background: A multiple-strategy community intervention, known as National Rural Health Mission (NRHM, launched in India to improve the availability of and access to better-quality healthcare, especially for rural, poor mothers and children. The final goal of the intervention is to reduce maternal and child health inequalities across geographical areas, socioeconomic status groups, and sex of the child. Extensive, in-depth research is necessary to assess the effectiveness of NRHM, on multiple outcome dimensions. This paper presents the design of a new study, able to overcome the shortcomings of previous research. Objective: To propose a comprehensive, methodologically sound protocol to assess the extent of implementation and the effectiveness of NRHM measures to improve maternal and child health outcomes and reduce maternal and child health inequalities. Design: A mixed-methods approach (quantitative and qualitative is proposed for this study in Haryana, a state in North India. NRHM's health sector plans included health system strengthening, specific maternal and child healthcare strategies, and communitization. Mission documents and reports on progress, financial monitoring, and common and joint review will be reviewed in-depth to assess the extent of the implementation of plans. Data on maternal and child health indicators will be obtained from demographic health surveys held before, during, and after the implementation of the first phase of the NRHM (2005–2012 and compared over time. Differences in maternal and child health indicators will be used to measure maternal and child health inequalities; these will be compared pre- and post-NRHM. Focus group discussions (FGDs with service providers and in-depth interviews with program managers, community representatives, and mothers will be conducted until data saturation is achieved, in two districts of Haryana. Using Nvivo software, an inductive qualitative content analysis will be performed to

  9. Do interventions designed to support shared decision-making reduce health inequalities? A systematic review and meta-analysis

    NARCIS (Netherlands)

    Durand, M.A.; Carpenter, L.; Dolan, H.; Bravo, P.; Mann, M.; Bunn, F.; Elwyn, G.

    2014-01-01

    BACKGROUND: Increasing patient engagement in healthcare has become a health policy priority. However, there has been concern that promoting supported shared decision-making could increase health inequalities. OBJECTIVE: To evaluate the impact of SDM interventions on disadvantaged groups and health

  10. Inequalities in perceived health in the Russian Federation, 1994–2012

    Directory of Open Access Journals (Sweden)

    Pavitra Paul

    2016-02-01

    Full Text Available Abstract Background Individual characteristics and socioeconomic strata (SES are important determinants of health differences. We examine health inequalities in Russia and estimate the association of demography (gender and age and SES (working status, income, geography of residence, living standard, wealth possession, and durable asset-holding with perceived health over the period 1994–2012. Methods This study uses nationally representative datasets from the Russian Longitudinal Monitoring Survey (RLMS: 1994–2012. We apply a random effect GLS model to examine the association of individual characteristics and individual heterogeneity in explaining self-perceived health status. In addition, we estimate a regression-based concentration index, which we decompose into the determinants of health inequalities. Results The self-perceived health differences between the better-off and the worse-off is reduced over the 18 year period (1994 – 2012. The individual variances in self-perceived health status are higher compared to the variances between the individuals over the period. The measure of health inequality index (concentration index indicates a change for better health for the better-off Russians. Being employed matters in perceiving a better health status for the Russians in 2012. Conclusions Self-perceived health differences in the Russian Federation has changed over time. Such differences in changes are attributable to both changes in the distribution of the determinants of health as well as changes in the association between the determinants of health with the self-perceived health status. Though this study identifies the determinants of health inequalities for the Russians, the future research is to examine the in-country distribution of these determinants that produce health differences within the Russian Federation.

  11. Technological innovations and the rise of social inequalities in health.

    Science.gov (United States)

    Weiss, Daniel; Eikemo, Terje Andreas

    2017-11-01

    Social inequalities in health have been categorised as a human-rights issue that requires action. Unfortunately, these inequalities are on the rise in many countries, including welfare states. Various theories have been offered to explain the persistence (and rise) of these inequalities over time, including the social determinants of health and fundamental cause theory. Interestingly, the rise of modern social inequalities in health has come at a time of great technological innovation. This article addresses whether these technological innovations are significantly influencing the persistence of modern social inequalities in health. A theoretical argument is offered for this potential connection and is discussed alongside the typical social determinants of health perspective and the increasingly popular fundamental cause perspective. This is followed by a proposed research agenda for further investigation of the potential role that technological innovations may play in influencing social inequalities in health.

  12. Cultural capital and social inequality in health.

    Science.gov (United States)

    Abel, T

    2008-07-01

    Economic and social resources are known to contribute to the unequal distribution of health outcomes. Culture-related factors such as normative beliefs, knowledge and behaviours have also been shown to be associated with health status. The role and function of cultural resources in the unequal distribution of health is addressed. Drawing on the work of French Sociologist Pierre Bourdieu, the concept of cultural capital for its contribution to the current understanding of social inequalities in health is explored. It is suggested that class related cultural resources interact with economic and social capital in the social structuring of people's health chances and choices. It is concluded that cultural capital is a key element in the behavioural transformation of social inequality into health inequality. New directions for empirical research on the interplay between economic, social and cultural capital are outlined.

  13. Health Equity Assessment Toolkit (HEAT: software for exploring and comparing health inequalities in countries

    Directory of Open Access Journals (Sweden)

    Ahmad Reza Hosseinpoor

    2016-10-01

    Full Text Available Abstract Background It is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequalities allows for the identification of health topics where major group differences exist, dimensions of inequality that must be prioritised to effect improvements in multiple health domains, and also population subgroups that are multiply disadvantaged. While availability of data to monitor health inequalities is gradually improving, there is a commensurate need to increase, within countries, the technical capacity for analysis of these data and interpretation of results for decision-making. Prior efforts to build capacity have yielded demand for a toolkit with the computational ability to display disaggregated data and summary measures of inequality in an interactive and customisable fashion that would facilitate interpretation and reporting of health inequality in a given country. Methods To answer this demand, the Health Equity Assessment Toolkit (HEAT, was developed between 2014 and 2016. The software, which contains the World Health Organization’s Health Equity Monitor database, allows the assessment of inequalities within a country using over 30 reproductive, maternal, newborn and child health indicators and five dimensions of inequality (economic status, education, place of residence, subnational region and child’s sex, where applicable. Results/Conclusion HEAT was beta-tested in 2015 as part of ongoing capacity building workshops on health inequality monitoring. This is the first and only application of its kind; further developments are proposed to introduce an upload data feature, translate it into different languages and increase interactivity of the software. This article will present the main features and functionalities of HEAT and discuss its relevance and use for health inequality monitoring.

  14. European health inequality through the 'Great Recession': social policy matters.

    Science.gov (United States)

    van der Wel, Kjetil A; Saltkjel, Therese; Chen, Wen-Hao; Dahl, Espen; Halvorsen, Knut

    2018-05-01

    This paper investigates the association between the Great Recession and educational inequalities in self-rated general health in 25 European countries. We investigate four different indicators related to economic recession: GDP; unemployment; austerity and a 'crisis' indicator signifying severe simultaneous drops in GDP and welfare generosity. We also assess the extent to which health inequality changes can be attributed to changes in the economic conditions and social capital in the European populations. The paper uses data from the European Social Survey (2002-2014). The analyses include both cross-sectional and lagged associations using multilevel linear regression models with country fixed effects. This approach allows us to identify health inequality changes net of all time-invariant differences between countries. GDP drops and increasing unemployment were associated with decreasing health inequalities. Austerity, however, was related to increasing health inequalities, an association that grew stronger with time. The strongest increase in health inequality was found for the more robust 'crisis' indicator. Changes in trust, social relationships and in the experience of economic hardship of the populations accounted for much of the increase in health inequality. The paper concludes that social policy has an important role in the development of health inequalities, particularly during times of economic crisis. © 2018 The Authors. Sociology of Health & Illness published by John Wiley & Sons Ltd on behalf of Foundation for SHIL.

  15. Inequalities in health: the role of health insurance in Nigeria

    Directory of Open Access Journals (Sweden)

    Amanda Chukwudozie

    2016-08-01

    Full Text Available Health financing is a core necessity for sustainable healthcare delivery. Access inequalities due to financial restrictions in low-middle income countries, and in Africa especially, significantly affect disease rates and health statistics in these regions. This paper focuses on the role of a national health insurance cover as a funding medium in Nigeria, highlighting the theoretical premise of health insurance, its driving forces, key benefits and key limitations particular to the country under scrutiny. Emphasis is laid on its overall effect on the pressing public health issue of health inequality.

  16. The cost of child health inequalities in Aotearoa New Zealand: a preliminary scoping study

    Directory of Open Access Journals (Sweden)

    Mills Clair

    2012-05-01

    Full Text Available Abstract Background Health inequalities have been extensively documented, internationally and in New Zealand. The cost of reducing health inequities is often perceived as high; however, recent international studies suggest the cost of “doing nothing” is itself significant. This study aimed to develop a preliminary estimate of the economic cost of health inequities between Māori (indigenous and non-Māori children in New Zealand. Methods Standard quantitative epidemiological methods and “cost of illness” methodology were employed, within a Kaupapa Māori theoretical framework. Data were obtained from national data collections held by the New Zealand Health Information Service and other health sector agencies. Results Preliminary estimates suggest child health inequities between Māori and non-Māori in New Zealand are cost-saving to the health sector. However the societal costs are significant. A conservative “base case” scenario estimate is over $NZ62 million per year, while alternative costing methods yield larger costs of nearly $NZ200 million per annum. The total cost estimate is highly sensitive to the costing method used and Value of Statistical Life applied, as the cost of potentially avoidable deaths of Māori children is the major contributor to this estimate. Conclusions This preliminary study suggests that health sector spending is skewed towards non-Māori children despite evidence of greater Māori need. Persistent child health inequities result in significant societal economic costs. Eliminating child health inequities, particularly in primary care access, could result in significant economic benefits for New Zealand. However, there are conceptual, ethical and methodological challenges in estimating the economic cost of child health inequities. Re-thinking of traditional economic frameworks and development of more appropriate methodologies is required.

  17. Embodying 'health citizenship' in health knowledge to fight health inequalities

    Directory of Open Access Journals (Sweden)

    Danielle Groleau

    2011-10-01

    Full Text Available This paper wishes to contribute to the debate around citizen participation in health system decision-making that has been present internationally for the last 30 years. I argue that if we aim to change health inequalities, health professionals and planners need to understand the illness and health service experience of citizens. The concept of 'health citizenship' introduced here refers to health knowledge that integrates the lay knowledge of patients and that this integration is translated into health actions such as clinical communication and the planning of health care, programs, and policy. We illustrate our argument with the two cases: health literacy and the promotion of breastfeeding in a Canadian population living in context of poverty. This paper then concludes by addressing the leadership role, Brazilian graduate nursing schools can play in promoting 'health citizenship' and by doing so, contribute to fight health inequalities.

  18. Discrimination, perceived social inequity, and mental health among rural-to-urban migrants in China.

    Science.gov (United States)

    Lin, Danhua; Li, Xiaoming; Wang, Bo; Hong, Yan; Fang, Xiaoyi; Qin, Xiong; Stanton, Bonita

    2011-04-01

    Status-based discrimination and inequity have been associated with the process of migration, especially with economics-driven internal migration. However, their association with mental health among economy-driven internal migrants in developing countries is rarely assessed. This study examines discriminatory experiences and perceived social inequity in relation to mental health status among rural-to-urban migrants in China. Cross-sectional data were collected from 1,006 rural-to-urban migrants in 2004-2005 in Beijing, China. Participants reported their perceptions and experiences of being discriminated in daily life in urban destination and perceived social inequity. Mental health was measured using the symptom checklist-90 (SCL-90). Multivariate analyses using general linear model were performed to test the effect of discriminatory experience and perceived social inequity on mental health. Experience of discrimination was positively associated with male gender, being married at least once, poorer health status, shorter duration of migration, and middle range of personal income. Likewise, perceived social inequity was associated with poorer health status, higher education attainment, and lower personal income. Multivariate analyses indicate that both experience of discrimination and perceived social inequity were strongly associated with mental health problems of rural-to-urban migrants. Experience of discrimination in daily life and perceived social inequity have a significant influence on mental health among rural-to-urban migrants. The findings underscore the needs to reduce public or societal discrimination against rural-to-urban migrants, to eliminate structural barriers (i.e., dual household registrations) for migrants to fully benefit from the urban economic development, and to create a positive atmosphere to improve migrant's psychological well-being.

  19. [Implicit value judgments in the measurement of health inequalities].

    Science.gov (United States)

    Harper, Sam; King, Nicholas B; Meersman, Stephen C; E Reichman, Marsha; Breen, Nancy; Lynch, John

    2014-04-01

    Quantitative estimates of the magnitude, direction, and rate of change of health inequalities play a crucial role in creating and assessing policies aimed at eliminating the disproportionate burden of disease in disadvantaged populations. It is generally assumed that the measurement of health inequalities is a value-neutral process, providing objective data that are then interpreted using normative judgments about whether a particular distribution of health is just, fair, or socially acceptable. We discuss five examples in which normative judgments play a role in the measurement process itself, through either the selection of one measurement strategy to the exclusion of others or the selection of the type, significance, or weight assigned to the variables being measured. Overall, we find that many commonly used measures of inequality are value laden and that the normative judgments implicit in these measures have important consequences for interpreting and responding to health inequalities. Because values implicit in the generation of health inequality measures may lead to radically different interpretations of the same underlying data,we urge researchers to explicitly consider and transparently discuss the normative judgments underlying their measures. We also urge policymakers and other consumers of health inequalities data to pay close attention to the measures on which they base their assessments of current and future health policies.

  20. Implicit value judgments in the measurement of health inequalities.

    Science.gov (United States)

    Harper, Sam; King, Nicholas B; Meersman, Stephen C; Reichman, Marsha E; Breen, Nancy; Lynch, John

    2010-03-01

    Quantitative estimates of the magnitude, direction, and rate of change of health inequalities play a crucial role in creating and assessing policies aimed at eliminating the disproportionate burden of disease in disadvantaged populations. It is generally assumed that the measurement of health inequalities is a value-neutral process, providing objective data that are then interpreted using normative judgments about whether a particular distribution of health is just, fair, or socially acceptable. We discuss five examples in which normative judgments play a role in the measurement process itself, through either the selection of one measurement strategy to the exclusion of others or the selection of the type, significance, or weight assigned to the variables being measured. Overall, we find that many commonly used measures of inequality are value laden and that the normative judgments implicit in these measures have important consequences for interpreting and responding to health inequalities. Because values implicit in the generation of health inequality measures may lead to radically different interpretations of the same underlying data, we urge researchers to explicitly consider and transparently discuss the normative judgments underlying their measures. We also urge policymakers and other consumers of health inequalities data to pay close attention to the measures on which they base their assessments of current and future health policies.

  1. Rising inequalities in income and health in China: Who is left behind?

    Science.gov (United States)

    Baeten, Steef; Van Ourti, Tom; van Doorslaer, Eddy

    2013-01-01

    In recent decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition approach using the China Health and Nutrition Survey (1991–2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers for reducing health disparities between rich and poor Chinese. PMID:24189450

  2. Education policies and health inequalities: evidence from changes in the distribution of Body Mass Index in France, 1981-2003.

    Science.gov (United States)

    Etile, Fabrice

    2014-03-01

    This paper contributes to the debate over the effectiveness of education policies in reducing overall health inequalities as compared to public health actions directed at the less-educated. Recentered Influence Function (RIF) regressions are used to decompose the contribution of education to the changing distribution of Body Mass Index (BMI) in France, between 1981 and 2003, into a composition effect (the shift in population education due to a massive educational expansion), and a structure effect (a changing educational gradient in BMI). Educational expansion has reduced overall BMI inequality by 3.4% for women and 2.3% for men. However, the structure effect on its own has produced a 10.9% increase in overall inequality for women, due to a steeper education gradient starting from the second quartile of the distribution. This structure effect on overall inequality is also large (7.6%) for men, albeit insignificant as it remains concentrated in the last decile. Educational expansion policies can thus reduce overall BMI inequalities; but attention must still be paid to the BMI gradient in education even for policies addressing overall rather than socioeconomic health inequalities. Copyright © 2013 Elsevier B.V. All rights reserved.

  3. Age-related inequalities in health and healthcare: the life stages approach.

    Science.gov (United States)

    Jecker, Nancy S

    2017-05-16

    How should healthcare systems prepare to care for growing numbers and proportions of older people? Older people generally suffer worse health than younger people do. Should societies take steps to reduce age-related health inequalities? Some express concern that doing so would increase age-related inequalities in healthcare. This paper addresses this debate by (1) presenting an argument in support of three principles for distributing scarce resources between age groups; (2) framing these principles of age group justice in terms of life stages; and (3) indicating policy implications that merit further attention in light of rapidly aging societies. © 2017 John Wiley & Sons Ltd.

  4. Progress in reducing inequalities in reproductive, maternal, newborn,' and child health in Latin America and the Caribbean: an unfinished agenda

    OpenAIRE

    María Clara Restrepo-Méndez; Aluísio J. D. Barros; Jennifer Requejo; Pablo Durán; Luis Andrés de Francisco Serpa; Giovanny V. A. França; Fernando C. Wehrmeister; Cesar G. Victora

    2015-01-01

    OBJECTIVE: To expand the "Countdown to 2015" analyses of health inequalities beyond the 75 countries being monitored worldwide to include all countries in Latin America and the Caribbean (LAC) that have adequate data available. METHODS: Demographic and Health Surveys and Multiple Indicator Cluster Surveys were used to monitor progress in health intervention coverage and inequalities in 13 LAC countries, five of which are included in the Countdown (Bolivia, Brazil, Guatemala, Haiti, and Peru) ...

  5. Changes in income inequality and the health of immigrants

    Science.gov (United States)

    Hamilton, Tod G.; Kawachi, Ichiro

    2016-01-01

    Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married. PMID:23352417

  6. Social inequality in health, responsibility and egalitarian justice.

    Science.gov (United States)

    Marchman Andersen, M; Oksbjerg Dalton, S; Lynch, J; Johansen, C; Holtug, N

    2013-03-01

    Are social inequalities in health unjust when brought about by differences in lifestyle? A widespread idea, luck egalitarianism, is that inequality stemming from individuals' free choices is not to be considered unjust, since individuals, presumably, are themselves responsible for such choices. Thus, to the extent that lifestyles are in fact results of free choices, social inequality in health brought about by these choices is not in tension with egalitarian justice. If this is so, then it may put in question the justification of free and equal access to health care and existing medical research priorities. However, personal responsibility is a highly contested issue and in this article we first consider the case for, and second the case against, personal responsibility for health in light of recent developments in philosophical accounts of responsibility and equality. We suggest-but do not fully establish-that at the most fundamental level people are never responsible in such a way that appeals to individuals' own responsibility can justify inequalities in health.

  7. Building a Foundation to Reduce Health Inequities: Routine Collection of Sociodemographic Data in Primary Care.

    Science.gov (United States)

    Pinto, Andrew D; Glattstein-Young, Gabriela; Mohamed, Anthony; Bloch, Gary; Leung, Fok-Han; Glazier, Richard H

    2016-01-01

    Detailed data on social determinants of health can facilitate the identification of inequities in access to health care. We report on a sociodemographic data collection tool used in a family medicine clinic. Four major health organizations in Toronto collaborated to identify a set of 14 questions that covered a range of social determinants of health. These were translated into 13 languages. This survey was self-administered using an electronic tablet to a convenience sample of 407 patients in the waiting room of a primary care clinic. Data were uploaded directly to the electronic medical record. The rate of valid responses provided for each question was high, ranging from 84% to 100%. The questions with the highest number of patients selecting "do not know" and "prefer not to answer" pertained to disabilities and income. Patients reported finding the process acceptable. In subsequent implementation across 5 clinics, 10,536 patients have been surveyed; only 724 (6.9%) declined to participate. Collecting data on social determinants of health through a self-administered survey, and linking them to a patient's chart, is feasible and acceptable. A modified survey is now administered to all patients. Such data are already being used to identify health inequities, develop novel interventions, and evaluate their impact on health outcomes. © Copyright 2016 by the American Board of Family Medicine.

  8. The link between inequality and population health in low and middle income countries: policy myth or social reality?

    Directory of Open Access Journals (Sweden)

    Ioana van Deurzen

    Full Text Available An influential policy idea states that reducing inequality is beneficial for improving health in the low and middle income countries (LMICs. Our study provides an empirical test of this idea: we utilized data collected by the Demographic and Health Surveys between 2000 and 2011 in as much as 52 LMICs, and we examined the relationship between household wealth inequality and two health outcomes: anemia status (of the children and their mothers and the women' experience of child mortality. Based on multi-level analyses, we found that higher levels of household wealth inequality related to worse health, but this effect was strongly reduced when we took into account the level of individuals' wealth. However, even after accounting for the differences between individuals in terms of household wealth and other characteristics, in those LMICs with higher household wealth inequality more women experienced child mortality and more children were tested with anemia. This effect was partially mediated by the country's level and coverage of the health services and infrastructure. Furthermore, we found higher inequality to be related to a larger health gap between the poor and the rich in only one of the three examined samples. We conclude that an effective way to improve the health in the LMICs is to increase the wealth among the poor, which in turn also would lead to lower overall inequality and potential investments in public health infrastructure and services.

  9. The link between inequality and population health in low and middle income countries: policy myth or social reality?

    Science.gov (United States)

    van Deurzen, Ioana; van Oorschot, Wim; van Ingen, Erik

    2014-01-01

    An influential policy idea states that reducing inequality is beneficial for improving health in the low and middle income countries (LMICs). Our study provides an empirical test of this idea: we utilized data collected by the Demographic and Health Surveys between 2000 and 2011 in as much as 52 LMICs, and we examined the relationship between household wealth inequality and two health outcomes: anemia status (of the children and their mothers) and the women' experience of child mortality. Based on multi-level analyses, we found that higher levels of household wealth inequality related to worse health, but this effect was strongly reduced when we took into account the level of individuals' wealth. However, even after accounting for the differences between individuals in terms of household wealth and other characteristics, in those LMICs with higher household wealth inequality more women experienced child mortality and more children were tested with anemia. This effect was partially mediated by the country's level and coverage of the health services and infrastructure. Furthermore, we found higher inequality to be related to a larger health gap between the poor and the rich in only one of the three examined samples. We conclude that an effective way to improve the health in the LMICs is to increase the wealth among the poor, which in turn also would lead to lower overall inequality and potential investments in public health infrastructure and services.

  10. Gender (inequality among employees in elder care: implications for health

    Directory of Open Access Journals (Sweden)

    Elwér Sofia

    2012-01-01

    Full Text Available Abstract Introduction Gendered practices of working life create gender inequalities through horizontal and vertical gender segregation in work, which may lead to inequalities in health between women and men. Gender equality could therefore be a key element of health equity in working life. Our aim was to analyze what gender (inequality means for the employees at a woman-dominated workplace and discuss possible implications for health experiences. Methods All caregiving staff at two workplaces in elder care within a municipality in the north of Sweden were invited to participate in the study. Forty-five employees participated, 38 women and 7 men. Seven focus group discussions were performed and led by a moderator. Qualitative content analysis was used to analyze the focus groups. Results We identified two themes. "Advocating gender equality in principle" showed how gender (inequality was seen as a structural issue not connected to the individual health experiences. "Justifying inequality with individualism" showed how the caregivers focused on personalities and interests as a justification of gender inequalities in work division. The justification of gender inequality resulted in a gendered work division which may be related to health inequalities between women and men. Gender inequalities in work division were primarily understood in terms of personality and interests and not in terms of gender. Conclusion The health experience of the participants was affected by gender (inequality in terms of a gendered work division. However, the participants did not see the gendered work division as a gender equality issue. Gender perspectives are needed to improve the health of the employees at the workplaces through shifting from individual to structural solutions. A healthy-setting approach considering gender relations is needed to achieve gender equality and fairness in health status between women and men.

  11. National income inequality and ineffective health insurance in 35 low- and middle-income countries.

    Science.gov (United States)

    Alvarez, Francisco N; El-Sayed, Abdulrahman M

    2017-05-01

    Global health policy efforts to improve health and reduce financial burden of disease in low- and middle-income countries (LMIC) has fuelled interest in expanding access to health insurance coverage to all, a movement known as Universal Health Coverage (UHC). Ineffective insurance is a measure of failure to achieve the intended outcomes of health insurance among those who nominally have insurance. This study aimed to evaluate the relation between national-level income inequality and the prevalence of ineffective insurance. We used Standardized World Income Inequality Database (SWIID) Gini coefficients for 35 LMICs and World Health Survey (WHS) data about insurance from 2002 to 2004 to fit multivariable regression models of the prevalence of ineffective insurance on national Gini coefficients, adjusting for GDP per capita. Greater inequality predicted higher prevalence of ineffective insurance. When stratifying by individual-level covariates, higher inequality was associated with greater ineffective insurance among sub-groups traditionally considered more privileged: youth, men, higher education, urban residence and the wealthiest quintile. Stratifying by World Bank country income classification, higher inequality was associated with ineffective insurance among upper-middle income countries but not low- or lower-middle income countries. We hypothesize that these associations may be due to the imprint of underlying social inequalities as countries approach decreasing marginal returns on improved health insurance by income. Our findings suggest that beyond national income, income inequality may predict differences in the quality of insurance, with implications for efforts to achieve UHC. © The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  12. [The Ineq-Cities research project on urban health inequalities: knowledge dissemination and transfer in Spain].

    Science.gov (United States)

    Camprubí, Lluís; Díez, Èlia; Morrison, Joana; Borrell, Carme

    2014-01-01

    The Ineq-Cities project analyzed inequalities in mortality in small areas and described interventions to reduce inequalities in health in 16 European cities. This field note describes the dissemination of the project in Spain. In accordance with the recommendations of the project, the objective was to translate relevant results to key stakeholders - mainly technical staff, municipal officers and local social agents - and to provide an introduction to urban inequalities in health and strategies to address them. Twenty-four workshops were given, attended by more than 350 professionals from 92 municipalities. Knowledge dissemination consisted of the publication of a short book on inequalities in health and the approach to this problem in cities and three articles in nonspecialized media, a proposal for a municipal motion, and knowledge dissemination activities in social networks. Users rated these activities highly and stressed the need to systematize these products. This process may have contributed to the inclusion of health inequalities in the political agenda and to the training of officers to correct them. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  13. Health inequity

    DEFF Research Database (Denmark)

    Frausing, Kristian Park; Smærup, Michael; Maibom, Kirsten

    living alone. Social and psychological needs were of primary concern whereas practical needs were of lesser concern. The second study showed older men living alone with no/short education to rate their health significantly worse on almost all items compared to men of higher education. The third study......Background: Being male, living alone and being of low socioeconomic status (SES) are all risk factors for health inequities, including a shorter lifespan. Not much is known, however, about older low-SES men living alone. This study maps their health. Methods: Three studies were conducted. First......, an electronic survey with municipal preventive home visitors nationwide inquiring into their perception of the health and needs of old men living alone. The second study compared older men's self-rated health according to their living arrangements and educational level using data from 29.791 older men from...

  14. Public awareness of income-related health inequalities in Ontario, Canada

    Directory of Open Access Journals (Sweden)

    Shankardass Ketan

    2012-05-01

    Full Text Available Abstract Introduction Continued action is needed to tackle health inequalities in Canada, as those of lower income continue to be at higher risk for a range of negative health outcomes. There is arguably a lack of political will to implement policy change in this respect. As a result, we investigated public awareness of income-related health inequalities in a generally representative sample of Ontarians in late 2010. Methods Data were collected from 2,006 Ontario adults using a telephone survey. The survey asked participants to agree or disagree with various statements asserting that there are or are not health inequalities in general and by income in Ontario, including questions pertaining to nine specific conditions for which inequalities have been described in Ontario. A multi-stage process using binary logistic regression determined whether awareness of health inequalities differed between participant subgroups. Results Almost 73% of this sample of Ontarians agreed with the general premise that not all people are equally healthy in Ontario, but fewer participants were aware of health inequalities between the rich and the poor (53%–64%, depending on the framing of the question. Awareness of income-related inequalities in specific outcomes was considerably lower, ranging from 18% for accidents to 35% for obesity. Conclusions This is the first province-wide study in Canada, and the first in Ontario, to explore public awareness on health inequalities. Given that political will is shaped by public awareness and opinion, these results suggest that greater awareness may be required to move the health equity agenda forward in Ontario. There is a need for health equity advocates, physicians and researchers to increase the effectiveness of knowledge translation activities for studies that identify and explore health inequalities.

  15. The effects of public health policies on population health and health inequalities in European welfare states: protocol for an umbrella review.

    Science.gov (United States)

    Thomson, Katie; Bambra, Clare; McNamara, Courtney; Huijts, Tim; Todd, Adam

    2016-04-08

    The welfare state is potentially an important macro-level determinant of health that also moderates the extent, and impact, of socio-economic inequalities in exposure to the social determinants of health. The welfare state has three main policy domains: health care, social policy (e.g. social transfers and education) and public health policy. This is the protocol for an umbrella review to examine the latter; its aim is to assess how European welfare states influence the social determinants of health inequalities institutionally through public health policies. A systematic review methodology will be used to identify systematic reviews from high-income countries (including additional EU-28 members) that describe the health and health equity effects of upstream public health interventions. Interventions will focus on primary and secondary prevention policies including fiscal measures, regulation, education, preventative treatment and screening across ten public health domains (tobacco; alcohol; food and nutrition; reproductive health services; the control of infectious diseases; screening; mental health; road traffic injuries; air, land and water pollution; and workplace regulations). Twenty databases will be searched using a pre-determined search strategy to evaluate population-level public health interventions. Understanding the impact of specific public health policy interventions will help to establish causality in terms of the effects of welfare states on population health and health inequalities. The review will document contextual information on how population-level public health interventions are organised, implemented and delivered. This information can be used to identify effective interventions that could be implemented to reduce health inequalities between and within European countries. PROSPERO CRD42016025283.

  16. Province-Level Income Inequality and Health Outcomes in Canadian Adolescents

    Science.gov (United States)

    McGrath, Jennifer J.

    2015-01-01

    Objective To examine the effects of provincial income inequality (disparity between rich and poor), independent of provincial income and family socioeconomic status, on multiple adolescent health outcomes. Methods Participants (aged 12–17 years; N = 11,899) were from the Canadian National Longitudinal Survey of Children and Youth. Parental education, household income, province income inequality, and province mean income were measured. Health outcomes were measured across a number of domains, including self-rated health, mental health, health behaviors, substance use behaviors, and physical health. Results Income inequality was associated with injuries, general physical symptoms, and limiting conditions, but not associated with most adolescent health outcomes and behaviors. Income inequality had a moderating effect on family socioeconomic status for limiting conditions, hyperactivity/inattention, and conduct problems, but not for other outcomes. Conclusions Province-level income inequality was associated with some physical and mental health outcomes in adolescents, which has research and policy implications for this age-group. PMID:25324533

  17. Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries.

    Directory of Open Access Journals (Sweden)

    Teresa Leão

    Full Text Available Although socioeconomic inequalities in health have long been observed in Europe, few studies have analysed their recent patterning. In this paper, we examined how educational inequalities in self-reported health have evolved in different European countries and welfare state regimes over the last decade, which was troubled by the Great Recession.We used cross-sectional data from the EU-SILC survey for adults from 26 European countries, from 2005 to 2014 (n = 3,030,595. We first calculated education-related absolute (SII and relative (RII inequalities in poor self-reported health by country-year, adjusting for age, sex, and EU-SILC survey weights. We then regressed the year- and country-specific RII and SII on a yearly time trend, globally and by welfare regime, adjusting for country fixed effects. We further adjusted the analysis for the economic cycle using GDP growth, unemployment, and income inequality.Overall, absolute inequalities persisted and relative inequalities slightly widened (betaRII = 0.0313, p<0.05. There were substantial differences by welfare regime: Anglo-Saxon countries experienced the largest increase in absolute inequalities (betaSII = 0.0032, p<0.05, followed by Bismarkian countries (betaSII = 0.0024, p<0.001, while they reduced in Post-Communist countries (betaSII = -0.0022, p<0.001. Post-Communist countries also experienced a widening in relative inequalities (betaRII = 0.1112, p<0.001, which were found to be stable elsewhere. Adjustment for income inequality only explained such trend in Anglo-Saxon countries.Educational inequalities in health have overall persisted across European countries over the last decade. However, there is considerable variation across welfare regimes, possibly related to underpinning social safety nets and to austerity measures implemented during this 10-year period.

  18. A systematic review of the relationships between social capital and socioeconomic inequalities in health: a contribution to understanding the psychosocial pathway of health inequalities

    Science.gov (United States)

    2013-01-01

    Introduction Recent research on health inequalities moves beyond illustrating the importance of psychosocial factors for health to a more in-depth study of the specific psychosocial pathways involved. Social capital is a concept that captures both a buffer function of the social environment on health, as well as potential negative effects arising from social inequality and exclusion. This systematic review assesses the current evidence, and identifies gaps in knowledge, on the associations and interactions between social capital and socioeconomic inequalities in health. Methods Through this systematic review we identified studies on the interactions between social capital and socioeconomic inequalities in health published before July 2012. Results The literature search resulted in 618 studies after removal of duplicates, of which 60 studies were eligible for analysis. Self-reported measures of health were most frequently used, together with different bonding, bridging and linking components of social capital. A large majority, 56 studies, confirmed a correlation between social capital and socioeconomic inequalities in health. Twelve studies reported that social capital might buffer negative health effects of low socioeconomic status and five studies concluded that social capital has a stronger positive effect on health for people with a lower socioeconomic status. Conclusions There is evidence for both a buffer effect and a dependency effect of social capital on socioeconomic inequalities in health, although the studies that assess these interactions are limited in number. More evidence is needed, as identified hypotheses have implications for community action and for action on the structural causes of social inequalities. PMID:23870068

  19. Inequalities in Health Services Usage in a National Health System Scheme: The Case of a Southern Social European Region.

    Science.gov (United States)

    Morteruel, Maite; Rodriguez-Alvarez, Elena; Martin, Unai; Bacigalupe, Amaia

    Health services can reduce inequalities caused by other determinants of health or increase them due to the effect of the inverse care law-the principle that the availability of good quality care tends to vary inversely with the need for it in the population served. The purpose of the research was to describe inequalities in the use of nursing services, medical services in primary care, specialist care, and services not fully covered by the Basque public health system in Spain. A cross-sectional study of adults aged at least 25 years who completed the 2013 Basque Health Survey (N = 10,454) was conducted. Age-standardized prevalence and prevalence ratios for use of services that are covered and noncovered in the health system were computed. The association of health services usage with socioeconomic variables was estimated using a Poisson regression model with robust variance. The relative index of inequality (RII) was used to measure the magnitude of socioeconomic status inequalities in health service use. All analyses were carried out separately for men and women. Individuals with lower socioeconomic status were more likely to use primary care (RII = 0.87, 95% CI [0.79, 0.97]) and less likely to use specialist services (RII = 0.82, 95% CI [0.75, 0.89]). Across noncovered health services, inequalities between the highest and lowest social groups were significant in all cases and especially marked in men's use of physiotherapists (RII = 0.46, 95% CI [0.35, 0.61]) and podiatrists (RII = 0.24, 95%CI [0.15, 0.38]). There are significant inequalities in primary and specialist health service use based on individual socioeconomic status, particularly for services that are not provided free of charge within the existing health system. This suggests that health service systems that are not explicitly designed to provide universal access may actually amplify preexisting social and health inequalities within their target populations.

  20. Rethinking the health selection explanation for health inequalities.

    Science.gov (United States)

    West, P

    1991-01-01

    As one of several explanations for class differentials in health, health selection has received remarkably little systematic attention in the inequalities debate. It is widely regarded as having (at best) a very minor role in the production of inequalities, and a theoretical debt to social Darwinism. This paper examines the validity of those assumptions in terms of the evidence which has emerged since the publication of the 'Black Report'. It is suggested that it is too easy to write off health selection as of little or no significance, and that reconceptualising the issue within a specifically sociological perspective owing much to labelling theory offers much greater potential for understanding the processes involved. From this perspective, health selection has many of the features of discrimination of the sort that characterises race and sex.

  1. Inequalities in oral health: Understanding the contributions of education and income.

    Science.gov (United States)

    Farmer, Julie; Phillips, Rebecca C; Singhal, Sonica; Quiñonez, Carlos

    2017-09-14

    To quantify the extent to which income and education explain gradients in oral health outcomes. Using data from the Canadian Community Health Survey (CCHS 2003), binary logistic regression models were constructed to examine the relationship between income and education on self-reported oral health (SROH) and chewing difficulties (CD) while controlling for age, sex, ethnicity, employment status and dental insurance coverage. The relative index of inequality (RII) was utilized to quantify the extent to which income and education explain gradients in poor SROH and CD. Income and education gradients were present for SROH and CD. From fully adjusted models, income inequalities were greater for CD (RIIinc = 2.85) than for SROH (RIIinc = 2.75), with no substantial difference in education inequalities between the two. Income explained 37.4% and 42.4% of the education gradient in SROH and CD respectively, whereas education explained 45.2% and 6.1% of income gradients in SROH and CD respectively. Education appears to play a larger role than income when explaining inequalities in SROH; however, it is the opposite for CD. In this sample of the Canadian adult population, income explained over one third of the education gradient in SROH and CDs, whereas the contribution of education to income gradients varied by choice of self-reported outcome. Results call for stakeholders to improve affordability of dental care in order to reduce inequalities in the Canadian population.

  2. Health, Health Inequality, and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand.

    Directory of Open Access Journals (Sweden)

    Tony Blakely

    2015-07-01

    Full Text Available Countries are increasingly considering how to reduce or even end tobacco consumption, and raising tobacco taxes is a potential strategy to achieve these goals. We estimated the impacts on health, health inequalities, and health system costs of ongoing tobacco tax increases (10% annually from 2011 to 2031, compared to no tax increases from 2011 ["business as usual," BAU], in a country (New Zealand with large ethnic inequalities in smoking-related and noncommunicable disease (NCD burden.We modeled 16 tobacco-related diseases in parallel, using rich national data by sex, age, and ethnicity, to estimate undiscounted quality-adjusted life-years (QALYs gained and net health system costs over the remaining life of the 2011 population (n = 4.4 million. A total of 260,000 (95% uncertainty interval [UI]: 155,000-419,000 QALYs were gained among the 2011 cohort exposed to annual tobacco tax increases, compared to BAU, and cost savings were US$2,550 million (95% UI: US$1,480 to US$4,000. QALY gains and cost savings took 50 y to peak, owing to such factors as the price sensitivity of youth and young adult smokers. The QALY gains per capita were 3.7 times greater for Māori (indigenous population compared to non-Māori because of higher background smoking prevalence and price sensitivity in Māori. Health inequalities measured by differences in 45+ y-old standardized mortality rates between Māori and non-Māori were projected to be 2.31% (95% UI: 1.49% to 3.41% less in 2041 with ongoing tax rises, compared to BAU. Percentage reductions in inequalities in 2041 were maximal for 45-64-y-old women (3.01%. As with all such modeling, there were limitations pertaining to the model structure and input parameters.Ongoing tobacco tax increases deliver sizeable health gains and health sector cost savings and are likely to reduce health inequalities. However, if policy makers are to achieve more rapid reductions in the NCD burden and health inequalities, they will also

  3. Health, Health Inequality, and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand

    Science.gov (United States)

    Blakely, Tony; Cobiac, Linda J.; Cleghorn, Christine L.; Pearson, Amber L.; van der Deen, Frederieke S.; Kvizhinadze, Giorgi; Nghiem, Nhung; McLeod, Melissa; Wilson, Nick

    2015-01-01

    Background Countries are increasingly considering how to reduce or even end tobacco consumption, and raising tobacco taxes is a potential strategy to achieve these goals. We estimated the impacts on health, health inequalities, and health system costs of ongoing tobacco tax increases (10% annually from 2011 to 2031, compared to no tax increases from 2011 [“business as usual,” BAU]), in a country (New Zealand) with large ethnic inequalities in smoking-related and noncommunicable disease (NCD) burden. Methods and Findings We modeled 16 tobacco-related diseases in parallel, using rich national data by sex, age, and ethnicity, to estimate undiscounted quality-adjusted life-years (QALYs) gained and net health system costs over the remaining life of the 2011 population (n = 4.4 million). A total of 260,000 (95% uncertainty interval [UI]: 155,000–419,000) QALYs were gained among the 2011 cohort exposed to annual tobacco tax increases, compared to BAU, and cost savings were US$2,550 million (95% UI: US$1,480 to US$4,000). QALY gains and cost savings took 50 y to peak, owing to such factors as the price sensitivity of youth and young adult smokers. The QALY gains per capita were 3.7 times greater for Māori (indigenous population) compared to non-Māori because of higher background smoking prevalence and price sensitivity in Māori. Health inequalities measured by differences in 45+ y-old standardized mortality rates between Māori and non-Māori were projected to be 2.31% (95% UI: 1.49% to 3.41%) less in 2041 with ongoing tax rises, compared to BAU. Percentage reductions in inequalities in 2041 were maximal for 45–64-y-old women (3.01%). As with all such modeling, there were limitations pertaining to the model structure and input parameters. Conclusions Ongoing tobacco tax increases deliver sizeable health gains and health sector cost savings and are likely to reduce health inequalities. However, if policy makers are to achieve more rapid reductions in the NCD

  4. Changes in income inequality and the health of immigrants.

    Science.gov (United States)

    Hamilton, Tod G; Kawachi, Ichiro

    2013-03-01

    Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married. Copyright © 2012. Published by Elsevier Ltd.

  5. Rising inequalities in income and health in China: who is left behind?

    Science.gov (United States)

    Baeten, Steef; Van Ourti, Tom; van Doorslaer, Eddy

    2013-12-01

    In recent decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition approach using the China Health and Nutrition Survey (1991-2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers for reducing health disparities between rich and poor Chinese. Copyright © 2013 Elsevier B.V. All rights reserved.

  6. Income-related inequality in health and health-related behaviour: exploring the equalisation hypothesis.

    Science.gov (United States)

    Vallejo-Torres, Laura; Hale, Daniel; Morris, Stephen; Viner, Russell M

    2014-07-01

    Previous studies have found the socioeconomic gradient in health among adolescents to be lower than that observed during childhood and adulthood. The aim of this study was to examine income-related inequalities in health and health-related behaviour across the lifespan in England to explore 'equalisation' in adolescence. We used five years of data (2006-2010) from the Health Survey for England to explore inequalities in six indicators: self-assessed general health, longstanding illness, limiting longstanding illness, psychosocial wellbeing, obesity and smoking status. We ran separate analyses by age/gender groups. Inequality was measured using concentration indices. Our findings for longstanding illnesses, psychosocial wellbeing and obesity were consistent with the equalisation hypothesis. For these indicators, the extent of income-related inequality was lower among late adolescents (16-19 years) and young adults (20-24 years) compared to children and young adolescents (under 15 years), mid- and late-adults (25-44 and 45-64 years) and the elderly (65+ years). The remaining indicators showed lower inequality among adolescents compared to adults, but higher inequality when compared with children. Our work shows that inequalities occur across the life-course but that for some health issues there may be a period of equalisation in late adolescence and early adulthood. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  7. Multilevel survival analysis of health inequalities in life expectancy

    Directory of Open Access Journals (Sweden)

    Merlo Juan

    2009-08-01

    Full Text Available Abstract Background The health status of individuals is determined by multiple factors operating at both micro and macro levels and the interactive effects of them. Measures of health inequalities should reflect such determinants explicitly through sources of levels and combining mean differences at group levels and the variation of individuals, for the benefits of decision making and intervention planning. Measures derived recently from marginal models such as beta-binomial and frailty survival, address this issue to some extent, but are limited in handling data with complex structures. Beta-binomial models were also limited in relation to measuring inequalities of life expectancy (LE directly. Methods We propose a multilevel survival model analysis that estimates life expectancy based on survival time with censored data. The model explicitly disentangles total health inequalities in terms of variance components of life expectancy compared to the source of variation at the level of individuals in households and parishes and so on, and estimates group differences of inequalities at the same time. Adjusted distributions of life expectancy by gender and by household socioeconomic level are calculated. Relative and absolute health inequality indices are derived based on model estimates. The model based analysis is illustrated on a large Swedish cohort of 22,680 men and 26,474 women aged 65–69 in 1970 and followed up for 30 years. Model based inequality measures are compared to the conventional calculations. Results Much variation of life expectancy is observed at individual and household levels. Contextual effects at Parish and Municipality level are negligible. Women have longer life expectancy than men and lower inequality. There is marked inequality by the level of household socioeconomic status measured by the median life expectancy in each socio-economic group and the variation in life expectancy within each group. Conclusion Multilevel

  8. Absolute and Relative Socioeconomic Health Inequalities across Age Groups

    NARCIS (Netherlands)

    van Zon, Sander K. R.; Bultmann, Ute; de Leon, Carlos F. Mendes; Reijneveld, Sijmen A.

    2015-01-01

    Background The magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of

  9. A comparison of health inequalities in urban and rural Scotland.

    Science.gov (United States)

    Levin, Kate A; Leyland, Alastair H

    2006-03-01

    Previous research suggests that there are significant differences in health between urban and rural areas. Health inequalities between the deprived and affluent in Scotland have been rising over time. The aim of this study was to examine health inequalities between deprived and affluent areas of Scotland for differing ruralities and look at how these have changed over time. Postcode sectors in Scotland were ranked by deprivation and the 20% most affluent and 20% most deprived areas were found using the Carstairs indicator and male unemployment. Scotland was then split into 4 rurality types. Ratios of health status between the most deprived and most affluent areas were investigated using all cause mortality for the Scottish population, 1979-2001. These were calculated over time for 1979-1983, 1989-1993, 1998-2001. Multilevel Poisson modelling was carried out for all of Scotland excluding Grampian to assess inequalities in the population. There was an increase in inequalities between 1981 and 2001, which was greatest in remote rural Scotland for both males and females; however, male health inequalities remained higher in urban areas throughout this period. In 2001 female health inequalities were higher in remote rural areas than urban areas. Health inequalities amongst the elderly (age 65+) in 2001 were greater in remote rural Scotland than urban areas for both males and females.

  10. Inequalities in South African health care: Part I. The problem ...

    African Journals Online (AJOL)

    This exposition analyses and contextualises the complex problem of structural inequality in South African health care. Socio-econornic conditions, racial divisions and geographical location are isolated as the main determinants of inequality in the provision, allocation and distribution of health care; the prevailing inequalities ...

  11. Health-income inequality: the effects of the Icelandic economic collapse

    Science.gov (United States)

    2014-01-01

    Introduction Health-income inequality has been the focus of many studies. The relationship between economic conditions and health has also been widely studied. However, not much is known about how changes in aggregate economic conditions relate to health-income inequality. Nevertheless, such knowledge would have both scientific and practical value as substantial public expenditures are used to decrease such inequalities and opportunities to do so may differ over the business cycle. For this reason we examine the effect of the Icelandic economic collapse in 2008 on health-income inequality. Methods The data used come from a health and lifestyle survey carried out by the Public Health Institute of Iceland in 2007 and 2009. A stratified random sample of 9,807 individuals 18–79 years old received questionnaires and a total of 42.1% answered in both years. As measures of health-income inequality, health-income concentration indices are calculated and decomposed into individual-level determinants. Self-assessed health is used as the health measure in the analyses, but three different measures of income are used: individual income, household income, and equivalized household income. Results In both years there is evidence of health-income inequality favoring the better off. However, changes are apparent between years. For males health-income inequality increases after the crisis while it remains fairly stable for females or slightly decreases. The decomposition analyses show that income itself and disability constitute the most substantial determinants of inequality. The largest increases in contributions between years for males come from being a student, having low education and being obese, as well as age and income but those changes are sensitive to the income measure used. Conclusions Changes in health and income over the business cycle can differ across socioeconomic strata, resulting in cyclicality of income-related health distributions. As substantial fiscal

  12. Health-income inequality: the effects of the Icelandic economic collapse.

    Science.gov (United States)

    Asgeirsdóttir, Tinna Laufey; Ragnarsdóttir, Dagný Osk

    2014-07-25

    Health-income inequality has been the focus of many studies. The relationship between economic conditions and health has also been widely studied. However, not much is known about how changes in aggregate economic conditions relate to health-income inequality. Nevertheless, such knowledge would have both scientific and practical value as substantial public expenditures are used to decrease such inequalities and opportunities to do so may differ over the business cycle. For this reason we examine the effect of the Icelandic economic collapse in 2008 on health-income inequality. The data used come from a health and lifestyle survey carried out by the Public Health Institute of Iceland in 2007 and 2009. A stratified random sample of 9,807 individuals 18-79 years old received questionnaires and a total of 42.1% answered in both years. As measures of health-income inequality, health-income concentration indices are calculated and decomposed into individual-level determinants. Self-assessed health is used as the health measure in the analyses, but three different measures of income are used: individual income, household income, and equivalized household income. In both years there is evidence of health-income inequality favoring the better off. However, changes are apparent between years. For males health-income inequality increases after the crisis while it remains fairly stable for females or slightly decreases. The decomposition analyses show that income itself and disability constitute the most substantial determinants of inequality. The largest increases in contributions between years for males come from being a student, having low education and being obese, as well as age and income but those changes are sensitive to the income measure used. Changes in health and income over the business cycle can differ across socioeconomic strata, resulting in cyclicality of income-related health distributions. As substantial fiscal expenditures go to limiting the relationship

  13. Psychosocial work exposures among European employees: explanations for occupational inequalities in mental health.

    Science.gov (United States)

    Schütte, Stefanie; Chastang, Jean-François; Parent-Thirion, Agnès; Vermeylen, Greet; Niedhammer, Isabelle

    2015-09-01

    Social inequalities in mental health have been demonstrated but understanding the mechanisms remains unclear. This study aims at exploring the role of psychosocial work factors in explaining occupational inequalities in mental health among European employees. The study sample covered 33,443 employees coming from the European Working Conditions Survey 2010. Mental health was measured by the WHO-5 well-being index and socioeconomic position by occupation. Twenty-five psychosocial work factors were constructed including job demands, job influence and development, role stressors, social support, quality of leadership, discrimination, violence at work, working hours, job promotion, job insecurity and work-life imbalance. Multilevel linear regressions and bootstrap analyses were performed. Occupational differences were observed for poor mental health and almost all psychosocial work factors. Factors related to job demands, influence and development at work, social relationships and leadership, working hours and other factors contributed to explain the occupational inequalities in mental health. In particular, factors related to influence and development contributed substantially. Among men, workplace violences were found to contribute little whereas among women these factors did not play a role. Future prevention interventions should have a broad and comprehensive focus in order to reduce social inequalities in mental health. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  14. Province-level income inequality and health outcomes in Canadian adolescents.

    Science.gov (United States)

    Quon, Elizabeth C; McGrath, Jennifer J

    2015-03-01

    To examine the effects of provincial income inequality (disparity between rich and poor), independent of provincial income and family socioeconomic status, on multiple adolescent health outcomes. Participants (aged 12-17 years; N = 11,899) were from the Canadian National Longitudinal Survey of Children and Youth. Parental education, household income, province income inequality, and province mean income were measured. Health outcomes were measured across a number of domains, including self-rated health, mental health, health behaviors, substance use behaviors, and physical health. Income inequality was associated with injuries, general physical symptoms, and limiting conditions, but not associated with most adolescent health outcomes and behaviors. Income inequality had a moderating effect on family socioeconomic status for limiting conditions, hyperactivity/inattention, and conduct problems, but not for other outcomes. Province-level income inequality was associated with some physical and mental health outcomes in adolescents, which has research and policy implications for this age-group. © The Author 2014. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  15. Income inequality and health in China: A panel data analysis.

    Science.gov (United States)

    Bakkeli, Nan Zou

    2016-05-01

    During the last decades, the level of income inequality in China has increased dramatically. Despite rapid economic growth and improved living conditions, the health performance in China has dropped compared to the period before the economic reform. The "Wilkinson hypothesis" suggests that increased income inequality in a society is correlated to worse health performance. China is a particular interesting case due to the rapid socioeconomic change in the country. This study uses the China Health and Nutrition Survey (CHNS) to address the question of whether income inequality has an impact on individuals' risks of having health problems in China. Unlike previous studies with health measures such as self-reported health or mortality rate, our study uses physical functions to measure individual health. By analysing panel data using county/city-level dummies and year fixed-effects, we found that income inequality does not have a significant impact on individuals' risks of having health problems. This result is robust when changing between different indicators for income inequality. Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Oral Health Inequalities between Rural and Urban Populations of the African and Middle East Region.

    Science.gov (United States)

    Ogunbodede, E O; Kida, I A; Madjapa, H S; Amedari, M; Ehizele, A; Mutave, R; Sodipo, B; Temilola, S; Okoye, L

    2015-07-01

    Although there have been major improvements in oral health, with remarkable advances in the prevention and management of oral diseases, globally, inequalities persist between urban and rural communities. These inequalities exist in the distribution of oral health services, accessibility, utilization, treatment outcomes, oral health knowledge and practices, health insurance coverage, oral health-related quality of life, and prevalence of oral diseases, among others. People living in rural areas are likely to be poorer, be less health literate, have more caries, have fewer teeth, have no health insurance coverage, and have less money to spend on dental care than persons living in urban areas. Rural areas are often associated with lower education levels, which in turn have been found to be related to lower levels of health literacy and poor use of health care services. These factors have an impact on oral health care, service delivery, and research. Hence, unmet dental care remains one of the most urgent health care needs in these communities. We highlight some of the conceptual issues relating to urban-rural inequalities in oral health, especially in the African and Middle East Region (AMER). Actions to reduce oral health inequalities and ameliorate rural-urban disparity are necessary both within the health sector and the wider policy environment. Recommended actions include population-specific oral health promotion programs, measures aimed at increasing access to oral health services in rural areas, integration of oral health into existing primary health care services, and support for research aimed at informing policy on the social determinants of health. Concerted efforts must be made by all stakeholders (governments, health care workforce, organizations, and communities) to reduce disparities and improve oral health outcomes in underserved populations. © International & American Associations for Dental Research 2015.

  17. Summarizing health inequalities in a Balanced Scorecard. Methodological considerations.

    Science.gov (United States)

    Auger, Nathalie; Raynault, Marie-France

    2006-01-01

    The association between social determinants and health inequalities is well recognized. What are now needed are tools to assist in disseminating such information. This article describes how the Balanced Scorecard may be used for summarizing data on health inequalities. The process begins by selecting appropriate social groups and indicators, and is followed by the measurement of differences across person, place, or time. The next step is to decide whether to focus on absolute versus relative inequality. The last step is to determine the scoring method, including whether to address issues of depth of inequality.

  18. Health impacts of climate change and health and social inequalities in the UK.

    Science.gov (United States)

    Paavola, Jouni

    2017-12-05

    This article examines how social and health inequalities shape the health impacts of climate change in the UK, and what the implications are for climate change adaptation and health care provision. The evidence generated by the other articles of the special issue were interpreted using social justice reasoning in light of additional literature, to draw out the key implications of health and social inequalities for health outcomes of climate change. Exposure to heat and cold, air pollution, pollen, food safety risks, disruptions to access to and functioning of health services and facilities, emerging infections and flooding are examined as the key impacts of climate change influencing health outcomes. Age, pre-existing medical conditions and social deprivation are found to be the key (but not only) factors that make people vulnerable and to experience more adverse health outcomes related to climate change impacts. In the future, climate change, aging population and decreasing public spending on health and social care may aggravate inequality of health outcomes related to climate change. Health education and public preparedness measures that take into account differential exposure, sensitivity and adaptive capacity of different groups help address health and social inequalities to do with climate change. Adaptation strategies based on individual preparedness, action and behaviour change may aggravate health and social inequalities due to their selective uptake, unless they are coupled with broad public information campaigns and financial support for undertaking adaptive measures.

  19. Can Tobacco Control Be Transformative? Reducing Gender Inequity and Tobacco Use among Vulnerable Populations

    Science.gov (United States)

    Greaves, Lorraine

    2014-01-01

    Tobacco use and exposure is unequally distributed across populations and countries and among women and men. These trends and patterns reflect and cause gender and economic inequities along with negative health impacts. Despite a commitment to gender analysis in the preamble to Framework Convention on Tobacco Control there is much yet to be done to fully understand how gender operates in tobacco control. Policies, program and research in tobacco control need to not only integrate gender, but rather operationalize gender with the goal of transforming gender and social inequities in the course of tobacco control initiatives. Gender transformative tobacco control goes beyond gender sensitive efforts and challenges policy and program developers to apply gender theory in designing their initiatives, with the goal of changing negative gender and social norms and improving social, economic, health and social indicators along with tobacco reduction. This paper outlines what is needed to progress tobacco control in enhancing the status of gendered and vulnerable groups, with a view to reducing gender and social inequities due to tobacco use and exposure. PMID:24402065

  20. Measuring total health inequality: adding individual variation to group-level differences

    Directory of Open Access Journals (Sweden)

    Gakidou Emmanuela

    2002-08-01

    Full Text Available Abstract Background Studies have revealed large variations in average health status across social, economic, and other groups. No study exists on the distribution of the risk of ill-health across individuals, either within groups or across all people in a society, and as such a crucial piece of total health inequality has been overlooked. Some of the reason for this neglect has been that the risk of death, which forms the basis for most measures, is impossible to observe directly and difficult to estimate. Methods We develop a measure of total health inequality – encompassing all inequalities among people in a society, including variation between and within groups – by adapting a beta-binomial regression model. We apply it to children under age two in 50 low- and middle-income countries. Our method has been adopted by the World Health Organization and is being implemented in surveys around the world; preliminary estimates have appeared in the World Health Report (2000. Results Countries with similar average child mortality differ considerably in total health inequality. Liberia and Mozambique have the largest inequalities in child survival, while Colombia, the Philippines and Kazakhstan have the lowest levels among the countries measured. Conclusions Total health inequality estimates should be routinely reported alongside average levels of health in populations and groups, as they reveal important policy-related information not otherwise knowable. This approach enables meaningful comparisons of inequality across countries and future analyses of the determinants of inequality.

  1. Papers produced from the Health Inequalities Audit Process for DG Sante at European Commission

    DEFF Research Database (Denmark)

    Robertson, Aileen

    2014-01-01

    As health and social inequalities appear to be increasing within and between EU countries, the Council of the European Union encourages Member States to create and promote policies, strategies, and initiatives that support a healthy lifestyle throughout the life-course. Promoting and supporting...... countries. If these disaggregated data are readily available, they can provide a useful basis to investigate which interventions can best reduce social inequalities in maternal and young child health by helping us to understand what is needed to improve poor infant feeding practices....

  2. Socioeconomic inequalities in dental health services in Sao Paulo, Brazil, 2003-2008.

    Science.gov (United States)

    Monteiro, Camila Nascimento; Beenackers, Mariëlle A; Goldbaum, Moisés; de Azevedo Barros, Marilisa Berti; Gianini, Reinaldo José; Cesar, Chester Luiz Galvão; Mackenbach, Johan P

    2016-12-07

    Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the "Smiling Brazil" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in São Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them.

  3. Capacity building for health inequality monitoring in Indonesia: enhancing the equity orientation of country health information system.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Nambiar, Devaki; Tawilah, Jihane; Schlotheuber, Anne; Briot, Benedicte; Bateman, Massee; Davey, Tamzyn; Kusumawardani, Nunik; Myint, Theingi; Nuryetty, Mariet Tetty; Prasetyo, Sabarinah; Suparmi; Floranita, Rustini

    Inequalities in health represent a major problem in many countries, including Indonesia. Addressing health inequality is a central component of the Sustainable Development Goals and a priority of the World Health Organization (WHO). WHO provides technical support for health inequality monitoring among its member states. Following a capacity-building workshop in the WHO South-East Asia Region in 2014, Indonesia expressed interest in incorporating health-inequality monitoring into its national health information system. This article details the capacity-building process for national health inequality monitoring in Indonesia, discusses successes and challenges, and how this process may be adapted and implemented in other countries/settings. We outline key capacity-building activities undertaken between April 2016 and December 2017 in Indonesia and present the four key outcomes of this process. The capacity-building process entailed a series of workshops, meetings, activities, and processes undertaken between April 2016 and December 2017. At each stage, a range of stakeholders with access to the relevant data and capacity for data analysis, interpretation and reporting was engaged with, under the stewardship of state agencies. Key steps to strengthening health inequality monitoring included capacity building in (1) identification of the health topics/areas of interest, (2) mapping data sources and identifying gaps, (3) conducting equity analyses using raw datasets, and (4) interpreting and reporting inequality results. As a result, Indonesia developed its first national report on the state of health inequality. A number of peer-reviewed manuscripts on various aspects of health inequality in Indonesia have also been developed. The capacity-building process undertaken in Indonesia is designed to be adaptable to other contexts. Capacity building for health inequality monitoring among countries is a critical step for strengthening equity-oriented national health

  4. Structural racism in the workplace: Does perception matter for health inequalities?

    Science.gov (United States)

    McCluney, Courtney L; Schmitz, Lauren L; Hicken, Margaret T; Sonnega, Amanda

    2018-02-01

    Structural racism has been linked to racial health inequalities and may operate through an unequal labor market that results in inequalities in psychosocial workplace environments (PWE). Experiences of the PWE may be a critical but understudied source of racial health disparities as most adults spend a large portion of their lives in the workplace, and work-related stress affects health outcomes. Further, it is not clear if the objective characteristics of the workplace are important for health inequalities or if these inequalities are driven by the perception of the workplace. Using data from the 2008 to 2012 waves of the Health and Retirement Study (HRS), a probability-based sample of US adults 50 years of age and older and the Department of Labor's Occupational Information Network (O*NET), we examine the role of both standardized, objective (O*NET) and survey-based, subjective (as in HRS) measures of PWEs on health and Black-White health inequalities. We find that Blacks experience more stressful PWEs and have poorer health as measured by self-rated health, episodic memory function, and mean arterial pressure. Mediation analyses suggest that these objective O*NET ratings, but not the subjective perceptions, partially explain the relationship between race and health. We discuss these results within the extant literature on workplace and health and health inequalities. Furthermore, we discuss the use of standardized objective measures of the PWE to capture racial inequalities in workplace environment. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Health trends in the wake of the financial crisis-increasing inequalities?

    Science.gov (United States)

    Nelson, Kenneth; Tøge, Anne Grete

    2017-08-01

    The financial crisis that hit Europe in 2007-2008 and the corresponding austerity policies have generated concern about increasing health inequalities, although impacts have been less salient than initially expected. One explanation could be that health inequalities emerged first a few years into the crisis. This study investigates health trends in the wake of the financial crisis and analyses health inequalities across a number of relevant population subgroups, including those defined by employment status, age, family type, gender, and educational attainment. This study uses individual-level panel data (EU-SILC, 2010-2013) to investigate trends in self-rated health. By applying individual fixed effects regression models, the study estimates the average yearly change in self-rated health for persons aged 15-64 years in 28 European countries. Health inequalities are investigated using stratified analyses. Unemployed respondents, particularly those who were unemployed in all years of observation, had a steeper decline in self-rated health than the employed. Respondents of prime working age (25-54 years) had a steeper decline than their younger (15-24) and older (55-64) counterparts, while single parents had a more favorable trend in self-rated health than dual parents. We did not observe any increasing health inequalities based on gender or educational attainment. Health inequalities increased in the wake of the financial crisis, especially those associated with employment status, age, and family type. We did not observe increasing health inequalities in terms of levels of educational attainment and gender.

  6. Socioeconomic inequalities in oral health in different European welfare state regimes.

    Science.gov (United States)

    Guarnizo-Herreño, Carol C; Watt, Richard G; Pikhart, Hynek; Sheiham, Aubrey; Tsakos, Georgios

    2013-09-01

    There is very little information about the relationship between welfare regimes and oral health inequalities. We compared socioeconomic inequalities in adults' oral health in five European welfare-state regimes: Scandinavian, Anglo-Saxon, Bismarckian, Southern and Eastern. Using data from the oral health module of the Eurobarometer 72.3 survey, we assessed inequalities in two self-reported oral health measures: no functional dentition (less than 20 natural teeth) and edentulousness (no natural teeth). Occupational social class, education and subjective social status (SSS) were included as socioeconomic position indicators. We estimated age-standardised prevalence rates, ORs, the Relative Index of Inequality (RII) and the Slope Index of Inequality (SII). The Scandinavian regime showed the lowest prevalence rates of the two oral health measures while the Eastern showed the highest. In all welfare regimes there was a general pattern of social gradients by occupational social class and education. Relative educational inequalities in no functional dentition were largest in the Scandinavian welfare regime (RII=3.81; 95% CI 2.68 to 5.42). The Scandinavian and Southern regimes showed the largest relative inequalities in edentulousness by occupation and education, respectively. There were larger absolute inequalities in no functional dentition in the Eastern regime by occupation (SII=42.16; 95% CI 31.42 to 52.89) and in the Southern by SSS (SII=27.92; 95% CI 17.36 to 38.47). Oral health inequalities in adults exist in all welfare-state regimes, but contrary to what may be expected from theory, they are not smaller in the Scandinavian regime. Future work should examine the potential mechanisms linking welfare provision and oral health inequalities.

  7. Gender (in)equality among employees in elder care: implications for health.

    Science.gov (United States)

    Elwér, Sofia; Aléx, Lena; Hammarström, Anne

    2012-01-04

    Gendered practices of working life create gender inequalities through horizontal and vertical gender segregation in work, which may lead to inequalities in health between women and men. Gender equality could therefore be a key element of health equity in working life. Our aim was to analyze what gender (in)equality means for the employees at a woman-dominated workplace and discuss possible implications for health experiences. All caregiving staff at two workplaces in elder care within a municipality in the north of Sweden were invited to participate in the study. Forty-five employees participated, 38 women and 7 men. Seven focus group discussions were performed and led by a moderator. Qualitative content analysis was used to analyze the focus groups. We identified two themes. "Advocating gender equality in principle" showed how gender (in)equality was seen as a structural issue not connected to the individual health experiences. "Justifying inequality with individualism" showed how the caregivers focused on personalities and interests as a justification of gender inequalities in work division. The justification of gender inequality resulted in a gendered work division which may be related to health inequalities between women and men. Gender inequalities in work division were primarily understood in terms of personality and interests and not in terms of gender. The health experience of the participants was affected by gender (in)equality in terms of a gendered work division. However, the participants did not see the gendered work division as a gender equality issue. Gender perspectives are needed to improve the health of the employees at the workplaces through shifting from individual to structural solutions. A healthy-setting approach considering gender relations is needed to achieve gender equality and fairness in health status between women and men.

  8. Postneoliberal Public Health Care Reforms: Neoliberalism, Social Medicine, and Persistent Health Inequalities in Latin America.

    Science.gov (United States)

    Hartmann, Christopher

    2016-12-01

    Several Latin American countries are implementing a suite of so-called "postneoliberal" social and political economic policies to counter neoliberal models that emerged in the 1980s. This article considers the influence of postneoliberalism on public health discourses, policies, institutions, and practices in Bolivia, Ecuador, and Venezuela. Social medicine and neoliberal public health models are antecedents of postneoliberal public health care models. Postneoliberal public health governance models neither fully incorporate social medicine nor completely reject neoliberal models. Postneoliberal reforms may provide an alternative means of reducing health inequalities and improving population health.

  9. The political context of social inequalities and health.

    Science.gov (United States)

    Navarro, V; Shi, L

    2001-01-01

    This analysis reflects on the importance of political parties, and the policies they implement when in government, in determining the level of equalities/inequalities in a society, the extent of the welfare state (including the level of health care coverage by the state), the employment/unemployment rate, and the level of population health. The study looks at the impact of the major political traditions in the advanced OECD countries during the golden years of capitalism (1945-1980)--social democratic, Christian democratic, liberal, and ex-fascist--in four areas: (1) the main determinants of income inequalities; (2) levels of public expenditures and health care benefits coverage; (3) public support of services to families; and (4) the level of population health as measured by infant mortality. The results indicate that political traditions more committed to redistributive policies (both economic and social) and full-employment policies, such as the social democratic parties, were generally more successful in improving the health of populations. The erroneous assumption of a conflict between social equity and economic efficiency is also discussed. The study aims at filling a void in the growing health and social inequalities literature, which rarely touches on the importance of political forces in influencing inequalities.

  10. Gender inequality: Bad for men's health

    African Journals Online (AJOL)

    2013-03-02

    Mar 2, 2013 ... have attributed this risk to men's poorer health-seeking behaviour, which may prevent them from accessing ART, being ... Gender inequality: Bad for men's health ..... New York: United Nations Development Programme, 2005.

  11. Political power and health inequalities in Vieques, Puerto Rico.

    Science.gov (United States)

    Medina, Catherine K; Pellegrini, Lawrence C; Mogro-Wilson, Cristina

    2014-01-01

    The relationship between political power and the various pathways to health inequalities in Vieques, Puerto Rico, is explored. The U.S. Navy used the island for 62 years for bombing and other military exercises. The article focuses on the resulting changes to the island's socioeconomic positioning and the health inequalities over six decades. Secondary data analysis of census data using a revised World Health Organization model is used to examine the relationships of political power, labor markets, employment, material deprivation, social and family networks, and health inequalities. Findings are interpreted through a social justice lens and implications suggest the use of political advocacy for social change.

  12. Inequalities in multiple health outcomes by education, sex, and race in 93 US counties: why we should measure them all.

    Science.gov (United States)

    Asada, Yukiko; Whipp, Alyce; Kindig, David; Billard, Beverly; Rudolph, Barbara

    2014-06-13

    Regular reporting of health inequalities is essential to monitoring progress of efforts to reduce health inequalities. While reporting of population health became increasingly common, reporting of a subpopulation group breakdown of each indicator of the health of the population is rarely a standard practice. This study reports education-, sex-, and race-related inequalities in four health outcomes in each of the selected 93 counties in the United States in a systematic and comparable manner. This study is a cross-sectional analysis of large, publicly available data, 2008, 2009, and 2010 Behavioral Risk Factor Surveillance System (BRFSS) Selected Metropolitan/Micropolitan Area Risk Trends (SMART) and 2008, 2009, and 2010 United States Birth Records from the National Vital Statistics System. The study population is American adults older than 25 years of age residing in the selected 93 counties, representing about 30% of the US population, roughly equally covering all geographic regions of the country. Main outcome measures are: (1) Attribute (group characteristic)-specific inequality: education-, sex-, or race-specific inequality in each of the four health outcomes (poor or fair health, poor physical health days, poor mental health days, and low birthweight) in each county; (2) Overall inequality: the average of these three attribute-specific inequalities for each health outcome in each county; and (3) Summary inequality in total morbidity: the weighted average of the overall inequalities across the four health outcomes in each county. The range of inequality across the counties differed considerably by health outcome; inequality in poor or fair health had the widest range and the highest median among inequalities in all health outcomes. In more than 70% of the counties, education-specific inequality was the largest in all health outcomes except for low birthweight. It is feasible to extend population health reporting to include reporting of a subpopulation group

  13. Analysing changes of health inequalities in the Nordic welfare states

    DEFF Research Database (Denmark)

    Lahelma, Eero; Kivelä, Katariina; Roos, Eva

    2002-01-01

    -standing illness and perceived health were analysed by age, gender, employment status and educational attainment. First, age-adjusted overall prevalence percentages were calculated. Second, changes in the magnitude of relative health inequalities were studied using logistic regression analysis. Within each country......This study examined changes over time in relative health inequalities among men and women in four Nordic countries, Denmark, Finland, Norway and Sweden. A serious economic recession burst out in the early 1990s particularly in Finland and Sweden. We ask whether this adverse social structural......'development influenced health inequalities by employment status and educational attainment, i.e. whether the trends in health inequalities were similar or dissimilar between the Nordic countries. The data derived from comparable interview surveys carried out in 1986/87 and 1994/95 in the four countries. Limiting long...

  14. A consideration of user financial incentives to address health inequalities.

    Science.gov (United States)

    Oliver, Adam; Brown, Lawrence D

    2012-04-01

    Health inequalities and user financial incentives to encourage health-related behavior change are two topical issues in the health policy discourse, and this article attempts to combine the two; namely, we try to address whether the latter can be used to reduce the former in the contexts of the United Kingdom and the United States. Payments for some aspects of medical adherence may offer a promising way to address, to some extent, inequalities in health and health care in both countries. However, payments for more sustained behavior change, such as that associated with smoking cessation and weight loss, have thus far shown little long-term effect, although more research that tests the effectiveness of different incentive mechanism designs, informed by the findings of behavioral economics, ought to be undertaken. Many practical, political, ethical, and ideological objections can be waged against user financial incentives in health, and this article reviews a number of them, but the justifiability of and limits to these incentives require more academic and public discourse so as to gain a better understanding of the circumstances in which they can legitimately be used.

  15. A health equity impact assessment umbrella program (AAPRISS) to tackle social inequalities in health: program description.

    Science.gov (United States)

    Lang, Thierry; Bidault, Elsa; Villeval, Mélanie; Alias, François; Gandouet, Benjamin; Servat, Martine; Theis, Ivan; Breton, Eric; Haschar-Noé, Nadine; Grosclaude, Pascale

    2016-09-01

    The failure to simultaneously address two objectives (increasing the average health of the population and reducing health inequalities) may have led to what has been observed in France so far: an overall decrease in mortality and increase in inequality. The Apprendre et Agir pour Réduire les Inégalités Sociales de Santé (AAPRISS) methodology is to analyze and modify interventions that are already underway in terms of their potential impact on health inequalities. It relies on partnership between researchers and actors in the health field, as well as policy makers. In this paper, we describe the program and discuss its feasibility and acceptability. This program is not a single intervention, but a process aiming at assessing and reshaping existing health programs, therefore acting as a kind of meta-intervention. The program develops scientific and methodological support stemming from co-construction methods aimed at increasing equity within the programs. Stakeholders from prevention policy-making and the health care system, as well as researchers, collaborate in defining interventions, monitoring their progress, and choosing indicators, methods and evaluation procedures. The target population is mainly the population of the greater Toulouse area. The steps of the process are described: (1) establishment of AAPRISS governance and partnerships; (2) inclusion of projects; and (3) the projects' process. Many partners have rallied around this program, which has been shown to be feasible and acceptable by partners and health actors. A major challenge is understanding each partner's expectations in terms of temporality of interventions, expected outcomes, assessment methods and indicators. Analyzing the projects has been quite feasible, and some modifications have been implemented in them in order to take inequalities in health into account. © The Author(s) 2015.

  16. On the measurement of the (multidimensional) inequality of health distributions

    DEFF Research Database (Denmark)

    Hougaard, Jens Leth; Moreno-Ternero, Juan D.; Østerdal, Lars Peter Raahave

    2013-01-01

    a standard mathematical structure. We single out two families of (absolute and relative) multidimensional health inequality indices, inspired by the classical normative approach to income inequality measurement. We also discuss how to extend the analysis to deal with the related problem of health deprivation......Health outcomes are often described according to two dimensions: quality of life and quantity of life. We analyze the measurement of inequality of health distributions referring to these two dimensions. Our analysis relies on a novel treatment of the quality-of-life dimension, which might not have...

  17. Social capital and health: measuring and understanding social capital at a local level could help to tackle health inequalities more effectively.

    Science.gov (United States)

    Pilkington, Paul

    2002-09-01

    This paper examines whether an understanding of the concept of social capital and its local measurement can help to tackle inequalities in health within and across communities. The paper concludes that the concept of social capital offers a valuable opportunity to help public health professionals understand how to approach inequalities in health with a greater awareness of the social processes affecting the health of communities. The measurement of social capital has been problematic. However, new guidance from the Health Development Agency (HDA) provides a useful tool for developing social capital research. A greater understanding of whether, and how social capital relates to health will help to improve strategies to reduce health inequalities at the community level. Public health professionals contributing to community development strategies such as Neighbourhood Renewal Projects, Community Safety Partnerships, Health Action Zones and Health Improvement Programmes (HImPs) should encourage thought to be given about the role that an understanding of social capital could play in making these strategies more effective. Using the HDA measurement tool locally could be one way of doing this.

  18. Time scarcity: another health inequality?

    OpenAIRE

    Lyndall Strazdins; Amy L Griffin; Dorothy H Broom; Cathy Banwell; Rosemary Korda; Jane Dixon; Francesco Paolucci; John Glover

    2011-01-01

    Considerable policy action has focused on the social patterning of health, especially the health risks associated with low income. More recent attention has turned to transport, food systems, workplaces, and location, and the way their intersections with social position and income create health inequalities. Time is another dimension that structures what people do; yet the way in which time contours health has been neglected. This paper explores (a) how time might influence health, and (b) th...

  19. Ecological analysis of the health effects of income inequality in Argentina.

    Science.gov (United States)

    De Maio, Fernando G

    2008-05-01

    Despite a large body of empirical literature, a consensus has not been reached concerning the health effects of income inequality. This study contributes to ongoing debates by examining the robustness of the income inequality-population health relationship in Argentina, using five different income inequality indexes (each sensitive to inequalities in differing parts of the income spectrum) and five measures of population health. Cross-sectional, ecological study. Income and self-reported morbidity data from Argentina's 2001 Encuesta de Condiciones de Vida (Survey of living conditions) were analysed at the provincial level. Provincial rates of male/female life expectancy and infant mortality were drawn from the Instituto Nacional de Estadistica y Censos database. Life expectancy was correlated in the expected direction with provincial-level income inequality (operationalized as the Gini coefficient) for both males (r=-0.55, P<0.01) and females (r=-0.61, P<0.01), but this association was not robust for all five income inequality indexes. In contrast, infant mortality, self-reported poor health and self-reported activity limitation were not correlated with any of the income inequality indexes. This study adds further complexity to the literature on the health effects of income inequality by highlighting the important effects of operational definitions. Mortality and morbidity data cannot be used as reasonably interchangeable variables (a common practice in this literature), and the choice of income inequality indicator may influence the results.

  20. Measuring inequalities in the distribution of the Fiji Health Workforce.

    Science.gov (United States)

    Wiseman, Virginia; Lagarde, Mylene; Batura, Neha; Lin, Sophia; Irava, Wayne; Roberts, Graham

    2017-06-30

    Despite the centrality of health personnel to the health of the population, the planning, production and management of human resources for health remains underdeveloped in many low- and middle-income countries (LMICs). In addition to the general shortage of health workers, there are significant inequalities in the distribution of health workers within LMICs. This is especially true for countries like Fiji, which face major challenges in distributing its health workforce across many inhabited islands. In this study, we describe and measure health worker distributional inequalities in Fiji, using data from the 2007 Population Census, and Ministry of Health records of crude death rates and health workforce personnel. We adopt methods from the economics literature including the Lorenz Curve/Gini Coefficient and Theil Index to measure the extent and drivers of inequality in the distribution of health workers at the sub-national level in Fiji for three categories of health workers: doctors, nurses, and all health workers (doctors, nurses, dentists and health support staff). Population size and crude death rates are used as proxies for health care needs. There are greater inequalities in the densities of health workers at the provincial level, compared to the divisional level in Fiji - six of the 15 provinces fall short of the recommended threshold of 2.3 health workers per 1,000 people. The estimated decile ratios, Gini co-efficient and Thiel index point to inequalities at the provincial level in Fiji, mainly with respect to the distribution of doctors; however these inequalities are relatively small. While populations with lower mortality tend to have a slightly greater share of health workers, the overall distribution of health workers on the basis of need is more equitable in Fiji than for many other LMICs. The overall shortage of health workers could be addressed by creating new cadres of health workers; employing increasing numbers of foreign doctors, including

  1. Health and social inequities in Malta.

    Science.gov (United States)

    Agius, F

    1990-01-01

    This paper focuses on the sources that are thought to lead to the genesis of health and social inequity in a small island community. It is largely a descriptive exposition, the main aim of which is to introduce the topic in Malta. Small size is the key geographical factor. This fact is dwelt upon to stress that although there are differences, say, between the two inhabitable islands, such differences are very small. Social homogeneity and an almost indiscernible urban-rural difference are strong factors that reduce any tendency for regional inequities. Socio-cultural factors in Malta are largely determined by family life and its relation with the established church. The traditional Catholic way of life is depicted as gradually giving way to a more secular lifestyle. Politics is represented as the prime factor for causing division within the this society. This is not without reason since this factor has taken over the other cause of division, namely parochialism. Political factors determine the distribution of resources including health resources. The important economic factors are that there are no great differences between the high income and the low income groups. However, due importance must always be given to the subterranean economy. The health profile is that of a developed country with low infant mortality and a long life expectancy. Infectious diseases have been on the decline and their persistence is usually linked to areas that have remained underdeveloped. The disadvantaged groups identified are the chronically unemployed, single mothers, possibly a section of the migrant population and the elderly.

  2. Does Income Inequality Harm Health? New Cross-National Evidence

    Science.gov (United States)

    Beckfield, Jason

    2004-01-01

    The provocative hypothesis that income inequality harms population health has sparked a large body of research, some of which has reported strong associations between income inequality and population health. Cross-national evidence is frequently cited in support of this important hypothesis, but the hypothesis remains controversial, and the…

  3. Impacts of Climate Change on Inequities in Child Health

    Directory of Open Access Journals (Sweden)

    Charmian M. Bennett

    2014-12-01

    Full Text Available This paper addresses an often overlooked aspect of climate change impacts on child health: the amplification of existing child health inequities by climate change. Although the effects of climate change on child health will likely be negative, the distribution of these impacts across populations will be uneven. The burden of climate change-related ill-health will fall heavily on the world’s poorest and socially-disadvantaged children, who already have poor survival rates and low life expectancies due to issues including poverty, endemic disease, undernutrition, inadequate living conditions and socio-economic disadvantage. Climate change will exacerbate these existing inequities to disproportionately affect disadvantaged children. We discuss heat stress, extreme weather events, vector-borne diseases and undernutrition as exemplars of the complex interactions between climate change and inequities in child health.

  4. Reference value sensitivity of measures of unfair health inequality

    Science.gov (United States)

    García-Gómez, Pilar; Schokkaert, Erik; Van Ourti, Tom

    2014-01-01

    Most politicians and ethical observers are not interested in pure health inequalities, as they want to distinguish between different causes of health differences. Measures of “unfair” inequality - direct unfairness and the fairness gap, but also the popular standardized concentration index - therefore neutralize the effects of what are considered to be “legitimate” causes of inequality. This neutralization is performed by putting a subset of the explanatory variables at reference values, e.g. their means. We analyze how the inequality ranking of different policies depends on the specific choice of reference values. We show with mortality data from the Netherlands that the problem is empirically relevant and we suggest a statistical method for fixing the reference values. PMID:24954998

  5. Welfare state, labour market inequalities and health. In a global context: an integrated framework. SESPAS report 2010.

    Science.gov (United States)

    Muntaner, Carles; Benach, Joan; Chung, Haejoo; Edwin, N G; Schrecker, Ted

    2010-12-01

    Since the nineteen seventies, high- and low-income countries have undergone a pattern of transnational economic and cultural integration known as globalization. The weight of the available evidence suggests that the effects of globalization on labor markets have increased economic inequality and various forms of economic insecurity that negatively affect workers' health. Research on the relation between labor markets and health is hampered by the social invisibility of many of these health inequalities. Empirical evidence of the impact of employment relations on health inequalities is scarce for low-income countries, small firms, rural settings, and sectors of the economy in which "informality" is widespread. Information is also scarce on the effectiveness of labor market interventions in reducing health inequalities. This pattern is likely to continue in the future unless governments adopt active labor market policies. Such policies include creating jobs through state intervention, regulating the labor market to protect employment, supporting unions, and ensuring occupational safety and health standards. Copyright © 2010 SESPAS. Published by Elsevier Espana. All rights reserved.

  6. ARE ALL HEALTH INEQUALITIES REALLY UNJUST?

    Directory of Open Access Journals (Sweden)

    Kadir GÜRSOY

    2014-02-01

    Full Text Available It is well known that health outcomes are not allotted evenly among countries, between regions in a country, and even among people living in the same neighborhood. For example, while a Japanese person enjoys living 83.1 years in 2009 on average, life expectancy at birth for a Zambian person is only 47.9 years, pointing out that there are notable disparities in the health of differing groups. Lifestyle factors, biological factors, and social gradients lead to most health inequalities. Health inequalities are unjust and avoidable when they arise due to the unfair distribution of the social gradients such as education, income, and social status. However, some are not unjust and hence acceptable if they are derived completely from free choices fully informed adults make such as smoking, alcohol, risky hobbies. Therefore, governments should provide equal and fair opportunity for health and improve health status of the worst off, but they have to keep in mind that even with the best policies, unequal but just health outcomes may still persist as a residual.

  7. Health as freedom: addressing social determinants of global health inequities through the human right to development.

    Science.gov (United States)

    Fox, Ashley M; Meier, Benjamin Mason

    2009-02-01

    In spite of vast global improvements in living standards, health, and well-being, the persistence of absolute poverty and its attendant maladies remains an unsettling fact of life for billions around the world and constitutes the primary cause for the failure of developing states to improve the health of their peoples. While economic development in developing countries is necessary to provide for underlying determinants of health--most prominently, poverty reduction and the building of comprehensive primary health systems--inequalities in power within the international economic order and the spread of neoliberal development policy limit the ability of developing states to develop economically and realize public goods for health. With neoliberal development policies impacting entire societies, the collective right to development, as compared with an individual rights-based approach to development, offers a framework by which to restructure this system to realize social determinants of health. The right to development, working through a vector of rights, can address social determinants of health, obligating states and the international community to support public health systems while reducing inequities in health through poverty-reducing economic growth. At an international level, where the ability of states to develop economically and to realize public goods through public health systems is constrained by international financial institutions, the implementation of the right to development enables a restructuring of international institutions and foreign-aid programs, allowing states to enter development debates with a right to cooperation from other states, not simply a cry for charity.

  8. Income-related inequality in health and health-related behaviour: exploring the equalisation hypothesis

    OpenAIRE

    Vallejo-Torres, Laura; Hale, Daniel; Morris, Stephen; Viner, Russell M

    2014-01-01

    Background Previous studies have found the socioeconomic gradient in health among adolescents to be lower than that observed during childhood and adulthood. The aim of this study was to examine income-related inequalities in health and health-related behaviour across the lifespan in England to explore ‘equalisation’ in adolescence. Methods We used five years of data (2006–2010) from the Health Survey for England to explore inequalities in six indicators: self-assessed general health, longstan...

  9. Health Inequality in South Africa: A Systematic Review | Obuaku ...

    African Journals Online (AJOL)

    This study presents a review of key empirical studies on health inequalities in South Africa with the aim of contributing to a comparative examination of social inequalities in health across different countries in Europe and other parts of the World. Studies reviewed were identified through a computerised search of key words ...

  10. Healthcare investment and income inequality.

    Science.gov (United States)

    Bhattacharjee, Ayona; Shin, Jong Kook; Subramanian, Chetan; Swaminathan, Shailender

    2017-12-01

    This paper examines how the relative shares of public and private health expenditures impact income inequality. We study a two period overlapping generation's growth model in which longevity is determined by both private and public health expenditure and human capital is the engine of growth. Increased investment in health, reduces mortality, raises return to education and affects income inequality. In such a framework we show that the cross-section earnings inequality is non-decreasing in the private share of health expenditure. We test this prediction empirically using a variable that proxies for the relative intensity of investments (private versus public) using vaccination data from the National Sample Survey Organization for 76 regions in India in the year 1986-87. We link this with region-specific expenditure inequality data for the period 1987-2012. Our empirical findings, though focused on a specific health investment (vaccines), suggest that an increase in the share of the privately provided health care results in higher inequality. Copyright © 2017 Elsevier B.V. All rights reserved.

  11. Food and Health Inequalities in European Union

    DEFF Research Database (Denmark)

    Robertson, Aileen

    Food and Inequalities in European Union Dr. Aileen Robertson, Public Health Nutritionist at the Metropolitan University College, Copenhagen. Dr. Robertson focused on food and inequality in light of the increased prevalence of overweight and obesity in Europe. On average over 50% of Europeans...... public procurement; 3) more democratic sustainable food systems with fairer prices to producers; 4) realise that food and nutrition policies are at the heart of achieving all 17 Sustainable Development Goals and the COP21climate goals; 5) a ‘Health in All Policies’ approach applied to CAP reform...

  12. Gender Inequality since 1820

    OpenAIRE

    Carmichael, Sarah; Dilli, Selin; Rijpma, Auke

    2014-01-01

    Historically, gender inequalities in health status, socio-economic standing and political rights have been large. This chapter documents gender differences in life expectancy and birth rates (to cover health status); in average years of schooling, labour force participation, inheritance rights and marriage age (to cover socioeconomic status); and in parliamentary seats and suffrage (to cover political rights). A composite indicator shows strong progress in reducing gender inequality in the pa...

  13. Inequalities in selected health-related Millennium Development ...

    African Journals Online (AJOL)

    Inequalities in selected health-related Millennium Development Goals ... and interventions (including health promotion, primary and secondary prevention, ... and ensuring environmental sustainability (through reduction in the use of solid fuels ...

  14. Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Niko Speybroeck

    2013-11-01

    Full Text Available Background: The emergence and evolution of socioeconomic inequalities in health involves multiple factors interacting with each other at different levels. Simulation models are suitable for studying such complex and dynamic systems and have the ability to test the impact of policy interventions in silico. Objective: To explore how simulation models were used in the field of socioeconomic inequalities in health. Methods: An electronic search of studies assessing socioeconomic inequalities in health using a simulation model was conducted. Characteristics of the simulation models were extracted and distinct simulation approaches were identified. As an illustration, a simple agent-based model of the emergence of socioeconomic differences in alcohol abuse was developed. Results: We found 61 studies published between 1989 and 2013. Ten different simulation approaches were identified. The agent-based model illustration showed that multilevel, reciprocal and indirect effects of social determinants on health can be modeled flexibly. Discussion and Conclusions: Based on the review, we discuss the utility of using simulation models for studying health inequalities, and refer to good modeling practices for developing such models. The review and the simulation model example suggest that the use of simulation models may enhance the understanding and debate about existing and new socioeconomic inequalities of health frameworks.

  15. Inequalities in oral health and oral health promotion

    OpenAIRE

    Moysés, Samuel Jorge

    2012-01-01

    This article offers a critical review of the problem of inequalities in oral health and discusses strategies for disease prevention and oral health promotion. It shows that oral health is not merely a result of individual biological, psychological, and behavioral factors; rather, it is the sum of collective social conditions created when people interact with the social environment. Oral health status is directly related to socioeconomic position across the socioeconomic gradient in almost all...

  16. Socioeconomic inequality in catastrophic health expenditure in Brazil.

    Science.gov (United States)

    Boing, Alexandra Crispim; Bertoldi, Andréa Dâmaso; Barros, Aluísio Jardim Dornellas de; Posenato, Leila Garcia; Peres, Karen Glazer

    2014-08-01

    To analyze the evolution of catastrophic health expenditure and the inequalities in such expenses, according to the socioeconomic characteristics of Brazilian families. Data from the National Household Budget 2002-2003 (48,470 households) and 2008-2009 (55,970 households) were analyzed. Catastrophic health expenditure was defined as excess expenditure, considering different methods of calculation: 10.0% and 20.0% of total consumption and 40.0% of the family's capacity to pay. The National Economic Indicator and schooling were considered as socioeconomic characteristics. Inequality measures utilized were the relative difference between rates, the rates ratio, and concentration index. The catastrophic health expenditure varied between 0.7% and 21.0%, depending on the calculation method. The lowest prevalences were noted in relation to the capacity to pay, while the highest, in relation to total consumption. The prevalence of catastrophic health expenditure increased by 25.0% from 2002-2003 to 2008-2009 when the cutoff point of 20.0% relating to the total consumption was considered and by 100% when 40.0% or more of the capacity to pay was applied as the cut-off point. Socioeconomic inequalities in the catastrophic health expenditure in Brazil between 2002-2003 and 2008-2009 increased significantly, becoming 5.20 times higher among the poorest and 4.17 times higher among the least educated. There was an increase in catastrophic health expenditure among Brazilian families, principally among the poorest and those headed by the least-educated individuals, contributing to an increase in social inequality.

  17. Whose health is affected by income inequality? A multilevel interaction analysis of contemporaneous and lagged effects of state income inequality on individual self-rated health in the United States.

    Science.gov (United States)

    Subramanian, S V; Kawachi, Ichiro

    2006-06-01

    The empirical relationship between income inequality and health has been much debated and discussed. Recent reviews suggest that the current evidence is mixed, with the relationship between state income inequality and health in the United States (US) being perhaps the most robust. In this paper, we examine the multilevel interactions between state income inequality, individual poor self-rated health, and a range of individual demographic and socioeconomic markers in the US. We use the pooled data from the 1995 and 1997 Current Population Surveys, and the data on state income inequality (represented using Gini coefficient) from the 1990, 1980, and 1970 US Censuses. Utilizing a cross-sectional multilevel design of 201,221 adults nested within 50 US states we calibrated two-level binomial hierarchical mixed models (with states specified as a random effect). Our analyses suggest that for a 0.05 change in the state income inequality, the odds ratio (OR) of reporting poor health was 1.30 (95% CI: 1.17-1.45) in a conditional model that included individual age, sex, race, marital status, education, income, and health insurance coverage as well as state median income. With few exceptions, we did not find strong statistical support for differential effects of state income inequality across different population groups. For instance, the relationship between state income inequality and poor health was steeper for whites compared to blacks (OR=1.34; 95% CI: 1.20-1.48) and for individuals with incomes greater than $75,000 compared to less affluent individuals (OR=1.65; 95% CI: 1.26-2.15). Our findings, however, primarily suggests an overall (as opposed to differential) contextual effect of state income inequality on individual self-rated poor health. To the extent that contemporaneous state income inequality differentially affects population sub-groups, our analyses suggest that the adverse impact of inequality is somewhat stronger for the relatively advantaged socioeconomic

  18. Health Inequalities in South Asia at the Launch of Sustainable Development Goals: Exclusions in Health in Kerala, India Need Political Interventions.

    Science.gov (United States)

    Thresia, C U

    2018-01-01

    Despite substantial progress in social development during the post-colonial period, health inequalities in the South Asian countries were staggering, with reduced life expectancy, higher maternal and child mortality, and gender discrimination. Notably, even with the rapid economic growth during the neoliberal period, India fares below most of the South Asian countries in several health indicators. The Indian state of Kerala stands out with social sector gains; nevertheless, evidence indicates widening health inequalities, restricted public arenas, and undemocratic practices in health, particularly in the context of increasing market logic in the health and social arenas shaping health. The caste, class, gender, and ethnic ideologies and patriarchal power structure interwoven in the sociopolitical, cultural, moral, and health discourses similar to the South Asian context raise serious inequalities for health. At the launch of the United Nations' Sustainable Development Goals, the populations with lingering privations and forbidden freedoms for gaining better health in Kerala, similar to South Asia, were largely the dalits, ethnic and religious minorities, and women. This necessitates greater political interventions, recognizing the interacting effects of history, culture, social factors, politics, and policies on health. And public health research needs to underscore this approach.

  19. Women at risk: Gender inequality and maternal health.

    Science.gov (United States)

    Banda, Pamela C; Odimegwu, Clifford O; Ntoimo, Lorretta F C; Muchiri, Evans

    2017-04-01

    Gender inequality has been documented as a key driver of negative health outcomes, especially among women. However, studies have not clearly examined the role of gender inequality in maternal health in an African setting. Therefore, the authors of this study examined the role of gender inequality, indicated by lack of female autonomy, in exposing women to maternal health risk. Data were obtained from the 2007 Zambia Demographic and Health Survey on a weighted sample of 3,906 married or partnered women aged 15-49 years. Multivariable analyses revealed that low autonomy in household decision power was associated with maternal health risk (Odds Ratio (OR) = 1.52, p < .001). Autonomy interacted with household wealth showed that respondents who were in the wealthier households and had low autonomy in household decision power (OR = 2.03, p < .05) were more likely to be exposed to maternal health risk than their counterparts who had more autonomy. Efforts to lower women's exposure to maternal mortality and morbidity in Zambia should involve interventions to alter prevailing gender norms that limit women's active participation in decisions about their own health during pregnancy and delivery.

  20. Health Inequalities and Active Aging: What Can Social Workers Do?

    OpenAIRE

    Won Min, Jong

    2013-01-01

    The ongoing Eurozone crisis brought Spain harsh austerity measures of higher tax and cuts in medical care and social services. The growing economic hardship may lead to greater economic inequality. Income inequality, in turn, could cause inequitable health differences in population, called “health inequalities.” All of the events pose great challenges and risk to older adults, and threatens their efforts toward achieving healthy and active aging in Spain. This paper provides an ov...

  1. Socioeconomic health inequalities among a nationally representative sample of Danish adolescents

    DEFF Research Database (Denmark)

    Due, P; Lynch, J; Holstein, B

    2003-01-01

    To investigate the role of different types of social relations in adolescent health inequalities.......To investigate the role of different types of social relations in adolescent health inequalities....

  2. Gender (in)equality among employees in elder care : implications for health

    OpenAIRE

    Elwer, Sofia; Alex, Lena; Hammarström, Anne

    2012-01-01

    Abstract Introduction Gendered practices of working life create gender inequalities through horizontal and vertical gender segregation in work, which may lead to inequalities in health between women and men. Gender equality could therefore be a key element of health equity in working life. Our aim was to analyze what gender (in)equality means for the employees at a woman-dominated workplace and discuss possible implications for health experiences. Methods All caregiving staff at two workplace...

  3. Explaining changes in child health inequality in the run up to the 2015 Millennium Development Goals (MDGs): The case of Zambia.

    Science.gov (United States)

    Hangoma, Peter; Aakvik, Arild; Robberstad, Bjarne

    2017-01-01

    Child health interventions were drastically scaled up in the period leading up to 2015 as countries aimed at meeting the 2015 target of the Millennium Development Goals (MDGs). MDGs were defined in terms of achieving improvements in average health. Significant improvements in average child health are documented, but evidence also points to rising inequality. It is important to investigate factors that drive the increasing disparities in order to inform the post-2015 development agenda of reducing inequality, as captured in the Sustainable Development Goals (SDGs). We investigated changes in socioeconomic inequality in stunting and fever in Zambia in 2007 and 2014. Unlike the huge literature that seeks to quantify the contribution of different determinants on the observed inequality at any given time, we quantify determinants of changes in inequality. Data from the 2007 and 2014 waves of the Zambia Demographic and Health Survey (DHS) were utilized. Our sample consisted of children aged 0-5 years (n = 5,616 in 2007 and n = 12,714 in 2014). We employed multilevel models to assess the determinants of stunting and fever, which are two important child health indicators. The concentration index (CI) was used to measure the magnitude of inequality. Changes in inequality of stunting and fever were investigated using Oaxaca-type decomposition of the CI. In this approach, the change in the CI for stunting/fever is decomposed into changes in CI for each determinant and changes in the effect-measured as an elasticity-of each determinant on stunting/fever. While average rates of stunting reduced in 2014 socioeconomic inequality in stunting increased significantly. Inequality in fever incidence also increased significantly, but average rates of fever did not reduce. The increase in the inequality (CI) of determinants accounted for the largest part (42.5%) of the increase in inequality of stunting, while the increase in the effect of determinants explained 35% of the increase. The

  4. Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis.

    Science.gov (United States)

    Dlouhý, Martin

    2018-01-01

    The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations.

  5. Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis

    Science.gov (United States)

    Dlouhý, Martin

    2018-01-01

    The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations. PMID:29541631

  6. Difference in Health Inequity between Two Population Groups due to a Social Determinant of Health

    Science.gov (United States)

    Moonesinghe, Ramal; Bouye, Karen; Penman-Aguilar, Ana

    2014-01-01

    The World Health Organization defines social determinants of health as “complex, integrated, and overlapping social structures and economic systems” that are responsible for most health inequities. Similar to the individual-level risk factors such as behavioral and biological risk factors that influence disease, we consider social determinants of health such as the distribution of income, wealth, influence and power as risk factors for risk of disease. We operationally define health inequity in a disease within a population due to a risk factor that is unfair and avoidable as the difference between the disease outcome with and without the risk factor in the population. We derive expressions for difference in health inequity between two populations due to a risk factor that is unfair and avoidable for a given disease. The difference in heath inequity between two population groups due to a risk factor increases with increasing difference in relative risks and the difference in prevalence of the risk factor in the two populations. The difference in health inequity could be larger than the difference in health outcomes between the two populations in some situations. Compared to health disparities which are typically measured and monitored using absolute or relative disparities of health outcomes, the methods presented in this manuscript provide a different, yet complementary, picture because they parse out the contributions of unfair and avoidable risk factors. PMID:25522048

  7. Rising U.S. income inequality, gender and individual self-rated health, 1972-2004.

    Science.gov (United States)

    Zheng, Hui

    2009-11-01

    The effect of income inequality on health has been a contested topic among social scientists. Most previous research is based on cross-sectional comparisons rather than temporal comparisons. Using data from the General Social Survey and the U.S. Census Bureau, this study examines how rising income inequality affects individual self-rated health in the U.S. from 1972 to 2004. Data are analyzed using hierarchical generalized linear models. The findings suggest a significant association between income inequality and individual self-rated health. The dramatic increase in income inequality from 1972 to 2004 increases the odds of worse self-rated health by 9.4 percent. These findings hold for three measures of income inequality: the Gini coefficient, the Atkinson Index, and the Theil entropy index. Results also suggest that overall income inequality and gender-specific income inequality harm men's, but not women's, self-rated health. These findings also hold for the three measures of income inequality. These findings suggest that inattention to gender composition may explain apparent discrepancies across previous studies.

  8. Inequalities in health and gender.

    Science.gov (United States)

    Haavio-Mannila, E

    1986-01-01

    Gender inequalities in health are studied in Denmark, Finland, Norway and Sweden on the basis of survey data on morbidity and symptoms of anxiety, and of mental hospitalization statistics. Women have higher rates of illness than men in countries where, and in periods when, they have to a great extent stayed at home as full-time housewives. Participation in paid economic activity and the resulting economical independence thus seems to be beneficial to women's health on the macro-level of society. On the micro-level of individual families, inequality in morbidity by gender is smaller in families with two economical providers than in families where the wife stays at home. The anxiety rates of employed wives are, however, relatively high compared with those of men and non-employed wives. Only in Sweden is the mental health of employed wives good, perhaps because of supportive social policies favouring women's work outside the home. The strain involved in combining family and work among women thus becomes manifest in the appearance of symptoms of anxiety but not in physical morbidity nor mental hospitalization.

  9. Two decades of Neo-Marxist class analysis and health inequalities: A critical reconstruction

    Science.gov (United States)

    Muntaner, Carles; Ng, Edwin; Chung, Haejoo; Prins, Seth J

    2015-01-01

    Most population health researchers conceptualize social class as a set of attributes and material conditions of life of individuals. The empiricist tradition of ‘class as an individual attribute' equates class to an ‘observation', precluding the investigation of unobservable social mechanisms. Another consequence of this view of social class is that it cannot be conceptualized, measured, or intervened upon at the meso- or macro levels, being reduced to a personal attribute. Thus, population health disciplines marginalize rich traditions in Marxist theory whereby ‘class' is understood as a ‘hidden' social mechanism such as exploitation. Yet Neo-Marxist social class has been used over the last two decades in population health research as a way of understanding how health inequalities are produced. The Neo-Marxist approach views social class in terms of class relations that give persons control over productive assets and the labour power of others (property and managerial relations). We critically appraise the contribution of the Neo-Marxist approach during the last two decades and suggest realist amendments to understand class effects on the social determinants of health and health outcomes. We argue that when social class is viewed as a social causal mechanism it can inform social change to reduce health inequalities. PMID:26345311

  10. Social determinants of health and health inequities in Nakuru (Kenya).

    Science.gov (United States)

    Muchukuri, Esther; Grenier, Francis R

    2009-05-14

    Dramatic inequalities dominate global health today. The rapid urban growth sustained by Kenya in the last decades has created many difficulties that also led to worsening inequalities in health care. The continuous decline in its Human Development Index since the 1990s highlights the hardship that continues to worsen in the country, against the general trend of Sub-Saharan Africa. This paper examines the health status of residents in a major urban centre in Kenya and reviews the effects of selected social determinants on local health. Through field surveys, focus group discussions and a literature review, this study canvasses past and current initiatives and recommends priority actions. Areas identified which unevenly affect the health of the most vulnerable segments of the population were: water supply, sanitation, solid waste management, food environments, housing, the organization of health care services and transportation. The use of a participatory method proved to be a useful approach that could benefit other urban centres in their analysis of social determinants of health.

  11. The Interplay between socioeconomic inequalities and clinical oral health.

    Science.gov (United States)

    Steele, J; Shen, J; Tsakos, G; Fuller, E; Morris, S; Watt, R; Guarnizo-Herreño, C; Wildman, J

    2015-01-01

    Oral health inequalities associated with socioeconomic status are widely observed but may depend on the way that both oral health and socioeconomic status are measured. Our aim was to investigate inequalities using diverse indicators of oral health and 4 socioeconomic determinants, in the context of age and cohort. Multiple linear or logistic regressions were estimated for 7 oral health measures representing very different outcomes (2 caries prevalence measures, decayed/missing/filled teeth, 6-mm pockets, number of teeth, anterior spaces, and excellent oral health) against 4 socioeconomic measures (income, education, Index of Multiple Deprivation, and occupational social class) for adults aged ≥21 y in the 2009 UK Adult Dental Health Survey data set. Confounders were adjusted and marginal effects calculated. The results showed highly variable relationships for the different combinations of variables and that age group was critical, with different relationships at different ages. There were significant income inequalities in caries prevalence in the youngest age group, marginal effects of 0.10 to 0.18, representing a 10- to 18-percentage point increase in the probability of caries between the wealthiest and every other quintile, but there was not a clear gradient across the quintiles. With number of teeth as an outcome, there were significant income gradients after adjustment in older groups, up to 4.5 teeth (95% confidence interval, 2.2-6.8) between richest and poorest but none for the younger groups. For periodontal disease, income inequalities were mediated by other socioeconomic variables and smoking, while for anterior spaces, the relationships were age dependent and complex. In conclusion, oral health inequalities manifest in different ways in different age groups, representing age and cohort effects. Income sometimes has an independent relationship, but education and area of residence are also contributory. Appropriate choices of measures in relation to age

  12. Inequities in utilization of maternal health interventions in Namibia: implications for progress towards MDG 5 targets

    Directory of Open Access Journals (Sweden)

    Kirigia Joses

    2010-06-01

    Full Text Available Abstract Background Inequities in the utilization of maternal health services impede progress towards the MDG 5 target of reducing the maternal mortality ratio by three quarters, between 1990 and 2015. In Namibia, despite increasing investments in the health sector, the maternal mortality ratio has increased from 271 per 100,000 live births in the period 1991-2000 to 449 per 100,000 live births in 1998-2007. Monitoring equity in the use of maternal health services is important to target scarce resources to those with more need and expedite the progress towards the MDG 5 target. The objective of this study is to measure socio-economic inequalities in access to maternal health services and propose recommendations relevant for policy and planning. Methods Data from the Namibia Demographic and Health Survey 2006-07 are analyzed for inequities in the utilization of maternal health. In measuring the inequities, rate-ratios, concentration curves and concentration indices are used. Results Regions with relatively high human development index have the highest rates of delivery by skilled health service providers. The rate of caesarean section in women with post secondary education is about seven times that of women with no education. Women in urban areas are delivered by skilled providers 30% more than their rural counterparts. The rich use the public health facilities 30% more than the poor for child delivery. Conclusion Most of the indicators such as delivery by trained health providers, delivery by caesarean section and postnatal care show inequities favoring the most educated, urban areas, regions with high human development indices and the wealthy. In the presence of inequities, it is difficult to achieve a significant reduction in the maternal mortality ratio needed to realize the MDG 5 targets so long as a large segment of society has inadequate access to essential maternal health services and other basic social services. Addressing inequities in

  13. Influence of macrosocial policies on women's health and gender inequalities in health.

    Science.gov (United States)

    Borrell, Carme; Palència, Laia; Muntaner, Carles; Urquía, Marcelo; Malmusi, Davide; O'Campo, Patricia

    2014-01-01

    Gender inequalities in health have been widely described, but few studies have examined the upstream sources of these inequalities in health. The objectives of this review are 1) to identify empirical papers that assessed the effect of gender equality policies on gender inequalities in health or on women's health by using between-country (or administrative units within a country) comparisons and 2) to provide an example of published evidence on the effects of a specific policy (parental leave) on women's health. We conducted a literature search covering the period from 1970 to 2012, using several bibliographical databases. We assessed 1,238 abstracts and selected 19 papers that considered gender equality policies, compared several countries or different states in 1 country, and analyzed at least 1 health outcome among women or compared between genders. To illustrate specific policy effects, we also selected articles that assessed associations between parental leave and women's health. Our review partially supports the hypothesis that Nordic social democratic welfare regimes and dual-earner family models best promote women's health. Meanwhile, enforcement of reproductive policies, mainly studied across US states, is associated with better mental health outcomes, although less with other outcomes. Longer paid maternity leave was also generally associated with better mental health and longer duration of breastfeeding.

  14. Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

    Science.gov (United States)

    Siegel, Martin; Mielck, Andreas; Maier, Werner

    2015-11-01

    This paper aims to explore potential associations between health inequalities related to socioeconomic deprivation at the individual and the small area level. We use German cross-sectional survey data for the years 2002 and 2006, and measure small area deprivation via the German Index of Multiple Deprivation. We test the differences between concentration indices of income-related and small area deprivation related inequalities in obesity, hypertension, and diabetes. Our results suggest that small area deprivation and individual income both yield inequalities in health favoring the better-off, where individual income-related inequalities are significantly more pronounced than those related to small area deprivation. We then apply a semiparametric extension of Wagstaff's corrected concentration index to explore how individual-level health inequalities vary with the degree of regional deprivation. We find that the concentration of obesity, hypertension, and diabetes among lower income groups also exists at the small area level. The degree of deprivation-specific income-related inequalities in the three health outcomes exhibits only little variations across different levels of multiple deprivation for both sexes. Copyright © 2014 John Wiley & Sons, Ltd.

  15. Health and social inequities in Turkey.

    Science.gov (United States)

    Dedeoglu, N

    1990-01-01

    Social and economic policies of governments directly influence the health of the people. These policies, in turn, are determined by the national and foreign controllers of power. Economic and social factors in Turkey during the late 1970s led to a new modelling of the economic system, from a Keynesian to a market-oriented and monetarist model. The state mechanism was also altered to form a centralized, authoritarian regime in order to enforce the requirements of the economy. As a result, the middle class diminished in size, inequalities in income distribution increased, unemployment climbed, the purchasing power of wage earners decreased, government spending for education and health was cut and new oppressive laws were enacted. Health services were already urban-biased and hospital-oriented, but new free-market measures were instituted which promoted private health institutions and attempted to transform state-owned and financed hospitals into self-supporting, independent business enterprises. The only school of public health was closed down; preventive medicine expenditures were lowered while hospital rates and drug prices were increased. All these changes affected the health status of the population. Mortality and morbidity inequalities had already existed between the rich and the poor, men and women, urban and rural settlements, educated and illiterate, West and East, always in favour of the former. However, the new policies exacerbated the inequities. Infectious diseases including tuberculosis increased, nutrition worsened, occupational diseases and work accidents rose to be the highest in Europe. The power-holding minority is not interested in the health of populations and is committed to pursue its social and economic policies. Ad hoc research, especially cross-sectional mortality studies repeated at regular intervals can provide data on the most vulnerable groups as no other valid information exists. There is little hope of these data being used for

  16. Measuring and decomposing inequity in self-reported morbidity and self-assessed health in Thailand

    Directory of Open Access Journals (Sweden)

    Sidorenko Alexandra

    2007-12-01

    Full Text Available Abstract Background In recent years, interest in the study of inequalities in health has not stopped at quantifying their magnitude; explaining the sources of inequalities has also become of great importance. This paper measures socioeconomic inequalities in self-reported morbidity and self-assessed health in Thailand, and the contributions of different population subgroups to those inequalities. Methods The Health and Welfare Survey 2003 conducted by the Thai National Statistical Office with 37,202 adult respondents is used for the analysis. The health outcomes of interest derive from three self-reported morbidity and two self-assessed health questions. Socioeconomic status is measured by adult-equivalent monthly income per household member. The concentration index (CI of ill health is used as a measure of socioeconomic health inequalities, and is subsequently decomposed into contributing factors. Results The CIs reveal inequality gradients disadvantageous to the poor for both self-reported morbidity and self-assessed health in Thailand. The magnitudes of these inequalities were higher for the self-assessed health outcomes than for the self-reported morbidity outcomes. Age and sex played significant roles in accounting for the inequality in reported chronic illness (33.7 percent of the total inequality observed, hospital admission (27.8 percent, and self-assessed deterioration of health compared to a year ago (31.9 percent. The effect of being female and aged 60 years or older was by far the strongest demographic determinant of inequality across all five types of health outcome. Having a low socioeconomic status as measured by income quintile, education and work status were the main contributors disadvantaging the poor in self-rated health compared to a year ago (47.1 percent and self-assessed health compared to peers (47.4 percent. Residence in the rural Northeast and rural North were the main regional contributors to inequality in self

  17. Socio-economic inequalities in health services utilization: a cross-sectional study.

    Science.gov (United States)

    Ranjbar Ezzatabadi, Mohammad; Khosravi, Ameneh; Bahrami, Mohammad Amin; Rafiei, Sima

    2018-02-12

    Purpose Developing country workers mainly face important challenges when examining equality in health services utilization among the population and identifying influential factors. The purpose of this paper us to: understand health service use among households with different socio-economic status in Isfahan province; and to investigate probable inequality determinants in service utilization. Design/methodology/approach Almost 1,040 households living in Isfahan province participated in this cross-sectional study in 2013. Data were collected by a questionnaire with three sections: demographic characteristics; socio-economic status; and health services utilization. The concentration index was applied to measure inequality. Analysts used STATA 11. Findings Economic status, educational level, insurance coverage and household gender were the most influential factors on health services utilization. Those with a high socio-economic level were more likely to demand and use such services; although self-medication patterns showed an opposite trend. Practical implications Female-headed families face with more difficulties in access to basic human needs including health. Supportive policies are needed to meet their demands. Originality/value The authors used principle component analysis to assess households' economic situation, which reduced the variables into a single index.

  18. [Gender inequalities in occupational health in Spain].

    Science.gov (United States)

    Campos-Serna, Javier; Ronda-Pérez, Elena; Artazcoz, Lucía; Benavides, Fernando G

    2012-01-01

    To analyze gender inequalities in employment and working conditions, the work-life balance, and work-related health problems in a sample of the employed population in Spain in 2007, taking into account social class and the economic sector. Gender inequalities were analyzed by applying 25 indicators to the 11,054 workers interviewed for the VI edition of the National Working Conditions Survey. Multivariate logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (95% CI), stratifying by occupational social class and economic sector. More women than men worked without a contract (OR=1.83; 95% CI: 1.51-2.21) and under high-effort/low-reward conditions (1.14:1.05-1.25). Women also experienced more sexual harassment (2.85:1.75-4.62), discrimination (1.60:1.26-2.03) and musculoskeletal pain (1.38:1.19-1.59). More men than women carried out shift work (0.86:0.79-0.94), with high noise levels (0.34:0.30-0.40), and high physical demands (0.58:0.54-0.63). Men also suffered more injuries due to occupational accidents (0.67:0.59-0.76). Women white-collar-workers were more likely than their male counterparts to have a temporary contract (1.34:1.09-1.63), be exposed to psychosocial hazards and discrimination (2.47:1.49-4.09) and have occupational diseases (1.91:1.28-2.83). Gender inequalities were higher in the industry sector. There are substantial gender inequalities in employment, working conditions, and work-related health problems in Spain. These gender inequalities are influenced by social class and the economic sector, and should be considered in the design of public policies in occupational health. Copyright © 2011 SESPAS. Published by Elsevier España, S.L. All rights reserved.

  19. Maternal Depression and Childhood Health Inequalities

    Science.gov (United States)

    Turney, Kristin

    2011-01-01

    An increasing body of literature documents considerable inequalities in the health of young children in the United States, though maternal depression is one important, yet often overlooked, determinant of children's health. In this article, the author uses data from the Fragile Families and Child Wellbeing Study (N = 4,048) and finds that maternal…

  20. Social inequalities in adult oral health in 40 low- and middle-income countries.

    Science.gov (United States)

    Bhandari, Bishal; Newton, Jonathon T; Bernabé, Eduardo

    2016-10-01

    This study evaluated social inequalities in adult oral health across several low- and middle-income countries. We used data from 40 countries that participated in the World Health Surveys. Participants' socio-economic position was assessed using the wealth index. Oral health was assessed using two perceived measures, namely total tooth loss and whether they had any problems with their mouth and/or teeth during the last 12 months (perceived needs). Absolute and relative wealth inequalities in oral health were measured using the slope index of inequality (SII) and the relative index of inequality (RII), respectively, after adjusting for participants' sex, age and education. There were wealth inequalities in total tooth loss and perceived needs in most countries. However, significant monotonic gradients were found in 21 countries for total tooth loss and in 18 countries for perceived needs. Two distinctive patterns of social inequality in oral health were found across countries using the RII and the SII. For total tooth loss, pro-rich inequality was found in 25 countries (significant RII/SII in eight countries) and pro-poor inequality was found in 15 (significant RII/SII in three countries). For perceived needs, pro-poor inequality was found in 26 countries (significant RII/SII in six countries) and pro-rich inequality was found in 14 (significant RII/SII in five countries). The well-documented social gradient in adult oral health favouring the rich was not present in all low- and middle-income countries. Pro-poor inequalities in total tooth loss, and particularly in perceived dental-treatment needs, were observed in some countries. © 2016 FDI World Dental Federation.

  1. Social inequalities in self-rated health in Ukraine in 2007: the role of psychosocial, material and behavioural factors.

    Science.gov (United States)

    Platts, Loretta G; Gerry, Christopher J

    2017-04-01

    Despite Ukraine's large population, few studies have examined social inequalities in health. This study describes Ukrainian educational inequalities in self-rated health and assesses how far psychosocial, material and behavioural factors account for the education gradient in health. Data were analyzed from the 2007 wave of the Ukrainian Longitudinal Monitoring Survey. Education was categorized as: lower secondary or less, upper secondary and tertiary. In logistic regressions of 5451 complete cases, stratified by gender, declaring less than average health was regressed on education, before and after adjusting for psychosocial, material and behavioural factors. In analyses adjusted for socio-demographic characteristics, compared with those educated up to lower secondary level, tertiary education was associated with lower risk of less than average health for both men and women. Including material factors (income quintiles, housing assets, labour market status) reduced the association between education and health by 55-64% in men and 35-47% in women. Inclusion of health behaviours (physical activity, smoking, alcohol consumption and body mass index) reduced the associations by 27-30% in men and 19-27% in women; in most cases including psychosocial factors (marital status, living alone, trust in family and friends) did not reduce the size of the associations. Including all potential explanatory factors reduced the associations by 68-84% in men and 43-60% in women. The education gradient in self-rated health in Ukraine was partly accounted for by material and behavioural factors. In addition to health behaviours, policymakers should consider upstream determinants of health inequalities, such as joblessness and poverty. © The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  2. Prioritizing child health interventions in Ethiopia: modeling impact on child mortality, life expectancy and inequality in age at death.

    Directory of Open Access Journals (Sweden)

    Kristine Husøy Onarheim

    Full Text Available BACKGROUND: The fourth Millennium Development Goal calls for a two-thirds reduction in under-5 mortality between 1990 and 2015. Under-5 mortality rate is declining, but many countries are still far from achieving the goal. Effective child health interventions that could reduce child mortality exist, but national decision-makers lack contextual information for priority setting in their respective resource-constrained settings. We estimate the potential health impact of increasing coverage of 14 selected health interventions on child mortality in Ethiopia (2011-2015. We also explore the impact on life expectancy and inequality in the age of death (Gini(health. METHODS AND FINDINGS: We used the Lives Saved Tool to estimate potential impact of scaling-up 14 health interventions in Ethiopia (2011-2015. Interventions are scaled-up to 1 government target levels, 2 90% coverage and 3 90% coverage of the five interventions with the highest impact. Under-5 mortality rate, neonatal mortality rate and deaths averted are primary outcome measures. We used modified life tables to estimate impact on life expectancy at birth and inequality in the age of death (Gini(health. Under-5 mortality rate declines from 101.0 in 2011 to 68.8, 42.1 and 56.7 per 1000 live births under these three scenarios. Prioritizing child health would also increase life expectancy at birth from expected 60.5 years in 2015 to 62.5, 64.2 and 63.4 years and reduce inequality in age of death (Gini(health substantially from 0.24 to 0.21, 0.18 and 0.19. CONCLUSIONS: The Millennium Development Goal for child health is reachable in Ethiopia. Prioritizing child health would also increase total life expectancy at birth and reduce inequality in age of death substantially (Gini(health.

  3. Explaining changes in child health inequality in the run up to the 2015 Millennium Development Goals (MDGs): The case of Zambia

    Science.gov (United States)

    Hangoma, Peter; Aakvik, Arild; Robberstad, Bjarne

    2017-01-01

    Background Child health interventions were drastically scaled up in the period leading up to 2015 as countries aimed at meeting the 2015 target of the Millennium Development Goals (MDGs). MDGs were defined in terms of achieving improvements in average health. Significant improvements in average child health are documented, but evidence also points to rising inequality. It is important to investigate factors that drive the increasing disparities in order to inform the post-2015 development agenda of reducing inequality, as captured in the Sustainable Development Goals (SDGs). We investigated changes in socioeconomic inequality in stunting and fever in Zambia in 2007 and 2014. Unlike the huge literature that seeks to quantify the contribution of different determinants on the observed inequality at any given time, we quantify determinants of changes in inequality. Methods Data from the 2007 and 2014 waves of the Zambia Demographic and Health Survey (DHS) were utilized. Our sample consisted of children aged 0–5 years (n = 5,616 in 2007 and n = 12,714 in 2014). We employed multilevel models to assess the determinants of stunting and fever, which are two important child health indicators. The concentration index (CI) was used to measure the magnitude of inequality. Changes in inequality of stunting and fever were investigated using Oaxaca-type decomposition of the CI. In this approach, the change in the CI for stunting/fever is decomposed into changes in CI for each determinant and changes in the effect—measured as an elasticity—of each determinant on stunting/fever. Results While average rates of stunting reduced in 2014 socioeconomic inequality in stunting increased significantly. Inequality in fever incidence also increased significantly, but average rates of fever did not reduce. The increase in the inequality (CI) of determinants accounted for the largest part (42.5%) of the increase in inequality of stunting, while the increase in the effect of determinants

  4. Explaining changes in child health inequality in the run up to the 2015 Millennium Development Goals (MDGs: The case of Zambia.

    Directory of Open Access Journals (Sweden)

    Peter Hangoma

    Full Text Available Child health interventions were drastically scaled up in the period leading up to 2015 as countries aimed at meeting the 2015 target of the Millennium Development Goals (MDGs. MDGs were defined in terms of achieving improvements in average health. Significant improvements in average child health are documented, but evidence also points to rising inequality. It is important to investigate factors that drive the increasing disparities in order to inform the post-2015 development agenda of reducing inequality, as captured in the Sustainable Development Goals (SDGs. We investigated changes in socioeconomic inequality in stunting and fever in Zambia in 2007 and 2014. Unlike the huge literature that seeks to quantify the contribution of different determinants on the observed inequality at any given time, we quantify determinants of changes in inequality.Data from the 2007 and 2014 waves of the Zambia Demographic and Health Survey (DHS were utilized. Our sample consisted of children aged 0-5 years (n = 5,616 in 2007 and n = 12,714 in 2014. We employed multilevel models to assess the determinants of stunting and fever, which are two important child health indicators. The concentration index (CI was used to measure the magnitude of inequality. Changes in inequality of stunting and fever were investigated using Oaxaca-type decomposition of the CI. In this approach, the change in the CI for stunting/fever is decomposed into changes in CI for each determinant and changes in the effect-measured as an elasticity-of each determinant on stunting/fever.While average rates of stunting reduced in 2014 socioeconomic inequality in stunting increased significantly. Inequality in fever incidence also increased significantly, but average rates of fever did not reduce. The increase in the inequality (CI of determinants accounted for the largest part (42.5% of the increase in inequality of stunting, while the increase in the effect of determinants explained 35% of the

  5. Social inequalities in health among the elderly

    Directory of Open Access Journals (Sweden)

    Marilisa Berti de Azevedo Barros

    2011-01-01

    Full Text Available The aim of the present study was to assess social inequalities in health status, health behavior and the use of health services based on education level. A population-based cross-sectional study was carried out involving 1,518 elderly residents of Campinas, São Paulo State, Brazil. Significant demographic and social differences were found between schooling strata. Elderly individuals with a higher degree of schooling are in greater proportion alcohol drinkers, physically active, have healthier diets and a lower prevalence of hypertension, diabetes, dizziness, headaches, back pain, visual impairment and denture use, and better self-rated health. But, there were no differences in the use of health services in the previous two weeks, in hospitalizations or surgeries in the previous year, nor in medicine intake over the previous three days. Among elderly people with hypertension and diabetes, there were no differences in the regular use of health services and medication. The results demonstrate social inequalities in different health indicators, along with equity in access to some health service components.

  6. Developing explanatory models of health inequalities in childhood dental caries

    DEFF Research Database (Denmark)

    Pine, Cynthia M; Adair, Pauline M; Petersen, Poul Erik

    2004-01-01

    OBJECTIVE: Long-term aim is to determine optimum interventions to reduce dental caries in children in disadvantaged communities and minimise the effects of exclusion from health care systems, of ethnic diversity, and health inequalities. DESIGN: Generation of initial explanatory models, study...... in developing and delivering this multi-centre study. Experience gained will support the development of substantive trials and longitudinal studies to address the considerable international health disparity of childhood dental caries....... protocol and development of two standardised measures. First, to investigate how parental attitudes may impact on their children's oral health-related behaviours and second, to assess how dentists' attitudes may impact on the provision of dental care. SUBJECTS: Core research team, lead methodologists, 44...

  7. Income-related inequalities in diseases and health conditions over the business cycle.

    Science.gov (United States)

    Ásgeirsdóttir, Tinna Laufey; Jóhannsdóttir, Hildur Margrét

    2017-12-01

    How business cycles affect income-related distribution of diseases and health disorders is largely unknown. We examine how the prevalence of thirty diseases and health conditions is distributed across the income spectrum using survey data collected in Iceland in 2007, 2009 and 2012. Thus, we are able to take advantage of the unusually sharp changes in economic conditions in Iceland during the Great Recession initiated in 2008 and the partial recovery that had already taken place by 2012 to analyze how income-related health inequality changed across time periods that can be described as a boom, crisis and recovery. The concentration curve and the concentration index are calculated for each disease, both overall and by gender. In all cases, we find a considerable income-related health inequality favoring higher income individuals, with a slight increase over the study period. Between 2007 and 2009, our results indicate increased inequality for women but decreased inequality for men. Between 2009 and 2012 on the contrary, men's inequality increases but women's decreases. The overarching result is thus that the economic hardship of the crisis temporarily increased female income-related health inequality, but decreased that of men.

  8. Social determinants of health and health inequities in Nakuru (Kenya

    Directory of Open Access Journals (Sweden)

    Grenier Francis R

    2009-05-01

    Full Text Available Abstract Background Dramatic inequalities dominate global health today. The rapid urban growth sustained by Kenya in the last decades has created many difficulties that also led to worsening inequalities in health care. The continuous decline in its Human Development Index since the 1990s highlights the hardship that continues to worsen in the country, against the general trend of Sub-Saharan Africa. This paper examines the health status of residents in a major urban centre in Kenya and reviews the effects of selected social determinants on local health. Methods Through field surveys, focus group discussions and a literature review, this study canvasses past and current initiatives and recommends priority actions. Results Areas identified which unevenly affect the health of the most vulnerable segments of the population were: water supply, sanitation, solid waste management, food environments, housing, the organization of health care services and transportation. Conclusion The use of a participatory method proved to be a useful approach that could benefit other urban centres in their analysis of social determinants of health.

  9. Health inequalities by socioeconomic characteristics in Spain: the economic crisis effect.

    Science.gov (United States)

    Barroso, Clara; Abásolo, Ignacio; Cáceres, José J

    2016-04-11

    An economic crisis can widen health inequalities between individuals. The aim of this paper is to explore differences in the effect of socioeconomic characteristics on Spaniards' self-assessed health status, depending on the Spanish economic situation. Data from the 2006-2007 and 2011-2012 National Health Surveys were used and binary logit and probit models were estimated to approximate the effects of socioeconomic characteristics on the likelihood to report good health. The difference between high and low education levels leads to differences in the likelihood to report good health of 16.00-16.25 and 18.15-18.22 percentage points in 2006-07 and 2011-12, respectively. In these two periods, the difference between employees and unemployed is 5.24-5.40 and 4.60-4.90 percentage points, respectively. Additionally, the difference between people who live in households with better socioeconomic conditions and those who are in worse situation reaches 5.37-5.46 and 3.63-3.74 percentage points for the same periods, respectively. The magnitude of the contribution of socioeconomic characteristics to health inequalities changes with the economic cycle; but this effect is different depending on the socioeconomic characteristics indicator that is being measured. In recessive periods, health inequalities due to education level increase, but those linked to individual professional status and household living conditions are attenuated. When the joint effects of individuals' characteristics are considered, the economic crisis brings about a slight increase in the inequalities in the probability of reporting good health between the two extreme profiles of individuals. The design of public policies aimed at preventing any worsening of health inequalities during recession periods should take into account these differential effects of socioeconomic characteristics indicators on health inequalities.

  10. Exploring ethnic inequalities in health: Evidence from the Health Survey for England, 1998-2011

    OpenAIRE

    Darlington, F; Norman, P; Ballas, D; Exeter, DJ

    2015-01-01

    Issues of social justice and social and spatial inequalities in health have long been researched, yet there is a relative paucity of research on ethnic inequalities in health. Given the increasing ethnic diversity of England's population and the persistence of unjust differences in health this research is timely. We used annual data from the Health Survey for England between 1998 and 2011, combined into a time-series dataset, to examine the influence of socioeconomic and spatial factors on et...

  11. Causes and determinants of inequity in maternal and child health in Vietnam

    Directory of Open Access Journals (Sweden)

    Målqvist Mats

    2012-08-01

    Full Text Available Abstract Background Inequities in health are a major challenge for health care planners and policymakers globally. In Vietnam, rapid societal development presents a considerable risk for disadvantaged populations to be left behind. The aim of this review is to map the known causes and determinants of inequity in maternal and child health in Vietnam in order to promote policy action. Methods A review was performed through systematic searches of Pubmed and Proquest and manual searches of “grey literature.” A thematic content analysis guided by the conceptual framework suggested by the Commission on Social Determinants of Health was performed. Results More than thirty different causes and determinants of inequity in maternal and child health were identified. Some determinants worth highlighting were the influence of informal fees and the many testimonies of discrimination and negative attitudes from health staff towards women in general and ethnic minorities in particular. Research gaps were identified, such as a lack of studies investigating the influence of education on health care utilization, informal costs of care, and how psychosocial factors mediate inequity. Conclusions The evidence of corruption and discrimination as mediators of health inequity in Vietnam calls for attention and indicates a need for more structural interventions such as better governance and anti-discriminatory laws. More research is needed in order to fully understand the pathways of inequities in health in Vietnam and suggest areas for intervention for policy action to reach disadvantaged populations.

  12. Causes and determinants of inequity in maternal and child health in Vietnam.

    Science.gov (United States)

    Målqvist, Mats; Hoa, Dinh Thi Phuong; Thomsen, Sarah

    2012-08-11

    Inequities in health are a major challenge for health care planners and policymakers globally. In Vietnam, rapid societal development presents a considerable risk for disadvantaged populations to be left behind. The aim of this review is to map the known causes and determinants of inequity in maternal and child health in Vietnam in order to promote policy action. A review was performed through systematic searches of Pubmed and Proquest and manual searches of "grey literature." A thematic content analysis guided by the conceptual framework suggested by the Commission on Social Determinants of Health was performed. More than thirty different causes and determinants of inequity in maternal and child health were identified. Some determinants worth highlighting were the influence of informal fees and the many testimonies of discrimination and negative attitudes from health staff towards women in general and ethnic minorities in particular. Research gaps were identified, such as a lack of studies investigating the influence of education on health care utilization, informal costs of care, and how psychosocial factors mediate inequity. The evidence of corruption and discrimination as mediators of health inequity in Vietnam calls for attention and indicates a need for more structural interventions such as better governance and anti-discriminatory laws. More research is needed in order to fully understand the pathways of inequities in health in Vietnam and suggest areas for intervention for policy action to reach disadvantaged populations.

  13. Addressing health inequalities in the delivery of the human papillomavirus vaccination programme: examining the role of the school nurse.

    Directory of Open Access Journals (Sweden)

    Tammy Boyce

    Full Text Available HPV immunisation of adolescent girls is expected to have a significant impact in the reduction of cervical cancer. UK The HPV immunisation programme is primarily delivered by school nurses. We examine the role of school nurses in delivering the HPV immunisation programme and their impact on minimising health inequalities in vaccine uptake.A rapid evidence assessment (REA and semi-structured interviews with health professionals were conducted and analysed using thematic analysis. 80 health professionals from across the UK are interviewed, primarily school nurses and HPV immunisation programme coordinators. The REA identified 2,795 articles and after analysis and hand searches, 34 relevant articles were identified and analysed. Interviews revealed that health inequalities in HPV vaccination uptake were mainly related to income and other social factors in contrast to published research which emphasises potential inequalities related to ethnicity and/or religion. Most school nurses interviewed understood local health inequalities and made particular efforts to target girls who did not attend or missed doses. Interviews also revealed maintaining accurate and consistent records influenced both school nurses' understanding and efforts to target inequalities in HPV vaccination uptake.Despite high uptake in the UK, some girls remain at risk of not being vaccinated with all three doses. School nurses played a key role in reducing health inequalities in the delivery of the HPV programme. Other studies identified religious beliefs and ethnicity as potentially influencing HPV vaccination uptake but interviews for this research found this appeared not to have occurred. Instead school nurses stated girls who were more likely to be missed were those not in education. Improving understanding of the delivery processes of immunisation programmes and this impact on health inequalities can help to inform solutions to increase uptake and address health inequalities

  14. [Socioeconomic inequality and health in Mexico].

    Science.gov (United States)

    Ortiz-Hernández, Luis; Pérez-Salgado, Diana; Tamez-González, Silvia

    2015-01-01

    To establish the relationship between socioeconomic inequality and health problems amongst Mexican population reviewing studies with national or regional representation. A literature search was performed at national and international databases using the following keywords: health, disease, mental disorders, nutrition, food, social class, social status, unemployment, employment, occupation, income, wage, poverty and socioeconomic status. Reports of national or regional surveys conducted from the nineties were included. Mostly, diseases events were more common among people from low socioeconomic status: anencephaly, viral infections, anemia, transit accidents by run over, metabolic syndrome, hypertension, affective disorder, anxiety and substances abuse; some malignancies, difficulties to perform activities of daily living, and poor perceived health status. On the opposite, as it goes down in the social scale, are less frequent some protective factors (e.g. fruits or vegetables intake and physical activity) and there is less access to medical aid and preventive interventions (e.g. condom use or diagnosis and treatment for HIV infection, hypertension or obesity). Socioeconomic status affects all living conditions; therefore, its effects are not confined to certain diseases, but a general precarious state of health. The conceptual and public policy implications related with social inequalities in health are discussed.

  15. Towards universal health coverage: the role of within-country wealth-related inequality in 28 countries in sub-Saharan Africa.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Victora, Cesar G; Bergen, Nicole; Barros, Aluisio J D; Boerma, Ties

    2011-12-01

    To measure within-country wealth-related inequality in the health service coverage gap of maternal and child health indicators in sub-Saharan Africa and quantify its contribution to the national health service coverage gap. Coverage data for child and maternal health services in 28 sub-Saharan African countries were obtained from the 2000-2008 Demographic Health Survey. For each country, the national coverage gap was determined for an overall health service coverage index and select individual health service indicators. The data were then additively broken down into the coverage gap in the wealthiest quintile (i.e. the proportion of the quintile lacking a required health service) and the population attributable risk (an absolute measure of within-country wealth-related inequality). In 26 countries, within-country wealth-related inequality accounted for more than one quarter of the national overall coverage gap. Reducing such inequality could lower this gap by 16% to 56%, depending on the country. Regarding select individual health service indicators, wealth-related inequality was more common in services such as skilled birth attendance and antenatal care, and less so in family planning, measles immunization, receipt of a third dose of vaccine against diphtheria, pertussis and tetanus and treatment of acute respiratory infections in children under 5 years of age. The contribution of wealth-related inequality to the child and maternal health service coverage gap differs by country and type of health service, warranting case-specific interventions. Targeted policies are most appropriate where high within-country wealth-related inequality exists, and whole-population approaches, where the health-service coverage gap is high in all quintiles.

  16. Addressing Health Inequities: Coronary Heart Disease Training within Learning Disabilities Services

    Science.gov (United States)

    Holly, Deirdre; Sharp, John

    2014-01-01

    People with learning disabilities are at increased risk of coronary heart disease (CHD). Research suggests this may be due to inequalities in health status and inequities in the way health services respond to need. Little is known about the most effective way to improve health outcomes for people with learning disabilities. A previously developed…

  17. Inequalities in health--future threats to equity.

    Science.gov (United States)

    Gunning-Schepers, L J; Stronks, K

    1999-01-01

    In discussions about equity there is a tendency to focus on the inequalities in health status that appear to be the result of the material and immaterial consequences of a lower income, professional or social status in society. If we look at publications such as the Black Report in the UK or Ongelijke gezondheid in The Netherlands, we have to accept that despite our universal access to healthcare and the existence in many Western countries of social security measures that preclude 'real' poverty, considerable differences in health continue to exist between socioeconomic groups. This is corroborated for many other European countries in the research carried out by a concerted action led by Mackenbach. These inequalities in health have been referred to in many countries as inequities, meaning that society finds them unjust and expects them to be 'avoidable' or amenable to policy interventions. However, the research on the causal networks underlying the occurrence and the avoidability of inequalities in health remains sparse and intervention studies seem to focus on policy measures that can be evaluated, but which will most likely have a limited impact on the inequalities measured at the population level. Thus the research community leaves policymakers with very little evidence on which to build policy initiatives that are nevertheless requested by many governments. The third element, which needs to be addressed in this context, is the ominous inequality in access to healthcare. Since the debate on equity in health has rightly been initiated in the context of a broader, more intersectoral approach to health policy, very little attention has been paid, so far, to the issue of universal access to quality healthcare services. This is because in the second half of this century most Western (European) countries have created a healthcare system with universal access, financed either through taxation or through social insurance schemes. It is these financing systems that will

  18. Noise nuisance and health inequalities in Belgium: a population study

    OpenAIRE

    Schmit, C; Lorant, V

    2009-01-01

    Context Lower socioeconomic groups are more likely to live in contaminated environments. This may partly explain socioeconomic health inequalities. Aims Does noise nuisance contribute to socio-economic inequalities in subjective health? Method This research is based on the last Belgian census data carried out in 2001. We work on a 10% sample of the Belgian population. The data are processed through bivariate and multivariate analyses. We model poor subjective health in relation to exposure to...

  19. Do social inequalities in health widen or converge with age? Longitudinal evidence from three cohorts in the West of Scotland

    Directory of Open Access Journals (Sweden)

    Benzeval Michaela

    2011-12-01

    Full Text Available Abstract Background Existing studies are divided as to whether social inequalities in health widen or converge as people age. In part this is due to reliance on cross-sectional data, but also among longitudinal studies to differences in the measurement of both socioeconomic status (SES and health and in the treatment of survival effects. The aim of this paper is to examine social inequalities in health as people age using longitudinal data from the West of Scotland Twenty-07 Study to investigate the effect of selective mortality, the timing of the SES measure and cohort on the inequality patterns. Methods The Twenty-07 Study has followed three cohorts, born around 1932, 1952 and 1972, from 1987/8 to 2007/8; 4,510 respondents were interviewed at baseline and, at the most recent follow-up, 2,604 were interviewed and 674 had died. Hierarchical repeated-measures models were estimated for self-assessed health status, with and without mortality, with baseline or time-varying social class, sex and cohort. Results Social inequalities in health emerge around the age of 30 after which they widen until the early 60s and then begin to narrow, converging around the age of 75. This pattern is a result of those in manual classes reporting poor health at younger ages, with the gap narrowing as the health of those in non-manual classes declines at older ages. However, employing a more proximal measure of SES reduces inequalities in middle age so that convergence of inequalities is not apparent in old age. Including death in the health outcome steepens the health trajectories at older ages, especially for manual classes, eliminating the convergence in health inequalities, suggesting that healthy survival effects are important. Cohort effects do not appear to affect the pattern of inequalities in health as people age in this study. Conclusions There is a general belief that social inequalities in health appear to narrow at older ages; however, taking account of

  20. Beyond the income inequality hypothesis and human health: a worldwide exploration.

    Science.gov (United States)

    Idrovo, Alvaro J; Ruiz-Rodríguez, Myriam; Manzano-Patiño, Abigail P

    2010-08-01

    To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corruption Perceptions Index (an indirect indicator of social capital) was used to include more developing countries in the analysis. The correlation between Gini coefficient and predictor variables was calculated using Spearman's coefficients. The path analysis was designed to assess the effect of income inequality, social capital proxies and political regime on life expectancy. The path coefficients suggest that income inequality has a greater direct effect on life expectancy at birth than through social capital. Political regime acts on life expectancy at birth through income inequality. Income inequality and social capital have direct effects on life expectancy at birth. The "class/welfare regime model" can be useful for understanding social and health inequalities between countries, whereas the "income inequality hypothesis" which is only a partial approach is especially useful for analyzing differences within countries.

  1. Using Health Literacy in School to Overcome Inequalities

    Science.gov (United States)

    Flecha, Ainhoa; Garcia, Rocio; Rudd, Rima

    2011-01-01

    Health literacy has firmly established the links between literacy skills and health outcomes and is subsequently considered a key strategy for improving the health of disadvantaged populations and addressing social inequality. However, current research findings for improving health literacy have primarily focused on adults and actions within…

  2. [Gender inequality and reproductive health: a perspective for the program].

    Science.gov (United States)

    Szasz, I

    1993-01-01

    Research on the influence of the social, economic, and cultural context on reproductive health is just beginning in Mexico. Because health risks and damage appear to be associated with living conditions of the population, the mechanisms through which social inequality affects reproductive health should be analyzed. Gender inequality is of particular importance to the study of reproductive health. The construction of feminine identity, centered on motherhood and the ability to relate to others, has decisive consequences for self-esteem, social valuation, and the capacity of women to make decisions and act in their own self interest. The obstacles that women face in making decisions about sexuality and reproduction have psychological, affective, and health costs. Women living in contexts of limited female autonomy are often pressured into early pregnancy and union and to having large families. The need to satisfy expectations for their gender and social position, fear of being devalued or abandoned, and the desire to cement affective relationships may restrict their capacity to exercise their sexuality with autonomy and to separate it from procreation. The low rates of use of contraceptives by men and the almost exclusive focus on women of contraceptive technologies and programs also reflect the inequality of the sexes. The lesser access to resources and exercise of power by women in the household may lead to nutritional disadvantages, and societal standards that tolerate extramarital sexual activity for men but not for women leave women vulnerable to sexually transmitted diseases. The health effects of gender inequalities are magnified by poverty and other forms of social disadvantage. The Program of Reproductive Health and Society aims to contribute to improved reproductive health in the Mexican population through study of the consequences of social and gender inequality.

  3. Inequalities in South African health care

    African Journals Online (AJOL)

    address inequalities in health care should commence at the root causes .... sion and disrribution, bear in mind rhat rhere are also rhose mecha- nism and .... gle body is evidem in borh nawmal heallh service syscems and socialised heallh care ...

  4. Inequalities in South African health care

    African Journals Online (AJOL)

    the other to the population as cliemele of that system. Recently the ... divides from which inequalities in this sector emanate are those of .... power for private health care, and fewer srill are insured .... Nurses are mainly employed in public sector.

  5. Social inequality in diabetes patients' morbidity patterns from diagnosis to death

    DEFF Research Database (Denmark)

    Sortsø, Camilla; Lauridsen, Jørgen; Emneus, Martha

    2018-01-01

    AIM: Measuring socioeconomic inequalities in health and health care, and understanding determinants of such inequalities, are critical for achieving higher equity in health. Equity in health is a prerequisite for public health and welfare. The aim of the paper is (1) to quantify inequality in dia...... that diabetes impacts harder on patients of lower SES; these patients experience more severe complications and die earlier. Hence to reduce inequality in health, it is important to invest in efforts targeted towards socially vulnerable groups.......AIM: Measuring socioeconomic inequalities in health and health care, and understanding determinants of such inequalities, are critical for achieving higher equity in health. Equity in health is a prerequisite for public health and welfare. The aim of the paper is (1) to quantify inequality...... in diabetes morbidity patterns over patients' entire life span, and (2) to compare levels of inequality measured through income and educational level, respectively, as proxies for socioeconomic status (SES). METHOD: Historic individual register data on the entire Danish diabetes population alive in 2011 were...

  6. Assessing Opinions in Community Leadership Networks to Address Health Inequalities: A Case Study from Project IMPACT

    Science.gov (United States)

    McCauley, M. P.; Ramanadhan, S.; Viswanath, K.

    2015-01-01

    This study demonstrates a novel approach that those engaged in promoting social change in health can use to analyze community power, mobilize it and enhance community capacity to reduce health inequalities. We used community reconnaissance methods to select and interview 33 participants from six leadership sectors in "Milltown", the New…

  7. Socioeconomic Inequalities in Mental Health of Adult Population: Serbian National Health Survey

    Directory of Open Access Journals (Sweden)

    Milena Santric Milicevic

    2016-02-01

    those with partner, and employed persons. Those with perceived good health status had lower odds for poor MHI-5, chronic anxiety or depression than those whose general health was average and poor. Conclusion: Almost half of the population assessed their mental health as poor and 5% had diagnosed chronic anxiety or depression. Multi-sectoral socioeconomic and female-sensitive policies should be wisely tailored to reduce mental health inequalities contributed by differences in age, education, employment, marriage and the wealth status of the adult population.

  8. Socioeconomic hierarchy and health gradient in Europe: the role of income inequality and of social origins.

    Science.gov (United States)

    Chauvel, Louis; Leist, Anja K

    2015-11-14

    Health inequalities reflect multidimensional inequality (income, education, and other indicators of socioeconomic position) and vary across countries and welfare regimes. To which extent there is intergenerational transmission of health via parental socioeconomic status has rarely been investigated in comparative perspective. The study sought to explore if different measures of stratification produce the same health gradient and to which extent health gradients of income and of social origins vary with level of living and income inequality. A total of 299,770 observations were available from 18 countries assessed in EU-SILC 2005 and 2011 data, which contain information on social origins. Income inequality (Gini) and level of living were calculated from EU-SILC. Logit rank transformation provided normalized inequalities and distributions of income and social origins up to the extremes of the distribution and was used to investigate net comparable health gradients in detail. Multilevel random-slope models were run to post-estimate best linear unbiased predictors (BLUPs) and related standard deviations of residual intercepts (median health) and slopes (income-health gradients) per country and survey year. Health gradients varied across different measures of stratification, with origins and income producing significant slopes after controls. Income inequality was associated with worse average health, but income inequality and steepness of the health gradient were only marginally associated. Linear health gradients suggest gains in health per rank of income and of origins even at the very extremes of the distribution. Intergenerational transmission of status gains in importance in countries with higher income inequality. Countries differ in the association of income inequality and income-related health gradient, and low income inequality may mask health problems of vulnerable individuals with low status. Not only income inequality, but other country characteristics such

  9. Steps Toward Technology Design to Beat Health Inequality

    DEFF Research Database (Denmark)

    Bertelsen, Pernille Scholdan; Kanstrup, Anne Marie; Madsen, Jacob

    2017-01-01

    workers in the neighbourhood and how this participatory approach supported a first step toward HIT design that tackles health inequality. This is important, as people in neighbourhoods with high health risks are not the target audience for the health technology innovation currently taking place despite...

  10. Socioeconomic inequality in health in the British Household Panel

    DEFF Research Database (Denmark)

    Foverskov, Else; Holm, Anders

    2016-01-01

    Despite social inequality in health being well documented, it is still debated which causal mechanism best explains the negative association between socioeconomic position (SEP) and health. This paper is concerned with testing the explanatory power of three widely proposed causal explanations...... for social inequality in health in adulthood: the social causation hypothesis (SEP determines health), the health selection hypothesis (health determines SEP) and the indirect selection hypothesis (no causal relationship). We employ dynamic data of respondents aged 30 to 60 from the last nine waves...... of the British Household Panel Survey. Household income and location on the Cambridge Scale is included as measures of different dimensions of SEP and health is measured as a latent factor score. The causal hypotheses are tested using a time-based Granger approach by estimating dynamic fixed effects panel...

  11. Socioeconomic inequality in health in the British household panel

    DEFF Research Database (Denmark)

    Foverskov, Else; Holm, Anders

    2016-01-01

    Despite social inequality in health being well documented, it is still debated which causal mechanism best explains the negative association between socioeconomic position (SEP) and health. This paper is concerned with testing the explanatory power of three widely proposed causal explanations...... for social inequality in health in adulthood: the social causation hypothesis (SEP determines health), the health selection hypothesis (health determines SEP) and the indirect selection hypothesis (no causal relationship). We employ dynamic data of respondents aged 30 to 60 from the last nine waves...... of the British Household Panel Survey. Household income and location on the Cambridge Scale is included as measures of different dimensions of SEP and health is measured as a latent factor score. The causal hypotheses are tested using a time-based Granger approach by estimating dynamic fixed effects panel...

  12. Horizontal Inequity in Health Care Utilization among the Middle-Aged and Elderly in China.

    Science.gov (United States)

    Li, Chaofan; Dou, Lei; Wang, Haipeng; Jing, Shanshan; Yin, Aitian

    2017-07-26

    Equitable utilization of health care is a primary goal of the Chinese health system. This study aimed to examine horizontal inequity in health care utilization and identify the factors resulting in inequity among the middle-aged and elderly in China. The data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). We employed the concentration index (CI) and horizontal inequity (HI) to measure inequity in health care utilization. Non-linear regression models were used to decompose the CI into the contribution of each factor. The CIs for the probability of and total number of outpatient visits were 0.0642 and 0.0780, respectively, and those for inpatient visits were 0.1418 and 0.1471, respectively. The HIs were also significantly positive. Living standard was the most important contributor. The contribution of health insurance varied between plans. This study supported the presence of pro-rich inequity in health care utilization for both probability and frequency among the middle-aged and elderly in China. Narrowing the living standard gap and improving the health insurance benefit package for the elderly should help to resolve these inequities.

  13. Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

    Directory of Open Access Journals (Sweden)

    Ankur Singh

    Full Text Available A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (<21 teeth and poor self-rated oral health among Australian adults. Variations in the association between area-level income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared.For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income.LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87 after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality.Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income

  14. Trends in socioeconomic inequalities in self-assessed health in 10 European countries

    DEFF Research Database (Denmark)

    Kunst, Anton E; Bos, Vivian; Lahelma, Eero

    2005-01-01

    BACKGROUND: Changes over time in inequalities in self-reported health are studied for increasingly more countries, but a comprehensive overview encompassing several countries is still lacking. The general aim of this article is to determine whether inequalities in self-assessed health in 10...... Germany, Austria, Italy, and Spain. The proportion of respondents with self-assessed health less than 'good' was measured in relation to educational level and income level. Inequalities were measured by means of age-standardized prevalence rates and odds ratios (ORs). RESULTS: Socioeconomic inequalities...... in self-assessed health showed a high degree of stability in European countries. For all countries together, the ORs comparing low with high educational levels remained stable for men (2.61 in the 1980s and 2.54 in the 1990s) but increased slightly for women (from 2.48 to 2.70). The ORs comparing extreme...

  15. The Health Effects of Income Inequality: Averages and Disparities.

    Science.gov (United States)

    Truesdale, Beth C; Jencks, Christopher

    2016-01-01

    Much research has investigated the association of income inequality with average life expectancy, usually finding negative correlations that are not very robust. A smaller body of work has investigated socioeconomic disparities in life expectancy, which have widened in many countries since 1980. These two lines of work should be seen as complementary because changes in average life expectancy are unlikely to affect all socioeconomic groups equally. Although most theories imply long and variable lags between changes in income inequality and changes in health, empirical evidence is confined largely to short-term effects. Rising income inequality can affect individuals in two ways. Direct effects change individuals' own income. Indirect effects change other people's income, which can then change a society's politics, customs, and ideals, altering the behavior even of those whose own income remains unchanged. Indirect effects can thus change both average health and the slope of the relationship between individual income and health.

  16. Stagnant Neonatal Mortality and Persistent Health Inequality in Middle-Income Countries: A Case Study of the Philippines

    Science.gov (United States)

    Kraft, Aleli D.; Nguyen, Kim-Huong; Jimenez-Soto, Eliana; Hodge, Andrew

    2013-01-01

    Background The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country’s socioeconomic-related child health inequality. Methodology Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Findings Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. Conclusion The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality – that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system – to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child

  17. Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines.

    Directory of Open Access Journals (Sweden)

    Aleli D Kraft

    Full Text Available BACKGROUND: The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country's socioeconomic-related child health inequality. METHODOLOGY: Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. FINDINGS: Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education, regional location, and access to health services, such as facility-based delivery. CONCLUSION: The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality--that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system--to re-start the long term decline in neonatal mortality and to reduce persistent within

  18. Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines.

    Science.gov (United States)

    Kraft, Aleli D; Nguyen, Kim-Huong; Jimenez-Soto, Eliana; Hodge, Andrew

    2013-01-01

    The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country's socioeconomic-related child health inequality. Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality--that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system--to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child health.

  19. Inequities in accessibility to and utilisation of maternal health services in Ghana after user-fee exemption: a descriptive study.

    Science.gov (United States)

    Ganle, John K; Parker, Michael; Fitzpatrick, Raymond; Otupiri, Easmon

    2014-11-01

    Inequities in accessibility to, and utilisation of maternal healthcare services impede progress towards attainment of the maternal health-related Millennium Development Goals. The objective of this study is to examine the extent to which maternal health services are utilised in Ghana, and whether inequities in accessibility to and utilization of services have been eliminated following the implementation of a user-fee exemption policy, that aims to reduce financial barriers to access, reduce inequities in access, and improve access to and use of birthing services. We analyzed data from the 2007 Ghana Maternal Health Survey for inequities in access to and utilization of maternal health services. In measuring the inequities, frequency tables and cross-tabulations were used to compare rates of service utilization by region, residence and selected socio-demographic variables. Findings show marginal increases in accessibility to and utilisation of skilled antenatal, delivery and postnatal care services following the policy implementation (2003-2007). However, large gradients of inequities exist between geographic regions, urban and rural areas, and different socio-demographic, religious and ethnic groupings. More urban women (40%) than rural, 53% more women in the highest wealth quintile than women in the lowest, 38% more women in the best performing region (Central Region) than the worst (Upper East Region), and 48% more women with at least secondary education than those with no formal education, accessed and used all components of skilled maternal health services in the five years preceding the survey. Our findings raise questions about the potential equity and distributional benefits of Ghana's user-fee exemption policy, and the role of non-financial barriers or considerations. Exempting user-fees for maternal health services is a promising policy option for improving access to maternal health care, but might be insufficient on its own to secure equitable access to

  20. New report highlights epidemic of tobacco and global health inequalities

    Science.gov (United States)

    A new set of 11 global health studies calls attention to the burden of tobacco-related inequalities in low- and middle-income countries and finds that socioeconomic inequalities are associated with increased tobacco use, second-hand smoke exposure and tob

  1. The Relationship between Income Inequality and Inequality in Schooling

    Science.gov (United States)

    Mayer, Susan E.

    2010-01-01

    Children of affluent parents get more schooling than children of poor parents, which seems to imply that reducing income inequality would reduce inequality in schooling. Similarly, one of the best predictors of an individual's income is his educational attainment, which seems to imply that reducing inequality in schooling will reduce income…

  2. Poverty and inequality - but of what - as social determinants of health in Africa?

    Science.gov (United States)

    Worku, Eshetu B; Woldesenbet, Selamawit A

    2015-12-01

    Many African economies have achieved substantial economic growth over the past recent years, yet several of the Millennium Development Goals (MDGs) including those concerned with health, remain considerably behind target. This paper examines whether progress towards these goals is being hampered by existing levels of poverty and income inequality. It also considers whether the inequality hypothesis of Wilkinson and Pickett1 applies to population health outcomes in African states. Correlation analysis and scatter plots were used to assess graphically the link between variations in health outcomes, level of poverty and income inequality in different countries. Health status outcomes were measured by using four indicators: infant and under-five (child) mortality rates; maternal mortality ratios; and life expectancy at birth. In each of the 52 African nations, the proportion of the population living below the poverty line is used as an indicator of the level of poverty and Gini coefficient as a measure of income inequality. The study used a comprehensive review of secondary and relevant literature that are pertinent in the subject area. The data datasets obtained online from UNICEF2 and UNDP3 (2009) used to test the research questions. World Health Organization the three broad dimensions to consider when moving towards better population health outcome through Universal Health Coverage and the Social Determinants of Health framework reviewed to establish the poverty and income inequality link in African countries population health outcomes. The study shows that poverty is strongly associated with all health outcome differences in Africa (IMR, cc = 0.63; U5MR, cc = 0.64; MMR, cc = 0.49; life expectancy at birth, cc = -0.67); income inequality with only one of the four indicators (IMR, cc = 0.14; U5MR, cc = 0.07; MMR, cc = 0.22; life expectancy at birth, cc = -0.49), whereas income inequality is associated with one of the four indicators. The study shows that tackling

  3. Social policies and the pathways to inequalities in health

    DEFF Research Database (Denmark)

    Whitehead, M; Burström, B; Diderichsen, Finn

    2000-01-01

    in relation to the identified policy entry points. Overall, in Britain, around 50% of the health disadvantage of lone mothers is accounted for by the mediating factors of poverty and joblessness, whereas in Sweden these factors only account for between 3% and 13% of the health gap. The final section discusses......The aim of this study is to contribute to the emerging field of health inequalities impact assessment. It develops further a conceptual framework that encompasses the policy context as well as the pathways leading from social position to inequalities in health. It then uses this framework...... the implications of the findings for future policy intervention and research in the two countries....

  4. Socioeconomic determinants of health inequalities among the older population in India: a decomposition analysis.

    Science.gov (United States)

    Goli, Srinivas; Singh, Lucky; Jain, Kshipra; Pou, Ladumai Maikho Apollo

    2014-12-01

    This study quantified and decomposed health inequalities among the older population in India and analyzes how health status varies for populations between 60 to 69 years and 70 years and above. Data from the 60th round of the National Sample Survey (NSS) was used for the analyses. Socioeconomic inequalities in health status were measured by using Concentration Index (CI) and further decomposed to find critical determinants and their relative contributions to total health inequality. Overall, CI estimates were negative for the older population as a whole (CI = -0.1156), as well as for two disaggregated groups, 60 to 69 years (CI = -0.0943) and 70 years and above (CI = -0.08198). This suggests that poor health status is more concentrated among the socioeconomically disadvantaged older population. Decomposition analyses revealed that poor economic status (54 %) is the dominant contributor to total health inequalities in the older population, followed by illiteracy (24 %) and rural place of residence (20 %). Other indicators, such as religion, gender and marital status were positive, while Caste was negatively associated with health inequality in the older populations. Finally, a comparative assessment of decomposition results suggest that critical contributors for health inequality vary for the older population of 60 to 69 years and 70 years and above. These findings provide important insights on health inequalities among the older population in India. Implications are advanced.

  5. Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

    Science.gov (United States)

    Singh, Ankur; Harford, Jane; Antunes, José Leopoldo Ferreira; Peres, Marco A

    2018-01-01

    A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia and other high-income countries.

  6. Area-level income inequality and oral health among Australian adults—A population-based multilevel study

    Science.gov (United States)

    2018-01-01

    Background A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. Methods For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. Results LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Conclusion Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia

  7. Income inequality, social capital and self-rated health and dental status in older Japanese.

    Science.gov (United States)

    Aida, Jun; Kondo, Katsunori; Kondo, Naoki; Watt, Richard G; Sheiham, Aubrey; Tsakos, Georgios

    2011-11-01

    The erosion of social capital in more unequal societies is one mechanism for the association between income inequality and health. However, there are relatively few multi-level studies on the relation between income inequality, social capital and health outcomes. Existing studies have not used different types of health outcomes, such as dental status, a life-course measure of dental disease reflecting physical function in older adults, and self-rated health, which reflects current health status. The objective of this study was to assess whether individual and community social capital attenuated the associations between income inequality and two disparate health outcomes, self-rated health and dental status in Japan. Self-administered questionnaires were mailed to subjects in an ongoing Japanese prospective cohort study, the Aichi Gerontological Evaluation Study Project in 2003. Responses in Aichi, Japan, obtained from 5715 subjects and 3451 were included in the final analysis. The Gini coefficient was used as a measure of income inequality. Trust and volunteering were used as cognitive and structural individual-level social capital measures. Rates of subjects reporting mistrust and non-volunteering in each local district were used as cognitive and structural community-level social capital variables respectively. The covariates were sex, age, marital status, education, individual- and community-level equivalent income and smoking status. Dichotomized responses of self-rated health and number of remaining teeth were used as outcomes in multi-level logistic regression models. Income inequality was significantly associated with poor dental status and marginally significantly associated with poor self-rated health. Community-level structural social capital attenuated the covariate-adjusted odds ratio of income inequality for self-rated health by 16% whereas the association between income inequality and dental status was not substantially changed by any social capital

  8. Decomposing socioeconomic inequality in self-rated health in Tehran.

    Science.gov (United States)

    Nedjat, Saharnaz; Hosseinpoor, Ahmad Reza; Forouzanfar, Mohammad Hossein; Golestan, Banafsheh; Majdzadeh, Reza

    2012-06-01

    Measuring the distribution of health is a part of assessing health system performance. This study aims to estimate health inequality between different socioeconomic groups and its determinants in Tehran, the capital of Iran. Self-rated health (SRH) and demographic characteristics, including gender, age, marital status, educational years, and assets, were measured by structured interviews of 2464 residents of Tehran in 2008. A concentration index was calculated to measure health inequality by economic status. The association of potential determinants and SRH was assessed through multivariate logistic regression. The contribution to concentration index of level of education, marital status and other determining factors was assessed by decomposition. The mean age of respondents was 41.4 years (SD 17.7) and 49% of them were men. The mean score of SRH status was 3.72 (range: 1-5; SD 0.93). 282 respondents (11.5%) rated their health status as poor or very poor. The concentration index was -0.29 (SE 0.03; pinequality in SRH were economic status (47.8%), level of education (29.2%) and age (23.0%). Sub-optimal SRH was more in lower than in higher economic status. After controlling for age, the levels of education and household wealth have the greatest contributions to SRH inequality.

  9. Nordic paradox, Southern miracle, Eastern disaster: persistence of inequalities in mortality in Europe.

    Science.gov (United States)

    Mackenbach, Johan P

    2017-10-01

    The persistence of socioeconomic inequalities in health, despite all that has been done to reduce social and economic inequalities in many European countries, is one of the great disappointments of public health. In this paper, I summarize the results of a series of studies into the explanation of variations and trends in inequalities in mortality in three European regions: the Nordic countries with their puzzlingly large inequalities in mortality, Southern European countries with their miraculously small inequalities in mortality and Central & Eastern European countries in which inequalities in mortality have disastrously exploded since the early 1990 s. The results of these studies show that inequalities in mortality are remarkably variable and dynamic, which suggests that it may be possible to reduce them if we exploit the entry-points for policy that these studies have also identified, such as poverty, smoking, excessive alcohol consumption and lack of access to health care. At the same time, another lesson is that health inequalities are influenced in sometimes unexpected ways by factors that are not under our control, and that we cannot expect to eliminate these health inequalities soon. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  10. Understanding determinants of socioeconomic inequality in mental health in Iran's capital, Tehran: a concentration index decomposition approach.

    Science.gov (United States)

    Morasae, Esmaeil Khedmati; Forouzan, Ameneh Setareh; Majdzadeh, Reza; Asadi-Lari, Mohsen; Noorbala, Ahmad Ali; Hosseinpoor, Ahmad Reza

    2012-03-26

    Mental health is of special importance regarding socioeconomic inequalities in health. On the one hand, mental health status mediates the relationship between economic inequality and health; on the other hand, mental health as an "end state" is affected by social factors and socioeconomic inequality. In spite of this, in examining socioeconomic inequalities in health, mental health has attracted less attention than physical health. As a first attempt in Iran, the objectives of this paper were to measure socioeconomic inequality in mental health, and then to untangle and quantify the contributions of potential determinants of mental health to the measured socioeconomic inequality. In a cross-sectional observational study, mental health data were taken from an Urban Health Equity Assessment and Response Tool (Urban HEART) survey, conducted on 22 300 Tehran households in 2007 and covering people aged 15 and above. Principal component analysis was used to measure the economic status of households. As a measure of socioeconomic inequality, a concentration index of mental health was applied and decomposed into its determinants. The overall concentration index of mental health in Tehran was -0.0673 (95% CI = -0.070 - -0.057). Decomposition of the concentration index revealed that economic status made the largest contribution (44.7%) to socioeconomic inequality in mental health. Educational status (13.4%), age group (13.1%), district of residence (12.5%) and employment status (6.5%) also proved further important contributors to the inequality. Socioeconomic inequalities exist in mental health status in Iran's capital, Tehran. Since the root of this avoidable inequality is in sectors outside the health system, a holistic mental health policy approach which includes social and economic determinants should be adopted to redress the inequitable distribution of mental health.

  11. Africanizing the social determinants of health: embedded structural inequalities and current health outcomes in sub-Saharan Africa.

    Science.gov (United States)

    Ichoku, Hyacinth Eme; Mooney, Gavin; Ataguba, John Ele-Ojo

    2013-01-01

    There is a growing interest in health policy in the social determinants of health. This has increased the demand for a paradigm shift within the discipline of health economics from health care economics to health economics. While the former involves what is essentially a medical model that emphasizes the maximization of individual health outcomes and considers the social organization of the health system as merely instrumental, the latter emphasizes that health and its distribution result from political, social, economic, and cultural structures. The discipline of health economics needs to refocus its energy on the social determinants of health but, in doing so, must dig deeper into the reasons for structurally embedded inequalities that give rise to inequalities in health outcomes. Especially is this the case in Africa and other low- and middle-income regions. This article seeks to provide empirical evidence from sub-Saharan Africa, including Ghana and Nigeria, on why such inequalities exist, arguing that these are in large part a product of hangovers from historically entrenched institutions. It argues that there is a need for research in health economics to embrace the social determinants of health, especially inequality, and to move away from its current mono-cultural focus.

  12. Robust rankings of socioeconomic health inequality using a categorical variable.

    Science.gov (United States)

    Makdissi, Paul; Yazbeck, Myra

    2017-09-01

    When assessing socioeconomic health inequalities, researchers often draw upon measures of income inequality that were developed for ratio scale variables. As a result, the use of categorical data (such as self-reported health status) produces rankings that may be arbitrary and contingent to the numerical scale adopted. In this paper, we develop a method that overcomes this issue by providing conditions for which these rankings are invariant to the numerical scale chosen by the researcher. In doing so, we draw on the insight provided by Allison and Foster (2004) and extend their method to the dimension of socioeconomic inequality by exploiting the properties of rank-dependent indices such as Wagstaff (2002) achievement and extended concentration indices. We also provide an empirical illustration using the National Institute of Health Survey 2012. Copyright © 2017 John Wiley & Sons, Ltd.

  13. What Causes Environmental Inequalities and Related Health Effects? An Analysis of Evolving Concepts

    Science.gov (United States)

    Kruize, Hanneke; Droomers, Mariël; van Kamp, Irene; Ruijsbroek, Annemarie

    2014-01-01

    Early environmental justice studies were exposure-oriented, lacked an integrated approach, and did not address the health impact of environmental inequalities. A coherent conceptual framework, needed to understand and tackle environmental inequalities and the related health effects, was lacking. We analyzed the more recent environmental justice literature to find out how conceptual insights have evolved. The conceptual framework of the WHO Commission on Social Determinants of Health (CSDH) was analyzed for additional explanations for environmental inequalities and the related health effects. This paper points out that recent environmental justice studies have broadened their scope by incorporating a broader set of physical and social environmental indicators, and by focusing on different geographic levels and on health impacts of environmental inequalities. The CSDH framework provided additional elements such as the role of structural determinants, the role of health-related behavior in relation to the physical and social environment, access to health care, as well as the life course perspective. Incorporating elements of the CSDH framework into existing environmental justice concepts, and performing more empirical research on the interactions between the different determinants at different geographical levels would further improve our understanding of environmental inequalities and their health effects and offer new opportunities for policy action. PMID:24886752

  14. What Causes Environmental Inequalities and Related Health Effects? An Analysis of Evolving Concepts

    Directory of Open Access Journals (Sweden)

    Hanneke Kruize

    2014-05-01

    Full Text Available Early environmental justice studies were exposure-oriented, lacked an integrated approach, and did not address the health impact of environmental inequalities. A coherent conceptual framework, needed to understand and tackle environmental inequalities and the related health effects, was lacking. We analyzed the more recent environmental justice literature to find out how conceptual insights have evolved. The conceptual framework of the WHO Commission on Social Determinants of Health (CSDH was analyzed for additional explanations for environmental inequalities and the related health effects. This paper points out that recent environmental justice studies have broadened their scope by incorporating a broader set of physical and social environmental indicators, and by focusing on different geographic levels and on health impacts of environmental inequalities. The CSDH framework provided additional elements such as the role of structural determinants, the role of health-related behavior in relation to the physical and social environment, access to health care, as well as the life course perspective. Incorporating elements of the CSDH framework into existing environmental justice concepts, and performing more empirical research on the interactions between the different determinants at different geographical levels would further improve our understanding of environmental inequalities and their health effects and offer new opportunities for policy action.

  15. Increase in social inequality in health expectancy in Denmark

    DEFF Research Database (Denmark)

    Brønnum-Hansen, Henrik; Baadsgaard, Mikkel

    2008-01-01

    AIMS: Health expectancy represents the average lifetime in various states of health and differs among social groups. The purpose of the study was to determine trends in social inequality in health expectancy since 1994 between groups with high, medium and low educational levels in Denmark. METHODS...... educational level, the increase was 2.7 years for men and 2.2 years for women. The difference between people with low and high educational level in expected lifetime in self-rated good health increased by 2.0 and 1.3 years for 30-year-old men and women, respectively. The social gap also increased for other...... indicators. CONCLUSIONS: During the past 12 years, social inequality in life expectancy and health expectancy has increased in Denmark, but the proportion of the population with a low educational level has decreased....

  16. Time to address gender discrimination and inequality in the health workforce

    OpenAIRE

    Newman, Constance

    2014-01-01

    Gender is a key factor operating in the health workforce. Recent research evidence points to systemic gender discrimination and inequalities in health pre-service and in-service education and employment systems. Human resources for health (HRH) leaders’ and researchers’ lack of concerted attention to these inequalities is striking, given the recognition of other forms of discrimination in international labour rights and employment law discourse. If not acted upon, gender discrimination and in...

  17. Pathways of economic inequalities in maternal and child health in urban India: a decomposition analysis.

    Science.gov (United States)

    Goli, Srinivas; Doshi, Riddhi; Perianayagam, Arokiasamy

    2013-01-01

    Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequalities in maternal and child health indicators among the urban population of India. Using data from the third wave of the National Family Health Survey (NFHS, 2005-06), this study calculated relative contribution of socioeconomic factors to inequalities in key maternal and child health indicators such as antenatal check-ups (ANCs), institutional deliveries, proportion of children with complete immunization, proportion of underweight children, and Infant Mortality Rate (IMR). Along with regular CI estimates, this study applied widely used regression-based Inequality Decomposition model proposed by Wagstaff and colleagues. The CI estimates show considerable economic inequalities in women with less than 3 ANCs (CI = -0.3501), institutional delivery (CI = -0.3214), children without fully immunization (CI = -0.18340), underweight children (CI = -0.19420), and infant deaths (CI = -0.15596). Results of the decomposition model reveal that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical factors contributing to economic inequalities in maternal and child health indicators. The residuals in all the decomposition models are very less; this implies that the above mentioned factors explained maximum inequalities in maternal and child health of urban population in India. Findings suggest that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical pathways through which economic factors operate on inequalities in

  18. Pathways of economic inequalities in maternal and child health in urban India: a decomposition analysis.

    Directory of Open Access Journals (Sweden)

    Srinivas Goli

    Full Text Available BACKGROUND/OBJECTIVE: Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequalities in maternal and child health indicators among the urban population of India. METHODS: Using data from the third wave of the National Family Health Survey (NFHS, 2005-06, this study calculated relative contribution of socioeconomic factors to inequalities in key maternal and child health indicators such as antenatal check-ups (ANCs, institutional deliveries, proportion of children with complete immunization, proportion of underweight children, and Infant Mortality Rate (IMR. Along with regular CI estimates, this study applied widely used regression-based Inequality Decomposition model proposed by Wagstaff and colleagues. RESULTS: The CI estimates show considerable economic inequalities in women with less than 3 ANCs (CI = -0.3501, institutional delivery (CI = -0.3214, children without fully immunization (CI = -0.18340, underweight children (CI = -0.19420, and infant deaths (CI = -0.15596. Results of the decomposition model reveal that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical factors contributing to economic inequalities in maternal and child health indicators. The residuals in all the decomposition models are very less; this implies that the above mentioned factors explained maximum inequalities in maternal and child health of urban population in India. CONCLUSION: Findings suggest that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical

  19. How do people attribute income-related inequalities in health? A cross-sectional study in Ontario, Canada.

    Directory of Open Access Journals (Sweden)

    Aisha Lofters

    Full Text Available CONTEXT: Substantive equity-focused policy changes in Ontario, Canada have yet to be realized and may be limited by a lack of widespread public support. An understanding of how the public attributes inequalities can be informative for developing widespread support. Therefore, the objectives of this study were to examine how Ontarians attribute income-related health inequalities. METHODS: We conducted a telephone survey of 2,006 Ontarians using random digit dialing. The survey included thirteen questions relevant to the theme of attributions of income-related health inequalities, with each statement linked to a known social determinant of health. The statements were further categorized depending on whether the statement was framed around blaming the poor for health inequalities, the plight of the poor as a cause of health inequalities, or the privilege of the rich as a cause of health inequalities. RESULTS: There was high agreement for statements that attributed inequalities to differences between the rich and the poor in terms of employment, social status, income and food security, and conversely, the least agreement for statements that attributed inequalities to differences in terms of early childhood development, social exclusion, the social gradient and personal health practices and coping skills. Mean agreement was lower for the two statements that suggested blame for income-related health inequalities lies with the poor (43.1% than for the three statements that attributed inequalities to the plight of the poor (58.3% or the eight statements that attributed inequalities to the privilege of the rich (58.7%. DISCUSSION: A majority of this sample of Ontarians were willing to attribute inequalities to the social determinants of health, and were willing to accept messages that framed inequalities around the privilege of the rich or the plight of the poor. These findings will inform education campaigns, campaigns aimed at increasing public support

  20. Income inequality, disinvestment in health care and use of dental services.

    Science.gov (United States)

    Bhandari, Bishal; Newton, Jonathan T; Bernabé, Eduardo

    2015-01-01

    To explore the interrelationships between income inequality, disinvestment in health care, and use of dental services at country level. This study pooled national estimates for use of dental services among adults aged 18 years or older from the 70 countries that participated in the World Health Survey from 2002 to 2004, together with aggregate data on national income (GDP per capita), income inequality (Gini coefficient), and disinvestment in health care (total health expenditure and dentist-to-population ratio) from various international sources. Use of dental services was defined as having had dental problems in the last 12 months and having received any treatment to address those needs. Associations between variables were explored using Pearson correlation coefficients and linear regression. Data from 63 countries representing the six WHO regions were analyzed. Use of dental services was negatively correlated with Gini coefficient (Pearson correlation coefficient -0.48, P dental services was attenuated but remained significant after adjustments for GDP per capita, total health expenditure, and dentist-to-population ratio (regression coefficient -0.36; 95% CI -0.57, -0.15). This study shows an inverse relationship between income inequality and use of dental services. Of the two indicators of disinvestment in health care assessed, only dentist-to-population ratio was associated with income inequality and use of dental services. © 2014 American Association of Public Health Dentistry.

  1. Inequality in the use of maternal and child health services in the Philippines: do pro-poor health policies result in more equitable use of services?

    Science.gov (United States)

    Paredes, Karlo Paolo P

    2016-11-10

    The Philippines failed to achieve its Millennium Development Goal (MDG) commitment to reduce maternal deaths by three quarters. This, together with the recently launched Sustainable Development Goals (SDGs), reinforces the need for the country to keep up in improving reach of maternal and child health (MCH) services. Inequitable use of health services is a risk factor for the differences in health outcomes across socio-economic groups. This study aims to explore the extent of inequities in the use of MCH services in the Philippines after pro-poor national health policy reforms. This paper uses data from the 2008 and 2013 Demographic and Health Survey (DHS) in the Philippines. Socio-economic inequality in MCH services use was measured using the concentration index. The concentration index was also decomposed in order to examine the contribution of different factors to the inequalities in the use of MCH services. In absolute figures, women who delivered in facilities increased from 2008 to 2013. Little change was noted for women who received complete antenatal care and caesarean births. Facility deliveries remain pro-rich although a pro-poor shift was noted. Women who received complete antenatal care services also remain concentrated to the rich. Further, there is a highly pro-rich inequality in caesarean deliveries which did not change much from 2008 to 2013. Household income remains as the most important contributor to the resulting inequalities in health services use, followed by maternal education. For complete antenatal care use and deliveries in government facilities, regional differences also showed to have important contribution. The findings suggest inequality in the use of MCH services had limited pro-poor improvements. Household income remains to be the major driver of inequities in MCH services use in the Philippines. This is despite the recent national government-led subsidy for the health insurance of the poor. The highly pro-rich caesarean deliveries

  2. Does inequality in health impede growth?

    NARCIS (Netherlands)

    M. Grimm (Michael)

    2010-01-01

    textabstractThis paper investigates the effects of inequality in health on economic growth in low and middle income countries. The empirical part of the paper uses an original cross-national panel data set covering 62 low and middle income countries over the period 1985 to 2007. I find a substantial

  3. Ten Strategies to Reduce Gender Inequality at Scientific Conferences

    Directory of Open Access Journals (Sweden)

    Stephanie Sardelis

    2017-07-01

    Full Text Available Conferences organized by professional societies provide scientists and professionals with an excellent opportunity to disseminate their work, network with like-minded researchers, and form collaborative relationships for future endeavors. However, these opportunities are rarely distributed equally between women and men in science. Addressing gender inequity should be a primary consideration for all societies hosting conferences. Yet, many STEM conferences are struggling with gender biases and the understanding that gender inequity also applies to non-binary gender and overlapping social identities. At the Society for Conservation Biology's 4th International Marine Conservation Congress (IMCC4, “Promoting the Participation of Women at Science Conferences” was one of four focus groups of the Diversity Focus Group Series. This paper outlines 10 feasible intervention strategies delineated during the Women at Science Conferences focus group discussion as positive encouragement for professional societies to continue toward gender equity. The 10 interventions to reduce gender inequity at conferences include adopting community principles and a Code of Conduct, appointing a Safety Officer, requiring a registration honor system pledge and conduct surveys, offering a mentorship program, organizing focus groups, giving benefits for participating in diversity programming, assisting with child care, proffering travel grants, providing badges on lanyards, and randomizing the conference program. These strategies are intended to reduce participation barriers for women scientists at conferences, and range in the amount of planning they require to provide options for all societies regardless of their fiscal or labor capacity.

  4. [The study of social inequalities in child and adolescent health in Spain].

    Science.gov (United States)

    Font-Ribera, Laia; García-Continente, Xavier; Davó-Blanes, M Carmen; Ariza, Carles; Díez, Elia; García Calvente, M del Mar; Maroto, Gracia; Suárez, Mónica; Rajmil, Luis

    2014-01-01

    To identify and describe studies on social inequalities in child and adolescent health conducted in Spain with special emphasis on social determinants. In July 2012, we conducted a systematic review in the PubMed, MEDES, SCOPUS and COCHRANE databases. We included studies on social inequalities in child and adolescent health in Spain published between 2000 and 2012. A total of 2147 abstracts were reviewed by two researchers and 80 manuscripts were fully reviewed by three researchers. Risk of bias was assessed. Seventy-two articles were finally included. A total of 83% of the studies were cross-sectional and the most frequently studied age group consisted of 13-15-year-olds. More than 20 individual or group determinants were identified. The most frequently analyzed determinants were the most advantaged educational level and occupation of the mother or the father. In 38% of the studies analyzing education and occupation, there was no definition of the determinant. Social inequalities were detected in dental health with all determinants and in all age groups (9% of studies with a high risk of bias). Social inequalities were also detected in obesity, physical activity and mental health with some determinants. Specific data were missing for younger children. No social inequalities were found in the use of health services, excluding dental care. Few studies analyzed immigration and 42% of them had a high risk of bias. Wide diversity was found in the measurement of social determinants, with a lack of studies in preschoolers and of studies with longitudinal designs. The results of this study confirm social inequalities in some aspects of health. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  5. Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries.

    Science.gov (United States)

    Leão, Teresa; Campos-Matos, Inês; Bambra, Clare; Russo, Giuliano; Perelman, Julian

    2018-01-01

    Although socioeconomic inequalities in health have long been observed in Europe, few studies have analysed their recent patterning. In this paper, we examined how educational inequalities in self-reported health have evolved in different European countries and welfare state regimes over the last decade, which was troubled by the Great Recession. We used cross-sectional data from the EU-SILC survey for adults from 26 European countries, from 2005 to 2014 (n = 3,030,595). We first calculated education-related absolute (SII) and relative (RII) inequalities in poor self-reported health by country-year, adjusting for age, sex, and EU-SILC survey weights. We then regressed the year- and country-specific RII and SII on a yearly time trend, globally and by welfare regime, adjusting for country fixed effects. We further adjusted the analysis for the economic cycle using GDP growth, unemployment, and income inequality. Overall, absolute inequalities persisted and relative inequalities slightly widened (betaRII = 0.0313, pAnglo-Saxon countries experienced the largest increase in absolute inequalities (betaSII = 0.0032, pAnglo-Saxon countries. Educational inequalities in health have overall persisted across European countries over the last decade. However, there is considerable variation across welfare regimes, possibly related to underpinning social safety nets and to austerity measures implemented during this 10-year period.

  6. [Inequity in health: its historical development].

    Science.gov (United States)

    Salaverry García, Oswaldo

    2013-01-01

    Health inequity, main issue of contemporary debates on public health, is based on philosophical and historical concepts that date back to the idea of justice from classic Greece. The Aristotelian approach on distributive justice and its higher form, epiekeia or equity, has been reviewed, as well as how this evolves from the Middle Ages and modernity to the heart of the debate of a variety of thinkers such as liberal Rawls and Nobel laureate Amartya Sen. On this conceptual debate lies the World Health Organization version that links equity to health determinants and intends to make it operational through the equitable provision of health services.

  7. [Mental income inequality: a "virus" which affects health and happiness].

    Science.gov (United States)

    Bouffard, Léandre; Dubé, Micheline

    2013-01-01

    The purpose of this paper is to demonstrate the impact of income inequality on various indexes of mental health and on happiness in wealthy nations. Initially, the unequal distribution of income is documented in wealthy nations, especially in the United States of America. After the World War II, income equality was at a level never reached before, but since the eighties, income inequality has raised dramatically in many industrialized countries. The 2008 crisis has worsened the situation in many of them, particularly in the United States. Furthermore, prejudices have increased against women, Blacks, Spanish-speakers and those who receive social welfare. A selective review of the literature is made in order to document the impact of income inequality on a few indicators of mental health (from WHO, UN, UNICEF, OCDE and World Bank) and on happiness, defined here as life satisfaction. Income inequality is positively related to the following indexes: Index of Mental Illness from the WHO (0.73), Index of the United Nations' Office on Drug Consumption (0.63) and a composite Index of ten psychosocial problems, constituted by Wilkinson and Pickett, 2013 (0.87). On the other hand, income inequality is negatively associated to the UNICEF Index of Child Well-Being (-0.71). Furthermore, the level of anxiety and of depression is higher in countries where income inequality is greater. The correlation between happiness and income inequality in the 23 wealthy nations is -0.48; this correlation becomes -0.41 after control of the effect of the GNP (Gross National Product). These results support the idea that it is relative income - not absolute income - which matters in the evaluation of our life and of our happiness. In underdeveloped nations, any increase in GNP promotes the well-being of the citizens; whereas in wealthy nations, it is the equality of the distribution that is more important. Many arguments supporting the causal relation from income inequality to psychosocial

  8. Analysis of socioeconomic health inequalities using the concentration index

    NARCIS (Netherlands)

    Konings, P.; Harper, S.; Lynch, J.; Hosseinpoor, A.R.; Berkvens, D.; Lorant, V.; Geckova, A.; Speybroeck, N.

    2010-01-01

    Although "average'' health conditions at national and global levels may have improved, inequalities in health conditions still exist among and within countries (Mackenbach et al. 2008; Smits and Monden 2009). Epidemiologists often focus on average health and try to understand its determinants. This

  9. Socioeconomic status and health inequalities for cardiovascular prevention among elderly Spaniards.

    Science.gov (United States)

    Mejía-Lancheros, Cília; Estruch, Ramón; Martínez-González, Miguel A; Salas-Salvadó, Jordi; Corella, Dolores; Gómez-Gracia, Enrique; Fiol, Miquel; Lapetra, José; Covas, Maria I; Arós, Fernando; Serra-Majem, Lluís; Pintó, Xavier; Basora, Josep; Sorlí, José V; Muñoz, Miguel A

    2013-10-01

    Although it is known that social factors may introduce inequalities in cardiovascular health, data on the role of socioeconomic differences in the prescription of preventive treatment are scarce. We aimed to assess the relationship between the socioeconomic status of an elderly population at high cardiovascular risk and inequalities in receiving primary cardiovascular treatment, within the context of a universal health care system. Cross-sectional study of 7447 individuals with high cardiovascular risk (57.5% women, mean age 67 years) who participated in the PREDIMED study, a clinical trial of nutritional interventions for cardiovascular prevention. Educational attainment was used as the indicator of socioeconomic status to evaluate differences in pharmacological treatment received for hypertension, diabetes, and dyslipidemia. Participants with the lowest socioeconomic status were more frequently women, older, overweight, sedentary, and less adherent to the Mediterranean dietary pattern. They were, however, less likely to smoke and drink alcohol. This socioeconomic subgroup had a higher proportion of coexisting cardiovascular risk factors. Multivariate analysis of the whole population found no differences between participants with middle and low levels of education in the drug treatment prescribed for 3 major cardiovascular risk factors (odds ratio [95% confidence interval]): hypertension (0.75 [0.56-1.00] vs 0.85 [0.65-1.10]); diabetic participants (0.86 [0.61-1.22] vs 0.90 [0.67-1.22]); and dyslipidemia (0.93 [0.75-1.15] vs 0.99 [0.82-1.19], respectively). In our analysis, socioeconomic differences did not affect the treatment prescribed for primary cardiovascular prevention in elderly patients in Spain. Free, universal health care based on a primary care model can be effective in reducing health inequalities related to socioeconomic status. Copyright © 2013 Sociedad Española de Cardiología. Published by Elsevier Espana. All rights reserved.

  10. Analyzing socioeconomic related health inequality in mothers and children using the concentration index

    Directory of Open Access Journals (Sweden)

    Hossein Amirian

    2014-01-01

    Full Text Available Background: The effect of socioeconomic inequity on major public health indices such as maternal and child mortality rates in low- and middle-income countries are less understood and needs to be evaluated through the concentration index.Method: This cross-sectional study was conducted in 2012 in Hamadan City, the west of Iran, and 1400 households were enrolled through a stratified cluster random sampling method. The effect of inequity on health outcomes was investigated via a three-stage procedure including: (a definition of health outcomes; (b measuring socioeconomic status using an asset index; and (c measuring inequality of health outcome using concentration index (CI.Results: There was inequality for all outcomes of interest. The CI was negative for low birth weight, underweight, stunting, wasting, minor injuries, moderate injuries, consanguineous marriage, child with disability, short birth spacing, and adolescent pregnancy indicating the disproportionate concentration of the health outcomes among the poor. On the other hand, CI was positive for preterm birth, Nonexclusive breastfeeding, severe injuries, incomplete health care, cesarean section, and advanced maternal age indicating opposite conclusion.Conclusion: According to our results, there is a health inequality between the poor and the rich subgroups which may increase the risk of mothers and infant mortality and morbidity rates among the poor while the majority of the conditions related to the health outcomes are preventable.

  11. International cooperation to conquer global inequities in reproductive health.

    Science.gov (United States)

    1992-01-01

    The effect of population growth is not limited to national boundaries. Indeed the inability of people in developing countries to control their own fertility has repercussions on global security and on the balance between population and environment as well a on their health and welfare. All nations need to take steps to slow down rapid population growth now, otherwise we will suffer serious consequences. The different between 2 UN projections of world population equals current world population size. Almost 90% of the increase of the larger projection would occur in developing countries, yet they are the least capable of managing big populations. Further major inequalities in reproductive health between developed and developing countries, as well as between men and women exist. The infant mortality rate in developed regions is around 6 times lower than it is in developing regions, child mortality is 7 times lower, and maternal mortality is 15 times lower. International collaboration to rid the world of these inequalities is need to improve reproductive health. Specifically, political and health leaders should mobilize necessary international and national resources. Even though there is more than US $50,000 million in official development assistance funds available annually, the level of population related funding has decreased to less than 1.1% of these funds for 1993-1994. Developed countries could reduce the debt burden to free funds for population activities and to reverse the flow from the poor countries in the Southern Hemisphere to the rich countries in the Northern Hemisphere. Besides developing countries spend much of their money on the military (e.g. sub-Saharan Africa spends US$ 10,000 million). International cooperation leading to peace would make significantly more money available for the social and health sectors, especially reproductive health care.

  12. Socioeconomic inequalities in health expectancy in Finland and Norway in the late 1980s

    NARCIS (Netherlands)

    Sihvonen, A. P.; Kunst, A. E.; Lahelma, E.; Valkonen, T.; Mackenbach, J. P.

    1998-01-01

    Studies on health inequalities have usually focused either on mortality or on morbidity. This concerns national studies as well as international comparisons of health inequalities. This paper seeks to bridge the gap by applying health expectancy as a synthetic overall measure of health. The purpose

  13. Squeezing blood from a stone: how income inequality affects the health of the American workforce.

    Science.gov (United States)

    Williams, Jessica Allia R; Rosenstock, Linda

    2015-04-01

    Income inequality is very topical-in both political and economic circles-but although income and socioeconomic status are known determinants of health status, income inequality has garnered scant attention with respect to the health of US workers. By several measures, income inequality in the United States has risen since 1960. In addition to pressures from an increasingly competitive labor market, with cash wages losing out to benefits, workers face pressures from changes in work organization. We explored these factors and the mounting evidence of income inequality as a contributing factor to poorer health for the workforce. Although political differences may divide the policy approaches undertaken, addressing income inequality is likely to improve the overall social and health conditions for those affected.

  14. The link between inequality and population health in low and middle income countries : Policy myth or social reality?

    NARCIS (Netherlands)

    van Deurzen, I.A.; van Oorschot, W.J.H.; van Ingen, E.J.

    2014-01-01

    An influential policy idea states that reducing inequality is beneficial for improving health in the low and middle income countries (LMICs). Our study provides an empirical test of this idea: we utilized data collected by the Demographic and Health Surveys between 2000 and 2011 in as much as 52

  15. Income inequality and socioeconomic gradients in mortality.

    Science.gov (United States)

    Wilkinson, Richard G; Pickett, Kate E

    2008-04-01

    We investigated whether the processes underlying the association between income inequality and population health are related to those responsible for the socioeconomic gradient in health and whether health disparities are smaller when income differences are narrower. We used multilevel models in a regression analysis of 10 age- and cause-specific US county mortality rates on county median household incomes and on state income inequality. We assessed whether mortality rates more closely related to county income were also more closely related to state income inequality. We also compared mortality gradients in more- and less-equal states. Mortality rates more strongly associated with county income were more strongly associated with state income inequality: across all mortality rates, r= -0.81; P=.004. The effect of state income inequality on the socioeconomic gradient in health varied by cause of death, but greater equality usually benefited both wealthier and poorer counties. Although mortality rates with steep socioeconomic gradients were more sensitive to income distribution than were rates with flatter gradients, narrower income differences benefit people in both wealthy and poor areas and may, paradoxically, do little to reduce health disparities.

  16. Gender equity and socioeconomic inequality: a framework for the patterning of women's health.

    Science.gov (United States)

    Moss, Nancy E

    2002-03-01

    This paper explores the interrelationship of gender equity and socioeconomic inequality and how they affect women's health at the macro- (country) and micro- (household and individual) levels. An integrated framework draws theoretical perspectives from both approaches and from public health. Determinants of women's health in the geopolitical environment include country-specific history and geography, policies and services, legal rights, organizations and institutions, and structures that shape gender and economic inequality. Culture, norms and sanctions at the country and community level, and sociodemographic characteristics at the individual level, influence women's productive and reproductive roles in the household and workplace. Social capital, roles, psychosocial stresses and resources. health services, and behaviors mediate social, economic and cultural effects on health outcomes. Inequality between and within households contributes to the patterning of women's health. Within the framework, relationships may vary depending upon women's lifestage and cohort experience. Examples of other relevant theoretical frameworks are discussed. The conclusion suggests strategies to improve data, influence policy, and extend research to better understand the effect of gender and socioeconomic inequality on women's health.

  17. Child health inequalities and its dimensions in Pakistan.

    Science.gov (United States)

    Murtaza, Fowad; Mustafa, Tajammal; Awan, Rabia

    2015-01-01

    Poverty and inequality in health is pervasive in Pakistan. The provisions and conditions of health are very dismal. A significant proportion of the population (16.34%) of Pakistan is under 5 years, but Pakistan is in the bottom 5% of countries in the world in terms of spending on health and education. It is ranked the lowest in the world with sub-Sahara Africa in terms of child health equality. The objective of this study was to examine child health inequalities in Pakistan. We analyzed data from Pakistan Integrated Household Survey/Household Integrated Economic Survey 2001-2002, collected by the Pakistan Bureau of Statistics, Government of Pakistan. Coverage of diarrhea and immunization were used as indicators of child health. Stata 11.0 was used for data analysis. Descriptive statistics including frequency distribution and proportions for categorical variables and mean for continuous variables were computed. Children under 5 years of age account for about 16.34% of the total population, 11.76% (2.5 million) of whom suffered from diarrhea in 1-month. The average duration of a diarrheal episode was 7 days. About 72% of the children who had diarrhea lived in a house without pipe-borne water supply. Around 22% children who had diarrhea had no advice or treatment. More than one-third of the households had no toilet in the house, and only 29% of the households were connected with pipe-borne drinking water. About 7.73% (1.6 million) children had never been immunized. The main reason for nonimmunization was parents' lack of knowledge and of immunization. Child health inequalities in Pakistan are linked with several factors such as severe poverty, illiteracy, lack of knowledge, and awareness of child healthcare, singularly inadequate provision of health services, and poor infrastructure.

  18. Child health inequalities and its dimensions in Pakistan

    Directory of Open Access Journals (Sweden)

    Fowad Murtaza

    2015-01-01

    Full Text Available Background and Objective: Poverty and inequality in health is pervasive in Pakistan. The provisions and conditions of health are very dismal. A significant proportion of the population (16.34% of Pakistan is under 5 years, but Pakistan is in the bottom 5% of countries in the world in terms of spending on health and education. It is ranked the lowest in the world with sub-Sahara Africa in terms of child health equality. The objective of this study was to examine child health inequalities in Pakistan. Materials and Methods: We analyzed data from Pakistan Integrated Household Survey/Household Integrated Economic Survey 2001-2002, collected by the Pakistan Bureau of Statistics, Government of Pakistan. Coverage of diarrhea and immunization were used as indicators of child health. Stata 11.0 was used for data analysis. Descriptive statistics including frequency distribution and proportions for categorical variables and mean for continuous variables were computed. Results: Children under 5 years of age account for about 16.34% of the total population, 11.76% (2.5 million of whom suffered from diarrhea in 1-month. The average duration of a diarrheal episode was 7 days. About 72% of the children who had diarrhea lived in a house without pipe-borne water supply. Around 22% children who had diarrhea had no advice or treatment. More than one-third of the households had no toilet in the house, and only 29% of the households were connected with pipe-borne drinking water. About 7.73% (1.6 million children had never been immunized. The main reason for nonimmunization was parents′ lack of knowledge and of immunization. Conclusion: Child health inequalities in Pakistan are linked with several factors such as severe poverty, illiteracy, lack of knowledge, and awareness of child healthcare, singularly inadequate provision of health services, and poor infrastructure.

  19. Disease and Health Inequalities Attributable to Air Pollutant Exposure in Detroit, Michigan

    Directory of Open Access Journals (Sweden)

    Sheena E. Martenies

    2017-10-01

    Full Text Available The environmental burden of disease is the mortality and morbidity attributable to exposures of air pollution and other stressors. The inequality metrics used in cumulative impact and environmental justice studies can be incorporated into environmental burden studies to better understand the health disparities of ambient air pollutant exposures. This study examines the diseases and health disparities attributable to air pollutants for the Detroit urban area. We apportion this burden to various groups of emission sources and pollutants, and show how the burden is distributed among demographic and socioeconomic subgroups. The analysis uses spatially-resolved estimates of exposures, baseline health rates, age-stratified populations, and demographic characteristics that serve as proxies for increased vulnerability, e.g., race/ethnicity and income. Based on current levels, exposures to fine particulate matter (PM2.5, ozone (O3, sulfur dioxide (SO2, and nitrogen dioxide (NO2 are responsible for more than 10,000 disability-adjusted life years (DALYs per year, causing an annual monetized health impact of $6.5 billion. This burden is mainly driven by PM2.5 and O3 exposures, which cause 660 premature deaths each year among the 945,000 individuals in the study area. NO2 exposures, largely from traffic, are important for respiratory outcomes among older adults and children with asthma, e.g., 46% of air-pollution related asthma hospitalizations are due to NO2 exposures. Based on quantitative inequality metrics, the greatest inequality of health burdens results from industrial and traffic emissions. These metrics also show disproportionate burdens among Hispanic/Latino populations due to industrial emissions, and among low income populations due to traffic emissions. Attributable health burdens are a function of exposures, susceptibility and vulnerability (e.g., baseline incidence rates, and population density. Because of these dependencies, inequality

  20. Determinants of inequalities in self-perceived health among the urban poor in Kenya: A gender perspective

    Directory of Open Access Journals (Sweden)

    I.O Eboreime Oikeh

    2016-01-01

    Full Text Available Background Gender health inequalities are largely socially determined. Though perception of health differs between the genders in many societies, little is known of the social determinants of gender inequalities in self-perceived health among the urban poor in developing economies in sub-Saharan Africa. Objectives To identify the social determinants of self-perceived health among the genders in an urban informal settlement in sub-Saharan Africa and to determine the extent of the gender health inequalities. Methods This cross-sectional and observational community based study was carried out between August and November 2012 in Korogocho informal settlement of Nairobi, capital of Kenya; a sub-Saharan African country. Primary data were collected with pre-tested structured questionnaires from randomly selected adults aged 25 to 59 years residing in Korogocho. The independent variables were age, education and employment status. The dependent variable was categorized into poor and good self-perceived health. Data were analyzed with SPSS v 20. Statistical significance was set at P<0.05. Results The mean age (±SD of the 719 participants was 34.2 ± 8.7 years. Women (73.9% of participants were younger on average but were still significantly less educated with higher levels of unemployment than men (all P<0.05. Women also had higher prevalence of poor self-perceived health than men (28.3% vs. 20.7%; P<0.05. Conclusion Though younger, the prevalence of poor health was significantly higher among women who were also more socially disadvantaged in terms of education and employment than men. The findings stress the importance of gender analysis in research and highlight the crying need for gender-informed social policies, strategies and interventions to reduce gender health inequalities among the urban poor.

  1. Gender inequality, health expenditure and maternal mortality in sub-Saharan Africa: A secondary data analysis

    Directory of Open Access Journals (Sweden)

    Frank Chirowa

    2013-08-01

    Full Text Available Background: This article provided an analysis of gender inequality, health expenditure and its relationship to maternal mortality. Objective: The objective of this article was to explore gender inequality and its relationship with health expenditure and maternal mortality in sub-Saharan Africa (SSA. A unique analysis was used to correlate the Gender Inequality Index (GII, Health Expenditure and Maternal Mortality Ratio (MMR. The GII captured inequalities across three dimensions – Reproductive health, Women empowerment and Labour force participation between men and women. The GII is a composite index introduced by the UNDP in 2010 and corrects for the disadavanatges of the other gender indices. Although the GII incorporates MMR in its calculation, it should not be taken as a substitute for, but rather as complementary to, the MMR. Method: An exploratory and descriptive design to a secondary documentary review using quantitative data and qualitative information was used. The article referred to sub-Saharan Africa, but seven countries were purposively selected for an in-depth analysis based on the availability of data. The countries selected were Angola, Botswana, Malawi, Mozambique,South Africa, Zambia and Zimbabwe. Results: Countries with high gender inequality captured by the gender inequality index were associated with high maternal mortality ratios as compared with countries with lower gender inequality, whilst countries that spend less on health were associated with higher maternal deaths than countries that spend more. Conclusion: A potential relationship exists between gender inequality, health expenditure, and maternal mortality. Gender inequalities are systematic and occur at the macro, societal and household levels.

  2. Health inequities in Canada: intersectional frameworks and practices

    National Research Council Canada - National Science Library

    Hankivsky, Olena; de Leeuw, Sarah; Lee, Jo-Anne; Vissandjée, Bilkis; Khanlou, Nazilla

    2011-01-01

    ... recycled) that is processed chlorineand acid-free. Library and Archives Canada Cataloguing in Publication Health inequities in Canada : intersectional frameworks and practices / edited by Olena Hankivsky. Includes bibliographical references and index. ISBN 978-0-7748-1975-6 (bound); ISBN 978-0-7748-1972-5 (pbk) 1. Health services accessibi...

  3. The impact of public employment on health and health inequalities: evidence from China.

    Science.gov (United States)

    Zhang, Wei

    2011-01-01

    Because the public and private sectors often operate with different goals, individuals employed by the two sectors may receive different levels of welfare. This can potentially lead to different health status. As such, employment sector offers an important perspective for understanding labor market outcomes. Using micro-level data from a recent Chinese household survey, this study empirically evaluated the impact of employment sector on health and within-sector health inequalities. It found that public sector employment generated better health outcomes than private sector employment, controlling for individual characteristics. The provision of more job security explained an important part of the association between public sector employment and better health. The study also found less health inequality by social class within the public sector. These findings suggest that policymakers should think critically about the "conventional wisdom" that private ownership is almost always superior, and should adjust their labor market policies accordingly.

  4. Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies.

    Science.gov (United States)

    Latulippe, Karine; Hamel, Christine; Giroux, Dominique

    2017-04-27

    eHealth is developing rapidly and brings with it a promise to reduce social health inequalities (SHIs). Yet, it appears that it also has the potential to increase them. The general objective of this review was to set out how to ensure that eHealth contributes to reducing SHIs rather than exacerbating them. This review has three objectives: (1) identifying characteristics of people at risk of experiencing social inequality in health; (2) determining the possibilities of developing eHealth tools that avoid increasing SHI; and (3) modeling the process of using an eHealth tool by people vulnerable to SHI. Following the EPPI approach (Evidence for Policy and Practice of Information of the Institute of Education at the University of London), two databases were searched for the terms SHIs and eHealth and their derivatives in titles and abstracts. Qualitative, quantitative, and mixed articles were included and evaluated. The software NVivo (QSR International) was employed to extract the data and allow for a metasynthesis of the data. Of the 73 articles retained, 10 were theoretical, 7 were from reviews, and 56 were based on empirical studies. Of the latter, 40 used a quantitative approach, 8 used a qualitative approach, 4 used mixed methods approach, and only 4 were based on participatory research-action approach. The digital divide in eHealth is a serious barrier and contributes greatly to SHI. Ethnicity and low income are the most commonly used characteristics to identify people at risk of SHI. The most promising actions for reducing SHI via eHealth are to aim for universal access to the tool of eHealth, become aware of users' literacy level, create eHealth tools that respect the cultural attributes of future users, and encourage the participation of people at risk of SHI. eHealth has the potential to widen the gulf between those at risk of SHI and the rest of the population. The widespread expansion of eHealth technologies calls for rigorous consideration of

  5. Patterns of Socioeconomic Inequality in Adolescent Health Differ According to the Measure of Socioeconomic Position

    DEFF Research Database (Denmark)

    Elgar, Frank J.; McKinnon, Britt; Torsheim, Torbjorn

    2016-01-01

    Socioeconomic differences in health are ubiquitous across age groups, cultures, and health domains. However, variation in the size and pattern of health inequalities appears to relate to the measure of socioeconomic position (SEP) applied. Little attention has been paid to these differences...... in adolescents and their implications for health surveillance and policy. We examined health inequalities in 1371 adolescents in seven European countries using four measures of SEP: youth-reported material assets and subjective social status and parent-reported material assets and household income. For each SEP...... variable, we estimated risk ratios, risk differences, concentration curves, and concentration indices of inequality for fair/poor self-rated health and low life satisfaction. Results showed that inequalities in health and life satisfaction were largest when subjective social status was used as the SEP...

  6. Uncovering the hidden impacts of inequality on mental health: a global study.

    Science.gov (United States)

    Yu, Shoukai

    2018-05-18

    Women are nearly twice as likely as men to suffer from mental illness. This gender disparity in depressive disorders may relate to social inequalities and living standards across nations. Currently, these disparities were not reflected at the level of health policies. This study utilized global data for depressive disorders and socioeconomic data from the United Nations' World Bank databases and Global Burden of Disease database to demonstrate the correlation between social inequality and gender disparities in mental health. This study investigated the association among the ratio of female to male depressive disorder rates, gross domestic product, the GINI Index, and the gender inequality index for 122 countries. The research yielded some major findings. First, there exists a significant correlation between gender inequality and gender disparities in mental health. Second, the GINI index is significantly associated with male-but not female-depressive disorder rates. Third, gender disparities in depressive disorders are associated with a country's wealth. These findings can help to inform society, policy-makers, and clinicians to improve the overall health level globally.

  7. Evaluating health inequity interventions: applying a contextual (external) validity framework to programs funded by the Canadian Health Services Research Foundation.

    Science.gov (United States)

    Phillips, Kaye; Müller-Clemm, Werner; Ysselstein, Margaretha; Sachs, Jonathan

    2013-02-01

    Including context in the measurement and evaluation of health in equity interventions is critical to understanding how events that occur in an intervention's environment might contribute to or impede its success. This study adapted and piloted a contextual validity assessment framework on a selection of health inequity-related programs funded by the Canadian Health Services Research Foundation (CHSRF) between 1998 and 2006. The two overarching objectives of this study were (1) to determine the relative amount and quality of attention given to conceptualizing, measuring and validating context within CHSRF funded research final reports related to health-inequity; and (2) to contribute evaluative evidence towards the incorporation of context into the assessment and measurement of health inequity interventions. The study found that of the 42/146 CHSRF programs and projects, judged to be related to health inequity 20 adequately reported on the conceptualization, measurement and validation of context. Amongst these health-inequity related project reports, greatest emphasis was placed on describing the socio-political and economical context over actually measuring and validating contextual evidence. Applying a contextual validity assessment framework was useful for distinguishing between the descriptive (conceptual) versus empirical (measurement and validation) inclusion of documented contextual evidence. Although contextual validity measurement frameworks needs further development, this study contributes insight into identifying funded research related to health inequities and preliminary criteria for assessing interventions targeted at specific populations and jurisdictions. This study also feeds a larger critical dialogue (albeit beyond the scope of this study) regarding the relevance and utility of using evaluative techniques for understanding how specific external conditions support or impede the successful implementation of health inequity interventions. Copyright

  8. Coverage and inequalities in maternal and child health interventions in Afghanistan

    Directory of Open Access Journals (Sweden)

    Nadia Akseer

    2016-09-01

    Full Text Available Abstract Background Afghanistan has made considerable gains in improving maternal and child health and survival since 2001. However, socioeconomic and regional inequities may pose a threat to reaching universal coverage of health interventions and further health progress. We explored coverage and socioeconomic inequalities in key life-saving reproductive, maternal, newborn and child health (RMNCH interventions at the national level and by region in Afghanistan. We also assessed gains in child survival through scaling up effective community-based interventions across wealth groups. Methods Using data from the Afghanistan Multiple Indicator Cluster Survey (MICS 2010/11, we explored 11 interventions that spanned all stages of the continuum of care, including indicators of composite coverage. Asset-based wealth quintiles were constructed using standardised methods, and absolute inequalities were explored using wealth quintile (Q gaps (Q5-Q1 and the slope index of inequality (SII, while relative inequalities were assessed with ratios (Q5/Q1 and the concentration index (CIX. The lives saved tool (LiST modeling used to estimate neonatal and post-neonatal deaths averted from scaling up essential community-based interventions by 90 % coverage by 2025. Analyses considered the survey design characteristics and were conducted via STATA version 12.0 and SAS version 9.4. Results Our results underscore significant pro-rich socioeconomic absolute and relative inequalities, and mass population deprivation across most all RMNCH interventions studied. The most inequitable are antenatal care with a skilled attendant (ANCS, skilled birth attendance (SBA, and 4 or more antenatal care visits (ANC4 where the richest have between 3.0 and 5.6 times higher coverage relative to the poor, and Q5-Q1 gaps range from 32 % - 65 %. Treatment of sick children and breastfeeding interventions are the most equitably distributed. Across regions, inequalities were highest in the

  9. Socioeconomic inequalities in oral health among adults in Tehran, Iran.

    Science.gov (United States)

    Ghorbani, Z; Ahmady, A Ebn; Ghasemi, E; Zwi, A B

    2015-03-01

    To identify the socioeconomic distribution of perceived oral health among adults in Tehran, Iran. A cross-sectional population study. A stratified random sample of 1,100 adults aged 18-84 years living in Tehran. Self-report data were obtained from the 2010 dental telephone interview survey. Oral health was evaluated using self-assessed non-replaced extracted teeth (NRET), and a three-item perceived dental health instrument. Socioeconomic status was measured by combining the variables of education and assets using principal component analysis. Inequalities in oral health were examined using prevalence ratios and concentration index. The poorest quintile was 1.60 (95% confidence interval, CI, 1.30; 1.98) times as likely to have any NRET compared with the richest quintile, indicating a disparity. Inequality was most pronounced in the 35-59 age group with prevalence ratio 2.01 (95% CI 1.26; 3.05). The concentration index of NRET in adults in Tehran was -0.22 (95% CI -0.28; -0.16). No significant differences were found in perceived dental health between socioeconomic classes. Adults from lower socioeconomic classes experienced more disabilities due to missing their teeth, specifically in the middle-age group. Inequalities in perceived dental health were not apparent in the studied population.

  10. Wage inequality, the health system, and infant mortality in wealthy industrialized countries, 1970-1996.

    Science.gov (United States)

    Macinko, James A; Shi, Leiyu; Starfield, Barbara

    2004-01-01

    This pooled, cross-sectional, time-series study assesses the impact of health system variables on the relationship between wage inequality and infant mortality in 19 OECD countries over the period 1970-1996. Data are derived from the OECD, World Value Surveys, Luxembourg Income Study, and political economy databases. Analyses include Pearson correlation and fixed-effects multivariate regression. In year-specific and time-series analyses, the Theil measure of wage inequality (based on industrial sector wages) is positively and statistically significantly associated with infant mortality rates--even while controlling for GDP per capita. Health system variables--in particular the method of healthcare financing and the supply of physicians--significantly attenuated the effect of wage inequality on infant mortality. In fixed effects multivariate regression models controlling for GDP per capita and wage inequality, variables generally associated with better health include income per capita, the method of healthcare financing, and physicians per 1000 population. Alcohol consumption, the proportion of the population in unions, and government expenditures on health were associated with poorer health outcomes. Ambiguous effects were seen for the consumer price index, unemployment rates, the openness of the economy, and voting rates. This study provides international evidence for the impact of wage inequalities on infant mortality. Results suggest that improving aspects of the healthcare system may be one way to partially compensate for the negative effects of social inequalities on population health.

  11. Inequality trends of health workforce in different stages of medical system reform (1985-2011) in China.

    Science.gov (United States)

    Zhou, Kaiyuan; Zhang, Xinyi; Ding, Yi; Wang, Duolao; Lu, Zhou; Yu, Min

    2015-12-08

    The aim of this study was to identify whether policies in different stages of medical system reform had been effective in decreasing inequalities and increasing the density of health workers in rural areas in China between 1985 and 2011. With data from China Health Statistics Yearbooks from 2004 to 2012, we measured the Gini coefficient and the Theil L index across the urban and rural areas from 1985 to 2011 to investigate changes in inequalities in the distributions of health workers, doctors, and nurses by states, regions, and urban-rural stratum and account for the sources of inequalities. We found that the overall inequalities in the distribution of health workers decreased to the lowest in 2000, then increased gently until 2011. Nurses were the most unequally distributed between urban-rural districts among health workers. Most of the overall inequalities in the distribution of health workers across regions were due to inequalities within the rural-urban stratum. Different policies and interventions in different stages would result in important changes in inequality in the distribution of the health workforce. It was also influenced by other system reforms, like the urbanization, education, and employment reforms in China. The results are useful for the Chinese government to decide how to narrow the gap of the health workforce and meet its citizens' health needs to the maximum extent.

  12. Child health inequities in developing countries: differences across urban and rural areas.

    Science.gov (United States)

    Fotso, Jean-Christophe

    2006-07-11

    To document and compare the magnitude of inequities in child malnutrition across urban and rural areas, and to investigate the extent to which within-urban disparities in child malnutrition are accounted for by the characteristics of communities, households and individuals. The most recent data sets available from the Demographic and Health Surveys (DHS) of 15 countries in sub-Saharan Africa (SSA) are used. The selection criteria were set to ensure that the number of countries, their geographical spread across Western/Central and Eastern/Southern Africa, and their socioeconomic diversities, constitute a good yardstick for the region and allow us to draw some generalizations. A household wealth index is constructed in each country and area (urban, rural), and the odds ratio between its uppermost and lowermost category, derived from multilevel logistic models, is used as a measure of socioeconomic inequalities. Control variables include mother's and father's education, community socioeconomic status (SES) designed to represent the broad socio-economic ecology of the neighborhoods in which families live, and relevant mother- and child-level covariates. Across countries in SSA, though socioeconomic inequalities in stunting do exist in both urban and rural areas, they are significantly larger in urban areas. Intra-urban differences in child malnutrition are larger than overall urban-rural differentials in child malnutrition, and there seem to be no visible relationships between within-urban inequities in child health on the one hand, and urban population growth, urban malnutrition, or overall rural-urban differentials in malnutrition, on the other. Finally, maternal and father's education, community SES and other measurable covariates at the mother and child levels only explain a slight part of the within-urban differences in child malnutrition. The urban advantage in health masks enormous disparities between the poor and the non-poor in urban areas of SSA. Specific

  13. Global variations in health: evaluating Wilkinson's income inequality hypothesis using the World Values Survey.

    Science.gov (United States)

    Jen, Min Hua; Jones, Kelvyn; Johnston, Ron

    2009-02-01

    This international comparative study analyses individual-level data derived from the World Values Survey to evaluate Wilkinson's [(1996). Unhealthy societies: The afflictions of inequality. London: Routledge; (1998). Mortality and distribution of income. Low relative income affects mortality [letter; comment]. British Medical Journal, 316, 1611-1612] income inequality hypothesis regarding variations in health status. Random-coefficient, multilevel modelling provides a direct test of Wilkinson's hypothesis using micro-data on individuals and macro-data on income inequalities analysed simultaneously. This overcomes the ecological fallacy that has troubled previous research into links between individual self-rated health, individual income, country income and income inequality data. Logic regression analysis reveals that there are substantial differences between countries in self-rated health after taking account of age and gender, and individual income has a clear effect in that poorer people report experiencing worse health. The Wilkinson hypothesis is not supported, however, since there is no significant relationship between health and income inequality when individual factors are taken into account. Substantial differences between countries remain even after taking account of micro- and macro-variables; in particular the former communist countries report high levels of poor health.

  14. Health-related quality of life inequalities by sexual orientation: Results from the Barcelona Health Interview Survey.

    Science.gov (United States)

    Marti-Pastor, Marc; Perez, Gloria; German, Danielle; Pont, Angels; Garin, Olatz; Alonso, Jordi; Gotsens, Mercè; Ferrer, Montse

    2018-01-01

    Studies on health-related quality of life (HRQoL) inequalities according to sexual orientation are scarce. The aim of this study was to assess HRQoL inequalities between lesbian, gay, and bisexual (LGB) people and heterosexuals in the 2011 Barcelona population, to describe the extent to which sociodemographic characteristics, health-related behaviors, and chronic conditions could explain such inequalities, and to understand if they are sexual orientation inequities. In the 2011 Barcelona Health Interview Survey 3277 adults answered the EQ-5D, which measures five dimensions of HRQoL summarized into a single utility index (1 = perfect health, 0 = death). To assess HRQoL differences by sexual orientation we constructed Tobit models for the EQ-5D index, and Poisson regression models for the EQ-5D dimensions. In both cases, nested models were constructed to assess the mediator role of selected variables. After adjusting by socio-demographic variables, the LGB group presented a significantly lower EQ-5D index than heterosexuals, and higher prevalence ratios of problems in physical EQ-5D dimensions among both genders: adjusted prevalence ratio (aPR) = 1.70 for mobility (p = 0.046) and 2.11 for usual activities (p = 0.019). Differences in mental dimensions were only observed among men: aPR = 3.15 for pain/discomfort (p = 0.003) and 2.49 for anxiety/depression (p = 0.030). All these differences by sexual orientation disappeared after adding chronic conditions and health-related behaviors in the models. The LGB population presented worse HRQoL than heterosexuals in the EQ-5D index and most dimensions. Chronic conditions, health-related behaviors and gender play a major role in explaining HRQoL differences by sexual orientation. These findings support the need of including sexual orientation into the global agenda of health inequities.

  15. Health-related quality of life inequalities by sexual orientation: Results from the Barcelona Health Interview Survey.

    Directory of Open Access Journals (Sweden)

    Marc Marti-Pastor

    Full Text Available Studies on health-related quality of life (HRQoL inequalities according to sexual orientation are scarce. The aim of this study was to assess HRQoL inequalities between lesbian, gay, and bisexual (LGB people and heterosexuals in the 2011 Barcelona population, to describe the extent to which sociodemographic characteristics, health-related behaviors, and chronic conditions could explain such inequalities, and to understand if they are sexual orientation inequities.In the 2011 Barcelona Health Interview Survey 3277 adults answered the EQ-5D, which measures five dimensions of HRQoL summarized into a single utility index (1 = perfect health, 0 = death. To assess HRQoL differences by sexual orientation we constructed Tobit models for the EQ-5D index, and Poisson regression models for the EQ-5D dimensions. In both cases, nested models were constructed to assess the mediator role of selected variables.After adjusting by socio-demographic variables, the LGB group presented a significantly lower EQ-5D index than heterosexuals, and higher prevalence ratios of problems in physical EQ-5D dimensions among both genders: adjusted prevalence ratio (aPR = 1.70 for mobility (p = 0.046 and 2.11 for usual activities (p = 0.019. Differences in mental dimensions were only observed among men: aPR = 3.15 for pain/discomfort (p = 0.003 and 2.49 for anxiety/depression (p = 0.030. All these differences by sexual orientation disappeared after adding chronic conditions and health-related behaviors in the models.The LGB population presented worse HRQoL than heterosexuals in the EQ-5D index and most dimensions. Chronic conditions, health-related behaviors and gender play a major role in explaining HRQoL differences by sexual orientation. These findings support the need of including sexual orientation into the global agenda of health inequities.

  16. Decomposing of Socioeconomic Inequality in Mental Health: A Cross-Sectional Study into Female-Headed Households.

    Science.gov (United States)

    Veisani, Yousef; Delpisheh, Ali

    2015-01-01

    Connection between socioeconomic statuses and mental health has been reported already. Accordingly, mental health asymmetrically is distributed in society; therefore, people with disadvantaged condition suffer from inconsistent burden of mental disorders. In this study, we aimed to understand the determinants of socioeconomic inequality of mental health in the female-headed households and decomposed contributions of socioeconomic determinants in mental health. In this cross-sectional study, 787 female-headed households were enrolled using systematic random sampling in 2014. Data were taken from the household assets survey and a self-administered 28 item General Health Questionnaire (GHQ-28) as a screening tool for detection of possible cases of mental disorders. Inequality was measured by concentration index (CI) and as decomposing contribution in inequality. All analyses were performed by standard statistical software Stata 11.2. The overall CI for mental health in the female-headed households was -0.049 (95% CI: -0.072, 0.025). The highly positive contributors for inequality in mental health in the female-headed households were age (34%) and poor household economic status (22%). Socioeconomic inequalities exist in mental health into female-headed households and mental health problems more prevalent in women with lower socioeconomic status.

  17. Global health inequalities and the need for solidarity: a view from the Global South.

    Science.gov (United States)

    Tosam, Mbih J; Chi, Primus Che; Munung, Nchangwi Syntia; Oukem-Boyer, Odile Ouwe Missi; Tangwa, Godfrey B

    2017-12-20

    Although the world has experienced remarkable progress in health care since the last half of the 20th century, global health inequalities still persist. In some poor countries life expectancy is between 37-40 years lower than in rich countries; furthermore, maternal and infant mortality is high and there is lack of access to basic preventive and life-saving medicines, as well a high prevalence of neglected diseases, HIV/AIDS, tuberculosis, and malaria. Moreover, globalization has made the world more connected than before such that health challenges today are no longer limited within national or regional boundaries, making all persons equally vulnerable. Because of this, diseases in the most affluent countries are closely connected with diseases in the poorest countries. In this paper, we argue that, because of global health inequalities, in a situation of equal vulnerability, there is need for global solidarity not only as a means of reducing health inequalities, but also as a way of putting up a united force against global health challenges. We argue for an African approach to solidarity in which the humanity of a person is not determined by his/her being human or rational capacity, but by his/her capacity to live a virtuous life. According to this view of solidarity, because no one is self-sufficient, no individual can survive alone. If we are to collectively flourish in a world where no individual, nation or region has all the health resources or protection needed for survival, we must engage in solidarity where we remain compassionate and available to one another at all times. © 2017 John Wiley & Sons Ltd.

  18. Resistance in Unjust Times: Archer, Structured Agency and the Sociology of Health Inequalities.

    Science.gov (United States)

    Scambler, Graham

    2013-02-01

    Few sociologists dissent from the notion that the mid- to late 1970s witnessed a shift in capitalism's modus operandi . Its association with a rapid increase of social and material inequality is beyond dispute. This article opens with a brief summation of contemporary British trends in economic inequalities, and finds an echo of these trends in health inequalities. It is suggested that the sociology of health inequalities in Britain lacks an analysis of agency, and that such an analysis is crucial. A case is made that the recent critical realist contribution of Margaret Archer on 'internal conversations' lends itself to an understanding of agency that is salient here. The article develops her typology of internal conversations to present characterizations of the 'focused autonomous reflexives' whose mind-sets are causally efficacious for producing and reproducing inequalities, and the 'dedicated meta-reflexives' whose casts of mind might yet predispose them to mobilize resistance to inequalities.

  19. Class and Health Inequality in Later Life: Patterns, Mechanisms and Implications for Policy

    Directory of Open Access Journals (Sweden)

    James Nazroo

    2017-12-01

    Full Text Available The growth of the post-retirement population, which has occurred as a result of rapid growth in life expectancy coupled with the ageing of the baby boomer cohort, has led to significant concern. This concern, however, typically neglects the heterogeneity of later life experiences and how these are patterned by inequalities that reflect how process of social stratification continue to operate into later life. This paper draws on a programme of work, based on analysis of the English Longitudinal Study of Ageing, to empirically examine questions of inequality in later life. It begins by illustrating the patterning of health inequality. It then investigates the importance of later life contexts and events in shaping inequality through and after the retirement process. In doing so it examines the extent to which later life continues to reflect stable social structures that shape inequalities and, consequently, health and wellbeing in later life. The paper then illustrates how the effects of socioeconomic position on health in later life can be theorised as a product of class processes, borrowing in part from Bourdieu. Other dimensions of inequality, such as gender, ethnicity, area and sexuality, are not discussed here. The paper concludes with a discussion of the need for a close focus on inequalities in later life in research, policy and practice.

  20. The Income Inequality Hypothesis Revisited : Assessing the Hypothesis Using Four Methodological Approaches

    NARCIS (Netherlands)

    Kragten, N.; Rözer, J.

    The income inequality hypothesis states that income inequality has a negative effect on individual’s health, partially because it reduces social trust. This article aims to critically assess the income inequality hypothesis by comparing several analytical strategies, namely OLS regression,

  1. Economic Inequality, Educational Inequity, and Reduced Career Opportunity: A Self-Perpetuating Cycle?

    Science.gov (United States)

    Torraco, Richard

    2018-01-01

    Economic inequality--the income gap between the wealthy and the poor--is increasing. Educational inequity has also increased with low-income students less likely to complete college than their wealthier counterparts. As the gap widens between the education "haves" and "have-nots," those with inadequate education are faced with…

  2. Socioeconomic inequalities and changes in oral health behaviors among Brazilian adolescents from 2009 to 2012.

    Science.gov (United States)

    Freire, Maria do Carmo Matias; Jordão, Lidia Moraes Ribeiro; Malta, Deborah Carvalho; Andrade, Silvânia Suely Caribé de Araújo; Peres, Marco Aurelio

    2015-01-01

    OBJECTIVE To analyze oral health behaviors changes over time in Brazilian adolescents concerning maternal educational inequalities. METHODS Data from the Pesquisa Nacional de Saúde do Escolar (Brazilian National School Health Survey) were analyzed. The sample was composed of 60,973 and 61,145 students from 26 Brazilian state capitals and the Federal District in 2009 and 2012, respectively. The analyzed factors were oral health behaviors (toothbrushing frequency, sweets consumption, soft drink consumption, and cigarette experimentation) and sociodemographics (age, sex, race, type of school and maternal schooling). Oral health behaviors and sociodemographic factors in the two years were compared (Rao-Scott test) and relative and absolute measures of socioeconomic inequalities in health were estimated (slope index of inequality and relative concentration index), using maternal education as a socioeconomic indicator, expressed in number of years of study (> 11; 9-11; ≤ 8). RESULTS Results from 2012, when compared with those from 2009, for all maternal education categories, showed that the proportion of people with low toothbrushing frequency increased, and that consumption of sweets and soft drinks and cigarette experimentation decreased. In private schools, positive slope index of inequality and relative concentration index indicated higher soft drink consumption in 2012 and higher cigarette experimentation in both years among students who reported greater maternal schooling, with no significant change in inequalities. In public schools, negative slope index of inequality and relative concentration index indicated higher soft drink consumption among students who reported lower maternal schooling in both years, with no significant change overtime. The positive relative concentration index indicated inequality in 2009 for cigarette experimentation, with a higher prevalence among students who reported greater maternal schooling. There were no inequalities for

  3. Can school meal provision contribute to the reduction of social inequalities in health and improve learning outcomes?

    DEFF Research Database (Denmark)

    Mikkelsen, Bent Egberg

    2013-01-01

    This case study focuses on school meal provision and its potential contribution to reducing social inequalities in health and improving learning outcomes among children and adolescents, using national approaches to school food services in Denmark and Sweden as examples. It describes the overall s...

  4. Neo-Marxian social class inequalities in self-rated health among the employed in South Korea: the role of material, behavioral, psychosocial, and workplace environmental factors

    Directory of Open Access Journals (Sweden)

    Kyoung Ae Kong

    2017-04-01

    according to the Wright’s social class in an industrialized Asian country. Policy efforts to improve workplace environments in nonskilled and skilled workers and nonskilled supervisors would have a moderate effect on reducing the magnitude of social class inequality in self-rated health. Furthermore, the means to improve power relations in the workplace should be devised to further reduce the social class inequalities in health.

  5. Neo-Marxian social class inequalities in self-rated health among the employed in South Korea: the role of material, behavioral, psychosocial, and workplace environmental factors.

    Science.gov (United States)

    Kong, Kyoung Ae; Khang, Young-Ho; Cho, Hong-Jun; Jang, Sung-Mi; Jung-Choi, Kyunghee

    2017-04-20

    . Policy efforts to improve workplace environments in nonskilled and skilled workers and nonskilled supervisors would have a moderate effect on reducing the magnitude of social class inequality in self-rated health. Furthermore, the means to improve power relations in the workplace should be devised to further reduce the social class inequalities in health.

  6. Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality.

    Science.gov (United States)

    Erreygers, Guido; Kessels, Roselinde

    2017-06-23

    We suggest an alternative way to construct a family of indices of socioeconomic inequality of health. Our indices belong to the broad category of linear indices. In contrast to rank-dependent indices, which are defined in terms of the ranks of the socioeconomic variable and the levels of the health variable, our indices are based on the levels of both the socioeconomic and the health variable. We also indicate how the indices can be modified in order to introduce sensitivity to inequality in the socioeconomic distribution and to inequality in the health distribution. As an empirical illustration, we make a comparative study of the relation between income and well-being in 16 European countries using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4.

  7. Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality

    Science.gov (United States)

    Kessels, Roselinde

    2017-01-01

    We suggest an alternative way to construct a family of indices of socioeconomic inequality of health. Our indices belong to the broad category of linear indices. In contrast to rank-dependent indices, which are defined in terms of the ranks of the socioeconomic variable and the levels of the health variable, our indices are based on the levels of both the socioeconomic and the health variable. We also indicate how the indices can be modified in order to introduce sensitivity to inequality in the socioeconomic distribution and to inequality in the health distribution. As an empirical illustration, we make a comparative study of the relation between income and well-being in 16 European countries using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4. PMID:28644405

  8. Poverty, Inequality, and Discrimination as Sources of Depression among U.S. Women.

    Science.gov (United States)

    Belle, Deborah; Doucet, Joanne

    2003-01-01

    Poverty, inequality, and discrimination endanger women's well-being. Poverty is a consistent predictor of depression in women. Economic inequalities relate to reduced life expectancy and various negative physical health consequences. Discrimination maintains inequalities, lessens economic security, and exposes women to unmerited contempt.…

  9. Health inequalities: survey data compared to doctor defined data.

    NARCIS (Netherlands)

    Westert, G.P.; Schellevis, F.G.

    2003-01-01

    Aim: To compare prevalence of conditions and health inequalities in one study population using two methods of data collection: health interview survey and GP registration of consultations. Methods: Data is from the Second Dutch Survey of General Practice, using a multistage sampling design with

  10. Discrimination-related health inequality and role of social capital among marriage migrant women in South Korea.

    Science.gov (United States)

    Kim, Chang-O

    2016-10-26

    This study aimed to evaluate whether social capital could alleviate health inequality against racial discrimination and identify the critical nature of social capital that generates health inequality differences within the social context of South Korea. Using the data of the 2009 National Survey of Multicultural Families, a nationally representative sample in which 40,430 foreign wives participated, the concentration index (CI) was used to measure the discrimination-related inequalities in self-rated health and was decomposed into contributing factors. The results showed a significant concentration of poor self-rated health unfavorable to foreign wives who were highly discriminated (CI 0.023, standard error [SE] 0.001, p inequality in health was observed among the group of linking social capital (CI 0.008, SE 0.008, p .332). The total differential decomposition method showed two major factors that generate differences in health inequality between the groups of non-linking and linking social capital: protest against discrimination (35.8 %); experiences of discrimination (28.3 %). The present results indicated that linking social capital can be a useful resource of health resilience factor that equalizes discrimination-related health inequality among marriage migrant women in South Korea. This study provides additional evidence that social capital needs to be placed in its political context.

  11. Evaluating the effect of policies and interventions to address inequalities in health: lessons from a Dutch programme

    NARCIS (Netherlands)

    Stronks, Karien; Mackenbach, Johan P.

    2006-01-01

    OBJECTIVES: Many initiatives have been taken in European countries that are designed to reduce inequalities in health. However, the effects of only a very few of these initiatives have been assessed. The main aim of a Dutch research and development programme was to systematically investigate and

  12. Preschoolers Reduce Inequality While Favoring Individuals with More

    Science.gov (United States)

    Li, Vivian; Spitzer, Brian; Olson, Kristina R.

    2014-01-01

    Inequalities are everywhere, yet little is known about how children respond to people affected by inequalities. This article explores two responses--minimizing inequalities and favoring those who are advantaged by them. In Studies 1a (N = 37) and 1b (N = 38), 4- and 5-year-olds allocated a resource to a disadvantaged recipient, but judged…

  13. Socioeconomic inequalities in adolescent health 2002-2010: a time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study.

    Science.gov (United States)

    Elgar, Frank J; Pförtner, Timo-Kolja; Moor, Irene; De Clercq, Bart; Stevens, Gonneke W J M; Currie, Candace

    2015-05-23

    Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income inequality. We undertook a time-series analysis of data from the Health Behaviour in School-aged Children study, in which cross-sectional surveys were done in 34 North American and European countries in 2002, 2006, and 2010 (pooled n 492,788). We used individual data for socioeconomic status (Health Behaviour in School-aged Children Family Affluence Scale) and health (days of physical activity per week, body-mass index Z score [zBMI], frequency of psychological and physical symptoms on 0-5 scale, and life satisfaction scored 0-10 on the Cantril ladder) to examine trends in health and socioeconomic inequalities in health. We also investigated whether international differences in health and health inequalities were associated with per person income and income inequality. From 2002 to 2010, average levels of physical activity (3·90 to 4·08 days per week; pInequalities between socioeconomic groups increased in physical activity (-0·79 to -0·83 days per week difference between most and least affluent groups; p=0·0008), zBMI (0·15 to 0·18; pinequality fall during this period (-0·98 to -0·95; p=0·0198). Internationally, the higher the per person income, the better and more equal health was in terms of physical activity (0·06 days per SD increase in income; pincome inequality uniquely related to fewer days of physical activity (-0·05 days; p=0·0295), higher zBMI (0·06; pinequalities between socioeconomic groups in psychological (0·13; p=0·0080) and physical (0·07; p=0·0022) symptoms, and life satisfaction (-0·10; p=0·0092). Socioeconomic inequality has increased in many domains of adolescent health. These trends coincide with unequal distribution of income between rich and poor

  14. Individual health and the visibility of village economic inequality: Longitudinal evidence from native Amazonians in Bolivia.

    Science.gov (United States)

    Undurraga, Eduardo A; Nica, Veronica; Zhang, Rebecca; Mensah, Irene C; Godoy, Ricardo A

    2016-12-01

    Mounting evidence suggests that income inequality is associated with worse individual health. But does the visibility of inequality matter? Using data from a horticultural-foraging society of native Amazonians in Bolivia (Tsimane'), we examined whether village inequality in resources and behaviors with greater cultural visibility is more likely to bear a negative association with health than village inequality in less conspicuous resources. We draw on a nine-year annual panel (2002-2010) from 13 Tsimane' villages for our main analysis, and an additional survey to gauge the cultural visibility of resources. We measured inequality using the Gini coefficient. We tested the robustness of our results using a shorter two-year annual panel (2008-2009) in another 40 Tsimane' villages and an additional measure of inequality (coefficient of variation, CV). Behaviors with low cultural visibility (e.g., household farm area planted with staples) were less likely to be associated with individual health, compared to more conspicuous behaviors (e.g., expenditures in durable goods, consumption of domesticated animals). We find some evidence that property rights and access to resources matter, with inequality of privately-owned resources showing a larger effect on health. More inequality was associated with improved perceived health - maybe due to improved health prospects from increasing wealth - and worse anthropometric indicators. For example, a unit increase in the Gini coefficient of expenditures in durable goods was associated with 0.24 fewer episodes of stress and a six percentage-point lower probability of reporting illness. A one-point increase in the CV of village inequality in meat consumption was associated with a 4 and 3 percentage-point lower probability of reporting illness and being in bed due to illness, and a 0.05 SD decrease in age-sex standardized arm-muscle area. In small-scale, rural societies at the periphery of market economies, nominal economic inequality in

  15. Evaluation of socio-economic inequalities in the use of maternal health services in rural western China.

    Science.gov (United States)

    Li, C; Zeng, L; Dibley, M J; Wang, D; Pei, L; Yan, H

    2015-09-01

    To describe the use of maternal health services according to the standards of the Chinese Ministry of Health, and assess socio-economic inequalities in usage in rural Shaanxi province, western China. Cross-sectional survey. Principal components analysis was used to measure the economic status of households. A concentration index (CI) approach was used as a measure of socio-economic inequalities in the use of maternal health services, and a decomposable CI was used to identify the factors that contributed to the socio-economic inequalities in usage. In total, 4760 women who had given birth in the preceding three years were selected at random to be interviewed in the five counties. Household wealth index was calculated by constructing a linear index from asset ownership indicators using principal components analysis to derive weights. The CI approach is a standard measure in the analysis of inequalities in health. If the CI for the use of maternal health services is positive, it is pro-rich; if it is negative, it is pro-poor. The decomposition method was used to estimate the contributions of individual factors to CI. The overall CI for five or more prenatal visits was 0.075. The household wealth index was found to make the greatest contribution to socio-economic inequalities for five or more prenatal visits (35.5%), followed by maternal education (28.8%), receipt of a health handbook during pregnancy (12.1%), age group (11.0%), distance from health facility (10.5%), family members (1.5%) and district of residence (0.6%). Socio-economic inequalities in the use of prenatal health services were pro-rich in rural western China. Socio-economic inequalities in hospital delivery and postnatal health check-ups were not evident. Improving household economic status, providing prenatal health services for women with low income and low educational level, providing health handbooks and improving traffic conditions should be promoted as methods to eliminate socio

  16. Socioeconomic Inequalities in Health and Perceived Unmet Needs for Healthcare among the Elderly in Germany

    Directory of Open Access Journals (Sweden)

    Jens Hoebel

    2017-09-01

    Full Text Available Research into health inequalities in the elderly population of Germany is relatively scarce. This study examines socioeconomic inequalities in health and perceived unmet needs for healthcare and explores the dynamics of health inequalities with age among elderly people in Germany. Data were derived from the Robert Koch Institute’s cross-sectional German Health Update study. The sample was restricted to participants aged 50–85 years (n = 11,811. Socioeconomic status (SES was measured based on education, (former occupation, and income. Odds ratios and prevalence differences were estimated using logistic regression and linear probability models, respectively. Our results show that self-reported health problems were more prevalent among men and women with lower SES. The extent of SES-related health inequalities decreased at older ages, predominantly among men. Although the prevalence of perceived unmet needs for healthcare was low overall, low SES was associated with higher perceptions of unmet needs in both sexes and for several kinds of health services. In conclusion, socioeconomic inequalities in health exist in a late working age and early retirement but may narrow at older ages, particularly among men. Socially disadvantaged elderly people perceive greater barriers to accessing healthcare services than those who are better off.

  17. [Indicators to monitor the evolution of the economic crisis and its effects on health and health inequalities. SESPAS report 2014].

    Science.gov (United States)

    Pérez, Glòria; Rodríguez-Sanz, Maica; Domínguez-Berjón, Felicitas; Cabeza, Elena; Borrell, Carme

    2014-06-01

    The economic crisis has adverse effects on determinants of health and health inequalities. The aim of this article was to present a set of indicators of health and its determinants to monitor the effects of the crisis in Spain. On the basis of the conceptual framework proposed by the Commission for the Reduction of Social Health Inequalities in Spain, we searched for indicators of social, economic, and political (structural and intermediate) determinants of health, as well as for health indicators, bearing in mind the axes of social inequality (gender, age, socioeconomic status, and country of origin). The indicators were mainly obtained from official data sources published on the internet. The selected indicators are periodically updated and are comparable over time and among territories (among autonomous communities and in some cases among European Union countries), and are available for age groups, gender, socio-economic status, and country of origin. However, many of these indicators are not sufficiently reactive to rapid change, which occurs in the economic crisis, and consequently require monitoring over time. Another limitation is the lack of availability of indicators for the various axes of social inequality. In conclusion, the proposed indicators allow for progress in monitoring the effects of the economic crisis on health and health inequalities in Spain. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  18. Do unfavourable working conditions explain mental health inequalities between ethnic groups? Cross-sectional data of the HELIUS study.

    Science.gov (United States)

    Nieuwenhuijsen, Karen; Schene, Aart H; Stronks, Karien; Snijder, Marieke B; Frings-Dresen, Monique H W; Sluiter, Judith K

    2015-08-20

    Ethnic inequalities in mental health have been found in many high-income countries. The purpose of this study is to test whether mental health inequalities between ethnic groups are mediated by exposure to unfavourable working conditions. Workers (n = 6278) were selected from baseline data of the multi-ethnic HELIUS study. Measures included two indices of unfavourable working conditions (lack of recovery opportunities, and perceived work stress), and two mental health outcomes (generic mental health: MCS-12 and depressive symptoms: PHQ-9). Mediation of the relationships between ethnicity and mental health by unfavourable working conditions was tested using the bias-corrected bootstrap confidence intervals technique. Linear models with and without the mediators included, and adjusted for gender and age. Attenuation was calculated as the change in B between the models with and without mediators. The sample comprised Dutch (1355), African Surinamese (1290), South-Asian Surinamese (1121), Turkish (1090), Ghanaian (729), and Moroccan (693) workers. After controlling for age and gender, all ethnic minorities had a higher risk of mental health problems as compared to the Dutch host population, with the exception of Ghanaians in the case of depressive symptoms, and African Surinamese workers with regard to both outcomes. The Turkish group stands out with the lowest mental health on both mental health indices, followed by Moroccan and South-Asian Surinamese workers. A lack of recovery opportunities mediated the relationship between ethnic group and a higher risk of mental health problems. Perceived work stress did not contribute to the explanation of ethnic inequalities. The higher risk of mental health problems in ethnic minority groups can be partly accounted for by a lack of recovery opportunities at work, but not by perceived work stress. This may imply that workplace prevention targeting recovery opportunities have the potential to reduce ethnic inequalities, but

  19. Inequalities in health--future threats to equity

    NARCIS (Netherlands)

    Gunning-Schepers, L. J.; Stronks, K.

    1999-01-01

    In discussions about equity there is a tendency to focus on the inequalities in health status that appear to be the result of the material and immaterial consequences of a lower income, professional or social status in society. If we look at publications such as the Black Report in the UK or

  20. Inequalities in advice provided by public health workers to women during antenatal sessions in rural India.

    Science.gov (United States)

    Singh, Abhishek; Pallikadavath, Saseendran; Ram, Faujdar; Ogollah, Reuben

    2012-01-01

    Studies have widely documented the socioeconomic inequalities in maternal and child health related outcomes in developing countries including India. However, there is limited research on the inequalities in advice provided by public health workers on maternal and child health during antenatal visits. This paper investigates the inequalities in advice provided by public health workers to women during antenatal visits in rural India. The District Level Household Survey (2007-08) was used to compute rich-poor ratios and concentration indices. Binary logistic regressions were used to investigate inequalities in advice provided by public health workers. The dependent variables comprised the advice provided on seven essential components of maternal and child health care. A significant proportion of pregnant women who attended at least four ANC sessions were not advised on these components during their antenatal sessions. Only 51%-72% of the pregnant women were advised on at least one of the components. Moreover, socioeconomic inequalities in providing advice were significant and the provision of advice concentrated disproportionately among the rich. Inequalities were highest in the case of advice on family planning methods. Advice on breastfeeding was least unequal. Public health workers working in lower level health facilities were significantly less likely than their counterparts in the higher level health facilities to provide specific advice. A significant proportion of women were not advised on recommended components of maternal and child health in rural India. Moreover, there were enormous socioeconomic inequalities. The findings of this study raise questions about the capacity of the public health care system in providing equitable services in India. The Government of India must focus on training and capacity building of the public health workers in communication skills so that they can deliver appropriate and recommended advice to all clients, irrespective of

  1. Inequalities in advice provided by public health workers to women during antenatal sessions in rural India.

    Directory of Open Access Journals (Sweden)

    Abhishek Singh

    Full Text Available Studies have widely documented the socioeconomic inequalities in maternal and child health related outcomes in developing countries including India. However, there is limited research on the inequalities in advice provided by public health workers on maternal and child health during antenatal visits. This paper investigates the inequalities in advice provided by public health workers to women during antenatal visits in rural India.The District Level Household Survey (2007-08 was used to compute rich-poor ratios and concentration indices. Binary logistic regressions were used to investigate inequalities in advice provided by public health workers. The dependent variables comprised the advice provided on seven essential components of maternal and child health care. A significant proportion of pregnant women who attended at least four ANC sessions were not advised on these components during their antenatal sessions. Only 51%-72% of the pregnant women were advised on at least one of the components. Moreover, socioeconomic inequalities in providing advice were significant and the provision of advice concentrated disproportionately among the rich. Inequalities were highest in the case of advice on family planning methods. Advice on breastfeeding was least unequal. Public health workers working in lower level health facilities were significantly less likely than their counterparts in the higher level health facilities to provide specific advice.A significant proportion of women were not advised on recommended components of maternal and child health in rural India. Moreover, there were enormous socioeconomic inequalities. The findings of this study raise questions about the capacity of the public health care system in providing equitable services in India. The Government of India must focus on training and capacity building of the public health workers in communication skills so that they can deliver appropriate and recommended advice to all clients

  2. Socioeconomic Inequalities in Mental Health of Adult Population: Serbian National Health Survey.

    Science.gov (United States)

    Santric-Milicevic, Milena; Jankovic, Janko; Trajkovic, Goran; Terzic-Supic, Zorica; Babic, Uros; Petrovic, Marija

    2016-01-01

    The global burden of mental disorders is rising. In Serbia, anxiety is the leading cause of disability-adjusted life years. Serbia has no mental health survey at the population level. The information on prevalence of mental disorders and related socioeconomic inequalities are valuable for mental care improvement. To explore the prevalence of mental health disorders and socioeconomic inequalities in mental health of adult Serbian population, and to explore whether age years and employment status interact with mental health in urban and rural settlements. Cross-sectional study. This study is an additional analysis of Serbian Health Survey 2006 that was carried out with standardized household questionnaires at the representative sample of 7673 randomly selected households - 15563 adults. The response rate was 93%. A multivariate logistic regression modeling highlighted the predictors of the 5 item Mental Health Inventory (MHI-5), and of chronic anxiety or depression within eight independent variables (age, gender, type of settlement, marital status and self-perceived health, education, employment status and Wealth Index). The significance level in descriptive statistics, chi square analysis and bivariate and multivariate logistic regressions was set at pinequalities contributed by differences in age, education, employment, marriage and the wealth status of the adult population.

  3. Individual wealth rank, community wealth inequality, and self-reported adult poor health: a test of hypotheses with panel data (2002-2006) from native Amazonians, Bolivia.

    Science.gov (United States)

    Undurraga, Eduardo A; Nyberg, Colleen; Eisenberg, Dan T A; Magvanjav, Oyunbileg; Reyes-García, Victoria; Huanca, Tomás; Leonard, William R; McDade, Thomas W; Tanner, Susan; Vadez, Vincent; Godoy, Ricardo

    2010-12-01

    Growing evidence suggests that economic inequality in a community harms the health of a person. Using panel data from a small-scale, preindustrial rural society, we test whether individual wealth rank and village wealth inequality affects self-reported poor health in a foraging-farming native Amazonian society. A person's wealth rank was negatively but weakly associated with self-reported morbidity. Each step up/year in the village wealth hierarchy reduced total self-reported days ill by 0.4 percent. The Gini coefficient of village wealth inequality bore a positive association with self-reported poor health that was large in size, but not statistically significant. We found small village wealth inequality, and evidence that individual economic rank did not change. The modest effects may have to do with having used subjective rather than objective measures of health, having small village wealth inequality, and with the possibly true modest effect of a person's wealth rank on health in a small-scale, kin-based society. Finally, we also found that an increase in mean individual wealth by village was related to worse self-reported health. As the Tsimane' integrate into the market economy, their possibilities of wealth accumulation rise, which may affect their well-being. Our work contributes to recent efforts in biocultural anthropology to link the study of social inequalities, human biology, and human-environment interactions.

  4. Lay perceptions of health and environmental inequalities and their associations to mental health.

    Science.gov (United States)

    Lima, Maria Luisa; Morais, Rita

    2015-11-01

    Health inequalities are very well documented in epidemiological research: rich people live longer and have fewer diseases than poor people. Recently, a growing amount of evidence from environmental sciences confirms that poor people are also more exposed to pollution and other environmental threats. However, research in the social sciences has shown a broad lack of awareness about health inequalities. In this paper, based on data collected in Portugal, we will analyze the consciousness of both health and environmental injustices and test one hypothesis for this social blindness. The results show, even more clearly than before, that public opinion tends to see rich and poor people as being equally susceptible to health and environmental events. Furthermore, those who have this equal view of the world present lower levels of depression and anxiety. Following cognitive adaptation theory, this "belief in an equal world" can be interpreted as a protective positive illusion about social justice, particularly relevant in one of the most unequal countries in Europe.

  5. The odd couple: using biomedical and intersectional approaches to address health inequities.

    Science.gov (United States)

    Hankivsky, Olena; Doyal, Lesley; Einstein, Gillian; Kelly, Ursula; Shim, Janet; Weber, Lynn; Repta, Robin

    Better understanding and addressing health inequities is a growing global priority. In this paper, we contribute to the literature examining complex relationships between biological and social dimensions in the field of health inequalities. Specifically, we explore the potential of intersectionality to advance current approaches to socio-biological entwinements. We provide a brief overview of current approaches to combining both biological and social factors in a single study, and then investigate the contributions of an intersectional framework to such work. We offer a number of concrete examples of how intersectionality has been used empirically to bring both biological and social factors together in the areas of HIV, post-traumatic stress disorder, female genital circumcision/mutilation/cutting, and cardiovascular disease. We argue that an intersectional approach can further research that integrates biological and social aspects of human lives and human health and ultimately generate better and more precise evidence for effective policies and practices aimed at tackling health inequities.

  6. Income inequality and population health in Islamic countries.

    Science.gov (United States)

    Esmaeili, A; Mansouri, S; Moshavash, M

    2011-09-01

    To undertake a fresh examination of the relationship between income inequality and population health for a group of Islamic countries using recent information derived from data resource sites from the World Bank and Islamic countries. Cross-sectional data on different measures of income distribution (prosperity, health care, women's role and environment) and indicators of population health were used to illuminate this issue. The relationship between income inequality and population health for a group of Islamic countries was tested using recent information derived from data resource sites from the World Bank and Islamic countries. After consideration of previous studies, seven dependent variables were determined and tested in six equation formats. According to the equations, the urban population percentage and gross domestic product are the most important significant variables that affect life expectancy and the infant mortality rate in Islamic countries. The income distribution coefficient, regardless of the type of measure, was almost insignificant in all equations. In selected Islamic countries, income level has a positive effect on population health, but the level of income distribution is not significant. Among the other dependent variables (e.g. different measures of income distribution, health care, role of women and environment), only environment and education had significant effects. Most of the Islamic countries studied are considered to be poorly developed. Copyright © 2011 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  7. Socio-economic inequalities in health and health service use among older adults in India: results from the WHO Study on Global AGEing and adult health survey.

    Science.gov (United States)

    Brinda, E M; Attermann, J; Gerdtham, U G; Enemark, U

    2016-12-01

    The objectives of this study were to measure socio-economic inequalities in self-reported health (SRH) and healthcare visits and to identify factors contributing to health inequalities among older people aged 50-plus years. This study is based on a population-based, cross-sectional survey. We accessed data of 7150 older adults from the World Health Organization's Study on Global AGEing and adult health Indian survey. We used multivariate logistic regression to assess the correlates of poor SRH. We estimated the concentration index to measure socio-economic inequalities in SRH and healthcare visits. Regression-based decomposition analysis was employed to explore the correlates contributing to poor SRH inequality. About 19% (95% CI: 18%, 20%) reported poor health (n = 1368) and these individuals were significantly less wealthy. In total, 5134 (71.8%) participants made at least one health service visit. Increasing age, female gender, low social caste, rural residence, multimorbidity, absence of pension support, and health insurance were significant correlates of poor SRH. The standardized concentration index of poor SRH -0.122 (95% CI: -0.102; -0.141) and healthcare visits 0.364 (95% CI: 0.324, 0.403) indicated pro-poor and pro-rich inequality, respectively. Economic status (62.3%), pension support (11.5%), health insurance coverage (11.5%), social caste (10.7%) and place of residence (4.1%) were important contributors to inequalities in poor health. Socio-economic disparities in health and health care are major concerns in India. Achievement of health equity demand strategies beyond health policies, to include pro-poor, social welfare policies among older Indians. Copyright © 2016 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  8. Child health inequities in developing countries: differences across urban and rural areas

    Directory of Open Access Journals (Sweden)

    Fotso Jean-Christophe

    2006-07-01

    Full Text Available Abstract Objectives To document and compare the magnitude of inequities in child malnutrition across urban and rural areas, and to investigate the extent to which within-urban disparities in child malnutrition are accounted for by the characteristics of communities, households and individuals. Methods The most recent data sets available from the Demographic and Health Surveys (DHS of 15 countries in sub-Saharan Africa (SSA are used. The selection criteria were set to ensure that the number of countries, their geographical spread across Western/Central and Eastern/Southern Africa, and their socioeconomic diversities, constitute a good yardstick for the region and allow us to draw some generalizations. A household wealth index is constructed in each country and area (urban, rural, and the odds ratio between its uppermost and lowermost category, derived from multilevel logistic models, is used as a measure of socioeconomic inequalities. Control variables include mother's and father's education, community socioeconomic status (SES designed to represent the broad socio-economic ecology of the neighborhoods in which families live, and relevant mother- and child-level covariates. Results Across countries in SSA, though socioeconomic inequalities in stunting do exist in both urban and rural areas, they are significantly larger in urban areas. Intra-urban differences in child malnutrition are larger than overall urban-rural differentials in child malnutrition, and there seem to be no visible relationships between within-urban inequities in child health on the one hand, and urban population growth, urban malnutrition, or overall rural-urban differentials in malnutrition, on the other. Finally, maternal and father's education, community SES and other measurable covariates at the mother and child levels only explain a slight part of the within-urban differences in child malnutrition. Conclusion The urban advantage in health masks enormous disparities

  9. Relative health effects of education, socioeconomic status and domestic gender inequity in Sweden: a cohort study.

    Science.gov (United States)

    Phillips, Susan P; Hammarström, Anne

    2011-01-01

    Limited existing research on gender inequities suggests that for men workplace atmosphere shapes wellbeing while women are less susceptible to socioeconomic or work status but vulnerable to home inequities. Using the 2007 Northern Swedish Cohort (n = 773) we identified relative contributions of perceived gender inequities in relationships, financial strain, and education to self-reported health to determine whether controlling for sex, examining interactions between sex and other social variables, or sex-disaggregating data yielded most information about sex differences. Men had lower education but also less financial strain, and experienced less gender inequity. Overall, low education and financial strain detracted from health. However, sex-disaggregated data showed this to be true for women, whereas for men only gender inequity at home affected health. In the relatively egalitarian Swedish environment where women more readily enter all work arenas and men often provide parenting, traditional primacy of the home environment (for women) and the work environment (for men) in shaping health is reversing such that perceived domestic gender inequity has a significant health impact on men, while for women only education and financial strain are contributory. These outcomes were identified only when data were sex-disaggregated.

  10. Identifying determinants of socioeconomic inequality in health service utilization among patients with chronic non-communicable diseases in China.

    Science.gov (United States)

    Xie, Xin; Wu, Qunhong; Hao, Yanhua; Yin, Hui; Fu, Wenqi; Ning, Ning; Xu, Ling; Liu, Chaojie; Li, Ye; Kang, Zheng; He, Changzhi; Liu, Guoxiang

    2014-01-01

    People with chronic non-communicable diseases (NCD) are particularly vulnerable to socioeconomic inequality due to their long-term expensive health needs. This study aimed to assess socioeconomic-related inequality in health service utilization among NCD patients in China and to analyze factors associated with this disparity. Data were taken from the 2008 Chinese National Health Survey, in which a multiple stage stratified random sampling method was employed to survey 56,456 households. We analyzed the distribution of actual use, need-expected use, and need-standardized usage of outpatient services (over a two-week period) and inpatient services (over one-year) across different income groups in 27,233 adult respondents who reported as having a NCD. We used a concentration index to measure inequality in the distribution of health services, which was expressed as HI (Horizontal Inequity Index) for need-standardized use of services. A non-linear probit regression model was employed to detect inequality across socio-economic groups. Pro-rich inequity in health services among NCD patients was more substantial than the average population. A higher degree of pro-rich inequity (HI = 0.253) was found in inpatient services compared to outpatient services (HI = 0.089). Despite a greater need for health services amongst those of lower socio-economic status, their actual use is much less than their more affluent counterparts. Health service underuse by the poor and overuse by the affluent are evident. Household income disparity was the greatest inequality factor in NCD service use for both outpatients (71.3%) and inpatients (108%), more so than health insurance policies. Some medical insurance schemes, such as the MIUE, actually made a pro-rich contribution to health service inequality (16.1% for outpatient and 12.1% for inpatient). Inequality in health services amongst NCD patients in China remains largely determined by patient financial capability. The current

  11. Gender inequity in Saudi Arabia and its role in public health.

    Science.gov (United States)

    Mobaraki, A E H; Söderfeldt, B

    2010-01-01

    In Saudi Arabia, local interpretations of Islamic laws and social norms have a negative impact on the health and well-being of women. The objective of this literature review was to discuss gender inequity in Saudi Arabia and its relation to public health. Despite the scarcity of recent statistics and information regarding gender inequity in Saudi Arabia, this review is an attempt to explore this sensitive issue in this country. Women's roles and rights in Saudi society were examined, including education, marriage, polygamy, fertility, job opportunities, car driving and identification cards. Further research to assess knowledge, attitudes and practices towards health care of Saudi men and women is recommended.

  12. Decomposing income-related inequality in cervical screening in 67 countries.

    Science.gov (United States)

    McKinnon, Brittany; Harper, Sam; Moore, Spencer

    2011-04-01

    The development of successful policies to reduce income-related inequalities in cervical cancer screening rates requires an understanding of the reasons why low-income women are less likely to be screened. We sought to identify important determinants contributing to inequality in cervical screening rates. We analyzed data from 92,541 women aged 25-64 years, who participated in the World Health Survey in 2002-2003. Income-related inequality in Pap screening was measured using the concentration index (CI). Using a decomposition method for the CI, we quantified the contribution to inequality of age, education level, marital status, urbanicity and recent health-care need. There was substantial heterogeneity in the contributions of different determinants to inequality among countries. Education generally made the largest contribution (median = 15%, interquartile range [IQR] = 23%), although this varied widely even within regions (e.g., 5% in Austria, 28% in Hungary). The contribution of rural residence was greatest in African countries (median = 10%, IQR = 13%); however, there was again substantial within-region variation (e.g., 26% in Zambia, 2% in Kenya). Considerable heterogeneity in the contributions of screening determinants among countries suggests interventions to reduce screening inequalities may require country-specific approaches.

  13. The social income inequality, social integration and health status of internal migrants in China.

    Science.gov (United States)

    Lin, Yanwei; Zhang, Qi; Chen, Wen; Ling, Li

    2017-08-04

    To examine the interaction between social income inequality, social integration, and health status among internal migrants (IMs) who migrate between regions in China. We used the data from the 2014 Internal Migrant Dynamic Monitoring Survey in China, which sampled 15,999 IMs in eight cities in China. The Gini coefficient at the city level was calculated to measure social income inequality and was categorized into low (0.2 0.5). Health status was measured based upon self-reported health, subjective well-being, and perceptions of stress and mental health. Social integration was measured from four perspectives (acculturation and integration willingness, social insurance, economy, social communication). Linear mixed models were used to examine the interaction effects between health statuses, social integration, and the Gini coefficient. Factors of social integration, such as economic integration and acculturation and integration willingness, were significantly related to health. Social income inequality had a negative relationship with the health status of IMs. For example, IMs in one city, Qingdao, with a medium income inequality level (Gini = 0.329), had the best health statuses and better social integration. On the other hand, IMs in another city, Shenzhen, who had a large income inequality (Gini = 0.447) were worst in health statues and had worse social integration. Policies or programs targeting IMs should support integration willingness, promote a sense of belonging, and improve economic equality. In the meantime, social activities to facilitate employment and create social trust should also be promoted. At the societal level, structural and policy changes are necessary to promote income equity to promote IMs' general health status.

  14. Neoliberalism and the recommodification of health inequalities: A case study of the Swedish welfare state 1980 to 2011.

    Science.gov (United States)

    Farrants, Kristin; Bambra, Clare

    2018-02-01

    This paper examines the effects of neoliberalism on health inequalities through an empirical examination of the recommodification of the social determinants of health. It uses a detailed case study of changes to three specific welfare policy domains in Sweden: unemployment, healthcare, and pensions. Using time series data from the repeat cross-sectional Swedish Living Conditions Survey for 1980-2011, it examines: (1) the effects of reductions in the replacement rate value of unemployment benefit on inequalities in self-reported general health between the employed and the unemployed; (2) the effects of reductions in the replacement rate value of pensions on educational inequalities in self-reported general health among pensioners; and (3) the effects of the increase in user charges on inequalities in having visited a doctor in the past 3 months by educational level. The results suggest mixed effects of welfare state recommodification on health inequalities: inequalities increased between the Swedish employed and unemployed, yet they did not increase in the retired population, and inequalities in access to healthcare also remained steady during the study period. The paper concludes that the association between recommodification and health inequalities in Sweden is stronger regarding unemployment benefits than pensions or healthcare, and that this may relate to the stigmatisation of the unemployed.

  15. Sexual orientation health inequality: Evidence from Understanding Society, the UK Longitudinal Household Study.

    Science.gov (United States)

    Booker, Cara L; Rieger, Gerulf; Unger, Jennifer B

    2017-08-01

    Few studies from the United Kingdom have fully investigated inequalities between members of different sexual minority groups and heterosexuals over range of health outcomes. Using data from over 40,000 individuals, this study explores the health inequalities of sexual minority UK adults. We include respondents who identify as other and those who prefer not to say (PNS). Data come from wave three (2011-2012) of the nationally-representative Understanding Society, the UK Household Longitudinal Study. Sexual orientation was asked in the self-completion portion of the study. Markers of health include physical and mental functioning, minor psychological distress, self-rated health, substance use and disability. Multiple linear and logistic regression analyses tested for differences in markers of health between sexual orientation groups. Overall, heterosexual respondents had the best health while bisexual respondents had the worst. Gay and lesbian respondents reported poorer health than heterosexuals, specifically with regards to mental functioning, distress and illness status. The other and PNS respondents were most similar to each other and generally experienced fewer health inequalities than gay and lesbian respondents; they were less likely to use tobacco or alcohol. In sum, sexual minorities experience health inequality. The inclusion of other and PNS respondents has not been done in other studies and shows that while they may be healthier than gay/lesbian and bisexual respondents they still experiences poorer health than heterosexuals. Health promotion interventions are needed for these other and PNS individuals, who might not participate in interventions targeted toward known sexual minority groups. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  16. Health and social inequities in Belgium.

    Science.gov (United States)

    Lagasse, R; Humblet, P C; Lenaerts, A; Godin, I; Moens, G F

    1990-01-01

    This paper presents two different yet complementary on-going studies related to the understanding of the mechanisms leading to social inequalities in health. The first part is devoted to a differential morbidity survey held in southern Belgium. It confirms that striking differences exist in the period around birth between social categories, and between the three districts under study. In a multivariate approach, differences remain between the social categories and between the district samples, which classically studied socio-demographical, behavioural and medical characteristics cannot fully explain. The role of cultural factors is analysed and discussed through the concept of 'health culture' and alternative hypotheses are reviewed in the light of the results. The second part reviews the studies conducted on the so-called avoidable mortality in the EEC and more specifically in Belgium. The concept of avoidable mortality is discussed, as well as its utility from the standpoint of the present concern on social inequalities. Differences between EEC countries are large, and even within Belgium there are important disparities between the districts. The role of health care supply has not been demonstrated yet in these two contexts. For Belgium, it appears that a major part of the unequally distributed mortality is constituted by causes of death considered as avoidable. Moreover, the most discriminating causes of death are overrepresented in socially deprived districts. The two perspectives are confronted in order to delineate perspectives for future research and operational outcomes for policy making and interventions.

  17. Socioeconomic inequalities in adolescent health 2002-2010 : A time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study

    NARCIS (Netherlands)

    Elgar, Frank J.; Pförtner, Timo Kolja; Moor, Irene; De Clercq, Bart; Stevens, Gonneke W J M|info:eu-repo/dai/nl/269103775; Currie, Candace

    2015-01-01

    Background Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income

  18. Income inequality and health in Colombia

    Directory of Open Access Journals (Sweden)

    Sandra Rodríguez Acosta

    2016-07-01

    Full Text Available The purpose of this paper is twofold: first, to examine independent of the individual socioeconomic status, the effect of the contextual economic conditions on the self-rated health and, second, to explore region-level mechanisms that could explain the influence of the structural economic conditions on the low self-rated health status. For this, we use a multilevel analysis that allows us to distinguish between the individual and the contextual factors influencing the self-rated health. The results show that the socioeconomic status is an important determinant of the self-rated health of population in Colombia. However, significant differences remain in the health perception, even after controlling for individual wealth, education level and ethnicity. These differences only disappear when controlling for income inequality in the analysis.

  19. Media portrayals and health inequalities: a case study of characterizations of Gene x Environment interactions.

    Science.gov (United States)

    Horwitz, Allan V

    2005-10-01

    This article examines how genetic and environmental interactions associated with health inequalities are constructed and framed in the presentation of scientific research. It uses the example of a major article about depression in a longitudinal study of young adults that appeared in Science in 2003. This portrayal of findings related to health inequalities uses a genetic lens that privileges genetic influences and diminishes environmental ones. The emphasis on the genetic side of Gene x Environment interactions can serve to deflect attention away from the important impact of social inequalities on health.

  20. Gender inequality: Bad for men's health | Cornell | Southern African ...

    African Journals Online (AJOL)

    Yet, this extreme gender inequality in mortality, both within and outside of ART programmes, has not given rise to widespread action. Here it is argued that, despite their dominance in society, men may be subject to a wide range of unfair discriminatory practices, which negatively affect their health outcomes. The health ...

  1. Gender inequalities in occupational health related to the unequal distribution of working and employment conditions: a systematic review.

    Science.gov (United States)

    Campos-Serna, Javier; Ronda-Pérez, Elena; Artazcoz, Lucia; Moen, Bente E; Benavides, Fernando G

    2013-08-05

    Gender inequalities exist in work life, but little is known about their presence in relation to factors examined in occupation health settings. The aim of this study was to identify and summarize the working and employment conditions described as determinants of gender inequalities in occupational health in studies related to occupational health published between 1999 and 2010. A systematic literature review was undertaken of studies available in MEDLINE, EMBASE, Sociological Abstracts, LILACS, EconLit and CINAHL between 1999 and 2010. Epidemiologic studies were selected by applying a set of inclusion criteria to the title, abstract, and complete text. The quality of the studies was also assessed. Selected studies were qualitatively analysed, resulting in a compilation of all differences between women and men in the prevalence of exposure to working and employment conditions and work-related health problems as outcomes. Most of the 30 studies included were conducted in Europe (n=19) and had a cross-sectional design (n=24). The most common topic analysed was related to the exposure to work-related psychosocial hazards (n=8). Employed women had more job insecurity, lower control, worse contractual working conditions and poorer self-perceived physical and mental health than men did. Conversely, employed men had a higher degree of physically demanding work, lower support, higher levels of effort-reward imbalance, higher job status, were more exposed to noise and worked longer hours than women did. This systematic review has identified a set of working and employment conditions as determinants of gender inequalities in occupational health from the occupational health literature. These results may be useful to policy makers seeking to reduce gender inequalities in occupational health, and to researchers wishing to analyse these determinants in greater depth.

  2. Gender inequalities in occupational health related to the unequal distribution of working and employment conditions: a systematic review

    Science.gov (United States)

    2013-01-01

    Introduction Gender inequalities exist in work life, but little is known about their presence in relation to factors examined in occupation health settings. The aim of this study was to identify and summarize the working and employment conditions described as determinants of gender inequalities in occupational health in studies related to occupational health published between 1999 and 2010. Methods A systematic literature review was undertaken of studies available in MEDLINE, EMBASE, Sociological Abstracts, LILACS, EconLit and CINAHL between 1999 and 2010. Epidemiologic studies were selected by applying a set of inclusion criteria to the title, abstract, and complete text. The quality of the studies was also assessed. Selected studies were qualitatively analysed, resulting in a compilation of all differences between women and men in the prevalence of exposure to working and employment conditions and work-related health problems as outcomes. Results Most of the 30 studies included were conducted in Europe (n=19) and had a cross-sectional design (n=24). The most common topic analysed was related to the exposure to work-related psychosocial hazards (n=8). Employed women had more job insecurity, lower control, worse contractual working conditions and poorer self-perceived physical and mental health than men did. Conversely, employed men had a higher degree of physically demanding work, lower support, higher levels of effort-reward imbalance, higher job status, were more exposed to noise and worked longer hours than women did. Conclusions This systematic review has identified a set of working and employment conditions as determinants of gender inequalities in occupational health from the occupational health literature. These results may be useful to policy makers seeking to reduce gender inequalities in occupational health, and to researchers wishing to analyse these determinants in greater depth. PMID:23915121

  3. Income-related health inequality of migrant workers in China and its decomposition: An analysis based on the 2012 China Labor-force Dynamics Survey data.

    Science.gov (United States)

    Shao, Cenyi; Meng, Xuehui; Cui, Shichen; Wang, Jingru; Li, Chengcheng

    2016-10-01

    Although migrant workers are a vulnerable group in China, they demonstrably contribute to the country's economic growth and prosperity. This study aimed to describe and assess the inequality of migrant worker health in China and its association with socioeconomic determinants. The data utilized in this study were obtained from the 2012 China Labor-force Dynamics Survey conducted in 29 Chinese provinces. This study converted the self-rated health of these migrant workers into a general cardinal ill-health score. Determinants associated with migrant worker health included but were not limited to age, marital status, income, and education, among other factors. Concentration index, concentration curve, and decomposition of the concentration index were employed to measure socioeconomic inequality in migrant workers' health. Prorich inequality was found in the health of migrant workers. The concentration index was -0.0866, as a score indicator of ill health. Decomposition of the concentration index revealed that the factors most contributing to the observed inequality were income, followed by gender, age, marital status, and smoking history. It is generally known that there is an unequal socioeconomic distribution of migrant worker health in China. In order to reduce the health inequality, the government should make a substantial effort to strengthen policy implementation in improving the income distribution for vulnerable groups. After this investigation, it is apparent that the findings we have made warrant further investigation. Copyright © 2016. Published by Elsevier Taiwan LLC.

  4. Inequalities in Health Status from EQ-5D Findings: A Cross-Sectional Study in Low-Income Communities of Bangladesh

    Science.gov (United States)

    Sultana, Marufa; Sarker, Abdur Razzaque; Mahumud, Rashidul Alam; Ahmed, Sayem; Ahmed, Wahid; Chakrovorty, Sanchita; Rahman, Hafizur; Islam, Ziaul; Khan, Jahangir A. M.

    2016-01-01

    Background: Measuring health status by using standardized and validated instrument has become a growing concern over the past few decades throughout the developed and developing countries. The aim of the study was to investigate the overall self-reported health status along with potential inequalities by using EuroQol 5 dimensions (EQ-5D) instrument among low-income people of Bangladesh. Methods: A cross-sectional household survey was conducted in Chandpur district of Bangladesh. Bangla version of the EQ-5D questionnaire was employed along with socio-demographic information. EQ-5D questionnaire composed of 2-part measurements: EQ-5D descriptive system and the visual analogue scale (VAS). For measuring health status, UK-based preference weights were applied while higher score indicated better health status. For facilitating the consistency with EQ-5D score, VASs were converted to a scale with scores ranging from 0 to 1. Multiple logistic regression models were also employed to examine differences among EQ-5D dimensions. Results: A total of 1433 respondents participated in the study. The mean EQ-5D and VAS score was 0.76 and 0.77, respectively. The females were more likely to report any problem than the males (P economic and demographic inequalities in health status was observed in the study. Study suggests to do further investigation with country representative sample to measure the inequalities of overall health status. It would be helpful for policy-maker to find a new way aiming to reduce such inequalities. PMID:27239879

  5. Health inequalities, physician citizens and professional medical associations: an Australian case study

    Directory of Open Access Journals (Sweden)

    Naccarella Lucio

    2007-08-01

    Full Text Available Abstract Background As socioeconomic health inequalities persist and widen, the health effects of adversity are a constant presence in the daily work of physicians. Gruen and colleagues suggest that, in responding to important population health issues such as this, defining those areas of professional obligation in contrast to professional aspiration should be on the basis of evidence and feasibility. Drawing this line between obligation and aspiration is a part of the work of professional medical colleges and associations, and in doing so they must respond to members as well as a range of other interest groups. Our aim was to explore the usefulness of Gruen's model of physician responsibility in defining how professional medical colleges and associations should lead the profession in responding to socioeconomic health inequalities. Methods We report a case study of how the Royal Australian College of General Practitioners is responding to the issue of health inequalities through its work. We undertook a consultation (80 interviews with stakeholders internal and external to the College and two focus groups with general practitioners and program and policy review of core programs of College interest and responsibility: general practitioner training and setting of practice standards, as well as its work in public advocacy. Results Some strategies within each of these College program areas were seen as legitimate professional obligations in responding to socioeconomic health inequality. However, other strategies, while potentially professional obligations within Gruen's model, were nevertheless contested. The key difference between these lay in different moral orientations. Actions where agreement existed were based on an ethos of care and compassion. Actions that were contested were based on an ethos of justice and human rights. Conclusion Colleges and professional medical associations have a role in explicitly leading a debate about values

  6. Nonmarital First Births, Marriage, and Income Inequality.

    Science.gov (United States)

    Cherlin, Andrew J; Ribar, David; Yasutake, Suzumi

    2016-08-01

    Many aggregate-level studies suggest a relationship between economic inequality and socio-demographic outcomes such as family formation, health, and mortality; but individual-level evidence is lacking. Nor is there satisfactory evidence on the mechanisms by which inequality may have an effect. We study the determinants of transitions to a nonmarital first birth as a single parent or as a cohabiting parent compared to transitions to marriage prior to a first birth among unmarried, childless young adults in the National Longitudinal Survey of Youth, 1997 cohort, from 1997 to 2011. We include measures of county-group-level household income inequality and of the availability of jobs typically held by high-school graduates and which pay above-poverty wages. We find that greater income inequality is associated with a reduced likelihood of transitioning to marriage prior to a first birth for both women and men. The association between levels of inequality and transitions to marriage can be partially accounted for by the availability of jobs of the type we measured. Some models also suggest that greater income inequality is associated with a reduced likelihood of transitioning to a first birth while cohabiting.

  7. Time to address gender discrimination and inequality in the health workforce.

    Science.gov (United States)

    Newman, Constance

    2014-05-06

    Gender is a key factor operating in the health workforce. Recent research evidence points to systemic gender discrimination and inequalities in health pre-service and in-service education and employment systems. Human resources for health (HRH) leaders' and researchers' lack of concerted attention to these inequalities is striking, given the recognition of other forms of discrimination in international labour rights and employment law discourse. If not acted upon, gender discrimination and inequalities result in systems inefficiencies that impede the development of the robust workforces needed to respond to today's critical health care needs.This commentary makes the case that there is a clear need for sex- and age-disaggregated and qualitative data to more precisely illuminate gender-related trends and dynamics in the health workforce. Because of their importance for measurement, the paper also presents definitions and examples of sex or gender discrimination and offers specific case examples.At a broader level, the commentary argues that gender equality should be an HRH research, leadership, and governance priority, where the aim is to strengthen health pre-service and continuing professional education and employment systems to achieve better health systems outcomes, including better health coverage. Good HRH leadership, governance, and management involve recognizing the diversity of health workforces, acknowledging gender constraints and opportunities, eliminating gender discrimination and equalizing opportunity, making health systems responsive to life course events, and protecting health workers' labour rights at all levels. A number of global, national and institution-level actions are proposed to move the gender equality and HRH agendas forward.

  8. The influence of gender equality policies on gender inequalities in health in Europe.

    Science.gov (United States)

    Palència, Laia; Malmusi, Davide; De Moortel, Deborah; Artazcoz, Lucía; Backhans, Mona; Vanroelen, Christophe; Borrell, Carme

    2014-09-01

    Few studies have addressed the effect of gender policies on women's health and gender inequalities in health. This study aims to analyse the relationship between the orientation of public gender equality policies and gender inequalities in health in European countries, and whether this relationship is mediated by gender equality at country level or by other individual social determinants of health. A multilevel cross-sectional study was performed using individual-level data extracted from the European Social Survey 2010. The study sample consisted of 23,782 men and 28,655 women from 26 European countries. The dependent variable was self-perceived health. Individual independent variables were gender, age, immigrant status, educational level, partner status and employment status. The main contextual independent variable was a modification of Korpi's typology of family policy models (Dual-earner, Traditional-Central, Traditional-Southern, Market-oriented and Contradictory). Other contextual variables were the Gender Empowerment Measure (GEM), to measure country-level gender equality, and the Gross Domestic Product (GDP). For each country and country typology the prevalence of fair/poor health by gender was calculated and prevalence ratios (PR, women compared to men) and 95% confidence intervals (CI) were computed. Multilevel robust Poisson regression models were fitted. Women had poorer self-perceived health than men in countries with traditional family policies (PR = 1.13, 95%CI: 1.07-1.21 in Traditional-Central and PR = 1.27, 95%CI: 1.19-1.35 in Traditional-Southern) and in Contradictory countries (PR = 1.08, 95%CI: 1.05-1.11). In multilevel models, only gender inequalities in Traditional-Southern countries were significantly higher than those in Dual-earner countries. Gender inequalities in self-perceived health were higher, women reporting worse self-perceived health than men, in countries with family policies that were less oriented to gender equality

  9. Relative health effects of education, socioeconomic status and domestic gender inequity in Sweden: a cohort study.

    Directory of Open Access Journals (Sweden)

    Susan P Phillips

    Full Text Available INTRODUCTION: Limited existing research on gender inequities suggests that for men workplace atmosphere shapes wellbeing while women are less susceptible to socioeconomic or work status but vulnerable to home inequities. METHODS: Using the 2007 Northern Swedish Cohort (n = 773 we identified relative contributions of perceived gender inequities in relationships, financial strain, and education to self-reported health to determine whether controlling for sex, examining interactions between sex and other social variables, or sex-disaggregating data yielded most information about sex differences. RESULTS AND DISCUSSION: Men had lower education but also less financial strain, and experienced less gender inequity. Overall, low education and financial strain detracted from health. However, sex-disaggregated data showed this to be true for women, whereas for men only gender inequity at home affected health. In the relatively egalitarian Swedish environment where women more readily enter all work arenas and men often provide parenting, traditional primacy of the home environment (for women and the work environment (for men in shaping health is reversing such that perceived domestic gender inequity has a significant health impact on men, while for women only education and financial strain are contributory. These outcomes were identified only when data were sex-disaggregated.

  10. Educational inequalities in tuberculosis mortality in sixteen European populations

    Science.gov (United States)

    Álvarez, J. L.; Kunst, A. E.; Leinsalu, M.; Bopp, M.; Strand, B. H.; Menvielle, Gwenn; Lundberg, O.; Martikainen, P.; Deboosere, P.; Kalediene, R.; Artnik, B.; Mackenbach, J. P.; Richardus, J. H.

    2011-01-01

    Objective We aim to describe the magnitude of socioeconomic inequalities in tuberculosis (TB) mortality by level of education in male, female, urban, and rural populations in several European countries. Design Data were obtained from the Eurothine project covering 16 populations between 1990 and 2003. Age- and sex-standardized mortality rates, the Relative Index of Inequality, and the slope index of inequality were used to assess educational inequalities. Results The number of TB deaths reported was 8530, with a death rate of 3 per 100 000 per year, of which 73% were males. Educational inequalities in TB mortality were present in all European populations. Inequalities in TB mortality were larger than in total mortality. Relative and absolute inequalities were large in Eastern Europe, and Baltic countries but relatively small in Southern countries and in Norway, Finland, and Sweden. Mortality inequalities were observed among both men and women, and in both rural and urban populations. Conclusions Socioeconomic inequalities in TB mortality exist in all European countries. Firm political commitment is required to reduce inequalities in the social determinants of TB incidence. Targeted public health measures are called for to improve vulnerable groups’ access to treatment and thereby reduce TB mortality. PMID:22008757

  11. A globalization-oriented perspective on health, inequality and socio-economic development.

    Science.gov (United States)

    Tausch, Arno

    2012-01-01

    There has been an attention to inequality as a causal factor for deficient health in the medical journals over the last decades (Richard G. Wilkinson et al. and Schnell et al.); however, the reasons for inequality and the interactions of the underlying causes of inequality at the level of the world economy have not yet been properly explored in this kind of literature. The aim of this article is to provide a new, globalization-oriented, multi-disciplinary perspective on life expectancy, under-five mortality, inequality and socio-economic development in the world system, compatible with the advances in international sociological research on the subject over the last three decades. Taking up the traditions of quantitative sociology to study the effects of multinational corporation (MNC) penetration as a key determining variable for development outcomes such as socio-economic inequality and infant mortality, this article analyzes from the perspective of quantitative political science and economics this particular role of MNC penetration as the key variable for the determination of health, inequality and socio-economic development in 183 countries of the world system, using international social science standard data. As correctly predicted by quantitative sociology, but largely overlooked by the medical profession, the development style, implied by a high MNC penetration of their host countries, reflects the oligopolistic power, which transnational corporations wield over local economies. We took up an idea from Austro-American economist Joseph Alois Schumpeter (1883-1950), which states that the long-term effects of oligopolistic power are negative and lead toward economic and social stagnation. Our data show that although MNC penetration indeed led to certain short-term growth effects after 1990, today, social polarization and stagnation increase as a consequence of the development model, based on high MNC penetration. There is a negative trade-off between MNC

  12. Identifying determinants of socioeconomic inequality in health service utilization among patients with chronic non-communicable diseases in China.

    Directory of Open Access Journals (Sweden)

    Xin Xie

    Full Text Available BACKGROUND: People with chronic non-communicable diseases (NCD are particularly vulnerable to socioeconomic inequality due to their long-term expensive health needs. This study aimed to assess socioeconomic-related inequality in health service utilization among NCD patients in China and to analyze factors associated with this disparity. METHODS: Data were taken from the 2008 Chinese National Health Survey, in which a multiple stage stratified random sampling method was employed to survey 56,456 households. We analyzed the distribution of actual use, need-expected use, and need-standardized usage of outpatient services (over a two-week period and inpatient services (over one-year across different income groups in 27,233 adult respondents who reported as having a NCD. We used a concentration index to measure inequality in the distribution of health services, which was expressed as HI (Horizontal Inequity Index for need-standardized use of services. A non-linear probit regression model was employed to detect inequality across socio-economic groups. RESULTS: Pro-rich inequity in health services among NCD patients was more substantial than the average population. A higher degree of pro-rich inequity (HI = 0.253 was found in inpatient services compared to outpatient services (HI = 0.089. Despite a greater need for health services amongst those of lower socio-economic status, their actual use is much less than their more affluent counterparts. Health service underuse by the poor and overuse by the affluent are evident. Household income disparity was the greatest inequality factor in NCD service use for both outpatients (71.3% and inpatients (108%, more so than health insurance policies. Some medical insurance schemes, such as the MIUE, actually made a pro-rich contribution to health service inequality (16.1% for outpatient and 12.1% for inpatient. CONCLUSIONS: Inequality in health services amongst NCD patients in China remains largely

  13. An agent-based simulation of persistent inequalities in health behavior: Understanding the interdependent roles of segregation, clustering, and social influence

    Directory of Open Access Journals (Sweden)

    Brent A. Langellier

    2016-12-01

    Full Text Available Health inequalities are conspicuously persistent through time and often durable even in spite of interventions. In this study, I use agent-based simulation models (ABMs to understand how the complex interrelationships between residential segregation, social network formation, group-level preferences, and social influence may contribute to this persistence. I use a more-stylized ABM, Bubblegum Village (BV, to understand how initial inequalities in bubblegum-chewing behaviors either endure, increase, or decrease over time given group-level differences in preferences, neighborhood-level barriers or facilitators of bubblegum chewing (e.g., access to bubblegum shops, and agents’ preferences for segregation, homophily, and clustering (i.e., the ‘tightness’ of social networks. I further use BV to understand whether segregation and social network characteristics impact whether the effects of a bubblegum-reduction intervention that is very effective in the short term are durable over time, as well as to identify intervention strategies to reduce attenuation of the intervention effects. In addition to BV, I also present results from an ABM based on the distribution and social characteristics of the population in Philadelphia, PA. This model explores similar questions to BV, but examines racial/ethnic inequalities in soda consumption based on agents’ social characteristics and baseline soda consumption probabilities informed by the 2007–2010 National Health and Nutrition Examination Survey. Collectively, the models suggest that residential segregation is a fundamental process for the production and persistence of health inequalities. The other major conclusion of the study is that, for behaviors that are subject to social influence and that cluster within social groups, interventions that are randomly-targeted to individuals with ‘bad’ behaviors will likely experience a large degree of recidivism to pre-intervention behaviors. In contrast

  14. Health Inequities and HIV, Viral Hepatitis, TB, and STDs

    Centers for Disease Control (CDC) Podcasts

    Dr. Kevin A. Fenton, Director of CDC's National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), discusses health inequities in the United States and how NCHHSTP research, policies, and programs can address them.

  15. The ethics of everyday practice in primary medical care: responding to social health inequities

    Science.gov (United States)

    2010-01-01

    Background Social and structural inequities shape health and illness; they are an everyday presence within the doctor-patient encounter yet, there is limited ethical guidance on what individual physicians should do. This paper draws on a study that explored how doctors and their professional associations ought to respond to the issue of social health inequities. Results Some see doctors as bound by a notion of care that is blind to a patient's social position, while others respond to this issue through invoking notions of justice and human rights where access to care is a prime focus. Both care and justice orientations however conceal important tensions linked to the presence of bioethical principles underpinning these. Other normative ethical theories like deontology, virtue ethics and utilitarianism do not provide adequate guidance on the problem of social health inequities either. Conclusion This paper explores if Bauman's notion of "forms of togetherness" provides the basis of a relational ethical theory that can help to develop a response to social health inequities of relevance to individual physicians. This theory goes beyond silence on the influence of social position of health and avoids amoral regulatory approaches to monitoring equity of care provision. PMID:20438627

  16. The ethics of everyday practice in primary medical care: responding to social health inequities.

    Science.gov (United States)

    Furler, John S; Palmer, Victoria J

    2010-05-03

    Social and structural inequities shape health and illness; they are an everyday presence within the doctor-patient encounter yet, there is limited ethical guidance on what individual physicians should do. This paper draws on a study that explored how doctors and their professional associations ought to respond to the issue of social health inequities. Some see doctors as bound by a notion of care that is blind to a patient's social position, while others respond to this issue through invoking notions of justice and human rights where access to care is a prime focus. Both care and justice orientations however conceal important tensions linked to the presence of bioethical principles underpinning these. Other normative ethical theories like deontology, virtue ethics and utilitarianism do not provide adequate guidance on the problem of social health inequities either. This paper explores if Bauman's notion of "forms of togetherness" provides the basis of a relational ethical theory that can help to develop a response to social health inequities of relevance to individual physicians. This theory goes beyond silence on the influence of social position of health and avoids amoral regulatory approaches to monitoring equity of care provision.

  17. Income inequality, drug-related arrests, and the health of people who inject drugs: Reflections on seventeen years of research.

    Science.gov (United States)

    Friedman, Samuel R; Tempalski, Barbara; Brady, Joanne E; West, Brooke S; Pouget, Enrique R; Williams, Leslie D; Des Jarlais, Don C; Cooper, Hannah L F

    2016-06-01

    This paper reviews and then discusses selected findings from a seventeen year study about the population prevalence of people who inject drugs (PWID) and of HIV prevalence and mortality among PWID in 96 large US metropolitan areas. Unlike most research, this study was conducted with the metropolitan area as the level of analysis. It found that metropolitan area measures of income inequality and of structural racism predicted all of these outcomes, and that rates of arrest for heroin and/or cocaine predicted HIV prevalence and mortality but did not predict changes in PWID population prevalence. Income inequality and measures of structural racism were associated with hard drug arrests or other properties of policing. These findings, whose limitations and implications for further research are discussed, suggest that efforts to respond to HIV and to drug injection should include supra-individual efforts to reduce both income inequality and racism. At a time when major social movements in many countries are trying to reduce inequality, racism and oppression (including reforming drug laws), these macro-social issues in public health should be both addressable and a priority in both research and action. Copyright © 2016 Elsevier B.V. All rights reserved.

  18. The Influence of Regional Social Inequality and Labour Market Characteristics on Health

    Directory of Open Access Journals (Sweden)

    Christiane Gross

    2013-09-01

    Full Text Available The influence of contextual factors on individual health status has been demonstrated by a number of studies even when controlling for the individual socio-economic situation (and other relevant factors. The article examines whether and to what extent variables of the place of residence have an effect on individual health status. We do not only refer to income levels and inequality, but also to effects of the educational level and inequality and the regional unemployment rate. As data basis for the individual level, we use the 2006 wave of the German Socio-Economic Panel Study (SOEP and add regional information on the aggregate level based on the regional units (Raumordnungsregionen of the Microcensus of 2005. These data will be analysed using multilevel models. The results reveal that regional educational inequality intensifies the individual educational effect, whereby members of less-educated groups in educationally disparate regions exhibit particularly low health chances. In addition, a high regional unemployment rate intensifies the negative effect of individual unemployment on men’s health.

  19. Are socioeconomic disparities in health behavior mediated by differential media use? Test of the communication inequality theory.

    Science.gov (United States)

    Ishikawa, Yoshiki; Kondo, Naoki; Kawachi, Ichiro; Viswanath, Kasisomayajula

    2016-11-01

    Communication inequality has been offered as one potential mechanism through which social determinants influence multiple health behaviors. The purpose of this study was to examine the underlying mechanisms between communication inequality and health behaviors. Data from a nationally representative cross-sectional survey of 18,426 people aged 18 years and above in the United States were used for secondary analysis. Measures included socio-demographic characteristics, social participation (structural social capital), health media use (TV, print, and the Internet), and five health behaviors (physical activity, cigarette smoking, alcohol use, and intake of fruit and vegetable). Path analysis was performed to examine the linkages between social determinants, health media use, social participation, and social gradients in health behaviors. Path analysis revealed that socioeconomic gradients in health behaviors is mediated by: 1) inequalities in health media use; 2) disparities in social participation, which leads to differential media use; and 3) disparities in social participation that are not mediated by media use. Consistent with the theory of communication inequality, socioeconomic disparities in media use partially mediate disparities in multiple health behaviors. To address health inequalities, it is important to utilize health media to target populations with low socioeconomic statuses. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  20. [Self-rated health in adults: influence of poverty and income inequality in the area of residence].

    Science.gov (United States)

    Caicedo, Beatriz; Berbesi Fernández, Dedsy

    2015-01-01

    To evaluate the influence of income inequality and poverty in the towns of Bogotá, Colombia, on poor self-rated health among their residents. The study was based on a multipurpose survey applied in Bogotá-Colombia. A hierarchical data structure (individuals=level1, locations=level 2) was used to define a logit-type multilevel logistic model. The dependent variable was self-perceived poor health, and local variables were income inequality and poverty. All analyses were controlled for socio-demographic variables and stratified by sex. The prevalence of self-reported fair or poor health in the study population was 23.2%. Women showed a greater risk of ill health, as well as men and women with a low educational level, older persons, those without work in the last week and persons affiliated to the subsidized health system. The highest levels of poverty in the city increased the risk of poor health. Cross-level interactions showed that young women and men with a low education level were the most affected by income inequality in the locality. In Bogotá, there are geographical differences in the perception of health. Higher rates of poverty and income inequality were associated with an increased risk of self-perceived poor health. Notable findings were the large health inequalities at the individual and local levels. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

  1. Lay perceptions of health and environmental inequalities and their associations to mental health

    Directory of Open Access Journals (Sweden)

    Maria Luisa Lima

    2015-11-01

    Full Text Available Abstract Health inequalities are very well documented in epidemiological research: rich people live longer and have fewer diseases than poor people. Recently, a growing amount of evidence from environmental sciences confirms that poor people are also more exposed to pollution and other environmental threats. However, research in the social sciences has shown a broad lack of awareness about health inequalities. In this paper, based on data collected in Portugal, we will analyze the consciousness of both health and environmental injustices and test one hypothesis for this social blindness. The results show, even more clearly than before, that public opinion tends to see rich and poor people as being equally susceptible to health and environmental events. Furthermore, those who have this equal view of the world present lower levels of depression and anxiety. Following cognitive adaptation theory, this “belief in an equal world” can be interpreted as a protective positive illusion about social justice, particularly relevant in one of the most unequal countries in Europe.

  2. What can alienation theory contribute to an understanding of social inequalities in health?

    Science.gov (United States)

    Crinson, Iain; Yuill, Chris

    2008-01-01

    This article examines both the contribution and the limitations of research that has sought to develop a causal understanding of the psychosocial dimension of inequalities in health. The article seeks to revive interest in Marx's theory of alienation in developing the case for an alternative materialist conceptualization that is able to postulate the pathways from alienation as a psychosocial generative structure to social inequalities in health outcomes within late modern societies.

  3. Inequity and health. Is malnutrition really caused by poor nutrition?

    Science.gov (United States)

    Bharmal, F Y

    2000-08-01

    To look at inequities leading to malnutrition and from the wider picture to find root causes and deal with them in order to alleviate malnutrition. Literature review. The health of the population is adversely affected by the inequities in the country. Women and children being most vulnerable are worst affected. The prevalence of Protein Energy Malnutrition (P.E.M.) in children under five years of age is 51 percent. Such a magnitude of malnutrition in a country, where availability of food per capita is more than adequate, points towards the fact that the inequities within the country are at the root of the problem. Poor income is not the only predictor of malnutrition, gender, urban-rural differences in access, utilization and quality of health care also influence health. In addition, there are some underlying factors such as illiteracy, unawareness of the mother about healthy behaviors, lack of decision-making power of women, along with deep-rooted cultural values of a patriarchal system. Malnutrition is caused by a multitude of factors, some of which are biological, others are environmental, cultural or social. Education of the invisible half of the population, who actually look after the children and the family, is an important strategy to alleviate this problem.

  4. Health Inequalities Among Korean Employees

    Directory of Open Access Journals (Sweden)

    Eunsuk Choi

    2017-12-01

    Full Text Available Background: Social status might be a determinant of occupational health inequalities. This study analyzed the effects of social status on both work environments and health outcomes. Methods: The study sample consisted of 27,598 wage employees aged 15 years and older from among the Korean Working Condition Survey participants in 2011. Work environments included atypical work, physical risks, ergonomic risks, work demands, work autonomy, social supports, and job rewards. Health outcomes comprised general health, health and safety at risk because of work, the World Health Organization-5 Well-being Index, work-related musculoskeletal disease, and work-related injury. Multivariable logistic-regression models were used to identify the associations between social status and work environments and health outcomes. Results: Employees in the demographically vulnerable group had lower occupational status compared with their counterparts. Low social status was largely related to adverse work environments. Especially, precarious employment and manual labor occupation were associated with both adverse work environments and poor health outcomes. Conclusion: Precarious and manual workers should take precedence in occupational health equity policies and interventions. Their cumulative vulnerability, which is connected to demographics, occupational status, adverse work environments, or poor health outcomes, can be improved through a multilevel approach such as labor market, organizations, and individual goals. Keywords: employee health, health equity, social status

  5. The impact of increasing income inequalities on educational inequalities in mortality - An analysis of six European countries.

    Science.gov (United States)

    Hoffmann, Rasmus; Hu, Yannan; de Gelder, Rianne; Menvielle, Gwenn; Bopp, Matthias; Mackenbach, Johan P

    2016-07-08

    Over the past decades, both health inequalities and income inequalities have been increasing in many European countries, but it is unknown whether and how these trends are related. We test the hypothesis that trends in health inequalities and trends in income inequalities are related, i.e. that countries with a stronger increase in income inequalities have also experienced a stronger increase in health inequalities. We collected trend data on all-cause and cause-specific mortality, as well as on the household income of people aged 35-79, for Belgium, Denmark, England & Wales, France, Slovenia, and Switzerland. We calculated absolute and relative differences in mortality and income between low- and high-educated people for several time points in the 1990s and 2000s. We used fixed-effects panel regression models to see if changes in income inequality predicted changes in mortality inequality. The general trend in income inequality between high- and low-educated people in the six countries is increasing, while the mortality differences between educational groups show diverse trends, with absolute differences mostly decreasing and relative differences increasing in some countries but not in others. We found no association between trends in income inequalities and trends in inequalities in all-cause mortality, and trends in mortality inequalities did not improve when adjusted for rising income inequalities. This result held for absolute as well as for relative inequalities. A cause-specific analysis revealed some association between income inequality and mortality inequality for deaths from external causes, and to some extent also from cardiovascular diseases, but without statistical significance. We find no support for the hypothesis that increasing income inequality explains increasing health inequalities. Possible explanations are that other factors are more important mediators of the effect of education on health, or more simply that income is not an important

  6. [Gender inequity in the access to health care in Chile].

    Science.gov (United States)

    Vega, Jeanette; Bedregal, Paula; Jadue, Liliana; Delgado, Iris

    2003-06-01

    In the last two decades, Chile has experienced advances in economical development and global health indicators. However, gender inequities persist in particular related to access to health services and financing of health insurance. To examine gender inequities in the access to health care in Chile. An analysis of data obtained from a serial national survey applied to assess social policies (CASEN) carried out by the Ministry of Planning. During the survey 45,379 and 48,107 dwellings were interviewed in 1994 and in 1998, respectively. Women use health services 1.5 times more often, their salaries are 30% lower in all socioeconomic strata. Besides, in the private health sector, women pay higher insurance premiums than men. Men of less than two years of age have 2.5 times more preventive consultations than girls. This difference, although of lesser magnitude, is also observed in people over 60 years. Women of high income quintiles and users of private health insurance have a better access to preventive consultations but not to specialized care. An improvement in equitable access of women to health care and financing is recommended. Also, monitoring systems to survey these indicators for women should improve their efficiency.

  7. Health inequalities among urban children in India: a comparative assessment of Empowered Action Group (EAG) and South Indian states.

    Science.gov (United States)

    Arokiasamy, P; Jain, Kshipra; Goli, Srinivas; Pradhan, Jalandhar

    2013-03-01

    As India rapidly urbanizes, within urban areas socioeconomic disparities are rising and health inequality among urban children is an emerging challenge. This paper assesses the relative contribution of socioeconomic factors to child health inequalities between the less developed Empowered Action Group (EAG) states and more developed South Indian states in urban India using data from the 2005-06 National Family Health Survey. Focusing on urban health from varying regional and developmental contexts, socioeconomic inequalities in child health are examined first using Concentration Indices (CIs) and then the contributions of socioeconomic factors to the CIs of health variables are derived. The results reveal, in order of importance, pronounced contributions of household economic status, parent's illiteracy and caste to urban child health inequalities in the South Indian states. In contrast, parent's illiteracy, poor economic status, being Muslim and child birth order 3 or more are major contributors to health inequalities among urban children in the EAG states. The results suggest the need to adopt different health policy interventions in accordance with the pattern of varying contributions of socioeconomic factors to child health inequalities between the more developed South Indian states and less developed EAG states.

  8. Impact of income and income inequality on infant health outcomes in the United States.

    Science.gov (United States)

    Olson, Maren E; Diekema, Douglas; Elliott, Barbara A; Renier, Colleen M

    2010-12-01

    The goal was to investigate the relationships of income and income inequality with neonatal and infant health outcomes in the United States. The 2000-2004 state data were extracted from the Kids Count Data Center. Health indicators included proportion of preterm births (PTBs), proportion of infants with low birth weight (LBW), proportion of infants with very low birth weight (VLBW), and infant mortality rate (IMR). Income was evaluated on the basis of median family income and proportion of federal poverty levels; income inequality was measured by using the Gini coefficient. Pearson correlations evaluated associations between the proportion of children living in poverty and the health indicators. Linear regression evaluated predictive relationships between median household income, proportion of children living in poverty, and income inequality for the 4 health indicators. Median family income was negatively correlated with all birth outcomes (PTB, r = -0.481; LBW, r = -0.295; VLBW, r = -0.133; IMR, r = -0.432), and the Gini coefficient was positively correlated (PTB, r = 0.339; LBW, r = 0.398; VLBW, r = 0.460; IMR, r = 0.114). The Gini coefficient explained a significant proportion of the variance in rate for each outcome in linear regression models with median family income. Among children living in poverty, the role of income decreased as the degree of poverty decreased, whereas the role of income inequality increased. Both income and income inequality affect infant health outcomes in the United States. The health of the poorest infants was affected more by absolute wealth than relative wealth.

  9. Social change or business as usual at city hall? Examining an urban municipal government's response to neighbourhood-level health inequities.

    Science.gov (United States)

    Cahuas, Madelaine C; Wakefield, Sarah; Peng, Yun

    2015-05-01

    There is a renewed interest in the potential of municipal governments working collaboratively with local communities to address health inequities. A growing body of literature has also highlighted the benefits and limitations of participatory approaches in neighbourhood interventions initiated by municipal governments. However, few studies have investigated how neighbourhood interventions tackling health inequities work in real-time and in context, from the perspectives of Community Developers (CDs) who promote community participation. This study uses a process evaluation approach and semi-structured interviews with CDs to explore the challenges they face in implementing a community development, participatory process in the City of Hamilton's strategy to reduce health inequities - Neighbourhood Action. Findings demonstrate that municipal government can facilitate and suppress community participation in complex ways. CDs serve as significant but conflicted intermediaries as they negotiate and navigate power differentials between city and community actors, while also facing structural challenges. We conclude that community participation is important to bottom-up, resident-led social change, and that CDs are central to this work. Copyright © 2014 Elsevier Ltd. All rights reserved.

  10. Do differences in the administrative structure of populations confound comparisons of geographic health inequalities?

    LENUS (Irish Health Repository)

    Jackson, Andrew L

    2010-08-18

    Abstract Background Geographical health inequalities are naturally described by the variation in health outcomes between areas (e.g. mortality rates). However, comparisons made between countries are hampered by our lack of understanding of the effect of the size of administrative units, and in particular the modifiable areal unit problem. Our objective was to assess how differences in geographic and administrative units used for disseminating data affect the description of health inequalities. Methods Retrospective study of standard populations and deaths aggregated by administrative regions within 20 European countries, 1990-1991. Estimated populations and deaths in males aged 0-64 were in 5 year age bands. Poisson multilevel modelling was conducted of deaths as standardised mortality ratios. The variation between regions within countries was tested for relationships with the mean region population size and the unequal distribution of populations within each country measured using Gini coefficients. Results There is evidence that countries whose regions vary more in population size show greater variation and hence greater apparent inequalities in mortality counts. The Gini coefficient, measuring inequalities in population size, ranged from 0.1 to 0.5 between countries; an increase of 0.1 was accompanied by a 12-14% increase in the standard deviation of the mortality rates between regions within a country. Conclusions Apparently differing health inequalities between two countries may be due to differences in geographical structure per se, rather than having any underlying epidemiological cause. Inequalities may be inherently greater in countries whose regions are more unequally populated.

  11. Trends in socioeconomic inequalities in oral health among 15-year-old Danish adolescents during 1995-2013

    DEFF Research Database (Denmark)

    Sengupta, Kaushik; Christensen, Lisa Bøge; Mortensen, Laust Hvas

    2017-01-01

    BACKGROUND: Scandinavian welfare states, despite having better population oral health than less egalitarian societies, are characterized by ubiquitous social gradients and large relative socioeconomic inequalities in oral health. However, trends in these inequalities among Scandinavian children a...

  12. Health inequality and social capital: From state to community

    Directory of Open Access Journals (Sweden)

    Vijay Kumar Yadavendu

    2015-01-01

    Full Text Available In a world of neoliberal imperialist globalisation, there has been a profound growth of social inequalities, between and within nations. This has had a most negative impact on the health and quality of life of large sections of the populations in the developed and underdeveloped worlds. The contention of this paper is that the social production of health inequality, as shaped by neoliberalism, has to be understood in this historical context of the emergence of a new capitalist order which is primarily based on unfettered market with the motives of greed and acquitiveness. This divides societies into very rich and very poor. What a truism of coexistence of great wealth and great poverty/inequality. This offends the notion of a just and equal society. Even Richard Wilkinson’s theory of social cohesion, modelled in the Emile Durkheimian tradition of moral individualism (a system in which the individual willingly performs in accordance with laws and customs of the society, distances itself from a true population perspective. In fact, it creates a smokescreen through its claim as an alternative paradigm, and thereby pushes the task of public health further back. In the Wilkinson model, the real shift has been only that of ‘community blaming’ in place of individual ‘victim blaming’. The attainment of better health status becomes the responsibility of the community as a whole through such measures as better social cohesion and solidarity, and better health is the responsibility of the individual through measures such as behaviour modification, self-help and self-control. In both the cases, the Wilkinson model implicitly suggests that the state has no role to play and there is no space for macro structural change.

  13. Socioeconomic inequality in self-reported oral health status: the experience of Thailand after implementation of the universal coverage policy.

    Science.gov (United States)

    Somkotra, Tewarit

    2011-06-01

    This study aimed to quantify the extent to which socioeconomic-related inequality in self-reported oral health status among Thais is present after the country implemented the Universal Coverage policy and to decompose the determinants and their associations with inequality in self-reported oral health status in particular with the worse condition. The study employed a concentration index to measure socioeconomic-related inequality in self-reported oral health status, and the decomposition method to identify the determinants and their associations with inequality in oral health-related measures. Data from 32,748 Thai adults aged 15-75 years from the nationally representative Health &Welfare Survey and Socio-Economic Survey 2006 were used in analyses. Reports of worse oral health status of the lower socioeconomic-status group were more common than their higher socioeconomic-status counterparts. The concentration index (equaling -0.208) corroborates the finding of pro-poor inequality in self-reported worse oral health. Decomposition analysis demonstrated certain demographic-, socioeconomic-, and geographic characteristics are particularly associated with poor-rich differences in self-reported oral health status among Thai adults. This study demonstrated socioeconomic-related inequality in oral health is discernable along the entire spectrum of socioeconomic status. Inequality in perceived oral health status among Thais is present even while the country has virtually achieved universality of health coverage. The study also indicates population subgroups, particularly the poor, should receive consideration for improving oral health status as revealed by underlying determinants.

  14. Social determinants of health inequalities: towards a theoretical perspective using systems science.

    Science.gov (United States)

    Jayasinghe, Saroj

    2015-08-25

    A systems approach offers a novel conceptualization to natural and social systems. In recent years, this has led to perceiving population health outcomes as an emergent property of a dynamic and open, complex adaptive system. The current paper explores these themes further and applies the principles of systems approach and complexity science (i.e. systems science) to conceptualize social determinants of health inequalities. The conceptualization can be done in two steps: viewing health inequalities from a systems approach and extending it to include complexity science. Systems approach views health inequalities as patterns within the larger rubric of other facets of the human condition, such as educational outcomes and economic development. This anlysis requires more sophisticated models such as systems dynamic models. An extension of the approach is to view systems as complex adaptive systems, i.e. systems that are 'open' and adapt to the environment. They consist of dynamic adapting subsystems that exhibit non-linear interactions, while being 'open' to a similarly dynamic environment of interconnected systems. They exhibit emergent properties that cannot be estimated with precision by using the known interactions among its components (such as economic development, political freedom, health system, culture etc.). Different combinations of the same bundle of factors or determinants give rise to similar patterns or outcomes (i.e. property of convergence), and minor variations in the initial condition could give rise to widely divergent outcomes. Novel approaches using computer simulation models (e.g. agent-based models) would shed light on possible mechanisms as to how factors or determinants interact and lead to emergent patterns of health inequalities of populations.

  15. Socioeconomic inequalities in the use of outpatient services in Brazil according to health care need: evidence from the World Health Survey

    Directory of Open Access Journals (Sweden)

    Souza-Júnior Paulo RB

    2010-07-01

    Full Text Available Abstract Background The Brazilian health system is founded on the principle of equity, meaning provision of equal care for equal needs. However, little is known about the impact of health policies in narrowing socioeconomic health inequalities. Using data from the Brazilian World Health Survey, this paper addresses socioeconomic inequalities in the use of outpatient services according to intensity of need. Methods A three-stage cluster sampling was used to select 5000 adults (18 years and over. The non-response rate was 24.7% and calibration of the natural expansion factors was necessary to obtain the demographic structure of the Brazilian population. Utilization was established by use of outpatient services in the 12 months prior to the interview. Socioeconomic inequalities were analyzed by logistic regression models using years of schooling and private health insurance as independent variables, and controlling by age and sex. Effects of the socioeconomic variables on health services utilization were further analyzed according to self-rated health (good, fair and poor, considered as an indicator of intensity of health care need. Results Among the 5000 respondents, 63.4% used an outpatient service in the year preceding the survey. The association of health services utilization and self-rated health was significant (p Conclusions The analysis showed that the social gradient in outpatient services utilization decreases as the need is more intense. Among individuals with good self-rated health, possible explanations for the inequality are the lower use of preventive services and unequal supply of health services among the socially disadvantaged groups, or excessive use of health services by the wealthy. On the other hand, our results indicate an adequate performance of the Brazilian health system in narrowing socioeconomic inequalities in health in the most serious situations of need.

  16. The impact of cash transfers on social determinants of health and health inequalities in sub-Saharan Africa: a systematic review.

    Science.gov (United States)

    Owusu-Addo, Ebenezer; Renzaho, Andre M N; Smith, Ben J

    2018-06-01

    optimise CTs to reduce health inequalities.

  17. The impact of cash transfers on social determinants of health and health inequalities in sub-Saharan Africa: a systematic review

    Science.gov (United States)

    Renzaho, Andre M N; Smith, Ben J

    2018-01-01

    can be used to optimise CTs to reduce health inequalities. PMID:29762708

  18. Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada

    Directory of Open Access Journals (Sweden)

    Veenstra Gerry

    2011-01-01

    Full Text Available Abstract Background Intersectionality theory, a way of understanding social inequalities by race, gender, class, and sexuality that emphasizes their mutually constitutive natures, possesses potential to uncover and explicate previously unknown health inequalities. In this paper, the intersectionality principles of "directionality," "simultaneity," "multiplicativity," and "multiple jeopardy" are applied to inequalities in self-rated health by race, gender, class, and sexual orientation in a Canadian sample. Methods The Canadian Community Health Survey 2.1 (N = 90,310 provided nationally representative data that enabled binary logistic regression modeling on fair/poor self-rated health in two analytical stages. The additive stage involved regressing self-rated health on race, gender, class, and sexual orientation singly and then as a set. The intersectional stage involved consideration of two-way and three-way interaction terms between the inequality variables added to the full additive model created in the previous stage. Results From an additive perspective, poor self-rated health outcomes were reported by respondents claiming Aboriginal, Asian, or South Asian affiliations, lower class respondents, and bisexual respondents. However, each axis of inequality interacted significantly with at least one other: multiple jeopardy pertained to poor homosexuals and to South Asian women who were at unexpectedly high risks of fair/poor self-rated health and mitigating effects were experienced by poor women and by poor Asian Canadians who were less likely than expected to report fair/poor health. Conclusions Although a variety of intersections between race, gender, class, and sexual orientation were associated with especially high risks of fair/poor self-rated health, they were not all consistent with the predictions of intersectionality theory. I conclude that an intersectionality theory well suited for explicating health inequalities in Canada should be

  19. Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada

    Science.gov (United States)

    2011-01-01

    Background Intersectionality theory, a way of understanding social inequalities by race, gender, class, and sexuality that emphasizes their mutually constitutive natures, possesses potential to uncover and explicate previously unknown health inequalities. In this paper, the intersectionality principles of "directionality," "simultaneity," "multiplicativity," and "multiple jeopardy" are applied to inequalities in self-rated health by race, gender, class, and sexual orientation in a Canadian sample. Methods The Canadian Community Health Survey 2.1 (N = 90,310) provided nationally representative data that enabled binary logistic regression modeling on fair/poor self-rated health in two analytical stages. The additive stage involved regressing self-rated health on race, gender, class, and sexual orientation singly and then as a set. The intersectional stage involved consideration of two-way and three-way interaction terms between the inequality variables added to the full additive model created in the previous stage. Results From an additive perspective, poor self-rated health outcomes were reported by respondents claiming Aboriginal, Asian, or South Asian affiliations, lower class respondents, and bisexual respondents. However, each axis of inequality interacted significantly with at least one other: multiple jeopardy pertained to poor homosexuals and to South Asian women who were at unexpectedly high risks of fair/poor self-rated health and mitigating effects were experienced by poor women and by poor Asian Canadians who were less likely than expected to report fair/poor health. Conclusions Although a variety of intersections between race, gender, class, and sexual orientation were associated with especially high risks of fair/poor self-rated health, they were not all consistent with the predictions of intersectionality theory. I conclude that an intersectionality theory well suited for explicating health inequalities in Canada should be capable of accommodating axis

  20. Maternal health care utilization in Viet Nam: increasing ethnic inequity.

    Science.gov (United States)

    Målqvist, Mats; Lincetto, Ornella; Du, Nguyen Huy; Burgess, Craig; Hoa, Dinh Thi Phuong

    2013-04-01

    To investigate changes that took place between 2006 and 2010 in the inequity gap for antenatal care attendance and delivery at health facilities among women in Viet Nam. Demographic, socioeconomic and obstetric data for women aged 15-49 years were extracted from Viet Nam's Multiple Indicator Cluster Survey for 2006 (MICS3) and 2010-2011 (MICS4). Multivariate logistic regression was performed to determine if antenatal care attendance and place of delivery were significantly associated with maternal education, maternal ethnicity (Kinh/Hoa versus other), household wealth and place of residence (urban versus rural). These independent variables correspond to the analytical framework of the Commission on Social Determinants of Health. Large discrepancies between urban and rural populations were found in both MICS3 and MICS4. Although antenatal care attendance and health facility delivery rates improved substantially between surveys (from 86.3 to 92.1% and from 76.2 to 89.7%, respectively), inequities increased, especially along ethnic lines. The risk of not giving birth in a health facility increased significantly among ethnic minority women living in rural areas. In 2006 this risk was nearly five times higher than among women of Kinh/Hoa (majority) ethnicity (odds ratio, OR: 4.67; 95% confidence interval, CI: 2.94-7.43); in 2010-2011 it had become nearly 20 times higher (OR: 18.8; 95% CI: 8.96-39.2). Inequity in maternal health care utilization has increased progressively in Viet Nam, primarily along ethnic lines, and vulnerable groups in the country are at risk of being left behind. Health-care decision-makers should target these groups through affirmative action and culturally sensitive interventions.

  1. Public health, healthcare, health and inequality in health in the Nordic countries

    DEFF Research Database (Denmark)

    Christiansen, Terkel; Lauridsen, Jørgen Trankjær; Kifmann, Mathias

    2018-01-01

    -economic equality in health. Each of the five countries has established extensive public health programmes, although with somewhat different measures to increase health of the populations. We compare these countries to the UK and Germany by using data from the European Social Survey for 2002 and 2012 in addition......All five Nordic countries emphasize equal and easy access to healthcare, assuming that increased access to healthcare leads to increased health. It is the purpose of the present study to explore to which extent the populations of these countries have reached good health and a high degree of socio...... to OECD statistics for the same years. Health is measured by self-assessed health in five categories, which is transformed to a cardinal scale using Swedish time trade-off (TTO) weights. As socio-economic measures we use household income and length of education. Socio-economic inequality in health...

  2. Regional health inequalities: changes observed in Brazil from 2000-2016.

    Science.gov (United States)

    Albuquerque, Mariana Vercesi de; Viana, Ana Luiza d'Ávila; Lima, Luciana Dias de; Ferreira, Maria Paula; Fusaro, Edgard Rodrigues; Iozzi, Fabíola Lana

    2017-04-01

    Advances in reducing poverty and inequalities in the 2000s had a paradoxical effect in Brazil. This article examines how socioeconomic transformations, and the complexity of health services, are expressed in the regions established for planning purposes and the inter-governmental management of the Brazilian Unified Health System. An effort was made to identify and explain differences in the compositions of the 438 existing health regions and their spatial distribution by comparing situations observed in 2016 with those in 2000. Factor analysis and grouping techniques were used to construct a typology in the two years of the series, which was based on a diverse set of secondary data sources. It was found that there was an evolution in terms of income levels and service provision within the health regions, with a significant improvement in the socioeconomic conditions of the population. These results suggest that there was a positive impact from the combination of strategies related to social, economic and regional policies for the promotion of development, which generated more widespread well-being within the affected areas. However, limitations remain regarding the policies implemented for the universalization of the health system.

  3. Pathways of Economic Inequalities in Maternal and Child Health in Urban India: A Decomposition Analysis

    OpenAIRE

    Goli, Srinivas; Doshi, Riddhi; Perianayagam, Arokiasamy

    2013-01-01

    BACKGROUND/OBJECTIVE: Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequa...

  4. Peripherality, income inequality, and life expectancy: revisiting the income inequality hypothesis.

    Science.gov (United States)

    Moore, Spencer

    2006-06-01

    Recent criticisms of the income inequality and health hypothesis have stressed the lack of consistent significant evidence for the stronger effects of income inequality among rich countries. Despite such criticisms, little attention has been devoted to the income-based criteria underlying the stratification of countries into rich/poor groups and whether trade patterns and world-system role provide an alternative means of stratifying groups. To compare income-based and trade-based criteria, 107 countries were grouped into four typologies: (I) high/low income, (II) OECD membership/non-membership, (III) core/non-core, and (IV) non-periphery/periphery. Each typology was tested separately for significant differences in the effects of income inequality between groups. Separate group comparison tests and regression analyses were conducted for each typology using Rodgers (1979) specification of income, income inequality, and life expectancy. Interaction terms were introduced into Rodgers specification to test whether group classification moderated the effects of income inequality on health. Results show that the effects of income inequality are stronger in the periphery than non-periphery (IV) (-0.76 vs -0.23; P income inequality and population health have assumed (i) income differences between countries best capture global stratification and (ii) the negative effects of income inequality are stronger in high-income countries. However, present findings emphasize (i) the importance of measuring global stratification according to trading patterns and (ii) the strong, negative effects of income inequality on life expectancy among peripheral populations.

  5. Socioeconomic inequality in disability among adults: a multicountry study using the World Health Survey.

    Science.gov (United States)

    Hosseinpoor, Ahmad R; Stewart Williams, Jennifer A; Gautam, Jeny; Posarac, Aleksandra; Officer, Alana; Verdes, Emese; Kostanjsek, Nenad; Chatterji, Somnath

    2013-07-01

    We compared national prevalence and wealth-related inequality in disability across a large number of countries from all income groups. Data on 218,737 respondents participating in the World Health Survey 2002-2004 were analyzed. A composite disability score (0-100) identified respondents who experienced significant disability in physical, mental, and social functioning irrespective of their underlying health condition. Disabled persons had disability composite scores above 40. Wealth was evaluated using an index of economic status in households based on ownership of selected assets. Socioeconomic inequalities were measured using the slope index of inequality and the relative index of inequality. Median age-standardized disability prevalence was higher in the low- and lower middle-income countries. In all the study countries, disability was more prevalent in the poorest than in the richest wealth quintiles. Pro-rich inequality was statistically significant in 43 of 49 countries, with disability prevalence higher among populations with lower wealth. Median relative inequality was higher in the high- and upper middle-income countries. Integrating equity components into the monitoring of disability trends would help ensure that interventions reach and benefit populations with greatest need.

  6. Socioeconomic Inequality in Malnutrition in Under-5 Children in Iran: Evidence From the Multiple Indicator Demographic and Health Survey, 2010.

    Science.gov (United States)

    Almasian Kia, Abdollah; Rezapour, Aziz; Khosravi, Ardeshir; Afzali Abarghouei, Vajiheh

    2017-01-01

    The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality. Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural) and the sex of children. Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children's sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant. This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.

  7. Socioeconomic Inequality in Malnutrition in Under-5 Children in Iran: Evidence From the Multiple Indicator Demographic and Health Survey, 2010

    Directory of Open Access Journals (Sweden)

    Abdollah Almasian Kia

    2017-05-01

    Full Text Available Objectives The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality. Methods Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural and the sex of children. Results Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children’s sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant. Conclusions This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.

  8. The ethics of everyday practice in primary medical care: responding to social health inequities

    Directory of Open Access Journals (Sweden)

    Palmer Victoria J

    2010-05-01

    Full Text Available Abstract Background Social and structural inequities shape health and illness; they are an everyday presence within the doctor-patient encounter yet, there is limited ethical guidance on what individual physicians should do. This paper draws on a study that explored how doctors and their professional associations ought to respond to the issue of social health inequities. Results Some see doctors as bound by a notion of care that is blind to a patient's social position, while others respond to this issue through invoking notions of justice and human rights where access to care is a prime focus. Both care and justice orientations however conceal important tensions linked to the presence of bioethical principles underpinning these. Other normative ethical theories like deontology, virtue ethics and utilitarianism do not provide adequate guidance on the problem of social health inequities either. Conclusion This paper explores if Bauman's notion of "forms of togetherness" provides the basis of a relational ethical theory that can help to develop a response to social health inequities of relevance to individual physicians. This theory goes beyond silence on the influence of social position of health and avoids amoral regulatory approaches to monitoring equity of care provision.

  9. Structural racism and health inequities in the USA: evidence and interventions.

    Science.gov (United States)

    Bailey, Zinzi D; Krieger, Nancy; Agénor, Madina; Graves, Jasmine; Linos, Natalia; Bassett, Mary T

    2017-04-08

    Despite growing interest in understanding how social factors drive poor health outcomes, many academics, policy makers, scientists, elected officials, journalists, and others responsible for defining and responding to the public discourse remain reluctant to identify racism as a root cause of racial health inequities. In this conceptual report, the third in a Series on equity and equality in health in the USA, we use a contemporary and historical perspective to discuss research and interventions that grapple with the implications of what is known as structural racism on population health and health inequities. Structural racism refers to the totality of ways in which societies foster racial discrimination through mutually reinforcing systems of housing, education, employment, earnings, benefits, credit, media, health care, and criminal justice. These patterns and practices in turn reinforce discriminatory beliefs, values, and distribution of resources. We argue that a focus on structural racism offers a concrete, feasible, and promising approach towards advancing health equity and improving population health. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Global Inequality

    DEFF Research Database (Denmark)

    Niño-Zarazúa, Miguel; Roope, Laurence; Tarp, Finn

    2017-01-01

    This paper measures trends in global interpersonal inequality during 1975–2010 using data from the most recent version of the World Income Inequality Database (WIID). The picture that emerges using ‘absolute,’ and even ‘centrist’ measures of inequality, is very different from the results obtained...... by centrist measures such as the Krtscha, could return to 1975 levels, at today's domestic and global per capita income levels, but this would require quite dramatic structural reforms to reduce domestic inequality levels in most countries....... using standard ‘relative’ inequality measures such as the Gini coefficient or Coefficient of Variation. Relative global inequality has declined substantially over the decades. In contrast, ‘absolute’ inequality, as captured by the Standard Deviation and Absolute Gini, has increased considerably...

  11. Inequities in utilization of reproductive and maternal health services in Ethiopia.

    Science.gov (United States)

    Bobo, Firew Tekle; Yesuf, Elias Ali; Woldie, Mirkuzie

    2017-06-19

    Disparities in health services utilization within and between regional states of countries with diverse socio-cultural and economic conditions such as Ethiopia is a frequent encounter. Understanding and taking measures to address unnecessary and avoidable differences in the use of reproductive and maternal health services is a key concern in Ethiopia. The aim of the study was to examine degree of equity in reproductive and maternal health services utilization in Ethiopia. Data from Ethiopia demographic health survey 2014 was analyzed. We assessed inequities in utilization of modern contraceptive methods, antenatal care, facility based delivery and postnatal checkup. Four standard equity measurement methods were used; equity gaps, rate-ratios, concertation curve and concentration index. Inequities in service utilization were exhibited favoring women in developed regions, urban residents, most educated and the wealthy. Antenatal care by skilled provider was three times higher among women with post-secondary education than mothers with no education. Women in the highest wealth quantile had about 12 times higher skilled birth attendance than those in lowest wealth quantile. The rate of postnatal care use among urban resident was about 6 times that of women in rural area. Use of modern contraceptive methods was more equitably utilized service while, birth at health facility was less equitable across all economic levels, favoring the wealthy. Considerable inequity between and within regions of Ethiopia in the use of maternal health services was demonstrated. Strategically targeting social determinants of health with special emphasis to women education and economic empowerment will substantially contribute for altering the current situation favorably.

  12. Changes between pre-crisis and crisis period in socioeconomic inequalities in health and stimulant use in Netherlands.

    Science.gov (United States)

    Bruggink, Jan-Willem; de Goeij, Moniek C M; Otten, Ferdy; Kunst, Anton E

    2016-10-01

    International research suggests an impact of economic crises on population health, with different effects among different socioeconomic groups. Since the end of 2008 the Netherlands experienced a period of economic crisis. Our study explores how inequalities in perceived general and mental health, and alcohol and tobacco use changed after the recession started. We used data from the Dutch Health Interview Surveys: 2006-2008 (pre-crisis period) and 2009-2013 (crisis period). Respondents aged 25-64 were divided into socioeconomic groups based on labour status, income level and income change. Inequalities in health and stimulant use among these socioeconomic groups were described by period and changes between the pre-crisis and crisis period were investigated using logistic regression models. Most inequalities did not change, with some exceptions. For perceived general health, inequalities between employed persons and persons not in the labour force were larger in the crisis period (unfavourable trends for those not in the labour force). For smoking, inequalities between unemployed and employed persons were larger in the crisis period (decreasing smoking rates only for those employed), as did inequalities between persons with low and high income levels (decreasing smoking rates for those with higher income levels). Excessive drinking decreased among employed persons and persons with a decrease in income, while it remained stable among persons not in the labour force and among persons with an increase in income. The widening of some socioeconomic inequalities in health and stimulant use might suggest an enhanced vulnerability of lower socioeconomic groups to the post-2008 crisis. © The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  13. Addressing Global Health, Development, and Social Inequalities through Research and Policy Analyses: the International Journal of MCH and AIDS

    Directory of Open Access Journals (Sweden)

    Romuladus E. Azuine, DrPH, RN

    2012-11-01

    Full Text Available One year after the birth of the International Journal of MCH and AIDS (IJMA, we continue to share the passion to document, and shine the light on the myriads of global health issues that debilitate developing countries.Although the focus of IJMA is on the social determinants of health and disease as well as on the disparities in the burden of communicable and non-communicable diseases affecting infants, children, women, adults, and families in developing countries, we would like to encourage our fellow researchers and policy makers in both the developing and developed countries to consider submitting work that examines cross-national variations in heath and social inequalities.Such a global focus allows us to identify and understand social, structural, developmental, and health policy determinants underlying health inequalities between nations.Global assessment of health and socioeconomic patterns reaffirms the role of broader societal-level factors such as human development, gender inequality, gross national product, income inequality, and healthcare infrastructure as the fundamental determinants of health inequalities between nations.This is also confirmed by our analysis of the WHO data that shows a strong negative association between levels of human development and infant and maternal mortality rates.Focusing on socioeconomic, demographic, and geographical inequalities within a developing country, on the other hand, should give us a sense of how big the problem of health inequity is within its own borders.Such an assessment, then, could lead to development of policy solutions to tackle health inequalities that are unique to that country.

  14. Social inequalities in self-rated health: A comparative cross-national study among 32,560 Nordic adolescents.

    Science.gov (United States)

    Torsheim, Torbjørn; Nygren, Jens M; Rasmussen, Mette; Arnarsson, Arsæll M; Bendtsen, Pernille; Schnohr, Christina W; Nielsen, Line; Nyholm, Maria

    2018-02-01

    We aimed to estimate the magnitude of socioeconomic inequality in self-rated health among Nordic adolescents (aged 11, 13 and 15 years) using the Family Affluence Scale (a composite measure of material assets) and perceived family wealth as indicators of socioeconomic status. Data were collected from the Health Behaviour in School-aged Children (HBSC) survey in 2013-2014. A sample of 32,560 adolescents from Denmark, Norway, Finland, Iceland, Greenland and Sweden was included in the study. Age-adjusted regression analyses were used to estimate associations between fair or poor self-rated health and the ridit scores for family affluence and perceived wealth. The pooled relative index of inequality of 2.10 indicates that the risk of fair or poor health was about twice as high for young people with the lowest family affluence relative to those with the highest family affluence. The relative index of inequality for observed family affluence was highest in Denmark and lowest in Norway. For perceived family wealth, the pooled relative index of inequality of 3.99 indicates that the risk of fair or poor health was about four times as high for young people with the lowest perceived family wealth relative to those with the highest perceived family wealth. The relative index of inequality for perceived family wealth was highest in Iceland and lowest in Greenland. Social inequality in self-rated health among adolescents was found to be robust across subjective and objective indicators of family affluence in the Nordic welfare states.

  15. Inequalities in the spiritual health of young Canadians: a national, cross-sectional study.

    Science.gov (United States)

    Michaelson, Valerie; Freeman, John; King, Nathan; Ascough, Hannah; Davison, Colleen; Trothen, Tracy; Phillips, Sian; Pickett, William

    2016-11-28

    Spiritual health, along with physical, emotional, and social aspects, is one of four domains of health. Assessment in this field of research is challenging methodologically. No contemporary population-based studies have profiled the spiritual health of adolescent Canadians with a focus on health inequalities. In a 2014 nationally representative sample of Canadians aged 11-15 years we therefore: (1) psychometrically evaluated a series of items used to assess the perceived importance of spiritual health and its four potential sub-domains (connections with: self, others, nature and the natural environment, and the transcendent) to adolescents; (2) described potential inequalities in spiritual health within adolescent populations, overall and by spiritual health sub-domain, by key socio-demographic factors. Cross-sectional analysis of survey reports from the 2014 (Cycle 7) of the Canadian Health Behaviour in School-aged Children study (weighted n = 25,036). Principal components analysis followed by confirmatory factor analysis were used to explore the psychometric properties of the spiritual health items and the associated composite scale describing perceived importance of spiritual health. Associations among this composite scale, its individual sub-domains, and key socio-demographic factors were then explored. The principal components analysis best supported a four-factor structure where the eight scale items loaded highly according to the original four domains. This was also supported in confirmatory factor analyses. We then combined the eight items into composite spiritual health score as supported by theory, principal components analysis findings, and acceptable tests of reliability. Further confirmatory factor analysis suggested the need for additional refinements to this scale. Based upon exploratory cross-sectional analyses, strong socio-demographic inequalities were observed in the spiritual health measures by age, gender, relative material wealth

  16. Socioeconomic status, health inequalities and non-communicable diseases: a systematic review.

    Science.gov (United States)

    Lago, Santiago; Cantarero, David; Rivera, Berta; Pascual, Marta; Blázquez-Fernández, Carla; Casal, Bruno; Reyes, Francisco

    2018-01-01

    A comprehensive approach to health highlights its close relationship with the social and economic conditions, physical environment and individual lifestyles. However, this relationship is not exempt from methodological problems that may bias the establishment of direct effects between the variables studied. Thus, further research is necessary to investigate the role of socioeconomic variables, their composition and distribution according to health status, particularly on non-communicable diseases. To shed light on this field, here a systematic review is performed using PubMed, the Cochrane Library and Web of Science. A 7-year retrospective horizon was considered until 21 July 2017. Twenty-six papers were obtained from the database search. Additionally, results from "hand searching" were also included, where a wider horizon was considered. Five of the 26 studies analyzed used aggregated data compared to 21 using individual data. Eleven considered income as a study variable, while 17 analyzed the effect of income inequality on health status (2 of the studies considered both the absolute level and distribution of income). The most used indicator of inequality in the literature was the Gini index. Although different types of analysis produce very different results concerning the role of health determinants, the general conclusion is that income distribution is related to health where it represents a measure of the differences in social class in the society. The effect of income inequality is to increase the gap between social classes or to widen differences in status.

  17. Socio-economic inequality in multiple health complaints among adolescents: international comparative study in 37 countries

    DEFF Research Database (Denmark)

    Holstein, Bjørn E; Currie, Candace; Boyce, Will

    2009-01-01

    OBJECTIVES: To use comparable data from many countries to examine 1) socio-economic inequality in multiple health complaints among adolescents, 2) whether the countries' absolute wealth and economic inequality was associated with symptom load among adolescents, and 3) whether the countries......' absolute wealth and economic inequality explained part of the individual level socio-economic variation in health complaints. METHODS: The Health Behaviour in School-aged Children (HBSC) international study from 2005/06 provided data on 204,534 11-, 13- and 15-year old students from nationally random...... Affluence Scale FAS) and two macro level measures on the country's economic situation: wealth measured by Gross National Product (GNP) and distribution of income measured by the Gini coefficient. RESULTS: There was a significant socio-economic variation in health complaints in 31 of the 37 countries...

  18. Health inequalities research in India: a review of trends and themes in the literature since the 1990s.

    Science.gov (United States)

    Bhan, Nandita; Rao, Krishna Dipankar; Kachwaha, Shivani

    2016-10-06

    Research on health inequalities can be instrumental in drawing attention to the health of socioeconomically vulnerable groups in India in the context of rapid economic growth. It can shape the dialogue for public health action, emphasizing the need for greater investments in health, and monitor effectiveness of health programs. Our objective was to examine trends in studies on health inequalities in the last 25 years. We conducted a systematic literature review of studies on health inequalities published from 1990. The year, 1990, marked the beginning of economic reforms and liberalization in India. We searched PubMED using key terms to identify 8800 articles between 1990 and 2016; we identified 1,312 final studies for review. Key domains of analysis included measures of equity, health outcomes, populations studied, year of publication, study methodology, study focus (descriptive versus analytical), and location of main author. We found an increase in studies on health inequalities after 2005. About 88 % of the studies utilized quantitative methods for analysis. About 8 % of the studies related to health interventions or programs; the number of intervention studies have been increasing since 2010. A majority of studies were led by authors based in India. Early studies focused on mortality, communicable and non-communicable diseases, and nutrition, while later studies have focused on non-communicable diseases, mental health, risk factors, and injuries. Studies on women and children comprised nearly half of the literature; studies on the youth (15-24 years or as defined by the study) and elderly have been rising. Wealth and income were the most common measures of equity, followed by education and gender. The proportion of studies on wealth, education, region and caste have stayed consistent over time, while studies on gender disparities have been rising. In a country as diverse as India with large social inequalities combined with rapid economic growth, research

  19. Social determinants of health in India: progress and inequities across states

    OpenAIRE

    Cowling, Krycia; Dandona, Rakhi; Dandona, Lalit

    2014-01-01

    Introduction Despite the recognized importance of social determinants of health (SDH) in India, no compilation of the status of and inequities in SDH across India has been published. To address this gap, we assessed the levels and trends in major SDH in India from 1990 onwards and explored inequities by state, gender, caste, and urbanicity. Methods Household- and individual-level SDH indicators were extracted from national household surveys conducted between 1990 and 2011 and means were compu...

  20. Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice

    Science.gov (United States)

    Erreygers, Guido; Van Ourti, Tom

    2011-01-01

    The tools to be used and other choices to be made when measuring socioeconomic inequalities with rank-dependent inequality indices have recently been debated in this journal. This paper adds to this debate by stressing the importance of the measurement scale, by providing formal proofs of several issues in the debate, and by lifting the curtain on the confusing debate between adherents of absolute versus relative health differences. We end this paper with a ‘matrix’ that provides guidelines on the usefulness of several rank-dependent inequality indices under varying circumstances. PMID:21683462

  1. Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study.

    Science.gov (United States)

    Kim, Daniel; Griffin, Beth Ann; Kabeto, Mohammed; Escarce, José; Langa, Kenneth M; Shih, Regina A

    2016-01-01

    Much variation in individual-level cognitive function in late life remains unexplained, with little exploration of area-level/contextual factors to date. Income inequality is a contextual factor that may plausibly influence cognitive function. In a nationally-representative cohort of older Americans from the Health and Retirement Study, we examined state- and metropolitan statistical area (MSA)-level income inequality as predictors of individual-level cognitive function measured by the 27-point Telephone Interview for Cognitive Status (TICS-m) scale. We modeled latency periods of 8-20 years, and controlled for state-/metropolitan statistical area (MSA)-level and individual-level factors. Higher MSA-level income inequality predicted lower cognitive function 16-18 years later. Using a 16-year lag, living in a MSA in the highest income inequality quartile predicted a 0.9-point lower TICS-m score (β = -0.86; 95% CI = -1.41, -0.31), roughly equivalent to the magnitude associated with five years of aging. We observed no associations for state-level income inequality. The findings were robust to sensitivity analyses using propensity score methods. Among older Americans, MSA-level income inequality appears to influence cognitive function nearly two decades later. Policies reducing income inequality levels within cities may help address the growing burden of declining cognitive function among older populations within the United States.

  2. [Changes between pre-crisis and crisis period in socioeconomic inequalities in health and stimulant use in Netherlands].

    Science.gov (United States)

    Buggink, J W; de Goeij, M C M; Otten, F W J; Kunst, A

    2016-01-01

    International research suggests an impact of economic crises on population health, with different effects among different socioeconomic groups. Since the end of 2008 the Netherlands experienced a period of economic crisis. Our study explores how inequalities in perceived general and mental health, and alcohol and tobacco use changed after the recession started. Cross-sectional study using routinely collected data from surveys of the Dutch population. We used data from the Dutch Health Interview Surveys: 2006-2008 (pre-crisis period) and 2009-2013 (crisis period). Respondents aged 25-64 were divided into socioeconomic groups based on labour status, income level and income change. Inequalities in health and stimulant use among these socioeconomic groups were described by period and changes between the pre-crisis and crisis period were investigated using logistic regression models. Most inequalities did not change, with some exceptions. For perceived general health, inequalities between employed persons and persons not in the labour force were larger in the crisis-period (unfavourable trends for those not in the labour force). For smoking, inequalities between unemployed and employed persons were larger in the crisis period (decreasing smoking rates only for those employed), as did inequalities between persons with low and high income levels (decreasing smoking rates for those with higher income levels). Excessive drinking decreased among employed persons and persons with a decrease in income, while it remained stable among persons not in the labour force and among persons with an increase in income. The widening of some socioeconomic inequalities in health and stimulant use might suggest an enhanced vulnerability of lower socioeconomic groups to the post-2008 crisis.

  3. Inpatient care of the elderly in Brazil and India: Assessing social inequalities

    Science.gov (United States)

    Channon, Andrew Amos; Andrade, Monica Viegas; Noronha, Kenya; Leone, Tiziana; Dilip, T.R.

    2012-01-01

    The rapidly growing older adult populations in Brazil and India present major challenges for health systems in these countries, especially with regard to the equitable provision of inpatient care. The objective of this study was to contrast inequalities in both the receipt of inpatient care and the length of time that care was received among adults aged over 60 in two large countries with different modes of health service delivery. Using the Brazilian National Household Survey from 2003 and the Indian National Sample Survey Organisation survey from 2004 inequalities by wealth (measured by income in Brazil and consumption in India) were assessed using concentration curves and indices. Inequalities were also examined through the use of zero-truncated negative binomial models, studying differences in receipt of care and length of stay by region, health insurance, education and reported health status. Results indicated that there was no evidence of inequality in Brazil for both receipt and length of stay by income per capita. However, in India there was a pro-rich bias in the receipt of care, although once care was received there was no difference by consumption per capita for the length of stay. In both countries the higher educated and those with health insurance were more likely to receive care, while the higher educated had longer stays in hospital in Brazil. The health system reforms that have been undertaken in Brazil could be credited as a driver for reducing healthcare inequalities amongst the elderly, while the significant differences by wealth in India shows that reform is still needed to ensure the poor have access to inpatient care. Health reforms that move towards a more public funding model of service delivery in India may reduce inequality in elderly inpatient care in the country. PMID:23041128

  4. Markers of Psychological Differences and Social and Health Inequalities: Possible Genetic and Phenotypic Overlaps.

    Science.gov (United States)

    Mõttus, René; Marioni, Riccardo; Deary, Ian J

    2017-02-01

    Associations between markers of ostensible psychological characteristics and social and health inequalities are pervasive but difficult to explain. In some cases, there may be causal influence flowing from social and health inequalities to psychological differences, whereas sometimes it may be the other way around. Here, we focus on the possibility that some markers that we often consider as indexing different domains of individual differences may in fact reflect at least partially overlapping genetic and/or phenotypic bases. For example, individual differences in cognitive abilities and educational attainment appear to reflect largely overlapping genetic influences, whereas cognitive abilities and health literacy may be almost identical phenomena at the phenotypic, never mind genetic, level. We make the case for employing molecular genetic data and quantitative genetic techniques to better understand the associations of psychological individual differences with social and health inequalities. We illustrate these arguments by using published findings from the Lothian Birth Cohort and the Generation Scotland studies. We also present novel findings pertaining to longitudinal stability and change in older age personality traits and some correlates of the change, molecular genetic data-based heritability estimates of Neuroticism and Extraversion, and the genetic correlations of these personality traits with markers of social and health inequalities. © 2015 The Authors. Journal of Personality published by Wiley Periodicals, Inc.

  5. Millennium development goal four and child health inequities in indonesia: a systematic review of the literature.

    Directory of Open Access Journals (Sweden)

    Julia Schröders

    Full Text Available Millennium Development Goal (MDG 4 calls for reducing mortality of children under-five years by two-thirds by 2015. Indonesia is on track to officially meet the MDG 4 targets by 2015 but progress has been far from universal. It has been argued that national level statistics, on which MDG 4 relies, obscure persistent health inequities within the country. Particularly inequities in child health are a major global public health challenge both for achieving MDG 4 in 2015 and beyond. This review aims to map out the situation of MDG 4 with respect to disadvantaged populations in Indonesia applying the Social Determinants of Health (SDH framework. The specific objectives are to answer: Who are the disadvantaged populations? Where do they live? And why and how is the inequitable distribution of health explained in terms of the SDH framework?We retrieved studies through a systematic review of peer-reviewed and gray literature published in 1995-2014. The PRISMA-Equity 2012 statement was adapted to guide the methods of this review. The dependent variables were MDG 4-related indicators; the independent variable "disadvantaged populations" was defined by different categories of social differentiation using PROGRESS. Included texts were analyzed following the guidelines for deductive content analysis operationalized on the basis of the SDH framework. We identified 83 studies establishing evidence on more than 40 different determinants hindering an equitable distribution of child health in Indonesia. The most prominent determinants arise from the shortcomings within the rural health care system, the repercussions of food poverty coupled with low health literacy among parents, the impact of low household decision-making power of mothers, and the consequences of high persistent use of traditional birth attendants among ethnic minorities.This review calls for enhanced understanding of the determinants and pathways that create, detain, and overcome inequities in

  6. [Social inequalities in health, missions of a regional healthcare agency].

    Science.gov (United States)

    Ginot, Luc

    The presence of social inequalities in health requires a multi-faceted intervention, focusing on the social determinants as well as the provision of care and prevention strategies. Regional health agencies have important levers at their disposal, as illustrated by the example of the Île-de-France region. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  7. Material, behavioural, cultural and psychosocial factors in the explanation of socioeconomic inequalities in oral health.

    Science.gov (United States)

    Duijster, Denise; Oude Groeniger, Joost; van der Heijden, Geert J M G; van Lenthe, Frank J

    2017-12-19

    This study aimed to assess the contribution of material, behavioural, cultural and psychosocial factors in the explanation of socioeconomic inequalities (education and income) in oral health of Dutch adults. Cross-sectional data from participants (25-75 years of age) of the fifth wave of the GLOBE cohort were used (n = 2812). Questionnaires were used to obtain data on material factors (e.g. financial difficulties), behavioural factors (e.g. smoking), cultural factors (e.g. cultural activities) and psychosocial factors (e.g. psychological distress). Oral health outcomes were self-reported number of teeth and self-rated oral health (SROH). Mediation analysis, using multivariable negative binomial regression and logistic regression, was performed. Education level and income showed a graded positive relationship with both oral health outcomes. Adding material, behavioural, cultural and psychosocial factors substantially reduced the rate ratio for the number of teeth of the lowest education group from 0.79 (95% confidence interval (CI): 0.75-0.83) to 0.92 (95% CI: 0.87-0.97) and of the lowest income group from 0.80 (95% CI: 0.73-0.88) to 1.04 (95% CI: 0.96-1.14). Inclusion of all factors also substantially reduced the odds ratio for poor SROH of the lowest education group from 1.61 (95% CI: 1.28-2.03) to 1.12 (95% CI: 0.85-1.48) and of the lowest income groups from 3.18 (95% CI: 2.13-4.74) to 1.48 (95% CI: 0.90-2.45). In general, behavioural factors contributed most to the explanation of socioeconomic inequalities in adult oral health, followed by material factors. The contribution of cultural and psychosocial factors was relatively moderate. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association.

  8. The great recession, youth unemployment and inequalities in psychological health complaints in adolescents: a multilevel study in 31 countries.

    Science.gov (United States)

    Rathmann, Katharina; Pförtner, Timo-Kolja; Hurrelmann, Klaus; Osorio, Ana M; Bosakova, Lucia; Elgar, Frank J; Richter, Matthias

    2016-09-01

    Little is known about the impact of recessions on young people's socioeconomic inequalities in health. This study investigates the impact of the economic recession in terms of youth unemployment on socioeconomic inequalities in psychological health complaints among adolescents across Europe and North America. Data from the WHO collaborative 'Health Behaviour in School-aged Children' (HBSC) study were collected in 2005/06 (N = 160,830) and 2009/10 (N = 166,590) in 31 European and North American countries. Logistic multilevel models were used to assess the contribution of youth unemployment in 2009/10 (enduring recession) and the change in youth unemployment (2005-2010) to adolescent psychological health complaints and socioeconomic inequalities in complaints in 2009/10. Youth unemployment during the recession is positively related to psychological health complaints, but not to inequalities in complaints. Changes in youth unemployment (2005-2010) were not associated with adolescents' psychological health complaints, whereas greater inequalities in complaints were found in countries with greater increases in youth unemployment. This study highlights the need to tackle the impact of increasing unemployment on adolescent health and health inequalities during economic recessions.

  9. Inequities in visual health and health services use in a rural region in Spain.

    Science.gov (United States)

    Latorre-Arteaga, Sergio; Fernández-Sáez, José; Gil-González, Diana

    2017-06-06

    To analyse perceived visual health and health services use in a rural population in relation to socioeconomic characteristics and compared with the general population in Spain. Cross-sectional study in a rural population using a structured questionnaire including questions comparable to the Spanish National Health Survey (2012). A descriptive analysis was carried out through the calculation of frequencies and prevalence, the χ 2 test for independent variables, contrasts of proportions and logistic regression to obtain associations between the rural and general populations and socioeconomic variables. For the rural population studied, the prevalence of poor perceptions of visual health is 40.8% in men and 39.4% in women, and is strongly associated with age, employment situation, income and presence of chronic diseases (p ˂0.001). Compared with the general population, the rural population has a higher risk of presenting with serious difficulties related to farsightedness (OR: 2.56; 95% CI: 1.32-4.95) and make less use of optical correction (OR: 0.57; 95%CI: 0.44-0.74). The use of health services is not sufficient for adequate prevention, particularly in diabetics. For those affected by poor vision, the distance to travel to receive an eye exam, the belief that eyesight problems come with age and the cost of glasses are the principal reasons used to explain why eyesight problems are not resolved. The rural population presents worse visual health that is influenced by social and economic factors. Improving accessibility and reducing barriers is essential to tackle avoidable visual disability and reduce health inequities. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  10. School Composition, School Culture and Socioeconomic Inequalities in Young People's Health: Multi-Level Analysis of the Health Behaviour in School-Aged Children (HBSC) Survey in Wales

    Science.gov (United States)

    Moore, Graham F.; Littlecott, Hannah J.; Evans, Rhiannon; Murphy, Simon; Hewitt, Gillian; Fletcher, Adam

    2017-01-01

    Health inequalities emerge during childhood and youth, before widening in adulthood. Theorising, testing and interrupting the mechanisms through which inequalities are perpetuated and sustained is vital. Schools are viewed as settings through which inequality in young people's health may be addressed, but few studies examine the social processes…

  11. Dynamic Changes in Determinants of Inequalities in Health in Europe with Focus on Retired – with particular Regard to Retired Danes

    DEFF Research Database (Denmark)

    Christiansen, Terkel; Lauridsen, Jørgen Trankjær

    Earlier studies of health inequality across European countries have shown intriguing results, in particular with respect to retirement status as one of the determinants of health inequality. A priori, one would expect that inequality in health and income would be associated. Theory suggests...... into its determinants allows a calculation of the contribution of each determinant’s separate contribution to inequality in health. The results presented here indicate that retirement status contributes substantially to income-related inequality in health across European countries, and that the variation...... can be explained by income differences as well as health differences, depending on the country considered. Furthermore, it is indicated that the contribution from retirement status falls for certain countries due to improved socioeconomic status as well as improved health of the retired....

  12. Assessing public health policy approaches to level-up the gradient in health inequalities: the Gradient Evaluation Framework.

    Science.gov (United States)

    Davies, J K; Sherriff, N S

    2014-03-01

    This paper seeks to introduce and analyse the development of the Gradient Evaluation Framework (GEF) to facilitate evaluation of policy actions for their current or future use in terms of their 'gradient friendliness'. In particular, this means their potential to level-up the gradient in health inequalities by addressing the social determinants of health and thereby reducing decision-makers' chances of error when developing such policy actions. A qualitative developmental study to produce a policy-based evaluation framework. The scientific basis of GEF was developed using a comprehensive consensus-building process. This process followed an initial narrative review, based on realist review principles, which highlighted the need for production of a dedicated evaluation framework. The consensus-building process included expert workshops, a pretesting phase, and external peer review, together with support from the Gradient project Scientific Advisory Group and all Gradient project partners, including its Project Steering Committee. GEF is presented as a flexible policy tool resulting from a consensus-building process involving experts from 13 European countries. The theoretical foundations which underpin GEF are discussed, together with a range of practical challenges. The importance of systematic evaluation at each stage of the policy development and implementation cycle is highlighted, as well as the socio-political context in which policy actions are located. GEF offers potentially a major contribution to the public health field in the form of a practical, policy-relevant and common frame of reference for the evaluation of public health interventions that aim to level-up the social gradient in health inequalities. Further research, including the need for practical field testing of GEF and the exploration of alternative presentational formats, is recommended. Copyright © 2013 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  13. Reducing Poverty and Inequality in India: Has Liberalization Helped?

    OpenAIRE

    Jha, Raghbendra

    2002-01-01

    This study examines the empirical relationship among inequality, poverty and economic growth in India. Using data on consumption from the 13th to the 55th Rounds of the National Sample Survey, the author computes, for both rural and urban sectors, the Gini coefficient and three popular measures of poverty. The observed changes in inequality and poverty are explained in terms of the behaviour of key macroeconomic aggregates. A sharp rise in rural and, particularly, urban inequality and only a ...

  14. An agent-based simulation of persistent inequalities in health behavior: Understanding the interdependent roles of segregation, clustering, and social influence.

    Science.gov (United States)

    Langellier, Brent A

    2016-12-01

    Health inequalities are conspicuously persistent through time and often durable even in spite of interventions. In this study, I use agent-based simulation models (ABMs) to understand how the complex interrelationships between residential segregation, social network formation, group-level preferences, and social influence may contribute to this persistence. I use a more-stylized ABM, Bubblegum Village (BV), to understand how initial inequalities in bubblegum-chewing behaviors either endure, increase, or decrease over time given group-level differences in preferences, neighborhood-level barriers or facilitators of bubblegum chewing (e.g., access to bubblegum shops), and agents' preferences for segregation, homophily, and clustering (i.e., the 'tightness' of social networks). I further use BV to understand whether segregation and social network characteristics impact whether the effects of a bubblegum-reduction intervention that is very effective in the short term are durable over time, as well as to identify intervention strategies to reduce attenuation of the intervention effects. In addition to BV, I also present results from an ABM based on the distribution and social characteristics of the population in Philadelphia, PA. This model explores similar questions to BV, but examines racial/ethnic inequalities in soda consumption based on agents' social characteristics and baseline soda consumption probabilities informed by the 2007-2010 National Health and Nutrition Examination Survey. Collectively, the models suggest that residential segregation is a fundamental process for the production and persistence of health inequalities. The other major conclusion of the study is that, for behaviors that are subject to social influence and that cluster within social groups, interventions that are randomly-targeted to individuals with 'bad' behaviors will likely experience a large degree of recidivism to pre-intervention behaviors. In contrast, interventions that target

  15. The hidden penalties of gender inequality: fetal origins of ill-health.

    Science.gov (United States)

    Osmani, Siddiq; Sen, Amartya

    2003-01-01

    This paper is concerned with the interconnections between gender inequality and maternal deprivation, on the one hand, and the health of children (of either sex) and of adults that the children grow into (again, of either sex). The basic message of the paper is that women's deprivation in terms of nutrition and healthcare rebounds on the society as a whole in the form of ill-health of their offspring-males and females alike-both as children and as adults. There are a variety of pathways through which women's deprivation can affect the health of the society as a whole. This paper focuses on the pathways that operate through undernourishment of the mother. Maternal deprivation adversely affects the health of the fetus, which in turn leads to long-term health risks that extend not just into childhood but into adulthood as well. There are, however, important differences in the way children and adults experience the consequences of maternal deprivation via fetal deprivation. In particular, the pathways that lead to their respective risk factors and the circumstances under which those risk factors actually translate into ill-health are very different. These differences are best understood through the concept of 'overlapping health transition' in which two different regimes of diseases coexist side by side. Gender inequality exacerbates the old regime of diseases among the less affluent through the pathway of childhood undernutrition. At the same time it also exacerbates the new regime of diseases among the relatively more affluent through a pathway that has come to be known as the 'Barker hypothesis'. Gender inequality thus leads to a double jeopardy-simultaneously aggravating both regimes of diseases and thus raising the economic cost of overlapping health transition.

  16. Contribution of community-based newborn health promotion to reducing inequities in healthy newborn care practices and knowledge: evidence of improvement from a three-district pilot program in Malawi.

    Science.gov (United States)

    Callaghan-Koru, Jennifer A; Nonyane, Bareng A S; Guenther, Tanya; Sitrin, Deborah; Ligowe, Reuben; Chimbalanga, Emmanuel; Zimba, Evelyn; Kachale, Fannie; Shah, Rashed; Baqui, Abdullah H

    2013-11-07

    Inequities in both health status and coverage of health services are considered important barriers to achieving Millennium Development Goal 4. Community-based health promotion is a strategy that is believed to reduce inequities in rural low-income settings. This paper examines the contributions of community-based programming to improving the equity of newborn health in three districts in Malawi. This study is a before-and-after evaluation of Malawi's Community-Based Maternal and Newborn Care (CBMNC) program, a package of facility and community-based interventions to improve newborn health. Health Surveillance Assistants (HSAs) within the catchment area of 14 health facilities were trained to make pregnancy and postnatal home visits to promote healthy behaviors and assess women and newborns for danger signs requiring referral to a facility. "Core groups" of community volunteers were also trained to raise awareness about recommended newborn care practices. Baseline and endline household surveys measured the coverage of the intervention and targeted health behaviors for this before-and-after evaluation. Wealth indices were constructed using household asset data and concentration indices were compared between baseline and endline for each indicator. The HSAs trained in the intervention reached 36.7% of women with a pregnancy home visit and 10.9% of women with a postnatal home visit within three days of delivery. Coverage of the intervention was slightly inequitable, with richer households more likely to receive one or two pregnancy home visits (concentration indices (CI) of 0.0786 and 0.0960), but not significantly more likely to receive a postnatal visit or know of a core group. Despite modest coverage levels for the intervention, health equity improved significantly over the study period for several indicators. Greater improvements in inequities were observed for knowledge indicators than for coverage of routine health services. At endline, a greater proportion of

  17. Social Inequalities on Selected Determinants of Active Aging and Health Status Indicators in a Large Brazilian City (2003-2010).

    Science.gov (United States)

    Braga, Luciana de Souza; Lima-Costa, Maria Fernanda; César, Cibele Comini; Macinko, James

    2016-02-01

    To assess trends in social inequalities among 2,624 elderly living in Belo Horizonte, Brazil, in three domains of the World Health Organization's Active Aging model (physical environment, social determinants, use of health services) and health status indicators. Data came from two representative household surveys conducted in 2003 and 2010. Social inequality was measured by the slope and the relative index of inequality. Educational level was used to define socioeconomic status. Significant improvements were observed in the prevalence rates of 7 out of 12 indicators. However, the social inequalities persisted through 10 out of 12 selected active aging and health status indicators, except for fear of falling on the sidewalks/crossing the streets and fear of being robbed. Social inequalities persistence might be assigned to the continuity of unequal distribution of resources among groups with different educational levels. © The Author(s) 2015.

  18. The Health Equity and Effectiveness of Policy Options to Reduce Dietary Salt Intake in England: Policy Forecast.

    Directory of Open Access Journals (Sweden)

    Duncan O S Gillespie

    Full Text Available Public health action to reduce dietary salt intake has driven substantial reductions in coronary heart disease (CHD over the past decade, but avoidable socio-economic differentials remain. We therefore forecast how further intervention to reduce dietary salt intake might affect the overall level and inequality of CHD mortality.We considered English adults, with socio-economic circumstances (SEC stratified by quintiles of the Index of Multiple Deprivation. We used IMPACTSEC, a validated CHD policy model, to link policy implementation to salt intake, systolic blood pressure and CHD mortality. We forecast the effects of mandatory and voluntary product reformulation, nutrition labelling and social marketing (e.g., health promotion, education. To inform our forecasts, we elicited experts' predictions on further policy implementation up to 2020. We then modelled the effects on CHD mortality up to 2025 and simultaneously assessed the socio-economic differentials of effect.Mandatory reformulation might prevent or postpone 4,500 (2,900-6,100 CHD deaths in total, with the effect greater by 500 (300-700 deaths or 85% in the most deprived than in the most affluent. Further voluntary reformulation was predicted to be less effective and inequality-reducing, preventing or postponing 1,500 (200-5,000 CHD deaths in total, with the effect greater by 100 (-100-600 deaths or 49% in the most deprived than in the most affluent. Further social marketing and improvements to labelling might each prevent or postpone 400-500 CHD deaths, but minimally affect inequality.Mandatory engagement with industry to limit salt in processed-foods appears a promising and inequality-reducing option. For other policy options, our expert-driven forecast warns that future policy implementation might reach more deprived individuals less well, limiting inequality reduction. We therefore encourage planners to prioritise equity.

  19. Nutrition and inequalities. A note on sociological approaches.

    Science.gov (United States)

    Murcott, Anne

    2002-09-01

    This article provides an overview of three approaches taken to illuminate the sociological contribution to the field of nutrition and inequalities, in the hope of prompting future researchers to pursue the lines of enquiry suggested. Under the heading of inequalities in food use, the paper first exemplifies the utility of 'political arithmetic', possibly the sociological approach best known in public health. This includes socio-economic patterning in food purchases as well as disadvantage in access, where studies of poverty represent a longstanding focus. A rural/urban dimension has, however, been left dormant. A second approach is illustrated by work on public understandings of nutrition, encompassing primarily small-scale studies of beliefs about nutrition, which emphasise the plurality of lay definitions of diet and health. Lacking are studies which build on this work to uncover the relation to health inequalities. Third to be introduced is sociological work on the social distribution of taste, which illuminates the potential for examining enduring, shared ideas of styles in eating embedded in forms of the social organisation of the home that is associated with different socio-economic levels. The paper ends with comment on practical implications for public health practice and policy designed to reduce inequalities in nutrition.

  20. Measuring inequalities in health from survey data using self-assessed social class.

    Science.gov (United States)

    Bacak, Valerio

    2018-03-01

    Asking participants to assess their social class may be an efficient approach to examining inequalities in heath from survey data. The present study investigated this possibility empirically by testing whether subjective class identification is related to overall health. I used pooled cross-sectional data from the 2012 and the 2014 General Social Survey, a nationally representative survey carried out among adults in the United States. The association between health and class was estimated separately by gender, race and age. The association follows a gradient pattern where health deteriorates with lower class position even after controlling for indicators typically used in research that examines class differences in health-educational attainment, family income and occupational prestige. The results largely hold when the data are stratified by gender, race and age. These findings demonstrate the empirical value of subjective class identification for assessing social inequalities in health from survey data.

  1. Regional inequalities in self-rated health and disability in younger and older generations in Turkey: the contribution of wealth and education

    NARCIS (Netherlands)

    Ergin, Isil; Kunst, Anton E.

    2015-01-01

    In Turkey, large regional inequalities were found in maternal and child health. Yet, evidence on regional inequalities in adult health in Turkey remains fragmentary. This study aims to assess regional and rural/urban inequalities in the prevalence of poor self-rated health and in disability among

  2. Does early-life income inequality predict self-reported health in later life? Evidence from the United States.

    Science.gov (United States)

    Lillard, Dean R; Burkhauser, Richard V; Hahn, Markus H; Wilkins, Roger

    2015-03-01

    We investigate the association between adult health and the income inequality they experienced as children up to 80 years earlier. Our inequality data track shares of national income held by top percentiles from 1913 to 2009. We average those data over the same early-life years and merge them to individual data from the Panel Study of Income Dynamics data for 1984-2009. Controlling for demographic and economic factors, we find both men and women are statistically more likely to report poorer health if income was more unequally distributed during the first years of their lives. The association is robust to alternative specifications of income inequality and time trends and remains significant even when we control for differences in overall childhood health. Our results constitute prima facie evidence that adults' health may be adversely affected by the income inequality they experienced as children. Copyright © 2014 Elsevier Ltd. All rights reserved.

  3. Time trends and inequalities of under-five mortality in Nepal: a secondary data analysis of four demographic and health surveys between 1996 and 2011.

    Directory of Open Access Journals (Sweden)

    Chandrashekhar T Sreeramareddy

    Full Text Available BACKGROUND: Inequalities in progress towards achievement of Millennium Development Goal four (MDG-4 reflect unequal access to child health services. OBJECTIVE: To examine the time trends, socio-economic and regional inequalities of under-five mortality rate (U5MR in Nepal. METHODS: We analyzed the data from complete birth histories of four Nepal Demographic and Health Surveys (NDHS done in the years 1996, 2001, 2006 and 2011. For each livebirth, we computed survival period from birth until either fifth birthday or the survey date. Using direct methods i.e. by constructing life tables, we calculated yearly U5MRs from 1991 to 2010. Projections were made for the years 2011 to 2015. For each NDHS, U5MRs were calculated according to child's sex, mother's education, household wealth index, rural/urban residence, development regions and ecological zones. Inequalities were calculated as rate difference, rate ratio, population attributable risk and hazard ratio. RESULTS: Yearly U5MR (per 1000 live births had decreased from 157.3 (95% CIs 178.0-138.9 in 1991 to 43.2 (95% CIs 59.1-31.5 in 2010 i.e. 114.1 reduction in absolute risk. Projected U5MR for the year 2015 was 54.33. U5MRs had decreased in absolute terms in all sub groups but relative inequalities had reduced for gender and rural/urban residence only. Wide inequalities existed by wealth and education and increased between 1996 and 2011. For lowest wealth quintile (as compared to highest quintile hazard ratio (HR increased from 1.37 (95% CIs 1.27, 1.49 to 2.54 ( 95% CIs 2.25, 2.86 and for mothers having no education (as compared to higher education HR increased from 2.55 (95% CIs 1.95, 3.33 to 3.75 (95% CIs 3.17, 4.44. Changes in regional inequities were marginal and irregular. CONCLUSIONS: Nepal is most likely to achieve MDG-4 but eductional and wealth inequalities may widen further. National health policies should address to reduce inequalities in U5MR through 'inclusive policies'.

  4. Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: a recipe for good practice.

    Science.gov (United States)

    Erreygers, Guido; Van Ourti, Tom

    2011-07-01

    The tools to be used and other choices to be made when measuring socioeconomic inequalities with rank-dependent inequality indices have recently been debated in this journal. This paper adds to this debate by stressing the importance of the measurement scale, by providing formal proofs of several issues in the debate, and by lifting the curtain on the confusing debate between adherents of absolute versus relative health differences. We end this paper with a 'matrix' that provides guidelines on the usefulness of several rank-dependent inequality indices under varying circumstances. Copyright © 2011 Elsevier B.V. All rights reserved.

  5. Inequalities in maternal health care utilization in sub-Saharan African countries: a multiyear and multi-country analysis.

    Directory of Open Access Journals (Sweden)

    Nazmul Alam

    Full Text Available To assess social inequalities in the use of antenatal care (ANC, facility based delivery (FBD, and modern contraception (MC in two contrasting groups of countries in sub-Saharan Africa divided based on their progress towards maternal mortality reduction. Six countries were included in this study. Three countries (Ethiopia, Madagascar, and Uganda had 4.5% average annual reduction rate while another three (Cameroon, Zambia, and Zimbabwe had >550 MMR in 2010 with only <1.5% average annual reduction rate. All of these countries had at least three rounds of Demographic and Health Surveys (DHS before 2012. We measured rate ratios and differences, as well as relative and absolute concentration indices in order to examine within-country geographical and wealth-based inequalities in the utilization of ANC, FBD, and MC. In the countries which have made sufficient progress (i.e. Ethiopia, Madagascar, and Uganda, ANC use increased by 8.7, 9.3 and 5.7 percent, respectively, while the utilization of FBD increased by 4.7, 0.7 and 20.2 percent, respectively, over the last decade. By contrast, utilization of these services either plateaued or decreased in countries which did not make progress towards reducing maternal mortality, with the exception of Cameroon. Utilization of MC increased in all six countries but remained very low, with a high of 40.5% in Zimbabwe and low of 16.1% in Cameroon as of 2011. In general, relative measures of inequalities were found to have declined overtime in countries making progress towards reducing maternal mortality. In countries with insufficient progress towards maternal mortality reduction, these indicators remained stagnant or increased. Absolute measures for geographical and wealth-based inequalities remained high invariably in all six countries. The increasing trend in the utilization of maternal care services was found to concur with a steady decline in maternal mortality. Relative inequality declined overtime in countries

  6. POVERTY, GROWTH AND INEQUALITY IN DEVELOPING COUNTRIES

    Directory of Open Access Journals (Sweden)

    Guiga Housseima

    2012-01-01

    Full Text Available The purpose of this paper is to assess the position of some developing countries in relation to different theories about the relationship between poverty, growth and inequality. We conducted an econometric analysis through a study using panel data from 52 developing countries over the period 1990-2005, to determine the main sources of poverty reduction and show the interdependence between poverty, inequality and growth by using a system of simultaneous equations. This method is rarely applied econometric panel data and especially in the case studies on poverty. Our results indicate that the state investment in social sectors such as education and health and improving the living conditions of the rural population can promote economic growth and reducing inequality. Therefore, the Kuznets hypothesis is based on a relationship between economic growths to income inequality is most appropriate.

  7. Global solidarity, migration and global health inequity.

    Science.gov (United States)

    Eckenwiler, Lisa; Straehle, Christine; Chung, Ryoa

    2012-09-01

    The grounds for global solidarity have been theorized and conceptualized in recent years, and many have argued that we need a global concept of solidarity. But the question remains: what can motivate efforts of the international community and nation-states? Our focus is the grounding of solidarity with respect to global inequities in health. We explore what considerations could motivate acts of global solidarity in the specific context of health migration, and sketch briefly what form this kind of solidarity could take. First, we argue that the only plausible conceptualization of persons highlights their interdependence. We draw upon a conception of persons as 'ecological subjects' and from there illustrate what such a conception implies with the example of nurses migrating from low and middle-income countries to more affluent ones. Next, we address potential critics who might counter any such understanding of current international politics with a reference to real-politik and the insights of realist international political theory. We argue that national governments--while not always or even often motivated by moral reasons alone--may nevertheless be motivated to acts of global solidarity by prudential arguments. Solidarity then need not be, as many argue, a function of charitable inclination, or emergent from an acknowledgment of injustice suffered, but may in fact serve national and transnational interests. We conclude on a positive note: global solidarity may be conceptualized to helpfully address global health inequity, to the extent that personal and transnational interdependence are enough to motivate national governments into action. © 2012 Blackwell Publishing Ltd.

  8. ¿Somos iguales? Using a structural violence framework to understand gender and health inequities from an intersectional perspective in the Peruvian Amazon.

    Science.gov (United States)

    Shannon, Geordan D; Motta, Angelica; Cáceres, Carlos F; Skordis-Worrall, Jolene; Bowie, Diana; Prost, Audrey

    In the Peruvian Amazon, historical events of colonization and political marginalization intersect with identities of ethnicity, class and geography in the construction of gender and health inequities. Gender-based inequalities can manifest in poor health outcomes via discriminatory practices, healthcare system imbalances, inequities in health research, and differential exposures and vulnerabilities to diseases. Structural violence is a comprehensive framework to explain the mechanisms by which social forces such as poverty, racism and gender inequity become embodied as individual experiences and health outcomes, and thus may be a useful tool in structuring an intersectional analysis of gender and health inequities in Amazonian Peru. The aim of this paper is to explore the intersection of gender inequities with other social inequalities in the production of health and disease in Peru's Amazon using a structural violence approach. Exploratory qualitative research was performed in two Loreto settings - urban Iquitos and the rural Lower Napo River region - between March and November 2015. This included participant observation with prolonged stays in the community, 46 semi-structured individual interviews and three group discussions. Thematic analysis was performed to identify emerging themes related to gender inequalities in health and healthcare and how these intersect with layered social disadvantages in the reproduction of health and illness. We employed a structural violence approach to construct an intersectional analysis of gender and health inequities in Amazonian Peru. Our findings were arranged into five interrelated domains within a gender, structural violence and health model: gender as a symbolic institution, systemic gender-based violence, interpersonal violence, the social determinants of health, and other health outcomes. Each domain represents one aspect of the complex associations between gender, gender inequity and health. Through this model, we were

  9. Income inequality and self-reported health in a representative sample of 27 017 residents of state capitals of Brazil.

    Science.gov (United States)

    Massa, K H C; Pabayo, R; Chiavegatto Filho, A D P

    2018-02-01

    The association between income inequality and health has been analyzed predominantly in developed countries with modest levels of inequality. The study aimed to analyze the association between income inequality and self-reported health (SRH) in the adult population of the 27 Brazilian capitals. Individuals aged 18 years or older from the National Health survey residing in Brazilian capitals in 2013 were analyzed (n = 27 017). Bayesian multilevel models were applied after controlling for individual factors and area-level socioeconomic characteristics. We found a significant association between income inequality and SRH, even after controlling for individual and contextual factors. The results indicate greater odds of poor SRH among those living in areas with medium (OR = 1.31, 95% CI: 1.17-1.47) and high income inequality level (OR = 1.39, 95% CI: 1.24-1.56). Income inequality remained significantly associated with SRH, even after controlling for other contextual socioeconomic characteristics, such as local illiteracy rate, violence and per capita income. The study highlights the importance of the individual and contextual characteristics associated with SRH. Our findings suggest that city-level income inequality can have a detrimental effect on individual health, over and above other contextual socioeconomic characteristics and individual factors. © The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  10. Rethinking the relationship between socioeconomic status and health: Challenging how socioeconomic status is currently used in health inequality research.

    Science.gov (United States)

    Gagné, Thierry; Ghenadenik, Adrian E

    2018-02-01

    The Scandinavian Journal of Public Health recently reiterated the importance of addressing social justice and health inequalities in its new editorial policy announcement. One of the related challenges highlighted in that issue was the limited use of sociological theories able to inform the complexity linking the resources and mechanisms captured by the concept of socioeconomic status. This debate article argues that part of the problem lies in the often unchallenged reliance on a generic conceptualization and operationalization of socioeconomic status. These practices hinder researchers' capacity to examine in finer detail how resources and circumstances promote the unequal distribution of health through distinct yet intertwined pathways. As a potential way forward, this commentary explores how research practices can be challenged through concrete publication policies and guidelines. To this end, we propose a set of recommendations as a tool to strengthen the study of socioeconomic status and, ultimately, the quality of health inequality research. Authors, reviewers, and editors can become champions of change toward the implementation of sociological theory by holding higher standards regarding the conceptualization, operationalization, analysis, and interpretation of results in health inequality research.

  11. Social inequalities in maternal mortality among the provinces of Ecuador.

    Science.gov (United States)

    Sanhueza, Antonio; Roldán, Jakeline Calle; Ríos-Quituizaca, Paulina; Acuña, Maria Cecilia; Espinosa, Isabel

    2017-06-08

    This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. A cross-sectional ecological study was conducted, using data for 2014 from the country's 24 provinces. The MMR estimate was calculated for each province, as well as the association and its strength between MMR and specific socioeconomic indicators. For the indicators that were found to be significantly associated with MMR, inequality measurements were computed. Despite a relatively low MMR for Ecuador overall, ratios differed substantially among the provinces. Five socioeconomic indicators proved to be statistically significantly associated with MMR: total fertility rate, the percentage of indigenous population, the percentage of households with children who do not attend school, gross domestic product, and the percentage of houses with electrical service. Of these five, only three had MMR inequalities that were significant: total fertility rate, gross domestic product, and the percentage of households with electricity. This study supports research arguing that national averages can be misleading, as they often hide differences among subgroups at the local level. The findings also suggest that MMR is significantly associated with some socioeconomic indicators, including ones linked with significant health outcome inequalities. In order to reduce health inequities, it is crucial that countries look beyond national averages and identify the subgroups being left behind, explore the particular social determinants that generate these health inequalities, and examine the specific barriers and other factors affecting the subgroups most vulnerable to maternal health inequalities.

  12. Is wealthier always healthier? The impact of national income level, inequality, and poverty on public health in Latin America.

    Science.gov (United States)

    Biggs, Brian; King, Lawrence; Basu, Sanjay; Stuckler, David

    2010-07-01

    Despite findings indicating that both national income level and income inequality are each determinants of public health, few have studied how national income level, poverty and inequality interact with each other to influence public health outcomes. We analyzed the relationship between gross domestic product (GDP) per capita in purchasing power parity, extreme poverty rates, the gini coefficient for personal income and three common measures of public health: life expectancy, infant mortality rates, and tuberculosis (TB) mortality rates. Introducing poverty and inequality as modifying factors, we then assessed whether the relationship between GDP and health differed during times of increasing, decreasing, and decreasing or constant poverty and inequality. Data were taken from twenty-two Latin American countries from 1960 to 2007 from the December 2008 World Bank World Development Indicators, World Health Organization Global Tuberculosis Database 2008, and the Socio-Economic Database for Latin America and the Caribbean. Consistent with previous studies, we found increases in GDP have a sizable positive impact on population health. However, the strength of the relationship is powerfully influenced by changing levels of poverty and inequality. When poverty was increasing, greater GDP had no significant effect on life expectancy or TB mortality, and only led to a small reduction in infant mortality rates. When inequality was rising, greater GDP had only a modest effect on life expectancy and infant mortality rates, and no effect on TB mortality rates. In sharp contrast, during times of decreasing or constant poverty and inequality, there was a very strong relationship between increasing GDP and higher life expectancy and lower TB and infant mortality rates. Finally, inequality and poverty were found to exert independent, substantial effects on the relationship between national income level and health. Wealthier is indeed healthier, but how much healthier depends on how

  13. Care and consumption: A Latin American social medicine's conceptual framework to comprehend oral health inequalities.

    Science.gov (United States)

    Abadía-Barrero, César Ernesto; Martínez-Parra, Adriana Gisela

    2017-10-01

    This article offers a conceptual framework that arises out of the Latin American Social Medicine/Collective Health (LASM/CH) tradition to comprehend inequalities in oral health. We conducted a dialogue between the LASM/CH proposal called social determination of health (in particular one of its nuclear categories 'ways of living together') and studies that address social inequalities and oral health. This dialogue allowed us to redefine oral health-disease-treatment as a process that either promotes or harms well-being and is modulated by different ways of living together where not only patients and professionals, but also governments, supranational bodies, and national and international markets represented by food, pharmaceutical, insurance, personal care, and cosmetic companies interact. The article proposes the cycle particular-consumption care/institutional-consumption care as the construct that allows investigators to think about how ways of living together relate to oral health inequalities. 'Particular-consumption care' includes ways and possibilities to access healthy foods and practice protective hygienic measures. 'Institutional-consumption care' refers to institutional responses related to supply, access to services, capabilities for resolution, and pedagogical practices.

  14. Reducing poverty and inequality through tax-benefit reform and the minimum wage: the UK as a case-study

    OpenAIRE

    Atkinson, AB; Leventi, C; Nolan, B; Sutherland, H; Tasseva, I

    2017-01-01

    Atkinson’s book Inequality: What Can Be Done? (Harvard University Press, 2015) sets out a range of concrete proposals aimed at reducing income inequality, which cover a very broad span but include major changes to the income tax and social transfers system and the minimum wage. These are framed with specific reference to the UK but have much broader relevance in demonstrating how substantial the impact on inequality of such measures could be. This paper assesses the first-round effects of the...

  15. Decomposing socio-economic inequalities in leisure-time physical inactivity: the case of Spanish children.

    Science.gov (United States)

    Gonzalo-Almorox, Eduardo; Urbanos-Garrido, Rosa M

    2016-07-12

    Physical inactivity is associated with an increased risk of all-cause mortality and entails a substantial economic burden for health systems. Also, the analysis of inequality in lifestyles for young populations may contribute to reduce health inequalities during adulthood. This paper examines the income-related inequality regarding leisure-time physical inactivity in Spanish children. In this cross-sectional study based on the Spanish National Health Survey for 2011-12, concentration indices are estimated to measure socioeconomic inequalities in leisure-time physical inactivity. A decomposition analysis is performed to determine the factors that explain income-related inequalities. There is a significant socioeconomic gradient favouring the better-off associated with leisure-time physical inactivity amongst Spanish children, which is more pronounced in the case of girls. Income shows the highest contribution to total inequality, followed by education of the head of the household. The contribution of several factors (education, place of residence, age) significantly differs by gender. There is an important inequity in the distribution of leisure-time physical inactivity. Public policies aimed at promoting physical activity for children should prioritize the action into the most disadvantaged subgroups of the population. As the influence of determinants of health styles significantly differ by gender, this study points out the need of addressing the research on income-related inequalities in health habits from a gender perspective.

  16. Culture as a problem in linking material inequality to health: on residential crowding in the Arctic.

    Science.gov (United States)

    Lauster, Nathanael; Tester, Frank

    2010-05-01

    Two problems are noted in the process of measuring material inequality and linking it to health across cultural boundaries. First, comparative measurements may be used as the basis for policy making, which ends up disciplining cultural minorities. In this way, policies intended to relieve disparities can actually have the effect of extending the power of the dominant group to define appropriate cultural understanding of the world for the minority group. Second, comparative measurements may inaccurately inform theories of how inequality works to influence health and well-being. To the extent that culture mediates the relationship between inequality and outcomes of interest to researchers, those ignoring cultural differences will fail to adequately assess the impact and significance of material inequality. In this paper we discuss and illustrate these problems with reference to the study and measurement of overcrowding and its effects on health and well-being for Inuit communities in Nunavut, Canada. Copyright 2010 Elsevier Ltd. All rights reserved.

  17. Social class related inequalities in household health expenditure and economic burden: evidence from Kerala, south India

    Directory of Open Access Journals (Sweden)

    Narayana Delampady

    2011-01-01

    Full Text Available Abstract Background In the Indian context, a household's caste characteristics are most relevant for identifying its poverty and vulnerability status. Inadequate provision of public health care, the near-absence of health insurance and increasing dependence on the private health sector have impoverished the poor and the marginalised, especially the scheduled tribe population. This study examines caste-based inequalities in households' out-of-pocket health expenditure in the south Indian state of Kerala and provides evidence on the consequent financial burden inflicted upon households in different caste groups. Methods Using data from a 2003-2004 panel survey in Kottathara Panchayat that collected detailed information on health care consumption from 543 households, we analysed inequality in per capita out-of-pocket health expenditure across castes by considering households' health care needs and types of care utilised. We used multivariate regression to measure the caste-based inequality in health expenditure. To assess health expenditure burden, we analysed households incurring high health expenses and their sources of finance for meeting health expenses. Results The per capita health expenditures reported by four caste groups accord with their status in the caste hierarchy. This was confirmed by multivariate analysis after controlling for health care needs and influential confounders. Households with high health care needs are more disadvantaged in terms of spending on health care. Households with high health care needs are generally at higher risk of spending heavily on health care. Hospitalisation expenditure was found to have the most impoverishing impacts, especially on backward caste households. Conclusion Caste-based inequality in household health expenditure reflects unequal access to quality health care by different caste groups. Households with high health care needs and chronic health care needs are most affected by this inequality

  18. Country-level predictors of vaccination coverage and inequalities in Gavi-supported countries.

    Science.gov (United States)

    Arsenault, Catherine; Johri, Mira; Nandi, Arijit; Mendoza Rodríguez, José M; Hansen, Peter M; Harper, Sam

    2017-04-25

    Important inequalities in childhood vaccination coverage persist between countries and population groups. Understanding why some countries achieve higher and more equitable levels of coverage is crucial to redress these inequalities. In this study, we explored the country-level determinants of (1) coverage of the third dose of diphtheria-tetanus-pertussis- (DTP3) containing vaccine and (2) within-country inequalities in DTP3 coverage in 45 countries supported by Gavi, the Vaccine Alliance. We used data from the most recent Demographic and Health Surveys (DHS) conducted between 2005 and 2014. We measured national DTP3 coverage and the slope index of inequality in DTP3 coverage with respect to household wealth, maternal education, and multidimensional poverty. We collated data on country health systems, health financing, governance and geographic and sociocultural contexts from published sources. We used meta-regressions to assess the relationship between these country-level factors and variations in DTP3 coverage and inequalities. To validate our findings, we repeated these analyses for coverage with measles-containing vaccine (MCV). We found considerable heterogeneity in DTP3 coverage and in the magnitude of inequalities across countries. Results for MCV were consistent with those from DTP3. Political stability, gender equality and smaller land surface were important predictors of higher and more equitable levels of DTP3 coverage. Inequalities in DTP3 coverage were also lower in countries receiving more external resources for health, with lower rates of out-of-pocket spending and with higher national coverage. Greater government spending on heath and lower linguistic fractionalization were also consistent with better vaccination outcomes. Improving vaccination coverage and reducing inequalities requires that policies and programs address critical social determinants of health including geographic and social exclusion, gender inequality and the availability of

  19. Socioeconomic multi-domain health inequalities in Dutch primary school children

    NARCIS (Netherlands)

    Vermeiren, Angelique P.; Willeboordse, Maartje; Oosterhoff, Marije; Bartelink, Nina; Muris, Peter; Bosma, Hans

    2018-01-01

    Background: This study assesses socio-economic health inequalities (SEHI) over primary school-age (4- to 12-years old) across 13 outcomes (i.e. body-mass index [BMI], handgrip strength, cardiovascular fitness, current physical conditions, moderate to vigorous physical activity, sleep duration, daily

  20. Social capital, income inequality and the social gradient in self-rated health in Latin America: A fixed effects analysis.

    Science.gov (United States)

    Vincens, Natalia; Emmelin, Maria; Stafström, Martin

    2018-01-01

    Latin America is the most unequal region in the world. The current sustainable development agenda increased attention to health inequity and its determinants in the region. Our aim is to investigate the social gradient in health in Latin America and assess the effects of social capital and income inequality on it. We used cross-sectional data from the World Values Survey and the World Bank. Our sample included 10,426 respondents in eight Latin American countries. Self-rated health was used as the outcome. Education level was the socioeconomic position indicator. We measured social capital by associational membership, civic participation, generalized trust, and neighborhood trust indicators at both individual and country levels. Income inequality was operationalized using the Gini index at country-level. We employed fixed effects logistic regressions and cross-level interactions to assess the impact of social capital and income inequality on the heath gradient, controlling for country heterogeneity. Education level was independently associated with self-rated health, representing a clear social gradient in health, favoring individuals in higher socioeconomic positions. Generalized and neighborhood trust at country-level moderated the effect on the association between socioeconomic position and health, yet favoring individuals in lower socioeconomic positions, especially in lower inequality countries, despite their lower individual social capital. Our findings suggest that collective rather than individual social capital can impact the social gradient in health in Latin America, explaining health inequalities. Copyright © 2017 Elsevier Ltd. All rights reserved.