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Sample records for patient readmission

  1. Readmissions of medical patients

    DEFF Research Database (Denmark)

    Cooksley, T.; Nanayakkara, P. W. B.; Nickel, C. H.

    2016-01-01

    of readmission but have not been validated in international populations. AIM: To perform an external independent validation of the HOSPITAL and LACE scores. DESIGN: An unplanned secondary cohort study. METHODS: Patients admitted to the medical admission unit at the Hospital of South West Jutland (10...... power of both scores decreased with increasing age. CONCLUSION: Readmissions are a complex phenomenon with not only medical conditions contributing but also system, cultural and environmental factors exerting a significant influence. It is possible that the heterogeneity of the population and health...

  2. Readmission of ICU patients: A quality indicator?

    Science.gov (United States)

    Woldhek, Annemarie L; Rijkenberg, Saskia; Bosman, Rob J; van der Voort, Peter H J

    2017-04-01

    Readmission rate is frequently proposed as a quality indicator because it is related to both patient outcome and organizational efficiency. Currently available studies are not clear about modifiable factors as tools to reduce readmission rate. In a 14year retrospective cohort study of 19,750 ICU admissions we identified 1378 readmissions (7%). A multivariate logistic regression analysis for determinants of readmission within 24h, 48h, 72h and any time during hospital admission was performed with adjustment for patients' characteristics and initial admission severity scores. In all models with different time points, patients with older age, a medical and emergency surgery initial admission and patients with higher SOFA score have a higher risk of readmission. Immunodeficiency was a predictor only in the at any time model. Confirmed infection was predicted in all models except the 24h model. Last day noradrenaline treatment was predicted in the 24 and 48h model. Mechanical ventilation on admission independently protected for readmission, which can be explained by the large number of cardiac surgery patients. All multivariate models had a moderate performance with the highest AUC of 0.70. Readmission can be predicted with moderate precision and independent variables associated with readmission are age, severity of disease, type of admission, infection, immunodeficiency and last day noradrenaline use. The latter factor is the only one that can be modified and therefore readmission rate does not meet the criteria to be used as a useful quality indicator. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Determining 30-day readmission risk for heart failure patients: the Readmission After Heart Failure scale.

    Science.gov (United States)

    Chamberlain, Ronald S; Sond, Jaswinder; Mahendraraj, Krishnaraj; Lau, Christine Sm; Siracuse, Brianna L

    2018-01-01

    Chronic heart failure (CHF), which affects >5 million Americans, accounts for >1 million hospitalizations annually. As a part of the Hospital Readmission Reduction Program, the Affordable Care Act requires that the Centers for Medicare and Medicaid Services reduce payments to hospitals with excess readmissions. This study sought to develop a scale that reliably predicts readmission rates among patients with CHF. The State Inpatient Database (2006-2011) was utilized, and discharge data including demographic and clinical characteristics on 642,448 patients with CHF from California and New York (derivation cohort) and 365,359 patients with CHF from Florida and Washington (validation cohort) were extracted. The Readmission After Heart Failure (RAHF) scale was developed to predict readmission risk. The 30-day readmission rates were 9.42 and 9.17% (derivation and validation cohorts, respectively). Age readmission risk after hospitalization for CHF. The RAHF scale was created and explained the 95% of readmission variability within the validation cohort. The RAHF scale was then used to define the following three levels of risk for readmission: low (RAHF score readmission rate), moderate (RAHF score 12-15; 9.78% readmission rate), and high (RAHF score >15; 12.04% readmission rate). The relative risk of readmission was 1.67 for the high-risk group compared with the low-risk group. The RAHF scale reliably predicts a patient's 30-day CHF readmission risk based on demographic and clinical factors present upon initial admission. By risk-stratifying patients, using models such as the RAHF scale, strategies tailored to each patient can be implemented to improve patient outcomes and reduce health care costs.

  4. Worse Prognosis in Heart Failure Patients with 30-Day Readmission

    Science.gov (United States)

    Tung, Ying-Chang; Chou, Shing-Hsien; Liu, Kuan-Liang; Hsieh, I-Chang; Wu, Lung-Sheng; Lin, Chia-Pin; Wen, Ming-Shien; Chu, Pao-Hsien

    2016-01-01

    Background Heart failure (HF) readmission results in substantial expenditure on HF management. This study aimed to evaluate the readmission rate, outcome, and predictors of HF readmission. Methods Patients with reduced left ventricular ejection fraction (LVEF readmission rate, mortality and predictors of readmission. Results A total of 433 de novo HF patients with LVEF readmission rates were 10.9% and 27%, respectively. At the end of the 6-month follow-up, the readmission group had higher mortality than the non-readmission group (27.66% vs. 10.36%; p = 0.001). The survivors of the 30-day readmission had similar mortality rates at 6 months, regardless of the cause of readmission (cardiovascular vs. non-cardiovascular: 25% vs. 30.43%, p = 0.677). Among all the parameters, prescription of beta blockers independently reduced the risk of 30-day readmission (odds ratio 0.15; 95% confidence interval 0.02-0.99; p = 0.049). Conclusions Those HF patients who suffered from 30-day readmission had worse prognosis at the 6-month follow-up. Regardless of the readmission causes, the patients surviving the 30-day readmission had similar mortality rates at 6-month follow-up. These results underscored the importance of reducing readmission as a means to improve HF outcome. PMID:27899857

  5. Readmission After COPD Exacerbation Scale: determining 30-day readmission risk for COPD patients.

    Science.gov (United States)

    Lau, Christine Sm; Siracuse, Brianna L; Chamberlain, Ronald S

    2017-01-01

    COPD affects over 13 million Americans, and accounts for over half a million hospitalizations annually. The Hospital Readmission Reduction Program, established by the Affordable Care Act requires the Centers for Medicare and Medicaid Services to reduce payments to hospitals with excess readmissions for COPD as of 2015. This study sought to develop a predictive readmission scale to identify COPD patients at higher readmission risk. Demographic and clinical data on 339,389 patients from New York and California (derivation cohort) and 258,113 patients from Washington and Florida (validation cohort) were abstracted from the State Inpatient Database (2006-2011), and the Readmission After COPD Exacerbation (RACE) Scale was developed to predict 30-day readmission risk. Thirty-day COPD readmission rates were 7.54% for the derivation cohort and 6.70% for the validation cohort. Factors including age 40-65 years (odds ratio [OR] 1.17; 95% CI, 1.12-1.21), male gender (OR 1.16; 95% CI, 1.13-1.19), African American (OR 1.11; 95% CI, 1.06-1.16), 1st income quartile (OR 1.10; 95% CI, 1.06-1.15), 2nd income quartile (OR 1.06; 95% CI, 1.02-1.10), Medicaid insured (OR 1.83; 95% CI, 1.73-1.93), Medicare insured (OR 1.45; 95% CI, 1.38-1.52), anemia (OR 1.05; 95% CI, 1.02-1.09), congestive heart failure (OR 1.06; 95% CI, 1.02-1.09), depression (OR 1.18; 95% CI, 1.14-1.23), drug abuse (OR 1.17; 95% CI, 1.09-1.25), and psychoses (OR 1.19; 95% CI, 1.13-1.25) were independently associated with increased readmission rates, P readmission variability. The RACE Scale reliably predicts an individual patient's 30-day COPD readmission risk based on specific factors present at initial admission. By identifying these patients at high risk of readmission with the RACE Scale, patient-specific readmission-reduction strategies can be implemented to improve patient care as well as reduce readmissions and health care expenditures.

  6. Definition of Readmission in 3,041 Patients Undergoing Hepatectomy

    Science.gov (United States)

    Brudvik, Kristoffer W; Mise, Yoshihiro; Conrad, Claudius; Zimmitti, Giuseppe; Aloia, Thomas A; Vauthey, Jean-Nicolas

    2015-01-01

    Background Readmission rates of 9.7%–15.5% after hepatectomy have been reported. These rates are difficult to interpret due to variability in the time interval used to monitor readmission. The aim of this study was to refine the definition of readmission after hepatectomy. Study Design A prospectively maintained database of 3041 patients who underwent hepatectomy from 1998 through 2013 was merged with the hospital registry to identify readmissions. Area under the curve (AUC) analysis was used to determine the time interval that best captured unplanned readmission. Results Readmission rates at 30 days, 90 days, and 1 year after discharge were 10.7% (n = 326), 17.3% (n = 526), and 31.9% (n = 971) respectively. The time interval that best accounted for unplanned readmissions was 45 days after discharge (AUC, 0.956; p readmissions. Multivariate analysis revealed the following risk factors for unplanned readmission: diabetes (odds ratio [OR], 1.6; p = 0.024), right hepatectomy (OR, 2.1; p = 0.034), bile duct resection (OR, 1.9; p = 0.034), abdominal complication (OR, 1.8; p = 0.010), and a major postoperative complication (OR, 2.4; p 7 days nor postoperative hepatobiliary complications were independently associated with readmission. Conclusions To accurately assess readmission after hepatectomy, patients should be monitored 45 days after discharge. PMID:26047760

  7. US pediatric trauma patient unplanned 30-day readmissions.

    Science.gov (United States)

    Wheeler, Krista K; Shi, Junxin; Xiang, Henry; Thakkar, Rajan K; Groner, Jonathan I

    2018-04-01

    We sought to determine readmission rates and risk factors for acutely injured pediatric trauma patients. We produced 30-day unplanned readmission rates for pediatric trauma patients using the 2013 National Readmission Database (NRD). In US pediatric trauma patients, 1.7% had unplanned readmissions within 30days. The readmission rate for patients with index operating room procedures was no higher at 1.8%. Higher readmission rates were seen in patients with injury severity scores (ISS)=16-24 (3.4%) and ISS ≥25 (4.9%). Higher rates were also seen in patients with LOS beyond a week, severe abdominal and pelvic region injuries (3.0%), crushing (2.8%) and firearm injuries (4.5%), and in patients with fluid and electrolyte disorders (3.9%). The most common readmission principal diagnoses were injury, musculoskeletal/integumentary diagnoses and infection. Nearly 39% of readmitted patients required readmission operative procedures. Most common were operations on the musculoskeletal system (23.9% of all readmitted patients), the integumentary system (8.6%), the nervous system (6.6%), and digestive system (2.5%). Overall, the readmission rate for pediatric trauma patients was low. Measures of injury severity, specifically length of stay, were most useful in identifying those who would benefit from targeted care coordination resources. This is a Level III retrospective comparative study. Copyright © 2017 Elsevier Inc. All rights reserved.

  8. Readmission to hospital of medical patients - A cohort study

    DEFF Research Database (Denmark)

    Rasmussen, Mette Gothardt; Ravn, Pernille; Molsted, Stig

    2017-01-01

    Introduction: The incidence of acute readmissions is higher among elderly medical patients than in the general population. Risk factor identification is needed in order to prevent readmissions. Objective: To estimate the incidence of acute readmissions among medical patients ≥ 65 years discharged...... from departments of internal medicine and to identify risk factors associated with readmissions. Material and methods: We included patients discharged between 1st of January 2011 and 1st of December 2014 and collected data regarding primary diagnosis and comorbidities. The primary outcome was acute...

  9. Contribution of Patient Characteristics to Differences in Readmission Rates

    Science.gov (United States)

    Barnett, Michael L.; Hsu, John; McWilliams, J. Michael

    2016-01-01

    Importance Medicare penalizes hospitals with higher than expected readmission rates by up to 3% of annual inpatient payments. Expected rates are adjusted only for patients’ age, sex, discharge diagnosis, and recent diagnoses. Objective To assess the extent to which a comprehensive set of patient characteristics accounts for differences in hospital readmission rates. Design and Setting Using survey data from the nationally representative Health and Retirement Study (HRS) and linked Medicare claims, we assessed 29 patient characteristics from survey data and claims as potential predictors of 30-day readmission when added to standard Medicare adjustments of hospital readmission rates. We then compared the distribution of these characteristics between participants admitted to hospitals with higher vs. lower hospital-wide readmission rates reported by Medicare. Finally, we estimated differences in the probability of readmission between these groups of participants before vs. after adjusting for the additional patient characteristics. Participants HRS participants enrolled in Medicare who were hospitalized from 2009–2012 (n=8,067 admissions). Main Outcomes and Measures All-cause readmission within 30 days of discharge. Results Of the additional 29 patient characteristics assessed, 22 significantly predicted readmission beyond standard adjustments, and 17 of these were distributed differently between hospitals in the highest vs. lowest quintiles of publicly reported hospital-wide readmission rates (p≤0.04 for all). Almost all of these differences (16 of 17) indicated that participants admitted to hospitals in the highest quintile of readmission rates were more likely to have characteristics that were associated with a higher probability of readmission. The difference in the probability of readmission between participants admitted to hospitals in the highest vs. lowest quintile of hospital-wide readmission rates was reduced by 48% from 4.41 percentage points with

  10. Risk factors for readmission in schizophrenia patients following involuntary admission.

    Directory of Open Access Journals (Sweden)

    Yu-Yuan Hung

    Full Text Available Individuals with schizophrenia who are involuntarily admitted may have poorer prognosis, including higher readmission rates, than those voluntarily admitted. However, little is known about the risk factors for readmission in those schizophrenia patients who are involuntarily admitted.We aim to explore the risk factors for readmission in this population.We enrolled 138 schizophrenia patients with involuntary admission from July 2008 to June 2013 and followed those patients for readmission outcomes at 3 months and at 1 year.The one-year and 3-months readmission rates were 33.3% and 15.2%, respectively. Unmarried status (adjusted odds ratio (aOR = 6.28, 95% CI: 1.48-26.62, previous history of involuntary admission (aOR = 4.08, 95% CI: 1.19-14.02, longer involuntary admission days (aOR = 1.04, 95% CI: 1.01-1.07 and shorter total admission days (aOR = 1.03, 95% CI: 1.01-1.05 were associated with increased risk for 1-year readmission. Younger age (aOR = 1.10, 95% CI 1.02-1.18 was associated with increased risk for 3-months readmission.Unmarried status, prior history of involuntary admission, longer involuntary admission days and shorter total admission days were associated with increased risk for 1-year readmission. Healthcare providers may need to focus on patients with these risk factors to reduce subsequent readmissions.

  11. Risk factors for readmission in schizophrenia patients following involuntary admission.

    Science.gov (United States)

    Hung, Yu-Yuan; Chan, Hung-Yu; Pan, Yi-Ju

    2017-01-01

    Individuals with schizophrenia who are involuntarily admitted may have poorer prognosis, including higher readmission rates, than those voluntarily admitted. However, little is known about the risk factors for readmission in those schizophrenia patients who are involuntarily admitted. We aim to explore the risk factors for readmission in this population. We enrolled 138 schizophrenia patients with involuntary admission from July 2008 to June 2013 and followed those patients for readmission outcomes at 3 months and at 1 year. The one-year and 3-months readmission rates were 33.3% and 15.2%, respectively. Unmarried status (adjusted odds ratio (aOR) = 6.28, 95% CI: 1.48-26.62), previous history of involuntary admission (aOR = 4.08, 95% CI: 1.19-14.02), longer involuntary admission days (aOR = 1.04, 95% CI: 1.01-1.07) and shorter total admission days (aOR = 1.03, 95% CI: 1.01-1.05) were associated with increased risk for 1-year readmission. Younger age (aOR = 1.10, 95% CI 1.02-1.18) was associated with increased risk for 3-months readmission. Unmarried status, prior history of involuntary admission, longer involuntary admission days and shorter total admission days were associated with increased risk for 1-year readmission. Healthcare providers may need to focus on patients with these risk factors to reduce subsequent readmissions.

  12. Systematic Review of Hospital Readmissions in Stroke Patients

    Directory of Open Access Journals (Sweden)

    Ahsan Rao

    2016-01-01

    Full Text Available Background. Previous evidence on factors and causes of readmissions associated with high-impact users of stroke is scanty. The aim of the study was to investigate common causes and pattern of short- and long-term readmissions stroke patients by conducting a systematic review of studies using hospital administrative data. Common risk factors associated with the change of readmission rate were also examined. Methods. The literature search was conducted from 15 February to 15 March 2016 using various databases, such as Medline, Embase, and Web of Science. Results. There were a total of 24 studies (n=2,126,617 included in the review. Only 4 studies assessed causes of readmissions in stroke patients with the follow-up duration from 30 days to 5 years. Common causes of readmissions in majority of the studies were recurrent stroke, infections, and cardiac conditions. Common patient-related risk factors associated with increased readmission rate were age and history of coronary heart disease, heart failure, renal disease, respiratory disease, peripheral arterial disease, and diabetes. Among stroke-related factors, length of stay of index stroke admission was associated with increased readmission rate, followed by bowel incontinence, feeding tube, and urinary catheter. Conclusion. Although risk factors and common causes of readmission were identified, none of the previous studies investigated causes and their sequence of readmissions among high-impact stroke users.

  13. Patient Characteristics Predicting Readmission Among Individuals Hospitalized for Heart Failure

    Science.gov (United States)

    O'Connor, Melissa; Murtaugh, Christopher M.; Shah, Shivani; Barrón-Vaya, Yolanda; Bowles, Kathryn H.; Peng, Timothy R.; Zhu, Carolyn W.; Feldman, Penny H.

    2015-01-01

    Heart failure is difficult to manage and increasingly common with many individuals experiencing frequent hospitalizations. Little is known about patient factors consistently associated with hospital readmission. A literature review was conducted to identify heart failure patient characteristics, measured before discharge, that contribute to variation in hospital readmission rates. Database searches yielded 950 potential articles, of which 34 studies met inclusion criteria. Patient characteristics generally have a very modest effect on all-cause or heart failure–related readmission within 7 to 180 days of index hospital discharge. A range of cardiac diseases and other comorbidities only minimally increase readmission rates. No single patient characteristic stands out as a key contributor across multiple studies underscoring the challenge of developing successful interventions to reduce readmissions. Interventions may need to be general in design with the specific intervention depending on each patient's unique clinical profile. PMID:26180045

  14. Patient Characteristics Predicting Readmission Among Individuals Hospitalized for Heart Failure.

    Science.gov (United States)

    O'Connor, Melissa; Murtaugh, Christopher M; Shah, Shivani; Barrón-Vaya, Yolanda; Bowles, Kathryn H; Peng, Timothy R; Zhu, Carolyn W; Feldman, Penny H

    2016-02-01

    Heart failure is difficult to manage and increasingly common with many individuals experiencing frequent hospitalizations. Little is known about patient factors consistently associated with hospital readmission. A literature review was conducted to identify heart failure patient characteristics, measured before discharge, that contribute to variation in hospital readmission rates. Database searches yielded 950 potential articles, of which 34 studies met inclusion criteria. Patient characteristics generally have a very modest effect on all-cause or heart failure-related readmission within 7 to 180 days of index hospital discharge. A range of cardiac diseases and other comorbidities only minimally increase readmission rates. No single patient characteristic stands out as a key contributor across multiple studies underscoring the challenge of developing successful interventions to reduce readmissions. Interventions may need to be general in design with the specific intervention depending on each patient's unique clinical profile. © The Author(s) 2015.

  15. Do Psychosocial Factors Predict Readmission among Diabetic Elderly Patients?

    Science.gov (United States)

    Alavi, Mousa; Baharlooei, Omeleila; AdelMehraban, Marzieh

    2017-01-01

    Despite advances in diabetes treatment, the rate of readmission is still relatively high among these patients, especially in older population. Various factors may predict readmission in these patients; hence, the aim of this study was to assess the role of psychosocial factors in predicting readmission among diabetic elderly hospitalized in selected hospitals of Isfahan. In this cross-sectional study conducted from January to September 2016, 150 diabetic elderly hospitalized in selected hospitals affiliated with Isfahan University of medical sciences were chosen using a convenient sampling method. The initial information was collected by a three-part questionnaire consisting of (a) demographic characteristics, (b) 21-item depression, anxiety, and stress scale (DASS-21), and (c) multidimensional scale of perceived social support (MSPSS). Further information about readmission was gathered 3 months after completing the questionnaires through a phone call follow-up. Descriptive and inferential statistics (discriminant function analysis test) were used to analyze the data. During 3 months after discharge, 44% of hospitalized diabetic elderly were readmitted. Analytical model predicted the readmission status of 109 individuals (of total 150 persons) in the studied units (success rate of 72.2%). Among predicting factors, depression and social support had the most and the least important roles in predicting readmission rate, respectively. Interventions to improve mental status (i.e., decreasing levels of depression, anxiety, and stress) and develop social support are suggested to reduce the risk of readmission among diabetic elderly patients. Nevertheless, future studies are needed to verify the value of such interventions.

  16. Unplanned readmission after hospital discharge in burn patients in Iran.

    Science.gov (United States)

    Jafaryparvar, Zakiyeh; Adib, Masoomeh; Ghanbari, Atefeh; Leyli, Ehsan Kazemnezhad

    2018-02-21

    Burns are considered as one of the most serious health problems throughout the world. They may lead to adverse consequences and outcomes. One of these outcomes is unplanned readmission. Unplanned readmission has been commonly used as a quality indicator by hospitals and governments. This study aimed to determine the predictors of unplanned readmission in patients with burns hospitalized in a burn center in the North of Iran (Guilan province, Rasht). This retrospective analytic study has been done on the medical records of hospitalized patients with burns in Velayat Sub-Specialty Burn and Plastic Surgery Center, Rasht, Iran during 2008-2013. In general, 703 medical records have been reviewed but statistical analysis was performed on 626 medical records. All data were entered in SPSS (version 16) and analyzed by descriptive and inferential statistics. Among 626 patients with burns, the overall readmission rate was 5.1%. Predictors of readmission included total body surface area (OR 1.030, CI 1.011-1.049), hypertension (OR 2.923, CI 1.089-7.845) and skin graft (OR 7.045, CI 2.718-18.258). Considering the outcome, predictors following burn have a crucial role in the allocation of treatment cost for patients with burns and they can be used as one of the quality indicators for health care providers and governments.

  17. The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission.

    Science.gov (United States)

    Baillie, Charles A; VanZandbergen, Christine; Tait, Gordon; Hanish, Asaf; Leas, Brian; French, Benjamin; Hanson, C William; Behta, Maryam; Umscheid, Craig A

    2013-12-01

    Identification of patients at high risk for readmission is a crucial step toward improving care and reducing readmissions. The adoption of electronic health records (EHR) may prove important to strategies designed to risk stratify patients and introduce targeted interventions. To develop and implement an automated prediction model integrated into our health system's EHR that identifies on admission patients at high risk for readmission within 30 days of discharge. Retrospective and prospective cohort. Healthcare system consisting of 3 hospitals. All adult patients admitted from August 2009 to September 2012. An automated readmission risk flag integrated into the EHR. Thirty-day all-cause and 7-day unplanned healthcare system readmissions. Using retrospective data, a single risk factor, ≥ 2 inpatient admissions in the past 12 months, was found to have the best balance of sensitivity (40%), positive predictive value (31%), and proportion of patients flagged (18%), with a C statistic of 0.62. Sensitivity (39%), positive predictive value (30%), proportion of patients flagged (18%), and C statistic (0.61) during the 12-month period after implementation of the risk flag were similar. There was no evidence for an effect of the intervention on 30-day all-cause and 7-day unplanned readmission rates in the 12-month period after implementation. An automated prediction model was effectively integrated into an existing EHR and identified patients on admission who were at risk for readmission within 30 days of discharge. © 2013 Society of Hospital Medicine.

  18. Patients' and providers' perceptions of the preventability of hospital readmission

    DEFF Research Database (Denmark)

    van Galen, Louise S; Brabrand, Mikkel; Cooksley, Tim

    2017-01-01

    0.24 to 0.49). CONCLUSIONS: There is no consensus between readmitted patients, their carers and treating professionals about predictability and preventability of readmissions, nor associated risk factors. A readmitted patient reporting not feeling ready for discharge at index admission was strongly...

  19. Factors Associated with Readmission of Patients with Congenital Heart Disease in a Swiss University Hospital.

    Science.gov (United States)

    Chave, Morgane; Marques-Vidal, Pedro

    2017-04-01

    Congenital heart defects (CHD) lead to extensive use of healthcare resources. Still, there is little information available regarding readmission rates or associated factors. We sought to evaluate readmission rates and their determinants among patients with CHD hospitalized in a Swiss university hospital. We conducted a retrospective study using data from all non-adult (readmissions, 83 (86.5%) were related to the CHD. Median time to readmission was 10 days (interquartile range 6-20) and median length of readmission was 12 days (interquartile range 6-20). After multivariate adjustment, foreign nationality, greater distance to hospital and length of index hospitalization readmission. Patients who underwent surgery were less likely to be readmitted (8.7%). We conclude that readmissions were frequent, almost 1 in 10 patients, and associated with several socio-clinical factors. Providing patients who live far from hospital with specialized care closer to home may help reduce the rate of readmission.

  20. Development and prospective validation of a model estimating risk of readmission in cancer patients.

    Science.gov (United States)

    Schmidt, Carl R; Hefner, Jennifer; McAlearney, Ann S; Graham, Lisa; Johnson, Kristen; Moffatt-Bruce, Susan; Huerta, Timothy; Pawlik, Timothy M; White, Susan

    2018-02-26

    Hospital readmissions among cancer patients are common. While several models estimating readmission risk exist, models specific for cancer patients are lacking. A logistic regression model estimating risk of unplanned 30-day readmission was developed using inpatient admission data from a 2-year period (n = 18 782) at a tertiary cancer hospital. Readmission risk estimates derived from the model were then calculated prospectively over a 10-month period (n = 8616 admissions) and compared with actual incidence of readmission. There were 2478 (13.2%) unplanned readmissions. Model factors associated with readmission included: emergency department visit within 30 days, >1 admission within 60 days, non-surgical admission, solid malignancy, gastrointestinal cancer, emergency admission, length of stay >5 days, abnormal sodium, hemoglobin, or white blood cell count. The c-statistic for the model was 0.70. During the 10-month prospective evaluation, estimates of readmission from the model were associated with higher actual readmission incidence from 20.7% for the highest risk category to 9.6% for the lowest. An unplanned readmission risk model developed specifically for cancer patients performs well when validated prospectively. The specificity of the model for cancer patients, EMR incorporation, and prospective validation justify use of the model in future studies designed to reduce and prevent readmissions. © 2018 Wiley Periodicals, Inc.

  1. Decreasing Hospital Readmission in Ileostomy Patients: Results of Novel Pilot Program.

    Science.gov (United States)

    Shaffer, Virginia O; Owi, Tari; Kumarusamy, Mathu A; Sullivan, Patrick S; Srinivasan, Jahnavi K; Maithel, Shishir K; Staley, Charles A; Sweeney, John F; Esper, Greg

    2017-04-01

    Nearly 30% of patients with newly formed ileostomies require hospital readmission from severe dehydration or associated complications. This contributes to significant morbidity and rising healthcare costs associated with this procedure. Our aim was to design and pilot a novel program to decrease readmissions in this patient population. An agreement was established with Visiting Nurse Health System (VNHS) in March 2015 that incorporated regular home visits with clinical triggers to institute surgeon-supervised corrective measures aimed at preventing patient decompensation associated with hospital readmissions. Thirty-day readmission data for patients managed with and without VNHS support for 10.5 months before and after implementation of this new program were collected. Of 833 patients with small bowel procedures, 162 were ileostomies with 47 in the VNHS and 115 in the non-VNHS group. Before program implementation, VNHS (n = 24) and non-VNHS patients (n = 54) had similar readmission rates (20.8% vs 16.7%). After implementation, VNHS patients (n = 23) had a 58% reduction in hospital readmission (8.7%) and non-VNHS patient hospital readmissions (n = 61) increased slightly (24.5%). Total cost of readmissions per patient in the cohort decreased by >80% in the pilot VNHS group. Implementation of a novel program reduced the 30-day readmission rate by 58% and cost of readmissions per patient by >80% in a high risk for readmission patient population with newly created ileostomies. Future efforts will expand this program to a greater number of patients, both institutionally and systemically, to reduce the readmission-rate and healthcare costs for this high-risk patient population. Copyright © 2017 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

  2. Nationwide Estimates of 30-Day Readmission in Patients With Ischemic Stroke.

    Science.gov (United States)

    Vahidy, Farhaan S; Donnelly, John P; McCullough, Louise D; Tyson, Jon E; Miller, Charles C; Boehme, Amelia K; Savitz, Sean I; Albright, Karen C

    2017-05-01

    Readmission within 30 days of hospital discharge for ischemic stroke is an important quality of care metric. We aimed to provide nationwide estimates of 30-day readmission in the United States, describe important reasons for readmission, and sought to explore factors associated with 30-day readmission, particularly the association with recanalization therapy. We conducted a weighted analysis of the 2013 Nationwide Readmission Database to represent all US hospitalizations. Adult patients with acute ischemic stroke including those who received intravenous tissue-type plasminogen activator and intra-arterial therapy were identified using International Classification of Diseases -Ninth Revision codes. Readmissions were defined as any readmission during the 30-day post-index hospitalization discharge period for the eligible patient population. Proportions and 95% confidence intervals for overall 30-day readmissions and for unplanned and potentially preventable readmissions are reported. Survey design logistic regression models were fit for determining crude and adjusted odds ratios and 95% confidence interval for association between recanalization therapy and 30-day readmission. Of the 319 317 patients with acute ischemic stroke, 12.1% (95% confidence interval, 11.9-12.3) were readmitted. Of these, 89.6% were unplanned and 12.9% were potentially preventable. More than 20% of all readmissions were attributable to acute cerebrovascular disease. Readmitted patients were older and had a higher comorbidity burden. After controlling for age, sex, insurance status, and comorbidities, patients who underwent recanalization therapy had significantly lower odds of 30-day readmission (odds ratio, 0.82; 95% confidence interval, 0.77-0.89). Up to 12% of patients with ischemic stroke get readmitted within 30 days post-discharge period, and recanalization therapy is associated with 11% to 23% lower odds of 30-day readmission. © 2017 American Heart Association, Inc.

  3. Can we reduce preventable heart failure readmissions in patients enrolled in a Disease Management Programme?

    LENUS (Irish Health Repository)

    Phelan, D

    2012-02-01

    BACKGROUND: Disease Management Programmes (DMPs) are successful in reducing hospital readmissions in heart failure (HF). However, there remain a number of patients enrolled in a DMP who are readmitted with HF. The primary aim of the study was to determine the proportion of preventable readmissions (PR). The secondary aim was to recognise patient characteristics which would identify certain patients at risk of having a PR. METHODS: A retrospective chart search was performed on patients readmitted over a 1-year period. RESULTS: 38.5% of readmissions were classified as PR. None of these patients made prior contact with the DMP. Admission levels of BNP, potassium, urea and creatinine were significantly lower in the PR group. CONCLUSION: DMP have proven benefits in reducing hospital readmission nonetheless a significant proportion of these readmissions are preventable. Further work is required to prospectively analyse why these patients fail to contact the DMP.

  4. Reasons for readmission in heart failure : Perspectives of patients, caregivers, cardiologists, and heart failure nurses

    NARCIS (Netherlands)

    Annema, Coby; Luttik, Marie-Louise; Jaarsma, Tiny

    2009-01-01

    OBJECTIVE: Despite efforts to improve outcomes in heart failure (HF), readmission rates remain relatively high. Reasons for readmission from different perspectives (patient, caregiver, health care providers) may help to optimize the future management of patients with HF. The aims of this study are

  5. Comparing performance of 30-day readmission risk classifiers among hospitalized primary care patients.

    Science.gov (United States)

    Garrison, Gregory M; Robelia, Paul M; Pecina, Jennifer L; Dawson, Nancy L

    2017-06-01

    Hospital readmission within 30 days of discharge occurs in almost 20% of US Medicare patients and may be a marker of poor quality inpatient care, ineffective hospital to home transitions, or disease severity. Within a patient centered medical home, care transition interventions may only be practical from cost and staffing perspectives if targeted at patients with the greatest risk of readmission. Various scoring algorithms attempt to predict patients at risk for 30-day readmission, but head-to-head comparison of performance is lacking. Compare published scoring algorithms which use generally available electronic medical record data on the same set of hospitalized primary care patients. The LACE index, the LACE+ index, the HOSPITAL score, and the readmission risk score were computed on a consecutive cohort of 26,278 hospital admissions. Classifier performance was assessed by plotting receiver operating characteristic curves comparing the computed score with the actual outcome of death or readmission within 30 days. Statistical significance of differences in performance was assessed using bootstrapping techniques. Correct readmission classification on this cohort was moderate with the following c-statistics: Readmission risk score 0.666; LACE 0.680; LACE+ 0.662; and HOSPITAL 0.675. There was no statistically significant difference in performance between classifiers. Logistic regression based classifiers yield only moderate performance when utilized to predict 30-day readmissions. The task is difficult due to the variety of underlying causes for readmission, nonlinearity, and the arbitrary time period of concern. More sophisticated classification techniques may be necessary to increase performance and allow patient centered medical homes to effectively focus efforts to reduce readmissions. © 2016 John Wiley & Sons, Ltd.

  6. Factors associated with readmission to the hospital within 30 days in patients with inflammatory bowel disease

    Science.gov (United States)

    Gaetano, John N.; Rubin, Jonah N.; Cohen, Russell D.; Sakuraba, Atsushi; Rubin, David T.; Pekow, Joel

    2017-01-01

    Background Management of inpatients with inflammatory bowel disease (IBD) requires increasing resources. We aimed to identify factors associated with hospital readmissions among individuals with IBD. Materials & methods We collected data from the Healthcare Cost and Utilization Project Nationwide Readmissions Database 2013. We identified individuals with index hospitalizations for IBD. Patient-specific factors, comorbidities and hospitalization characteristics were extracted for the index hospitalization. We performed logistic regression modeling to create adjusted odds ratios (ORs) for 30-day hospital readmission. Subgroup analysis was performed based on disease type and performance of surgery. Results We analyzed a total of 55,942 index hospital discharges; 3037 patients (7.0%) were readmitted to the hospital within 30 days. Increasing patient age (> 65: OR: 0.45; 95% CI 0.39–0.53) was associated with a decreased risk of readmission, while a diagnosis of Crohn’s disease (OR: 1.09; 95% CI 1.00–1.18) and male sex (OR: 1.16; 95% CI 1.07–1.25) were associated with an increased risk of readmission. The comorbidities of smoking (OR: 1.09; 95% CI 1.00–1.19), anxiety (OR: 1.17; 95% CI 1.01–1.36) and opioid dependence (OR: 1.40; 95% CI 1.06–1.86) were associated with an increased risk of 30-day readmission. Individual hospitalization characteristics and disease complications were significantly associated with readmission. Performance of a surgery during the index admission was associated with a decreased risk of readmission (OR: 0.57; 95% CI 0.33–0.96). Conclusion Analyzing data from a US publicly available all-payer inpatient healthcare database, we identified patient and hospitalization risk factors associated with 30-day readmission. Identifying patients at high risk for readmission may allow for interventions during or after the index hospitalization to decrease this risk. PMID:28837634

  7. Factors associated with readmission to the hospital within 30 days in patients with inflammatory bowel disease.

    Directory of Open Access Journals (Sweden)

    Dejan Micic

    Full Text Available Management of inpatients with inflammatory bowel disease (IBD requires increasing resources. We aimed to identify factors associated with hospital readmissions among individuals with IBD.We collected data from the Healthcare Cost and Utilization Project Nationwide Readmissions Database 2013. We identified individuals with index hospitalizations for IBD. Patient-specific factors, comorbidities and hospitalization characteristics were extracted for the index hospitalization. We performed logistic regression modeling to create adjusted odds ratios (ORs for 30-day hospital readmission. Subgroup analysis was performed based on disease type and performance of surgery.We analyzed a total of 55,942 index hospital discharges; 3037 patients (7.0% were readmitted to the hospital within 30 days. Increasing patient age (> 65: OR: 0.45; 95% CI 0.39-0.53 was associated with a decreased risk of readmission, while a diagnosis of Crohn's disease (OR: 1.09; 95% CI 1.00-1.18 and male sex (OR: 1.16; 95% CI 1.07-1.25 were associated with an increased risk of readmission. The comorbidities of smoking (OR: 1.09; 95% CI 1.00-1.19, anxiety (OR: 1.17; 95% CI 1.01-1.36 and opioid dependence (OR: 1.40; 95% CI 1.06-1.86 were associated with an increased risk of 30-day readmission. Individual hospitalization characteristics and disease complications were significantly associated with readmission. Performance of a surgery during the index admission was associated with a decreased risk of readmission (OR: 0.57; 95% CI 0.33-0.96.Analyzing data from a US publicly available all-payer inpatient healthcare database, we identified patient and hospitalization risk factors associated with 30-day readmission. Identifying patients at high risk for readmission may allow for interventions during or after the index hospitalization to decrease this risk.

  8. Accounting For Patients' Socioeconomic Status Does Not Change Hospital Readmission Rates.

    Science.gov (United States)

    Bernheim, Susannah M; Parzynski, Craig S; Horwitz, Leora; Lin, Zhenqiu; Araas, Michael J; Ross, Joseph S; Drye, Elizabeth E; Suter, Lisa G; Normand, Sharon-Lise T; Krumholz, Harlan M

    2016-08-01

    There is an active public debate about whether patients' socioeconomic status should be included in the readmission measures used to determine penalties in Medicare's Hospital Readmissions Reduction Program (HRRP). Using the current Centers for Medicare and Medicaid Services methodology, we compared risk-standardized readmission rates for hospitals caring for high and low proportions of patients of low socioeconomic status (as defined by their Medicaid status or neighborhood income). We then calculated risk-standardized readmission rates after additionally adjusting for patients' socioeconomic status. Our results demonstrate that hospitals caring for large proportions of patients of low socioeconomic status have readmission rates similar to those of other hospitals. Moreover, readmission rates calculated with and without adjustment for patients' socioeconomic status are highly correlated. Readmission rates of hospitals caring for patients of low socioeconomic status changed by approximately 0.1 percent with adjustment for patients' socioeconomic status, and only 3-4 percent fewer such hospitals reached the threshold for payment penalty in Medicare's HRRP. Overall, adjustment for socioeconomic status does not change hospital results in meaningful ways. Project HOPE—The People-to-People Health Foundation, Inc.

  9. The readmission rates in patients with versus those without diabetes mellitus at an urban teaching hospital.

    Science.gov (United States)

    Sonmez, Halis; Kambo, Varinder; Avtanski, Dimiter; Lutsky, Larry; Poretsky, Leonid

    2017-12-01

    We examined the 30-day hospital readmission rates and their association with the admission diagnosis and the length of stay (LOS) in patients with diabetes versus those without diabetes mellitus (DM) in an urban teaching hospital. In this retrospective study, we compared the 30-day readmission rates in patients with DM (n=16,266) versus those without DM (n=86,428) at an urban teaching hospital between January 1, 2013, and September 30, 2015. In individuals with a secondary diagnosis of DM, we analyzed the relationship between readmission rates and the ten most common Medicare Severity Diagnosis Related Groups (MS-DRGs). Additionally, we examined the relationship between the LOS and readmission rates in patients with diabetes and those without DM. The 30-day readmission rates adjusted for age and gender were higher in patients with DM compared to those without DM (15.3% vs. 8.4%, respectively, readmissions was present both in patients with a primary or a secondary diagnosis of DM. For the secondary diagnosis of DM, statistically significant difference was present for two out of the ten most common DRGs (DRG # 313 [chest pain], and # 392 [esophagitis, gastroenteritis, and miscellaneous digestive disorders], p=0.045 and 0.009, respectively). There was a direct correlation between LOS and readmission rates in both patients with diabetes and those without DM (preadmission rates are higher in patients with DM compared to patients without DM. DM is an independent risk factor for hospital readmissions. The readmission rates correlate directly with LOS in both patients with diabetes and those without DM. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Psychosocial risk factors for hospital readmission in COPD patients on early discharge services: a cohort study

    Directory of Open Access Journals (Sweden)

    Todd Christopher J

    2011-11-01

    Full Text Available Abstract Background Hospital readmission for acute exacerbation of COPD (AECOPD occurs in up to 30% of patients, leading to excess morbidity and poor survival. Physiological risk factors predict readmission, but the impact of modifiable psychosocial risk factors remains uncertain. We aimed to evaluate whether psychosocial risk factors independently predict readmission for AECOPD in patients referred to early discharge services (EDS. Methods This prospective cohort study included 79 patients with AECOPD cared for by nurse led EDS in the UK, and followed up for 12 months. Data on lung function, medical comorbidities, previous hospital admissions, medications, and sociodemographics were collected at baseline; St George's Respiratory Questionnaire (SGRQ, Hospital Anxiety and Depression Scale (HADS, and social support were measured at baseline, 3 and 12-months. Exploratory multivariate models were fitted to identify psychosocial factors associated with readmission adjusted for known confounders. Results 26 patients were readmitted within 90 days and 60 patients were readmitted at least once during follow-up. Depression at baseline predicted readmission adjusted for sociodemographics and forced expiratory volume in 1 second (odds ratio 1.30, 95% CI 1.06 to 1.60, p = 0.013. Perceived social support was not significantly associated with risk of readmission. Home ownership was associated with the total number of readmissions (B = 0.46, 95% CI -0.86 to -0.06, p = 0.024. Compared with those not readmitted, readmitted patients had worse SGRQ and HADS scores at 12 months. Conclusion Depressive symptoms and socioeconomic status, but not perceived social support, predict risk of readmission and readmission frequency for AECOPD in patients cared for by nurse-led EDS. Future work on reducing demand for unscheduled hospital admissions could include the design and evaluation of interventions aimed at optimising the psychosocial care of AECOPD patients managed at

  11. Incidence and predictors of 30-day readmissions in patients hospitalized with chronic pancreatitis: A nationwide analysis.

    Science.gov (United States)

    Shah, Rushikesh; Haydek, Christopher; Mulki, Ramzi; Qayed, Emad

    2018-04-23

    Patients with chronic pancreatitis are prone to frequent readmissions. The aim of this study is to evaluate the rate and predictors of 30-day readmissions in patients with chronic pancreatitis using the Nationwide Readmission Database (NRD). We performed a retrospective analysis of all adult patients with the principal discharge diagnosis of chronic pancreatitis from 2010 through 2014. We excluded patients who died during the hospitalization. Multivariate Cox proportional hazard regression was performed to identify demographic, clinical, and hospital factors that associated with 30-day unplanned readmissions. During the study period, 25,259 patients had the principal discharge diagnosis of chronic pancreatitis and survived the index hospitalization. Of these, 6477 (26.7%) were readmitted within 30 days. Younger age group, males, length of stay >5 days, admission to a large, metropolitan hospital, and several comorbidities (renal failure, rheumatic disease, chronic anemia, heart failure, depression, drug abuse, psychosis, and diabetes) were independently associated with increased risk of 30-day readmission. ERCP, pancreatic surgery, and obesity were associated with lower risk. The most common reasons for readmissions were acute pancreatitis (30%), chronic pancreatitis (17%), pseudocyst (2%), and abdominal pain (6%). One in four patients with chronic pancreatitis is readmitted within 30 days (26.7%). Pancreatic disease accounts for at least half of all readmissions. Several baseline comorbidities and characteristics are associated with 30-day readmission risk after index admission. Knowledge of these predictors can help design interventions to target high-risk patients and reduce readmissions and costs of care. Copyright © 2018 IAP and EPC. Published by Elsevier B.V. All rights reserved.

  12. Predictive factors for and incidence of hospital readmissions of patients with acute and chronic pancreatitis.

    Science.gov (United States)

    Suchsland, Till; Aghdassi, Ali; Kühn, Kristina; Simon, Peter; Lerch, Markus M; Mayerle, Julia; Flessa, Steffen

    2015-01-01

    Acute and chronic pancreatitis are common gastroenterological disorders that have a fairly unpredictable long-term course often associated with unplanned hospital readmissions. Little is known about the factors that increase or decrease the risk for a hospital readmission. The aim of this study was to identify positive and negative predictive factors for hospital readmissions of patients with acute and chronic pancreatitis after in-hospital treatment. In a retrospective analysis data from the hospital information and reimbursement data system (HIS) were evaluated for 606 hospital stays for either acute or chronic pancreatitis between 2006 and 2011. Additional clinical data were obtained from a questionnaire covering quality of life and socio-economic status. A total of 973 patient variables were assessed by bivariate and multivariate analysis. Between 2006 and 2011, 373 patients were admitted for acute or chronic pancreatitis; 107 patients of them were readmitted and 266 had only one hospitalization. Predictors for readmission were concomitant liver disease, presence of a pseudocyst or a suspected tumor of the pancreas as well as alcohol, tobacco or substance abuse or coexisting mental disorders. Patients who had undergone a CT-scan were more susceptible to readmission. Lower readmissions rates were found in patients with diabetes mellitus or gallstone disease as co-morbidity. While factors like age and severity of the initial disease cannot be influenced to reduce the readmission rate for pancreatitis, variables like alcohol, tobacco and drug abuse can be addressed in outpatient programs to reduce disease recurrence and readmission rates for pancreatitis. Copyright © 2015 IAP and EPC. Published by Elsevier B.V. All rights reserved.

  13. A quality improvement plan to reduce 30-day readmissions of heart failure patients.

    Science.gov (United States)

    Simpson, Monica

    2014-01-01

    An evidence-based quality initiative to decrease heart failure 30-day readmissions was implemented at a hospital in Florida. Heart failure education and postdischarge telephone contact were provided to patients determined to be at high risk of readmission using risk stratification tools. The rate during the project decreased 13% as compared to the same time period in the previous year and 8.5% from the 2012 year to date rate.

  14. A Patient Navigator Intervention to Reduce Hospital Readmissions among High-Risk Safety-Net Patients: A Randomized Controlled Trial.

    Science.gov (United States)

    Balaban, Richard B; Galbraith, Alison A; Burns, Marguerite E; Vialle-Valentin, Catherine E; Larochelle, Marc R; Ross-Degnan, Dennis

    2015-07-01

    Evidence-based interventions to reduce hospital readmissions may not generalize to resource-constrained safety-net hospitals. To determine if an intervention by patient navigators (PNs), hospital-based Community Health Workers, reduces readmissions among high risk, low socioeconomic status patients. Randomized controlled trial. General medicine inpatients having at least one of the following readmission risk factors: (1) age ≥60 years, (2) any in-network inpatient admission within the past 6 months, (3) length of stay ≥3 days, (4) admission diagnosis of heart failure, or (5) chronic obstructive pulmonary disease. The analytic sample included 585 intervention patients and 925 controls. PNs provided coaching and assistance in navigating the transition from hospital to home through hospital visits and weekly telephone outreach, supporting patients for 30 days post-discharge with discharge preparation, medication management, scheduling of follow-up appointments, communication with primary care, and symptom management. The primary outcome was in-network 30-day hospital readmissions. Secondary outcomes included rates of outpatient follow-up. We evaluated outcomes for the entire cohort and stratified by patient age >60 years (425 intervention/584 controls) and ≤60 years (160 intervention/341 controls). Overall, 30-day readmission rates did not differ between intervention and control patients. However, the two age groups demonstrated marked differences. Intervention patients >60 years showed a statistically significant adjusted absolute 4.1% decrease [95% CI: -8.0%, -0.2%] in readmission with an increase in 30-day outpatient follow-up. Intervention patients ≤60 years showed a statistically significant adjusted absolute 11.8% increase [95% CI: 4.4%, 19.0%] in readmission with no change in 30-day outpatient follow-up. A patient navigator intervention among high risk, safety-net patients decreased readmission among older patients while increasing readmissions

  15. Risk factors for frequent readmissions and barriers to transplantation in patients with cirrhosis.

    Directory of Open Access Journals (Sweden)

    Swaytha Ganesh

    Full Text Available Hospital readmission rate is receiving increasing regulatory scrutiny. Patients with cirrhosis have high hospital readmissions rates but the relationship between frequent readmissions and barriers to transplantation remains unexplored. The goal of this study was to determine risk factors for frequent readmissions among patients with cirrhosis and identify barriers to transplantation in this population.We retrospectively reviewed medical records of 587 patients with a confirmed diagnosis of cirrhosis admitted to a large tertiary care center between May 1, 2008 and May 1, 2009. Demographics, clinical factors, and outcomes were recorded. Multivariate logistic regression was performed to identify risk factors for high readmission rates. Transplant-related factors were assessed for patients in the high readmission group.The 587 patients included in the study had 1557 admissions during the study period. A subset of 87 (15% patients with 5 or more admissions accounted for 672 (43% admissions. The factors associated with frequent admissions were non-white race (OR = 2.45, p = 0.01, diabetes (OR = 2.04, p = 0.01, higher Model for End-Stage Liver Disease (MELD score (OR = 35.10, p30 and younger age (OR = 0.98, p = 0.02. Among the 87 patients with ≥5 admissions, only 14 (16% underwent liver transplantation during the study period. Substance abuse, medical co-morbidities, and low (<15 MELD scores were barriers to transplantation in this group.A small group of patients with cirrhosis account for a disproportionately high number of hospital admissions. Interventions targeting this high-risk group may decrease frequent hospital readmissions and increase access to transplantation.

  16. Complications and 30-day hospital readmission rates of patients undergoing tracheostomy: A prospective analysis.

    Science.gov (United States)

    Spataro, Emily; Durakovic, Nedim; Kallogjeri, Dorina; Nussenbaum, Brian

    2017-12-01

    To determine inpatient and outpatient tracheostomy complication rates and 30-day hospital readmission rates, and to assess patient and procedural risk factors associated with complications and readmissions. Prospective cohort study. Adult patients undergoing tracheostomy at a single academic hospital performed by any service, for any indication, were enrolled in this study over the course of 1 year. All patients had complete 30-day follow-up after discharge to determine complication and hospital readmission rates. Logistic regression was used to assess patient and procedural risk factors associated with these events. One hundred patients were enrolled in this study from June 1, 2015, to June 1, 2016. The overall inpatient tracheostomy complication rate was 47% (95% confidence interval [CI], 37%-57%). Inpatient complications were associated with location in the medical intensive care unit and increased length of hospitalization. The outpatient tracheostomy complication rate was 15% (95% CI, 8%-22%). Outpatient complications were associated with having a previous tracheostomy or an awake tracheostomy under local anesthesia. The all-cause 30-day hospital readmission rate was 33% (95% CI, 24%-42%), and the tracheostomy-specific readmission rate was 13% (95% CI, 6%-20%). All-cause readmissions were associated with diabetes, length of hospitalization after tracheostomy, and outpatient complications. The overall mortality rate during the study period was 11% (95% CI, 5%-17%), with one tracheostomy-related death. Patients undergoing tracheostomies are at high risk for both inpatient and outpatient complications, as well for 30-day hospital readmission. Understanding patient and procedural risk factors associated with these events will help guide interventions for quality improvement. 2b. Laryngoscope, 127:2746-2753, 2017. © 2017 The American Laryngological, Rhinological and Otological Society, Inc.

  17. Risk factors for unplanned readmissions in older adult trauma patients in Washington State: a competing risk analysis.

    Science.gov (United States)

    Fawcett, Vanessa J; Flynn-O'Brien, Katherine T; Shorter, Zeynep; Davidson, Giana H; Bulger, Eileen; Rivara, Frederick P; Arbabi, Saman

    2015-03-01

    Hospital readmission is a significant contributor to increasing health care use related to caring for older trauma patients. This study was undertaken with the following aims: determine the proportion of older adult trauma patients who experience unplanned readmission, as well as risk factors for these readmissions and identify the most common readmission diagnoses among these patients. We conducted a retrospective cohort study of trauma patients age 55 years and older who survived their hospitalization at a statewide trauma center between 2009 and 2010. Linking 3 statewide databases, nonelective readmission rates were calculated for 30 days, 6 months, and 1 year after index discharge. Competing risk regression was used to determine risk factors for readmission and account for the competing risk of dying without first being readmitted. Subhazard ratios (SHR) are reported, indicating the relative risk of readmission by 30 days, 6 months, and 1 year. The cumulative readmission rates for the 14,536 participants were 7.9%, 18.9%, and 25.2% at 30 days, 6 months, and 1 year, respectively. In multivariable models, the strongest risk factors for readmission at 1 year (based on magnitude of SHR) were severe head injury (adjusted SHR = 1.47; 95% CI, 1.24-1.73) and disposition to a skilled nursing facility (SHR = 1.54; 95% CI, 1.39-1.71). The diagnoses most commonly associated with readmission were atrial fibrillation, anemia, and congestive heart failure. In this statewide study, unplanned readmissions after older adult trauma occurred frequently up to 1 year after discharge, particularly for patients who sustained severe head trauma and who could not be discharged home independently. Examining common readmission diagnoses might inform the development of interventions to prevent unplanned readmissions. Copyright © 2015 American College of Surgeons. All rights reserved.

  18. The Relationship Between Length of Stay and Readmissions in Bariatric Surgery Patients

    Science.gov (United States)

    Lois, Alex W.; Frelich, Matthew J.; Sahr, Natasha A.; Hohmann, Samuel F.; Wang, Tao; Gould, Jon C.

    2015-01-01

    Background Hospital readmissions are a quality indicator in bariatric surgery. In recent years, length of stay following bariatric surgery has trended down significantly. We hypothesized that a shorter postoperative hospitalization does not increase the likelihood of readmission. Methods The University HealthSystem Consortium (UHC) is an alliance of academic medical centers and affiliated hospitals. The UHC’s clinical database contains information on inpatient stay and returns (readmissions) up to 30 days post-discharge. A multicenter analysis of outcomes was performed using data from the January 2009 to December 2013 for patients 18 years and older. Patients were identified by bariatric procedure ICD-9 codes and restricted by diagnosis codes for morbid obesity. Results A total of 95,294 patients met inclusion criteria. The mean patient age was 45.4 (±0.11) years and 73,941 (77.6%) subjects were female. There were 5,423 (5.7%) readmissions within the study period. Patients with hospitalizations of 3 days and more than 3 days were twice and four times as likely to be readmitted than those with hospitalizations of one day, respectively (pbariatric surgery. Early discharge does not appear to be associated with increased readmission rates. PMID:26032831

  19. Predicting readmission risk of patients with diabetes hospitalized for cardiovascular disease: a retrospective cohort study.

    Science.gov (United States)

    Rubin, Daniel J; Golden, Sherita Hill; McDonnell, Marie E; Zhao, Huaqing

    2017-08-01

    To develop and validate a tool that predicts 30d readmission risk of patients with diabetes hospitalized for cardiovascular disease (CVD), the Diabetes Early Readmission Risk Indicator-CVD (DERRI-CVD™). A cohort of 8189 discharges was retrospectively selected from electronic records of adult patients with diabetes hospitalized for CVD. Discharges of 60% of the patients (n=4950) were randomly selected as a training sample and the remaining 40% (n=3219) were the validation sample. Statistically significant predictors of all-cause 30d readmission risk were identified by multivariable logistic regression modeling: education level, employment status, living within 5miles of the hospital, pre-admission diabetes therapy, macrovascular complications, admission serum creatinine and albumin levels, having a hospital discharge within 90days pre-admission, and a psychiatric diagnosis. Model discrimination and calibration were good (C-statistic 0.71). Performance in the validation sample was comparable. Predicted 30d readmission risk was similar in the training and validation samples (38.6% and 35.1% in the highest quintiles). The DERRI-CVD™ may be a valid tool to predict all-cause 30d readmission risk of patients with diabetes hospitalized for CVD. Identifying high-risk patients may encourage the use of interventions targeting those at greatest risk, potentially leading to better outcomes and lower healthcare costs. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. Patient and clinical characteristics that heighten risk for heart failure readmission.

    Science.gov (United States)

    Bradford, Chad; Shah, Bijal M; Shane, Patricia; Wachi, Nicole; Sahota, Kamalpreet

    2017-11-01

    Within 30 days of hospital discharge, heart failure (HF) readmission rates nationally accumulate to more than 20%. Due to this high rate of unplanned re-hospitalization, predictive models are needed to identify patients who pose the highest readmission risk. To evaluate the diagnosis and timing and to identify patient and clinical characteristics associated with 30 day readmissions among HF patients. A retrospective analysis of electronic health records was conducted to study HF admissions during the period October 2008 to November 2014. Patients with a primary discharge diagnosis consistent with HF were included. Descriptive statistics were used to compare the readmitted and non-readmitted cohorts. Logistic regression was used to develop a predictive model to determine patient and clinical variables associated with 30 day readmission. Characteristics of the study cohort (n = 2420) are: a mean age of 72, predominantly male (55%), white (55%), currently not employed (91%), and utilizing Medicare as a payer (68%). Overall, 42% were married. Over the study time period there were 394 (16.3%) 30 day readmissions after 2420 hospitalizations. The 3 most common reasons for readmission were HF (36.0%), renal disorders (8.4%), and other cardiac diseases (6.9%). Analysis showed that 11.9% of patients readmitted during days 0-3, 15.2% during days 4-7, 31.5% during days 8-15, and 41.4% during days 16-30. The final multivariate predictive model included 5 variables that were associated with an increased risk for 30-day readmission: employment status as retired or disabled, > 1 emergency department visit in the past 90 days, length of stay >5 days during index visit, and a BUN value > 45 mg/dL. This study provides a deeper understanding of patient and clinical characteristics that are associated with readmission in HF. Evaluation of these characteristics will provide additional information to guide strategies meant to reduce HF readmission rates. Copyright © 2016 Elsevier

  1. Systolic Strain Abnormalities to Predict Hospital Readmission in Patients With Heart Failure and Normal Ejection Fraction

    Science.gov (United States)

    Borer, Steven M.; Kokkirala, Aravind; O'Sullivan, David M.; Silverman, David I.

    2011-01-01

    Background Despite intensive investigation, the pathogenesis of heart failure with normal ejection fraction (HFNEF) remains unclear. We hypothesized that subtle abnormalities of systolic function might play a role, and that abnormal systolic strain and strain rate would provide a marker for adverse outcomes. Methods Patients of new CHF and left ventricular ejection fraction > 50% were included. Exclusion criteria were recent myocardial infarction, severe valvular heart disease, severe left ventricular hypertrophy (septum >1.8 cm), or a technically insufficient echocardiogram. Average peak systolic strain and strain rate were measured using an off-line grey scale imaging technique. Systolic strain and strain rate for readmitted patients were compared with those who remained readmission-free. Results One hundred consecutive patients with a 1st admission for HFNEF from January 1, 2004 through December 31, 2007, inclusive, were analyzed. Fifty two patients were readmitted with a primary diagnosis of heart failure. Systolic strain and strain rates were reduced in both study groups compared to controls. However, systolic strain did not differ significantly between the two groups (-11.7% for those readmitted compared with -12.9% for those free from readmission, P = 0.198) and systolic strain rates also were similar (-1.05 s-1 versus -1.09 s-1, P = 0.545). E/e’ was significantly higher in readmitted patients compared with those who remained free from readmission (14.5 versus 11.0, P = 0.013). E/e’ (OR 1.189, 95% CI 1.026-1.378; P = 0.021) was found to be an independent predictor for HFNEF readmission. Conclusions Among patients with new onset HFNEF, SS and SR rates are reduced compared with patients free of HFNEF, but do not predict hospital readmission. Elevated E/e’ is a predictor of readmission in these patients. PMID:28352395

  2. Operative variables are better predictors of postdischarge infections and unplanned readmissions in vascular surgery patients than patient characteristics.

    Science.gov (United States)

    Hicks, Caitlin W; Bronsert, Michael; Hammermeister, Karl E; Henderson, William G; Gibula, Douglas R; Black, James H; Glebova, Natalia O

    2017-04-01

    Although postoperative readmissions are frequent in vascular surgery patients, the reasons for these readmissions are not well characterized, and effective approaches to their reduction are unknown. Our aim was to analyze the reasons for vascular surgery readmissions and to report potential areas for focused efforts aimed at readmission reduction. The 2012 to 2013 American College of Surgeons National Quality Improvement Program (ACS NSQIP) data set was queried for vascular surgery patients. Multivariable models were developed to analyze risk factors for postdischarge infections, the major drivers of unplanned 30-day readmissions. We identified 86,403 vascular surgery patients for analysis. Thirty-day readmission occurred in 8827 (10%), of which 8054 (91%) were unplanned. Of the unplanned readmissions, 61% (n = 4951) were related to the index vascular surgery procedure. Infectious complications were the most common reason for a surgery-related readmission (1940 [39%]), with surgical site infection being the most common type of infection related to unplanned readmission. Multivariable analysis showed the top five preoperative risk factors for postdischarge infections were the presence of a preoperative open wound, inpatient operation, obesity, work relative value unit, and insulin-dependent diabetes (but not diabetes managed with oral medications). Cigarette smoking was a weak predictor and came in tenth in the mode (overall C index, 0.657). When operative and postoperative factors were included in the model, total operative time was the strongest predictor of postdischarge infectious complications (odds ratio [OR] 1.2 for each 1-hour increase in operative time), followed by presence of a preoperative open wound (OR, 1.5), inpatient operation (OR, 2), obesity (OR, 1.8), and discharge to rehabilitation facility (OR, 1.7; P model was fair (C statistic, 0.686). Infectious complications dominate the reasons for unplanned 30-day readmissions in vascular surgery

  3. Travel distance influences readmissions in colorectal cancer patients-what the primary operative team needs to know.

    Science.gov (United States)

    Kelley, Katherine A; Young, J Isaac; Bassale, Solange; Herzig, Daniel O; Martindale, Robert G; Sheppard, Brett C; Lu, Kim C; Tsikitis, V Liana

    2018-07-01

    Many colorectal cancer patients receive complex surgical care remotely. We hypothesized that their readmission rates would be adversely affected after accounting for differences in travel distance from primary/index hospital and correlate with mortality. We identified 48,481 colorectal cancer patients in the Surveillance, Epidemiology and End Results (SEER)-Medicare database. Travel distance was calculated, using Google Maps, and SAS. Multivariate negative binomial regression was used to identify factors associated with readmission rates. Overall survival was analyzed, using Kaplan-Meier and Cox proportional hazard. Thirty-day readmissions occurred in 14.9% of the cohort, 27.5% of which were to a nonindex hospital. In the colon and rectal cancer cohorts, readmissions were 14.5% and 16.5%, respectively. Rectal cancer patients had an increase in readmission by 13% (incidence rate ratios [IRR] 1.13; 95% confidence interval [CI] 1.05-1.21). Factors associated with readmission were male gender, advanced disease, length of stay (LOS), discharge disposition, hospital volume, Charlson score, and poverty level (P < 0.05). Greater distance traveled increased the likelihood of readmission but did not affect mortality. Travel distance influences readmission rates but not mortality. Discharge readiness to decrease readmissions is essential for colorectal cancer patients discharged from index hospitals. Copyright © 2018 Elsevier Inc. All rights reserved.

  4. Risk factors for readmission to hospital in adult patients with heart failure and reduced ejection fraction

    DEFF Research Database (Denmark)

    Schjødt, Inge; Larsen, Palle; Johnsen, Søren Paaske

    2017-01-01

    REVIEW QUESTION/OBJECTIVE:: The objective of this systematic review is to identify and synthesize the best available evidence on risk factors associated with hospital readmission at different time points within the first year after heart failure (HF) hospitalization in patients suffering from HF...... with reduced ejection fraction (EF).More specifically, the question is: what are the risk factors for the prediction of hospital readmission within seven, 15, 30, 60, 90, 180 and 365 days of discharge in hospitalized patients with HF with reduced EF aged 18 years or older?...

  5. Thirty-Day Readmission Among Patients With Non-variceal Upper Gastrointestinal Hemorrhage and Effects on Outcomes.

    Science.gov (United States)

    Abougergi, Marwan S; Peluso, Heather; Saltzman, John R

    2018-03-28

    We aimed to determine the rate of hospital readmission within 30 days of non-variceal upper gastrointestinal hemorrhage and its impact on mortality, morbidity, and health care use in the United States. We performed a retrospective study using the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project Nationwide Readmission Database for the year 2014 (data on 14.9 million hospital stays at 2048 hospitals in 22 states). We collected data on hospital readmissions of 203,220 adults who were hospitalized for urgent non-variceal upper gastrointestinal hemorrhage and discharged. The primary outcome was rate of all-cause readmission within 30 days of discharge. Secondary outcomes were reasons for readmission, readmission mortality rate, morbidity (shock and prolonged mechanical ventilation) and resource use (length of stay and total hospitalization costs and charges). Independent risk factors for readmission were identified using Cox regression analysis. The 30-day rate of readmission was 13%. Only 18% of readmissions were due to recurrent non-variceal upper gastrointestinal bleeding. The rate of death among patients readmitted to the hospital (4.7%) was higher than that for index admissions (1.9%) (P upper endoscopy, and prolonged mechanical ventilation were associated with lower odds for readmission. In a retrospective study of patients hospitalized for non-variceal upper gastrointestinal hemorrhage, 13% are readmitted to the hospital within 30 days of discharge. Readmission is associated with higher mortality, morbidity, and resource use. Most readmissions are not for recurrent gastrointestinal bleeding. Copyright © 2018 AGA Institute. Published by Elsevier Inc. All rights reserved.

  6. Factors Predictive of 90-Day Morbidity, Readmission, and Costs in Patients Undergoing Pelvic Exenteration.

    Science.gov (United States)

    Bogani, Giorgio; Signorelli, Mauro; Ditto, Antonino; Martinelli, Fabio; Casarin, Jvan; Mosca, Lavinia; Leone Roberti Maggiore, Umberto; Chiappa, Valentina; Lorusso, Domenica; Raspagliesi, Francesco

    2018-06-01

    Pelvic exenteration for recurrent gynecological malignancies is characterized by a high rate of severe complications. Factors predictive of morbidity, readmission, and cost were analyzed. Data of consecutive patients undergoing pelvic exenteration between January 2007 and December 2016 were prospectively evaluated. Fifty-eight patients were included in the analysis. Anterior, posterior, and total exenterations were executed in 39 (67%), 9 (16%), and 10 (17%) patients, respectively. Ten (15.5%) severe complications occurred: 8 (20.5%), 0 (0%), and 1 (10%) after anterior, posterior, and total exenterations, respectively. Radiotherapy dosage, time between radiotherapy and surgery, and previous administration of chemotherapy did not influence 90-day complications and readmission. At multivariable analysis, albumin levels less than 3.5 g/dL (odds ratio, 16.2 [95% confidence interval, 2.85-92.8]; P = 0.002) and history of deep vein thrombosis (odds ratio, 9.6 [95% confidence interval, 0.93-98.2]; P = 0.057) were associated with 90-day morbidity. Low albumin levels independently correlated with readmission (P = 0.011). The occurrence of 90-day postoperative complications and readmission increased costs of a median of +12,500 and +6000 euros, respectively (P < 0.05). Preoperative patient selection is a key point for the reduction of postoperative complications after pelvic exenteration. Further prospective studies are warranted to improve patient selection.

  7. A Predictive Model for Readmissions Among Medicare Patients in a California Hospital.

    Science.gov (United States)

    Duncan, Ian; Huynh, Nhan

    2017-11-17

    Predictive models for hospital readmission rates are in high demand because of the Centers for Medicare & Medicaid Services (CMS) Hospital Readmission Reduction Program (HRRP). The LACE index is one of the most popular predictive tools among hospitals in the United States. The LACE index is a simple tool with 4 parameters: Length of stay, Acuity of admission, Comorbidity, and Emergency visits in the previous 6 months. The authors applied logistic regression to develop a predictive model for a medium-sized not-for-profit community hospital in California using patient-level data with more specific patient information (including 13 explanatory variables). Specifically, the logistic regression is applied to 2 populations: a general population including all patients and the specific group of patients targeted by the CMS penalty (characterized as ages 65 or older with select conditions). The 2 resulting logistic regression models have a higher sensitivity rate compared to the sensitivity of the LACE index. The C statistic values of the model applied to both populations demonstrate moderate levels of predictive power. The authors also build an economic model to demonstrate the potential financial impact of the use of the model for targeting high-risk patients in a sample hospital and demonstrate that, on balance, whether the hospital gains or loses from reducing readmissions depends on its margin and the extent of its readmission penalties.

  8. Which Clinical and Patient Factors Influence the National Economic Burden of Hospital Readmissions After Total Joint Arthroplasty?

    Science.gov (United States)

    Kurtz, Steven M; Lau, Edmund C; Ong, Kevin L; Adler, Edward M; Kolisek, Frank R; Manley, Michael T

    2017-12-01

    The Affordable Care Act of 2010 advanced the economic model of bundled payments for total joint arthroplasty (TJA), in which hospitals will be financially responsible for readmissions, typically at 90 days after surgery. However, little is known about the financial burden of readmissions and what patient, clinical, and hospital factors drive readmission costs. (1) What is the incidence, payer mix, and demographics of THA and TKA readmissions in the United States? (2) What patient, clinical, and hospital factors are associated with the cost of 30- and 90-day readmissions after primary THA and TKA? (3) Are there any differences in the economic burden of THA and TKA readmissions between payers? (4) What types of THA and TKA readmissions are most costly to the US hospital system? The recently developed Nationwide Readmissions Database from the Healthcare Cost and Utilization Project (2006 hospitals from 21 states) was used to identify 719,394 primary TJAs and 62,493 90-day readmissions in the first 9 months of 2013 based on International Classification of Diseases, 9th Revision, Clinical Modification codes. We classified the reasons for readmissions as either procedure- or medical-related. Cost-to-charge ratios supplied with the Nationwide Readmissions Database were used to compute the individual per-patient cost of 90-day readmissions as a continuous variable in separate general linear models for THA and TKA. Payer, patient, clinical, and hospital factors were treated as covariates. We estimated the national burden of readmissions by payer and by the reason for readmission. The national rates of 30- and 90-day readmissions after THA were 4% (95% confidence interval [CI], 4.2%-4.5%) and 8% (95% CI, 7.5%-8.1%), respectively. The national rates of 30- and 90-day readmissions after primary TKA were 4% (95% CI, 3.8%-4.0%) and 7% (95% CI, 6.8%-7.2%), respectively. The five most important variables responsible for the cost of 90-day THA readmissions (in rank order, based

  9. Predictors for readmission risk of new patients : the Nordic Comparative Study on Sectorized Psychiatry

    NARCIS (Netherlands)

    Oiesvold, T; Saarento, O; Sytema, S; Vinding, H; Gostas, G; Lonnerberg, O; Muus, S; Sandlund, M; Hansson, L

    Objective: Predictors for readmission risk were investigated in this study, which forms part of the Nordic Comparative Study on Sectorized Psychiatry. Method: Included were a total of 837 consecutive 'new' patients (not in contact with the psychiatric services for at least 18 months) admitted to

  10. Unplanned Readmission in Outpatient Hand Surgery: An Analysis of 23,613 Patients in the NSQIP Data Set.

    Science.gov (United States)

    Donato, Daniel P; Kwok, Alvin C; Bishop, Michael O; Presson, Angela P; Agarwal, Jayant P

    2017-01-01

    Objective: In an era of controlling cost and improving care, 30-day readmission rates have become an important quality measure. The purpose of this study was to identify the rates of 30-day unplanned readmission and the associated risk factors in patients undergoing outpatient hand surgery. Methods: The 2011-2014 National Surgical Quality Improvement Project data were queried for patients who met 368 hand-specific Current Procedural Terminology codes. Univariable and multivariable analyses were performed to identify patient- and surgery-specific risk factors associated with unplanned readmission within 30 days. Results: Of the 368 Current Procedural Terminology codes queried, 208 were represented in the data, for a total of 23,613 patients. The overall unplanned readmission rate was 0.88% (207/23,613). On both univariable and multivariable analyses, operative year (2012), increasing age, obesity, smoking status, chronic obstructive pulmonary disease, preoperative steroid use, preoperative anemia, increasing American Society of Anesthesiologists classification, increasing operative time, and a procedure performed by a surgeon other than a plastic or orthopedic surgeon were associated with increased readmission rates. Diabetes, hypertension, low albumin levels, elevated international normalized ratio, and dirty/infected wound classification were only significant in univariable analysis. Current Procedural Terminology codes associated with the highest readmission rates were related to amputations. The most common readmission diagnoses were wound complications, followed by uncontrolled postoperative pain. Conclusions: The incidence of unplanned readmission is low in patients undergoing outpatient hand surgery. Specific patient comorbidities are associated with increased unplanned readmission rates. This information may be useful in identifying patients at higher risk for unplanned readmission and in counseling of high-risk patients preparing for surgery.

  11. Can Predictive Modeling Identify Head and Neck Oncology Patients at Risk for Readmission?

    Science.gov (United States)

    Manning, Amy M; Casper, Keith A; Peter, Kay St; Wilson, Keith M; Mark, Jonathan R; Collar, Ryan M

    2018-05-01

    Objective Unplanned readmission within 30 days is a contributor to health care costs in the United States. The use of predictive modeling during hospitalization to identify patients at risk for readmission offers a novel approach to quality improvement and cost reduction. Study Design Two-phase study including retrospective analysis of prospectively collected data followed by prospective longitudinal study. Setting Tertiary academic medical center. Subjects and Methods Prospectively collected data for patients undergoing surgical treatment for head and neck cancer from January 2013 to January 2015 were used to build predictive models for readmission within 30 days of discharge using logistic regression, classification and regression tree (CART) analysis, and random forests. One model (logistic regression) was then placed prospectively into the discharge workflow from March 2016 to May 2016 to determine the model's ability to predict which patients would be readmitted within 30 days. Results In total, 174 admissions had descriptive data. Thirty-two were excluded due to incomplete data. Logistic regression, CART, and random forest predictive models were constructed using the remaining 142 admissions. When applied to 106 consecutive prospective head and neck oncology patients at the time of discharge, the logistic regression model predicted readmissions with a specificity of 94%, a sensitivity of 47%, a negative predictive value of 90%, and a positive predictive value of 62% (odds ratio, 14.9; 95% confidence interval, 4.02-55.45). Conclusion Prospectively collected head and neck cancer databases can be used to develop predictive models that can accurately predict which patients will be readmitted. This offers valuable support for quality improvement initiatives and readmission-related cost reduction in head and neck cancer care.

  12. Predicting hospital mortality among frequently readmitted patients: HSMR biased by readmission

    Directory of Open Access Journals (Sweden)

    Kelder Johannes C

    2011-03-01

    Full Text Available Abstract Background Casemix adjusted in-hospital mortality is one of the measures used to improve quality of care. The adjustment currently used does not take into account the effects of readmission, because reliable data on readmission is not readily available through routinely collected databases. We have studied the impact of readmissions by linking admissions of the same patient, and as a result were able to compare hospital mortality among frequently, as opposed to, non-frequently readmitted patients. We also formulated a method to adjust for readmission for the calculation of hospital standardised mortality ratios (HSMRs. Methods We conducted a longitudinal retrospective analysis of routinely collected hospital data of six large non-university teaching hospitals in the Netherlands with casemix adjusted standardised mortality ratios ranging from 65 to 114 and a combined value of 93 over a five-year period. Participants concerned 240662 patients admitted 418566 times in total during the years 2003 - 2007. Predicted deaths by the HSMR model 2008 over a five-year period were compared with observed deaths. Results Numbers of readmissions per patient differ substantially between the six hospitals, up to a factor of 2. A large interaction was found between numbers of admissions per patient and HSMR-predicted risks. Observed deaths for frequently admitted patients were significantly lower than HSMR-predicted deaths, which could be explained by uncorrected factors surrounding readmissions. Conclusions Patients admitted more frequently show lower risks of dying on average per admission. This decline in risk is only partly detected by the current HSMR. Comparing frequently admitted patients to non-frequently admitted patients commits the constant risk fallacy and potentially lowers HSMRs of hospitals treating many frequently admitted patients and increases HSMRs of hospitals treating many non-frequently admitted patients. This misleading effect can

  13. Predicting hospital mortality among frequently readmitted patients: HSMR biased by readmission

    Science.gov (United States)

    2011-01-01

    Background Casemix adjusted in-hospital mortality is one of the measures used to improve quality of care. The adjustment currently used does not take into account the effects of readmission, because reliable data on readmission is not readily available through routinely collected databases. We have studied the impact of readmissions by linking admissions of the same patient, and as a result were able to compare hospital mortality among frequently, as opposed to, non-frequently readmitted patients. We also formulated a method to adjust for readmission for the calculation of hospital standardised mortality ratios (HSMRs). Methods We conducted a longitudinal retrospective analysis of routinely collected hospital data of six large non-university teaching hospitals in the Netherlands with casemix adjusted standardised mortality ratios ranging from 65 to 114 and a combined value of 93 over a five-year period. Participants concerned 240662 patients admitted 418566 times in total during the years 2003 - 2007. Predicted deaths by the HSMR model 2008 over a five-year period were compared with observed deaths. Results Numbers of readmissions per patient differ substantially between the six hospitals, up to a factor of 2. A large interaction was found between numbers of admissions per patient and HSMR-predicted risks. Observed deaths for frequently admitted patients were significantly lower than HSMR-predicted deaths, which could be explained by uncorrected factors surrounding readmissions. Conclusions Patients admitted more frequently show lower risks of dying on average per admission. This decline in risk is only partly detected by the current HSMR. Comparing frequently admitted patients to non-frequently admitted patients commits the constant risk fallacy and potentially lowers HSMRs of hospitals treating many frequently admitted patients and increases HSMRs of hospitals treating many non-frequently admitted patients. This misleading effect can only be demonstrated by an

  14. Testosterone Deficiency Increases Hospital Readmission and Mortality Rates in Male Patients with Heart Failure

    International Nuclear Information System (INIS)

    Santos, Marcelo Rodrigues dos; Sayegh, Ana Luiza Carrari; Groehs, Raphaela Vilar Ramalho; Fonseca, Guilherme; Trombetta, Ivani Credidio; Barretto, Antônio Carlos Pereira; Arap, Marco Antônio; Negrão, Carlos Eduardo; Middlekauff, Holly R.; Alves, Maria-Janieire de Nazaré Nunes

    2015-01-01

    Testosterone deficiency in patients with heart failure (HF) is associated with decreased exercise capacity and mortality; however, its impact on hospital readmission rate is uncertain. Furthermore, the relationship between testosterone deficiency and sympathetic activation is unknown. We investigated the role of testosterone level on hospital readmission and mortality rates as well as sympathetic nerve activity in patients with HF. Total testosterone (TT) and free testosterone (FT) were measured in 110 hospitalized male patients with a left ventricular ejection fraction < 45% and New York Heart Association classification IV. The patients were placed into low testosterone (LT; n = 66) and normal testosterone (NT; n = 44) groups. Hypogonadism was defined as TT < 300 ng/dL and FT < 131 pmol/L. Muscle sympathetic nerve activity (MSNA) was recorded by microneurography in a subpopulation of 27 patients. Length of hospital stay was longer in the LT group compared to in the NT group (37 ± 4 vs. 25 ± 4 days; p = 0.008). Similarly, the cumulative hazard of readmission within 1 year was greater in the LT group compared to in the NT group (44% vs. 22%, p = 0.001). In the single-predictor analysis, TT (hazard ratio [HR], 2.77; 95% confidence interval [CI], 1.58–4.85; p = 0.02) predicted hospital readmission within 90 days. In addition, TT (HR, 4.65; 95% CI, 2.67–8.10; p = 0.009) and readmission within 90 days (HR, 3.27; 95% CI, 1.23–8.69; p = 0.02) predicted increased mortality. Neurohumoral activation, as estimated by MSNA, was significantly higher in the LT group compared to in the NT group (65 ± 3 vs. 51 ± 4 bursts/100 heart beats; p < 0.001). These results support the concept that LT is an independent risk factor for hospital readmission within 90 days and increased mortality in patients with HF. Furthermore, increased MSNA was observed in patients with LT

  15. Testosterone Deficiency Increases Hospital Readmission and Mortality Rates in Male Patients with Heart Failure

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Marcelo Rodrigues dos; Sayegh, Ana Luiza Carrari; Groehs, Raphaela Vilar Ramalho; Fonseca, Guilherme [Instituto do Coração (InCor) - Faculdade de Medicina da Universidade de São Paulo (Brazil); Trombetta, Ivani Credidio [Instituto do Coração (InCor) - Faculdade de Medicina da Universidade de São Paulo (Brazil); Universidade Nove de Julho (UNINOVE) (Brazil); Barretto, Antônio Carlos Pereira [Instituto do Coração (InCor) - Faculdade de Medicina da Universidade de São Paulo (Brazil); Arap, Marco Antônio [Faculdade de medicina da Universidade de São Paulo - Urologia (Brazil); Negrão, Carlos Eduardo [Instituto do Coração (InCor) - Faculdade de Medicina da Universidade de São Paulo (Brazil); Escola de Educação Física e Esporte da Universidade de São Paulo, São Paulo, SP (Brazil); Middlekauff, Holly R. [Division of Cardiology - David Geffen School of Medicine - University of California (United States); Alves, Maria-Janieire de Nazaré Nunes, E-mail: janieire.alves@incor.usp.br [Instituto do Coração (InCor) - Faculdade de Medicina da Universidade de São Paulo (Brazil)

    2015-09-15

    Testosterone deficiency in patients with heart failure (HF) is associated with decreased exercise capacity and mortality; however, its impact on hospital readmission rate is uncertain. Furthermore, the relationship between testosterone deficiency and sympathetic activation is unknown. We investigated the role of testosterone level on hospital readmission and mortality rates as well as sympathetic nerve activity in patients with HF. Total testosterone (TT) and free testosterone (FT) were measured in 110 hospitalized male patients with a left ventricular ejection fraction < 45% and New York Heart Association classification IV. The patients were placed into low testosterone (LT; n = 66) and normal testosterone (NT; n = 44) groups. Hypogonadism was defined as TT < 300 ng/dL and FT < 131 pmol/L. Muscle sympathetic nerve activity (MSNA) was recorded by microneurography in a subpopulation of 27 patients. Length of hospital stay was longer in the LT group compared to in the NT group (37 ± 4 vs. 25 ± 4 days; p = 0.008). Similarly, the cumulative hazard of readmission within 1 year was greater in the LT group compared to in the NT group (44% vs. 22%, p = 0.001). In the single-predictor analysis, TT (hazard ratio [HR], 2.77; 95% confidence interval [CI], 1.58–4.85; p = 0.02) predicted hospital readmission within 90 days. In addition, TT (HR, 4.65; 95% CI, 2.67–8.10; p = 0.009) and readmission within 90 days (HR, 3.27; 95% CI, 1.23–8.69; p = 0.02) predicted increased mortality. Neurohumoral activation, as estimated by MSNA, was significantly higher in the LT group compared to in the NT group (65 ± 3 vs. 51 ± 4 bursts/100 heart beats; p < 0.001). These results support the concept that LT is an independent risk factor for hospital readmission within 90 days and increased mortality in patients with HF. Furthermore, increased MSNA was observed in patients with LT.

  16. Testosterone Deficiency Increases Hospital Readmission and Mortality Rates in Male Patients with Heart Failure

    Directory of Open Access Journals (Sweden)

    Marcelo Rodrigues dos Santos

    2015-01-01

    Full Text Available Background: Testosterone deficiency in patients with heart failure (HF is associated with decreased exercise capacity and mortality; however, its impact on hospital readmission rate is uncertain. Furthermore, the relationship between testosterone deficiency and sympathetic activation is unknown. Objective: We investigated the role of testosterone level on hospital readmission and mortality rates as well as sympathetic nerve activity in patients with HF. Methods: Total testosterone (TT and free testosterone (FT were measured in 110 hospitalized male patients with a left ventricular ejection fraction < 45% and New York Heart Association classification IV. The patients were placed into low testosterone (LT; n = 66 and normal testosterone (NT; n = 44 groups. Hypogonadism was defined as TT < 300 ng/dL and FT < 131 pmol/L. Muscle sympathetic nerve activity (MSNA was recorded by microneurography in a subpopulation of 27 patients. Results: Length of hospital stay was longer in the LT group compared to in the NT group (37 ± 4 vs. 25 ± 4 days; p = 0.008. Similarly, the cumulative hazard of readmission within 1 year was greater in the LT group compared to in the NT group (44% vs. 22%, p = 0.001. In the single-predictor analysis, TT (hazard ratio [HR], 2.77; 95% confidence interval [CI], 1.58–4.85; p = 0.02 predicted hospital readmission within 90 days. In addition, TT (HR, 4.65; 95% CI, 2.67–8.10; p = 0.009 and readmission within 90 days (HR, 3.27; 95% CI, 1.23–8.69; p = 0.02 predicted increased mortality. Neurohumoral activation, as estimated by MSNA, was significantly higher in the LT group compared to in the NT group (65 ± 3 vs. 51 ± 4 bursts/100 heart beats; p < 0.001. Conclusion: These results support the concept that LT is an independent risk factor for hospital readmission within 90 days and increased mortality in patients with HF. Furthermore, increased MSNA was observed in patients with LT.

  17. Predictors of all-cause 30 day readmission among Medicare patients with type 2 diabetes.

    Science.gov (United States)

    Collins, Jenna; Abbass, Ibrahim M; Harvey, Raymond; Suehs, Brandon; Uribe, Claudia; Bouchard, Jonathan; Prewitt, Todd; DeLuzio, Tony; Allen, Elsie

    2017-08-01

    Readmission is costly among patients with type 2 diabetes (T2DM) in Medicare Advantage Prescription Drug Plans; identifying high-risk patients is necessary for targeting reduction programs. The objective of this study was to develop a claims-based algorithm to predict all-cause 30 day readmission among patients with T2DM. This study used administrative data from 1 January 2012 through 31 January 2014. The cohort included hospitalized T2DM patients, aged 18-90 with ≥12 months' continuous enrollment before an unplanned hospital admission and ≥1 month of enrollment post-discharge, excluding patients in long-term care >30 days pre-index. Multivariate logistic regression predicted the likelihood of readmission following hospitalization in 2013. The analytic file was randomly split into training and test datasets to build and validate the model. Candidate variables included physician and patient demographics, baseline clinical conditions, and healthcare utilization metrics. Clinical conditions were classified using the Healthcare Cost and Utilization Project clinical classification system for ICD-9-CM. Of 63,237 individuals, 17.1% experienced a readmission. Of nearly 200 candidate variables, 14 were predictors of readmission, including total cumulative number of days for inpatient stays and the number of emergency department visits in the baseline period. Male gender, older age, and certain comorbidities were associated with higher likelihood of readmission. The final model demonstrated good discriminant ability (c-statistic = 0.82). This study provided evidence that certain patient characteristics and healthcare utilization are predictive of readmission. An algorithm with good discriminant ability was developed which could be used to target readmission reduction programs. Physician gender, specialty, and ownership status did not appear to influence the likelihood of readmission.

  18. Discharge Medication Counseling and its Correlation with Reducing Readmissions for Patients with Chronic Obstructive Pulmonary Disease Exacerbations

    Directory of Open Access Journals (Sweden)

    Emily M. Laswell

    2015-01-01

    Full Text Available Objective: To determine the impact of pharmacist-provided discharge medication counseling on 30 and 90 day hospital readmissions and ED visits in patients admitted with COPD exacerbation. Methods: A hospital-wide improvement was initiated, where COPD patients received discharge medication counseling and follow up phone call by a pharmacist. A pilot study was implemented, and data on readmission rates at 30- and 90-days were collected and compared to a hand-matched, retrospective control group that had not received discharge counseling by a pharmacist. Differences in readmission rates were analyzed using Chi-squared tests. Results: A total of 28 patients received discharge counseling by the pharmacist and were compared to 28 retrospective patients. Differences in 30-day and 90-day readmission rates were not significant (p=1.000 and p=0.589, respectively. After thirty days, 7 (25% intervention and 7 (25% retrospective group patients had been readmitted. After ninety days, 11 (39.3% intervention and 13 (46.4% non-intervention patients had been readmitted. Since a small cohort of patients received discharge counseling, the study did not meet power. Conclusions: Although not statistically significant, patients who received discharge medication counseling provided by a pharmacist had lower 90-day readmission rates post discharge. As regulations are implemented that penalize hospitals for readmissions that occur within 30 days of discharge, it is imperative that health care systems develop new strategies aimed at reducing readmission rates. Further studies that are adequately powered are needed to assess the impact pharmacists can have on readmission rates.   Type: Original Research

  19. Incidence and cost analysis of hospital admission and 30‐day readmission among patients with cirrhosis

    Science.gov (United States)

    Chirapongsathorn, Sakkarin; Krittanawong, Chayakrit; Enders, Felicity T.; Pendegraft, Richard; Mara, Kristin C.; Borah, Bijan J.; Visscher, Sue L.; Loftus, Conor G.; Shah, Vijay H.; Talwalkar, Jayant A.

    2018-01-01

    We examined risks for first hospitalization and the rate, risk factors, costs, and 1‐year outcome of 30‐day readmission among patients admitted for complications of cirrhosis. Data were retrospectively analyzed for adult patients with cirrhosis residing in Minnesota, Iowa, or Wisconsin and admitted from 2010 through 2013 at both campuses of the Mayo Clinic Hospital in Rochester, MN. Readmission was captured at the two hospitals as well as at community hospitals in the tristate area within the Mayo Clinic Health System. The incidence of hospitalization for complications of cirrhosis was 100/100,000 population, with increasing age and male sex being the strongest risks for hospitalization. For the 2,048 hospitalized study patients, the overall 30‐day readmission rate was 32%; 498 (24.3%) patients were readmitted to Mayo Clinic hospitals and 157 (7.7%) to community hospitals, mainly for complications of portal hypertension (52%) and infections (30%). Readmission could not be predicted accurately. There were 146 deaths during readmission and an additional 105 deaths up to 1 year of follow‐up (50.4% total mortality). Annual postindex hospitalization costs for those with a 30‐day readmission were substantially higher ($73,252) than those readmitted beyond 30 days ($62,053) or those not readmitted ($5,719). At 1‐year follow‐up, only 20.4% of patients readmitted within 30 days were at home. In conclusion, patients with cirrhosis have high rates of hospitalization, especially among men over 65 years, and of unscheduled 30‐day readmission. Readmission cannot be accurately predicted. Postindex hospitalization costs are high; nationally, the annual costs are estimated to be more than $4.45 billion. Only 20% of patients readmitted within 30 days are home at 1 year. (Hepatology Communications 2018;2:188–198) PMID:29404526

  20. Risk factors for readmission to hospital in patients with tuberculosis in Tehran, Iran: three-year surveillance.

    Science.gov (United States)

    Shamaei, Masoud; Samiei-Nejad, Mozhgan; Nadernejad, Masoumeh; Baghaei, Parvaneh

    2017-10-01

    Tuberculosis (TB) is still a major health problem and TB hospital readmission could increase health system costs. In a retrospective study in a tertiary referral hospital for TB in Tehran, Iran, TB patients with readmission were evaluated. These TB patients in the index year who were then readmitted were compared with TB patients in the same year who were not readmitted during the follow-up period. One hundred and forty-six patients had hospital readmission within three-year follow-up with mean age of 51.6 years old of whom 78 patients (53.5%) were men. Univariate analysis revealed married status, smoking, opium smoking, and medical comorbidities (chronic obstructive pulmonary disease [COPD], hypertension, and human immunodeficiency virus [HIV] infection) as risk factors. Final logistic regression model revealed married status and smoking values of (0.478 odds ratio [OR], 0.310-0.737; 95% confidence interval [CI], P = 0.001) and (1.932 OR, 1.269-2.941; 95% CI, P = 0.002), respectively. Readmission predicted probability was 37% for married patients and 31% for active smokers. The most common medical comorbidities in the first readmission were COPD and HIV infection. Dyspnea and anti-TB drug-induced hepatitis were a common cause of early readmission, while failure and default of treatment were more frequent causes of late readmission. Admission and discharge guidelines, outpatient follow-up, and smoking cessation intervention were proposed as important factors in decreasing the readmission rate.

  1. Effects of Physician Volume on Readmission and Mortality in Elderly Patients with Heart Failure: Nationwide Cohort Study.

    Science.gov (United States)

    Lee, Joo Eun; Park, Eun Cheol; Jang, Suk Yong; Lee, Sang Ah; Choy, Yoon Soo; Kim, Tae Hyun

    2018-03-01

    Readmission and mortality rates of patients with heart failure are good indicators of care quality. To determine whether hospital resources are associated with care quality for cardiac patients, we analyzed the effect of number of physicians and the combined effects of number of physicians and beds on 30-day readmission and 1-year mortality. We used national cohort sample data of the National Health Insurance Service (NHIS) claims in 2002-2013. Subjects comprised 2345 inpatients (age: >65 years) admitted to acute-care hospitals for heart failure. A multivariate Cox regression was used. Of the 2345 patients hospitalized with heart failure, 812 inpatients (34.6%) were readmitted within 30 days and 190 (8.1%) had died within a year. Heart-failure patients treated at hospitals with low physician volumes had higher readmission and mortality rates than high physician volumes [30-day readmission: hazard ratio (HR)=1.291, 95% confidence interval (CI)=1.020-1.633; 1-year mortality: HR=2.168, 95% CI=1.415-3.321]. Patients admitted to hospitals with low or middle bed and physician volume had higher 30-day readmission and 1-year mortality rates than those admitted to hospitals with high volume (30-day readmission: HR=2.812, 95% CI=1.561-5.066 for middle-volume beds & low-volume physicians, 1-year mortality: HR=8.638, 95% CI=2.072-36.02 for middle-volume beds & low-volume physicians). Physician volume is related to lower readmission and mortality for heart failure. Of interest, 30-day readmission and 1-year mortality were significantly associated with the combined effects of physician and institution bed volume. © Copyright: Yonsei University College of Medicine 2018

  2. The association between number of doctors per bed and readmission of elderly patients with pneumonia in South Korea.

    Science.gov (United States)

    Lee, Joo Eun; Kim, Tae Hyun; Cho, Kyoung Hee; Han, Kyu-Tae; Park, Eun-Cheol

    2017-06-08

    There is an urgent need to reduce readmission of patients with pneumonia and improve quality of care. To assess the association between hospital resources and quality of care, we examined the effect of number of doctors per bed on 30-day readmission and investigated the combined effect of number of doctors per bed and number of beds. We used nationwide cohort sample data of health insurance claims by the National Health Insurance Service (NHIS) from 2002 to 2013. Pneumonia admissions to acute care hospitals among 7446 inpatients older than 65 were examined. We conducted a multivariate Cox proportional hazard model to analyze the association between the number of doctors per bed and 30-day readmission, as well as that of pneumonia-specific 30-day readmission with the combined effects of number of doctors per bed and number of beds. Overall, 1421 (19.1%) patients were readmitted within 30 days and 756 (11.2%) patients were readmitted for pneumonia within 30 days. Patients with pneumonia treated by very low or low number of doctors per bed showed higher readmission (pneumonia-specific readmission: hazard ratio [HR] = 1. 406, 95% confidence interval [CI] = 1.072-1.843 for low number of doctors per bed; all-cause readmissions: HR = 1.276, 95% CI = 1.026-1.587 for very low number of doctors per bed, and HR = 1.280, 95% CI = 1.064-1.540 for low number of doctors per bed). This empirical study showed that patients with pneumonia cared for in hospitals with more doctors were less likely to be readmitted. Pneumonia-specific 30-day readmission was also significantly associated with the combined effect of the number of doctors and the number of hospital beds.

  3. Heart failure rehospitalization of the Medicare FFS patient: a state-level analysis exploring 30-day readmission factors.

    Science.gov (United States)

    Schmeida, Mary; Savrin, Ronald A

    2012-01-01

    Heart failure readmission among the elderly is frequent and costly to both the patient and the Medicare trust fund. In this study, the authors explore the factors that are associated with states having heart failure readmission rates that are higher than the U.S. national rate. Acute inpatient hospital settings. 50 state-level data and multivariate regression analysis is used. The dependent variable Heart Failure 30-day Readmission Worse than U.S. Rate is based on adult Medicare Fee-for-Service patients hospitalized with a primary discharge diagnosis of heart failure and for which a subsequent inpatient readmission occurred within 30 days of their last discharge. One key variable found--states with a higher resident population speaking a primary language other than English at home--that is significantly associated with a decrease in probability in states ranking "worse" on heart failure 30-day readmission. Whereas, states with a higher median income, more total days of care per 1,000 Medicare enrollees, and a greater percentage of Medicare enrollees with prescription drug coverage have a greater probability for heart failure 30-day readmission to be "worse" than the U.S. national rate. Case management interventions targeting health literacy may be more effective than other factors to improve state-level hospital status on heart failure 30-day readmission. Factors such as total days of care per 1,000 Medicare enrollees and improving patient access to postdischarge medication(s) may not be as important as literacy. Interventions aimed to prevent disparities should consider higher income population groups as vulnerable for readmission.

  4. Favorable bed utilization and readmission rates for emergency department observation unit heart failure patients.

    Science.gov (United States)

    Schrager, Justin; Wheatley, Matthew; Georgiopoulou, Vasiliki; Osborne, Anwar; Kalogeropoulos, Andreas; Hung, Olivia; Butler, Javed; Ross, Michael

    2013-06-01

    The objective was to compare readmission rates and hospital bed-days between acute decompensated heart failure (AHF) patients admitted or discharged following accelerated treatment protocol (ATP)-driven care in an emergency department observation unit (OU). This was a retrospective cohort study conducted at two urban university-affiliated hospitals. A total of 358 selected AHF patients received treatment on an ATP in the OU between October 1, 2007, and June 30, 2011. The comparison of interest was admission or discharge following OU treatment. The outcome of interest was readmission within 30 and 90 days of hospital discharge following care in the OU. We also examined resource use (inpatient, inpatient plus outpatient-days) between the admitted and discharged groups. Time to readmission analysis was performed with Cox proportional hazards regression. Discharged and admitted patients were similar with respect to age, race, sex, ED length of stay (LOS), and OU LOS. Patients admitted from the OU had a higher median B-type natriuretic peptide (BNP; 1,063 pg/mL [interquartile range {IQR} = 552 to 2,067 pg/mL] vs. 708 pg/mL [IQR = 254 to 1,683 pg/mL]; p = 0.002) and blood urea nitrogen (BUN; 19 mg/dL [IQR = 14 to 26 mg/dL] vs. 17 mg/dL [IQR = 13 to 23 mg/dL]) than those discharged (p = 0.04) and a lower median ejection fraction (EF; 22.5% [15% to 43%] vs. 35% [IQR 20% to 55%]; p = 0.002). In models controlling for age, race, sex, clinical site, BNP, BUN, creatinine, and EF, the 30-day readmission rate (13.8% in the study population as a whole) was not significantly different between the patients discharged or admitted following OU care (hazard ratio [HR] = 0.99; 95% confidence interval [CI] = 0.47 to 2.10). The readmission rates were also not significantly different at 90 days (HR = 1.07; 95% CI = 0.65 to 1.77). Within 30 days of discharge from the OU, patients spent a median of 1.7 days (IQR = 0.0 to 5.1 days) as inpatients, compared to 3.5 days (IQR = 2.3 to 5.8 days

  5. A Study of Causes of Readmission Patients Toxicological Ward of the Loghman Hakim Hospital, in Tehran in 2014

    Directory of Open Access Journals (Sweden)

    R. Ghasempour

    2016-02-01

    Full Text Available Introduction: Readmission to hospital because of the impact on the cost and quality of hospital care and Impose an additional burden on the healthcare system, Is an important priority for hospital managers. The aim of Study Was causes of readmission patients toxicological ward of the loghman hakim hospital, Research in Tehran. Method: This is an applied cross-sectional retrospective study. Research community included Admissions in 1393 in toxicological ward of the loghman hakim hospital. Research Size based on Morgan is 300 clinical records. Sampling Method was simple randomly. Readmission in the present study in hospitalized form was more than one defined. Demographic data includes (age, gender, marital status, occupation, education and variables related to hospitalization (hospitalization Frequency, length of stay, and poisoning quality, discharge situation, referral and insurance by means of information form was extracted from records. In two level Descriptive statistics (frequency and percentage and inferential statistics (correlation chi-square test, dependent T test and Chi-square test were analyzed using SPSS21 software and hypothesis testing was done. Finding: During the study period300 readmission cases were hospitalized in toxicological ward of the loghman hakim hospital.13/4% patient was readmission. The readmission cause in 41/6% patient was related to family issues. It Can be named respectively emotional, spiritual, and addiction with regard to other topics. The total cost of treating patients was 206521754 Rials. The average cost of stay per patient 10256639 Rials, payment by patient 928136 Rials, and Subsidies health payment by health ministry was 1834370 Rials. Conclusion: The results of this study showed that, several factors may be involved in readmission to hospital patients poisons ,the most important of them can be mentioned in the four ares of family problems, emotional problems, mental problems and addiction.

  6. Contribution of temporal data to predictive performance in 30-day readmission of morbidly obese patients

    Directory of Open Access Journals (Sweden)

    Petra Povalej Brzan

    2017-04-01

    Full Text Available Background Reduction of readmissions after discharge represents an important challenge for many hospitals and has attracted the interest of many researchers in the past few years. Most of the studies in this field focus on building cross-sectional predictive models that aim to predict the occurrence of readmission within 30-days based on information from the current hospitalization. The aim of this study is demonstration of predictive performance gain obtained by inclusion of information from historical hospitalization records among morbidly obese patients. Methods The California Statewide inpatient database was used to build regularized logistic regression models for prediction of readmission in morbidly obese patients (n = 18,881. Temporal features were extracted from historical patient hospitalization records in a one-year timeframe. Five different datasets of patients were prepared based on the number of available hospitalizations per patient. Sample size of the five datasets ranged from 4,787 patients with more than five hospitalizations to 20,521 patients with at least two hospitalization records in one year. A 10-fold cross validation was repeted 100 times to assess the variability of the results. Additionally, random forest and extreme gradient boosting were used to confirm the results. Results Area under the ROC curve increased significantly when including information from up to three historical records on all datasets. The inclusion of more than three historical records was not efficient. Similar results can be observed for Brier score and PPV value. The number of selected predictors corresponded to the complexity of the dataset ranging from an average of 29.50 selected features on the smallest dataset to 184.96 on the largest dataset based on 100 repetitions of 10-fold cross-validation. Discussion The results show positive influence of adding information from historical hospitalization records on predictive performance using all

  7. Patients' perceptions of interactions with hospital staff are associated with hospital readmissions: a national survey of 4535 hospitals.

    Science.gov (United States)

    Yang, Lianping; Liu, Chaojie; Huang, Cunrui; Mukamel, Dana B

    2018-01-29

    Reducing 30-day hospital readmissions has become a focus of the current national payment policies. Medicare requires that hospitals collect and report patients' experience with their care as a condition of payment. However, the extent to which patients' experience with hospital care is related to hospital readmission is unknown. We established multivariate regression models in which 30-day risk-adjusted readmission rates were the dependent variables and patients' perceptions of the responsiveness of the hospital staff and communication (as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores) were the independent variables of interest. We selected six different clinical conditions for analyses, including acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), heart failure, hip/knee surgery, pneumonia, and stroke. Data included all acute care hospitals reporting in Hospital Compare in 2014. The number of hospitals with reported readmissions ranged from 2234 hospitals for AMI to 3758 hospitals for pneumonia. The average 30-day readmission rates ranged from 5.19% for knee/hip surgery to 22.7% for COPD. Patient experience of hospital-staff responsiveness as "top-box" ranged from 64% to 67% across the six clinical conditions, communication with nurses ranged from 77% to 79% and communication with doctors ranged from 80% to 81% (higher numbers are better). Our finding suggests that hospitals with better staff responsiveness were significantly more likely to have lower 30-day readmissions for all conditions. The effect size depended on the baseline readmission rates, with the largest effect on hospitals in the upper 75th quartile. A ten-percentage-point increase in staff responsiveness led to a 0.03-0.18 percentage point decrease in readmission rates. We found that neither communication with physicians nor communication with nurses was significantly associated with hospital readmissions. Our findings

  8. Impact of postoperative complications on readmission and long-term survival in patients following surgery for colorectal cancer.

    Science.gov (United States)

    Slankamenac, Ksenija; Slankamenac, Maja; Schlegel, Andrea; Nocito, Antonio; Rickenbacher, Andreas; Clavien, Pierre-Alain; Turina, Matthias

    2017-06-01

    It is well known that specific postoperative complications such as stroke influence readmissions and overall survival (OS) after surgery for colorectal cancer (CRC). Whether overall hospital morbidity is associated with increased risk of readmission and poorer long-term survival is unknown. New tools are available to accurately quantify overall morbidity, such as the comprehensive complication index (CCI). The aim is to evaluate the impact of complications on readmission and overall survival (OS) in patients operated for colorectal cancer. Postoperative complications of patients undergoing surgery for CRC were assessed over a 5-year period using the Clavien-Dindo classification, and overall morbidity was assessed by using the CCI. Individual scores were analyzed regarding their association with readmission and OS by using the multivariate logistic and Cox proportional-hazards regression analysis, respectively. Two hundred eighty-four patients were operated for CRC, of which 22 (8%) were readmitted. One hundred five patients (37%) developed at least one postoperative complication during the hospital stay. While single complications or the use of severe complication only (grade ≥IIIb) was not associated with readmission, overall morbidity (CCI) predicted readmission (OR 1.02 (95% CI 1.0-1.04), p = 0.044). Similarly, morbidity assessed by the CCI had a significant negative predictive value on OS, e.g., patients with a CCI of 20 were 22% more likely to die within a 5-year follow-up, when compared to patients with a CCI of 10 (p = 0.022). Overall combined morbidity as assessed by the CCI leads to more frequent readmission, and is associated with poorer long-term survival after surgery for CRC.

  9. Kansas City Cardiomyopathy Questionnaire Utility in Prediction of 30-Day Readmission Rate in Patients with Chronic Heart Failure

    Directory of Open Access Journals (Sweden)

    Shengchuan Dai

    2016-01-01

    Full Text Available Background. Heart failure (HF is one of the most common diagnoses associated with hospital readmission. We designed this prospective study to evaluate whether Kansas City Cardiomyopathy Questionnaire (KCCQ score is associated with 30-day readmission in patients hospitalized with decompensated HF. Methods and Results. We enrolled 240 patients who met the study criteria. Forty-eight (20% patients were readmitted for decompensated HF within thirty days of hospital discharge, and 192 (80% patients were not readmitted. Compared to readmitted patients, nonreadmitted patients had a higher average KCCQ score (40.8 versus 32.6, P = 0.019 before discharge. Multivariate analyses showed that a high KCCQ score was associated with low HF readmission rate (adjusted OR = 0.566, P = 0.022. The c-statistic for the base model (age + gender was 0.617. The combination of home medication and lab tests on the base model resulted in an integrated discrimination improvement (IDI increase of 3.9%. On that basis, the KCQQ further increased IDI of 2.7%. Conclusions. The KCCQ score determined before hospital discharge was significantly associated with 30-day readmission rate in patients with HF, which may provide a clinically useful measure and could significantly improve readmission prediction reliability when combined with other clinical components.

  10. Assessment of inpatient psychiatric readmission risk among patients discharged on an antipsychotic polypharmacy regimen: A retrospective cohort study.

    Science.gov (United States)

    Boskailo, Esad; Malkoc, Aldin; McCurry, Dustin B; Venter, Jacob; Drachman, David; Ramos, Gilbert M

    2017-11-01

    Patients are frequently prescribed multiple antipsychotic medications, leading to higher healthcare costs and increased risk for side effects. The efficacy of multiple versus single antipsychotics to prevent acute relapse, measured by incidence of inpatient readmission, is investigated in Arizona, USA. A retrospective chart review compared socio-demographic and clinical data from 1,010 patients discharged on a single and 377 discharged on multiple antipsychotic medications. Case management records were reviewed for readmission within one year of discharge. Younger age, diagnosis of Schizophrenia or Schizoaffective Disorder, prescription of mood stabilizer, shorter length of stay, and discharge to residential treatment or crisis recovery unit were associated with multiple antipsychotics at discharge. Readmission rates of the single (13.7%) versus multiple (15.9%) antipsychotic groups were not statistically different (p=0.286). Logistic regression analysis established that only age (younger) and the prescription of a mood stabilizer at discharge were significant predictors for increased risk for readmission (p=0.010 and p=0.049, respectively). A Cox survival analysis supported these findings. Concomitant antipsychotic polypharmacy at discharge did not reduce readmission risk over a one-year period. Given the increased risk of side effects and financial costs of polypharmacy, this study did not provide evidence to support this practice. Strikingly, only two variables predicted readmission risk, younger age and prescription of mood stabilizer. Although practitioners should follow practice guidelines more closely to prevent unnecessary exposure to potentially lethal side effects of antipsychotic polypharmacy, further studies are needed to better identify patients at high risk for readmission. Copyright © 2017 by Academy of Sciences and Arts of Bosnia and Herzegovina.

  11. Effectiveness of structured planned post discharge support to patients with chronic obstructive pulmonary disease for reducing readmission rates

    DEFF Research Database (Denmark)

    Pedersen, Preben Ulrich; Ersgard, Karen Bagger; Soerensen, Tina Brandt

    2017-01-01

    BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a preventable and treatable disease, characterized by airflow limitation. The disease has a significant impact on the lives of patients and is a challenge for the health care due to readmissions to hospitals. OBJECTIVES: This review aimed...... exacerbation. TYPES OF INTERVENTIONS: Studies that evaluated discharge interventions that supported patients managing symptoms of COPD. TYPES OF STUDIES: Randomized controlled trials, non-randomized controlled trials, quasi-experimental or cohort studies. OUTCOMES: Readmission, defined as hospitalization...... to identify, appraise and synthesize the best available evidence on the effectiveness of discharge interventions that can reduce readmission of patients with COPD. TYPES OF PARTICIPANTS: Hospitalized patients, aged 18 years or over, who had been diagnosed with COPD and were admitted to hospital due to acute...

  12. Hip Fractures: What Information Does the Evidence Show That Patients and Families Need to Decrease 30-Day Readmission?

    Science.gov (United States)

    Gardner, Kristin OʼMara

    2015-01-01

    The current bundled payment reimbursement from the Centers for Medicare & Medicaid Services will not cover the additional cost of hospital readmission for the same diagnosis, and patients with hip fractures have one of the highest cost-saving opportunities when compared with other admission reasons. Common reasons for readmission to the hospital after hip fracture include pneumonia, dehydration, and mobility issues. The learning modalities including visual, aural, read/write, and kinesthetic were used to make recommendations on how the education can be incorporated into the instruction of patients with hip fractures and their families. These learning techniques can be used to develop education to decrease possibility of 30-day readmission after hip fracture. Nurses must focus their education to meet the needs of each individual patient, adapting to different types of adult learners to increase the health literacy of patients with hip fractures and their families.

  13. Iatrogenic risk factors associated with hospital readmission of elderly patients: A matched case-control study using a clinical data warehouse.

    Science.gov (United States)

    Schwab, C; Korb-Savoldelli, V; Escudie, J B; Fernandez, C; Durieux, P; Saint-Jean, O; Sabatier, B

    2018-06-01

    Hospital readmission within 30 days of patient discharge has become a standard to judge the quality of hospitalizations. It is estimated that 14% of the elderly, people over 75 years old or those over 65 with comorbidities, are at risk of readmission, of which 23% are avoidable. It may be possible to identify elderly patients at risk of readmission and implement steps to reduce avoidable readmissions. The aim of this study was to identify iatrogenic risk factors for readmission. The secondary objective was to evaluate the rate of drug-related readmissions (DRRs) among all readmissions and compare it to the rate of readmissions for other reasons. We conducted a retrospective, matched, case-control study to identify non-demographic risk factors for avoidable readmission, specifically DRRs. The study included patients hospitalized between 1 September 2014 and 31 October 2015 in an 800-bed university hospital. We included patients aged 75 and over. Cases consisted of patients readmitted to the emergency department within 30 days of initial discharge. Controls did not return to the emergency department within 30 days. Cases and controls were matched on sex and age because they are known as readmissions risk factors. After comparison of the mean or percentage between cases and controls for each variable, we conducted a conditional logistic regression. The risk factors identified were an emergency admission at the index hospitalization, returning home after discharge, a history of unplanned readmissions and prescription of nervous system drugs. Otherwise, 11.4% of the readmissions were DRRs, of which 30% were caused by an overdose of antihypertensive. The number of drugs at readmission was higher, and potentially inappropriate medications were more widely prescribed for DRRs than for readmissions for other reasons. In this matched case-control retrospective study, after controlling for gender and age, we identified the typical profile of elderly patients at risk of

  14. Sarcopenia predicts readmission and mortality in elderly patients in acute care wards: a prospective study.

    Science.gov (United States)

    Yang, Ming; Hu, Xiaoyi; Wang, Haozhong; Zhang, Lei; Hao, Qiukui; Dong, Birong

    2017-04-01

    The aim of this study is to assess the prevalence of sarcopenia and investigate the associations between sarcopenia and long-term mortality and readmission in a population of elderly inpatients in acute care wards. We conducted a prospective observational study in the acute care wards of a teaching hospital in western China. The muscle mass was estimated according to a previously validated anthropometric equation. Handgrip strength was measured with a handheld dynamometer, and physical performance was measured via a 4 m walking test. Sarcopenia was defined according to the recommended diagnostic algorithm of the Asia Working Group for Sarcopenia. The survival status and readmission information were obtained via telephone interviews at 12, 24, and 36 months during the 3 year follow-up period following the baseline investigation. Two hundred and eighty-eight participants (mean age: 81.1 ± 6.6 years) were included. Forty-nine participants (17.0%) were identified as having sarcopenia. This condition was similar in men and women (16.9% vs. 17.5%, respectively, P = 0.915). During the 3 year follow-up period, 49 men (22.7%) and 9 women (16.4%) died (P = 0.307). The mortality of sarcopenic participants was significantly increased compared with non-sarcopenic participants (40.8% vs. 17.1%, respectively, P sarcopenia was an independent predictor of 3 year mortality (adjusted hazard ratio: 2.49; 95% confidential interval: 1.25-4.95) and readmission (adjusted hazard ratio: 1.81; 95% confidential interval: 1.17-2.80). Sarcopenia, which is evaluated by a combination of anthropometric measures, gait speed, and handgrip strength, is valuable to predict hospital readmission and long-term mortality in elderly patients in acute care wards. © 2016 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of the Society on Sarcopenia, Cachexia and Wasting Disorders.

  15. Discharge Processes and 30-Day Readmission Rates of Patients Hospitalized for Heart Failure on General Medicine and Cardiology Services.

    Science.gov (United States)

    Salata, Brian M; Sterling, Madeline R; Beecy, Ashley N; Ullal, Ajayram V; Jones, Erica C; Horn, Evelyn M; Goyal, Parag

    2018-05-01

    Given high rates of heart failure (HF) hospitalizations and widespread adoption of the hospitalist model, patients with HF are often cared for on General Medicine (GM) services. Differences in discharge processes and 30-day readmission rates between patients on GM and those on Cardiology during the contemporary hospitalist era are unknown. The present study compared discharge processes and 30-day readmission rates of patients with HF admitted on GM services and those on Cardiology services. We retrospectively studied 926 patients discharged home after HF hospitalization. The primary outcome was 30-day all-cause readmission after discharge from index hospitalization. Although 60% of patients with HF were admitted to Cardiology services, 40% were admitted to GM services. Prevalence of cardiovascular and noncardiovascular co-morbidities were similar between patients admitted to GM services and Cardiology services. Discharge summaries for patients on GM services were less likely to have reassessments of ejection fraction, new study results, weights, discharge vital signs, discharge physical examinations, and scheduled follow-up cardiologist appointments. In a multivariable regression analysis, patients on GM services were more likely to experience 30-day readmissions compared with those on Cardiology services (odds ratio 1.43 95% confidence interval [1.05 to 1.96], p = 0.02). In conclusion, outcomes are better among those admitted to Cardiology services, signaling the need for studies and interventions focusing on noncardiology hospital providers that care for patients with HF. Copyright © 2018 Elsevier Inc. All rights reserved.

  16. Predicting 30- to 120-Day Readmission Risk among Medicare Fee-for-Service Patients Using Nonmedical Workers and Mobile Technology.

    Science.gov (United States)

    Ostrovsky, Andrey; O'Connor, Lori; Marshall, Olivia; Angelo, Amanda; Barrett, Kelsy; Majeski, Emily; Handrus, Maxwell; Levy, Jeffrey

    2016-01-01

    Hospital readmissions are a large source of wasteful healthcare spending, and current care transition models are too expensive to be sustainable. One way to circumvent cost-prohibitive care transition programs is complement nurse-staffed care transition programs with those staffed by less expensive nonmedical workers. A major barrier to utilizing nonmedical workers is determining the appropriate time to escalate care to a clinician with a wider scope of practice. The objective of this study is to show how mobile technology can use the observations of nonmedical workers to stratify patients on the basis of their hospital readmission risk. An area agency on aging in Massachusetts implemented a quality improvement project with the aim of reducing 30-day hospital readmission rates using a modified care transition intervention supported by mobile predictive analytics technology. Proprietary readmission risk prediction algorithms were used to predict 30-, 60-, 90-, and 120-day readmission risk. The risk score derived from the nonmedical workers' observations had a significant association with 30-day readmission rate with an odds ratio (OR) of 1.12 (95 percent confidence interval [CI], 1 .09-1.15) compared to an OR of 1.25 (95 percent CI, 1.19-1.32) for the risk score using nurse observations. Risk scores using nurse interpretation of nonmedical workers' observations show that patients in the high-risk category had significantly higher readmission rates than patients in the baseline-risk and mild-risk categories at 30, 60, 90, and 120 days after discharge. Of the 1,064 elevated-risk alerts that were triaged, 1,049 (98.6 percent) involved the nurse care manager, 804 (75.6 percent) involved the patient, 768 (72.2 percent) involved the health coach, 461 (43.3 percent) involved skilled nursing, and 235 (22.1 percent) involved the outpatient physician in the coordination of care in response to the alert. The predictive nature of the 30-day readmission risk scores is influenced

  17. Association of type 2 diabetes with prolonged hospital stay and increased rate of readmission in patients with lower limb cellulitis.

    Science.gov (United States)

    Wijayaratna, S M; Cundy, T; Drury, P L; Sehgal, S; Wijayaratna, S A; Wu, F

    2017-01-01

    Lower limb (LL) cellulitis-related hospitalisations are prevalent in type 2 diabetes subjects. We assess its costs and factors associated with length of stay and readmissions. A retrospective case-control study at an urban hospital servicing a multi-ethnic population in New Zealand, where 7% of the adult population is estimated to have diabetes. Admissions with LL cellulitis in 2008-2013 were identified using coding records. Subsequent hospitalisations after 1 month with the same diagnosis were classified as readmissions. Glycaemic control was assessed by HbA1c measured within 6 months of the index admission. There were 4600 admissions with LL cellulitis in 3636 patients, including 719 patients (20%) with type 2 diabetes. Hospital stay was longer for type 2 diabetes patients (median 5.3 vs 3.0 days, P < 0.001), independent of age, ethnicity and HbA1c. Accompanying LL ulceration was more frequent in type 2 diabetes patients (50% vs 17%, P < 0.001); however, admissions remained longer for type 2 diabetes patients without ulceration (median 3.4 vs 2.8 days, P < 0.001). Readmission rates were also higher in type 2 diabetes patients compared to non-diabetes patients (HR 1.7, P < 0.001), even in the absence of ulceration (HR 2.2, P < 0.001). Age, HbA1c and ethnicity did not distinguish those prone to readmissions in the type 2 diabetes cohort. Type 2 diabetes patients accounted for a fifth of all admissions and one third of the estimated costs. A high proportion of patients with type 2 diabetes was admitted with LL cellulitis. They had significantly longer admissions and higher readmission rates. Age, HbA1c and ethnicity did not predict length of stay or recurrence. © 2016 Royal Australasian College of Physicians.

  18. A predictive analytics approach to reducing 30-day avoidable readmissions among patients with heart failure, acute myocardial infarction, pneumonia, or COPD.

    Science.gov (United States)

    Shams, Issac; Ajorlou, Saeede; Yang, Kai

    2015-03-01

    Hospital readmission has become a critical metric of quality and cost of healthcare. Medicare anticipates that nearly $17 billion is paid out on the 20 % of patients who are readmitted within 30 days of discharge. Although several interventions such as transition care management have been practiced in recent years, the effectiveness and sustainability depends on how well they can identify patients at high risk of rehospitalization. Based on the literature, most current risk prediction models fail to reach an acceptable accuracy level; none of them considers patient's history of readmission and impacts of patient attribute changes over time; and they often do not discriminate between planned and unnecessary readmissions. Tackling such drawbacks, we develop a new readmission metric based on administrative data that can identify potentially avoidable readmissions from all other types of readmission. We further propose a tree-based classification method to estimate the predicted probability of readmission that can directly incorporate patient's history of readmission and risk factors changes over time. The proposed methods are validated with 2011-12 Veterans Health Administration data from inpatients hospitalized for heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease in the State of Michigan. Results shows improved discrimination power compared to the literature (c-statistics >80 %) and good calibration.

  19. Nurse-initiated telephone follow-up on patients with chronic obstructive pulmonary disease improves patient empowerment, but cannot prevent readmissions

    DEFF Research Database (Denmark)

    Lavesen, Marie; Ladelund, Steen; Frederiksen, Addie J

    2016-01-01

    INTRODUCTION: Readmissions reduce quality of life and increase mortality. Furthermore, disease severity and shortened length of stay make it difficult to support disease management during admission. The aim of this study was to explore whether telephone follow-up after discharge may reduce...... readmission rates, lower mortality and improve disease management in patients with chronic obstructive pulmonary disease (COPD). METHODS: This was a randomised controlled trial (n = 224) with nurse-initiated telephone intervention after discharge. On day 30, questionnaires about health status and perceptions...... of disease management were completed. Readmission and death were recorded on days 30 and 84. RESULTS: There was no significant difference in readmission rates, but significant differences in patients' assessment of own perception of managing dyspnoea, lung symptoms, ability to react to signs of exacerbation...

  20. The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: initial development and validation

    NARCIS (Netherlands)

    Gajic, Ognjen; Malinchoc, Michael; Comfere, Thomas B.; Harris, Marcelline R.; Achouiti, Ahmed; Yilmaz, Murat; Schultz, Marcus J.; Hubmayr, Rolf D.; Afessa, Bekele; Farmer, J. Christopher

    2008-01-01

    OBJECTIVE: Unplanned readmission of hospitalized patients to an intensive care unit (ICU) is associated with a worse outcome, but our ability to identify who is likely to deteriorate after ICU dismissal is limited. The objective of this study is to develop and validate a numerical index, named the

  1. Association between number of doses per day, number of medications and patient's non-compliance, and frequency of readmissions in a multi-ethnic Asian population

    Directory of Open Access Journals (Sweden)

    Ming Ren Toh

    2014-01-01

    Conclusion: Complex medication regimen (i.e. multiple medications and multiple doses per day is a statistically significant predictor of number of readmissions. Simplifying therapeutic regimens with alternatives such as longer-acting or fixed-dose combination drugs may facilitate better patient adherence and reduce costly readmissions.

  2. Predicting hospital mortality among frequently readmitted patients: HSMR biased by readmission

    NARCIS (Netherlands)

    van den Bosch, W.F.; Kelder, J.C.; Wagner, C.

    2011-01-01

    Background: Casemix adjusted in-hospital mortality is one of the measures used to improve quality of care. The adjustment currently used does not take into account the effects of readmission, because reliable data on readmission is not readily available through routinely collected databases. We have

  3. Predicting hospital mortality among frequently readmitted patients: HSMR biased by readmission.

    NARCIS (Netherlands)

    Bosch, W.F. van den; Kelder, J.C.; Wagner, C.

    2011-01-01

    BACKGROUND: Casemix adjusted in-hospital mortality is one of the measures used to improve quality of care. The adjustment currently used does not take into account the effects of readmission, because reliable data on readmission is not readily available through routinely collected databases. We have

  4. Postdischarge care and readmissions.

    Science.gov (United States)

    Smith, D M; Weinberger, M; Katz, B P; Moore, P S

    1988-07-01

    A multifaceted intervention was hypothesized to increase postdischarge ambulatory contacts and to reduce nonelective readmissions. Patients (N = 1,001) discharged from the general medicine service were stratified by risk for nonelective readmission and randomized to the control or intervention group. Intervention patients received phone calls from nurses, mailings of appointment reminders and lists of early warning signs, and prompt rescheduling of visit failures. Patients were followed for 6 months, and the results were computed in units per patient per month. The intervention group had 10.4% more total office contacts (0.53 vs 0.48, P = 0.005) than the control group. Although the intervention group had 7.6% fewer nonelective readmission days (0.85 vs 0.92), this was not statistically significant (P = 0.5). Patients in the intervention group at high risk (N = 181) had 28.1% more office visits (0.73 vs 0.57, P less than 0.01) and 31.9% fewer nonelective readmission days (1.13 vs 1.66), but this was also not statistically significant (P = 0.06). Thus, the intervention significantly increased post-discharge contacts, primarily in high-risk patients, but failed to reduce the incidence of nonelective readmission days significantly.

  5. Nurse-initiated telephone follow-up on patients with chronic obstructive pulmonary disease improves patient empowerment, but cannot prevent readmissions

    DEFF Research Database (Denmark)

    Karlsson, Marie Lavesen; Ladelund, Steen; Frederiksen, Addie Just

    2016-01-01

    Introduction: Readmissions reduce quality of life and increase mortality. Furthermore, disease severity and shortened length of stay make it difficult to support disease management during admission. The aim of this study was to explore whether telephone follow-up after discharge may reduce...... readmission rates, lower mortality and improve disease management in patients with chronic obstructive pulmonary disease (COPD). 
Methods: This was a randomised controlled trial (n = 224) with nurse-initiated telephone intervention after discharge. On day 30, questionnaires about health status and perceptions...... of disease management were completed. Readmission and death were recorded on days 30 and 84. Results: There was no significant difference in readmission rates, but significant differences in patients’ assessment of own perception of managing dyspnoea, lung symptoms, ability to react to signs of exacerbation...

  6. Comparison of Readmission Rates After Acute Myocardial Infarction in 3 Patient Age Groups (18 to 44, 45 to 64, and ≥65 Years) in the United States.

    Science.gov (United States)

    Khera, Rohan; Jain, Snigdha; Pandey, Ambarish; Agusala, Vijay; Kumbhani, Dharam J; Das, Sandeep R; Berry, Jarett D; de Lemos, James A; Girotra, Saket

    2017-11-15

    Postacute myocardial infarction (AMI) readmissions are common among Medicare beneficiaries (≥65 years) and are associated with significant resource utilization. However, patterns of AMI readmissions for younger age groups in the United States are not known. In the Nationwide Readmissions Database, a nationally representative all-payer database of inpatient hospitalizations, we identified 212,171 index AMI hospitalizations in January to November 2013, weighted to represent 478,247 hospitalizations nationally (mean age 66.9 years, 38% women, 29% low income). This included 26,516 cases in the 18 to 44 age group, 183,703 in the 45 to 64 age group, and 268,027 in the ≥65 age group. The overall 30-day readmission rate was 14.5% and varied across age groups (9.7% [18 to 44], 11.2% [45 to 64], and 17.3% [≥65]). The cumulative cost of 30-day readmissions was $1.1 billion, of which $365 million was spent on those age. In multivariable hierarchical models, the risk of readmission was higher in women and in low-income patients, but the effect varied by age (p value for age-gender and age-income interactions age groups. Further, patients in all age groups continue to have a high hospitalization burden beyond the typical 30-day readmission period, with an overall 24% post-AMI 90-day readmission rate. In conclusion, readmissions in young and middle-aged AMI survivors pose a substantial burden on patients and on U.S. health-care resources. Women and low-income patients with AMI, particularly those in younger age groups, are more frequently readmitted, and readmissions continue to burden the health-care system beyond the typical 30-day window. Future investigations would need to be targeted toward a better understanding and improvement of the rehospitalization burden for vulnerable patient groups. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. Hospital readmissions of patients with heart failure: the impact of hospital and primary care organizational factors in Northern Italy.

    Directory of Open Access Journals (Sweden)

    Vera Maria Avaldi

    Full Text Available Primary health care is essential for an appropriate management of heart failure (HF, a disease which is a major clinical and public health issue and a leading cause of hospitalization. The aim of this study was to evaluate the impact of different organizational factors on readmissions of patients with HF.The study population included elderly resident in the Local Health Authority of Bologna (Northern Italy and discharged with a diagnosis of HF from January to December 2010. Unplanned hospital readmissions were measured in four timeframes: 30 (short-term, 90 (medium-term, 180 (mid-long-term, and 365 days (long-term. Using multivariable multilevel Poisson regression analyses, we investigated the association between readmissions and organizational factors (discharge from a cardiology department, general practitioners' monodisciplinary organizational arrangement, and implementation of a specific HF care pathway.The 1873 study patients had a median age of 83 years (interquartile range 77-87 and 55.5% were females; 52.0% were readmitted to the hospital for any reason after a year, while 20.1% were readmitted for HF. The presence of a HF care pathway was the only factor significantly associated with a lower risk of readmission for HF in the short-, medium-, mid-long- and long-term period (short-term: IRR [incidence rate ratio]=0.57, 95%CI [confidence interval]=0.35-0.92; medium-term: IRR=0.70, 95%CI=0.51-0.96; mid-long-term: IRR=0.79, 95%CI=0.64-0.98; long-term: IRR=0.82, 95%CI=0.67-0.99, and with a lower risk of all-cause readmission in the short-term period (IRR=0.73, 95%CI=0.57-0.94.Our study shows that the HF care specific pathway implemented at the primary care level was associated with lower readmission rate for HF in each timeframe, and also with lower readmission rate for all causes in the short-term period. Our results suggest that the engagement of primary care professionals starting from the early post-discharge period may be relevant in the

  8. Obtaining a follow-up appointment before discharge protects against readmission for patients with acute coronary syndrome and heart failure: A quality improvement project.

    Science.gov (United States)

    Baky, Vidagay; Moran, Dane; Warwick, Tessa; George, Alice; Williams, Tammy; McWilliams, Eric; Marine, Joseph E

    2018-04-15

    Cardiac patients have a high risk of readmission following hospital discharge. The aim of our project was to examine the factors associated with increased readmission rate, with a view to eventually decrease the rate of readmission for patients admitted to the hospital due to acute coronary syndrome (ACS) or heart failure. Patients admitted to the cardiac step-down unit at a single private hospital from 2015 to 2016 were included in our study. Interventions that were employed included: (1) improved pre-discharge follow-up appointment scheduling, (2) medication education by a pharmacist, and (3) timely discharge planning. Our primary outcome of interest was all-cause rate of hospital readmission within 30days. We conducted a multivariate analysis to determine the factors that were predictive of readmission rate. 578 patients were included in the study and 402 were diagnosed with ACS (69.9%). The rate of readmission was 14.2% for patients with heart failure, compared to 7.5% for patients with ACS. Following the bundle of interventions, patients were significantly more likely to receive an appointment (45.6% vs. 75.4%, pReadmission rate was comparable following the intervention (8.6% vs. 9.7%), but patients that received an appointment had 0.374 times lower odds of being readmitted (p=0.004). While our package of interventions did not lead to a significant decline in our readmission rate, patients who received a follow-up appointment prior to discharge were strongly protected against readmission. Copyright © 2017. Published by Elsevier B.V.

  9. Risk factors and direct medical cost of early versus late unplanned readmissions among diabetes patients at a tertiary hospital in Singapore.

    Science.gov (United States)

    Png, May Ee; Yoong, Joanne; Chen, Cynthia; Tan, Chuen Seng; Tai, E Shyong; Khoo, Eric Y H; Wee, Hwee Lin

    2018-02-20

    To examine the risk factors and direct medical costs associated with early (≤30 days) versus late (31-180 days) unplanned readmissions among patients with type 2 diabetes in Singapore. Risk factors and associated costs among diabetes patients were investigated using electronic medical records from a local tertiary care hospital from 2010 to 2012. Multivariable logistic regression was used to identify risk factors associated with early and late unplanned readmissions while a generalized linear model was used to estimate the direct medical cost. Sensitivity analysis was also performed. A total of 1729 diabetes patients had unplanned readmissions within 180 days of an index discharge. Length of index stay (a marker of acute illness burden) was one of the risk factors associated with early unplanned readmission while patient behavior-related factors, like diabetes-related medication adherence, were associated with late unplanned readmission. Adjusted mean cost of index admission was higher among patients with unplanned readmission. Sensitivity analysis yielded similar results. Existing routinely captured data can be used to develop prediction models that flag high risk patients during their index admission, potentially helping to support clinical decisions and prevent such readmissions.

  10. Trends in Readmission Rates, Hospital Charges, and Mortality for Patients With Chronic Obstructive Pulmonary Disease (COPD) in Florida From 2009 to 2014.

    Science.gov (United States)

    Jiang, Xinyi; Xiao, Hong; Segal, Richard; Mobley, William Cary; Park, Haesuk

    2018-04-01

    Chronic obstructive pulmonary disease (COPD) is a leading and costly cause of readmissions to the hospital, with one of the highest rates reported in Florida. From 2009 to 2014, strategies such as readmission reduction programs, as well as updated guidelines for COPD management, were instituted to reduce readmission rates for patients with COPD. Thus, the question has been raised whether COPD-related 30-day hospital readmission rates in Florida have decreased and whether COPD-related readmission costs during this period have changed. In addition, we examined trends in length of stay, hospital charges, and in-hospital mortality associated with COPD, as well as identified patient-level risk factors associated with 30-day readmissions. A retrospective analysis of adult patients (≥18 years of age) with COPD was conducted by using the Healthcare Cost and Utilization Project Florida State Inpatient Database, 2009 to 2014. Weighted least squares regression was used to assess trends in the COPD readmission rate on a yearly basis, as well as other outcomes of interest. A multivariable logistic regression was used to identify patient characteristics that were associated with 30-day COPD readmissions. Overall, 268,084 adults were identified as having COPD. Between 2009 and 2014, more than half of patients aged 65-84 years, most were white, 55% were female, and 73% had Medicare. The unadjusted rate for COPD-related 30-day readmissions did not change (8.04% to 7.85%; P = 0.434). However, the mean total charge for 30-day COPD-related readmissions was significantly higher in 2014 ($40,611) compared with that in 2009 ($36,714) (P = 0.011). The overall unadjusted in-hospital mortality of COPD-related hospitalizations significantly decreased from 1.83% in 2009 to 1.34% in 2014 (P COPD were 2% less likely to be readmitted to the hospital for each additional year (odds ratio [OR], 0.98 [95% confidence interval (CI), 0.97-0.99]). Factors associated with significantly higher odds of

  11. Integrating the Principles of Evidence Based Medicine and Evidence Based Public Health: Impact on the Quality of Patient Care and Hospital Readmission Rates in Jordan

    Directory of Open Access Journals (Sweden)

    Mohammad S. Alyahya

    2016-08-01

    Full Text Available Introduction: Hospital readmissions impose not only an extra burden on health care systems but impact patient health outcomes. Identifying modifiable behavioural risk factors that are possible causes of potentially avoidable readmissions can lower readmission rates and healthcare costs. Methods: Using the core principles of evidence based medicine and public health, the purpose of this study was to develop a heuristic guide that could identify what behavioural risk factors influence hospital readmissions through adopting various methods of analysis including regression models, t-tests, data mining, and logistic regression. This study was a retrospective cohort review of internal medicine patients admitted between December 1, 2012 and December 31, 2013 at King Abdullah University Hospital, in Jordan. Results: 29% of all hospitalized patients were readmitted during the study period. Among all readmissions, 44% were identified as potentially avoidable. Behavioural factors including smoking, unclear follow-up and discharge planning, and being non-compliant with treatment regimen as well as discharge against medical advice were all associated with increased risk of avoidable readmissions. Conclusion: Implementing evidence based health programs that focus on modifiable behavioural risk factors for both patients and clinicians would yield a higher response in terms of reducing potentially avoidable readmissions, and could reduce direct medical costs.

  12. Integrating the Principles of Evidence Based Medicine and Evidence Based Public Health: Impact on the Quality of Patient Care and Hospital Readmission Rates in Jordan

    Science.gov (United States)

    Hijazi, Heba H.; Alshraideh, Hussam A.; Alsharman, Mohammad Aser; Al Abdi, Rabah; Harvey, Heather Lea

    2016-01-01

    Introduction: Hospital readmissions impose not only an extra burden on health care systems but impact patient health outcomes. Identifying modifiable behavioural risk factors that are possible causes of potentially avoidable readmissions can lower readmission rates and healthcare costs. Methods: Using the core principles of evidence based medicine and public health, the purpose of this study was to develop a heuristic guide that could identify what behavioural risk factors influence hospital readmissions through adopting various methods of analysis including regression models, t-tests, data mining, and logistic regression. This study was a retrospective cohort review of internal medicine patients admitted between December 1, 2012 and December 31, 2013 at King Abdullah University Hospital, in Jordan. Results: 29% of all hospitalized patients were readmitted during the study period. Among all readmissions, 44% were identified as potentially avoidable. Behavioural factors including smoking, unclear follow-up and discharge planning, and being non-compliant with treatment regimen as well as discharge against medical advice were all associated with increased risk of avoidable readmissions. Conclusion: Implementing evidence based health programs that focus on modifiable behavioural risk factors for both patients and clinicians would yield a higher response in terms of reducing potentially avoidable readmissions, and could reduce direct medical costs. PMID:28413365

  13. Factors Influencing Readmission After Pancreaticoduodenectomy: A Multi-Institutional Study of 1302 Patients.

    NARCIS (Netherlands)

    Ahmad, S.A.; Edwards, M.J.R.; Sutton, J.M.; Grewal, S.S.; Hanseman, D.J.; Maithel, S.K.; Patel, S.H.; Bentram, D.J.; Weber, S.M.; Cho, C.S.; Winslow, E.R.; Scoggins, C.R.; Martin, R.C.; Kim, H.J.; Baker, J.J.; Merchant, N.B.; Parikh, A.A.; Kooby, D.A.

    2012-01-01

    OBJECTIVE AND BACKGROUND:: Morbidity, mortality, and length of hospital stay after pancreaticoduodenectomy (PD) have significantly decreased over recent decades. Despite this progress, early readmission rates after PD have been reported as high as 50%. Few reports have delineated factors associated

  14. Improved meal presentation increases food intake and decreases readmission rate in hospitalized patients.

    Science.gov (United States)

    Navarro, Daniela Abigail; Boaz, Mona; Krause, Ilan; Elis, Avishay; Chernov, Karina; Giabra, Mursi; Levy, Miriam; Giboreau, Agnes; Kosak, Sigrid; Mouhieddine, Mohamed; Singer, Pierre

    2016-10-01

    Reduced food intake is a frequent problem at a hospital setting, being a cause and/or consequence of malnutrition. Food presentation can affect food intake and induce nutritional benefit. To investigate the effect of improved meal presentation supported by gastronomy expertise on the food intake in adults hospitalized in internal medicine departments. Controlled before and after study. Two hundred and six newly hospitalized patients in internal medicine departments were included and divided in two groups, a) control: receiving the standard lunch from the hospital and b) experimental: receiving a lunch improved in terms of presentation by the advices received by the Institut Paul Bocuse, Ecully, Lyon, France together with the hospital kitchen of the Beilinson Hospital, without change in the composition of the meal. The amount of food left at the participants' plates was estimated using the Digital Imaging Method, which consisted in photographing the plates immediately to previous tray collection by the researcher. In addition, the nutritionDay questionnaire was used to measure other variables concerned to their food intake during hospitalization. Charlson Comorbidity Index was calculated. There was no significant difference between the groups regarding demography or Charlson Comorbidity Index. Patients who received the meal with the improved presentation showed significantly higher food intake than those who received the standard meal, despite reported loss in appetite. Participants from the experimental group left on their plate less starch (0.19 ± 0.30 vs. 0.52 + 0.41) (p  0.05). Both of the groups were asked how hungry they were before the meal and no significance was shown. More participants from the experimental group reported their meal to be tasty in comparison to those in the control group (49.5% vs. 33.7% p < 0.005). Length of stay was not different but readmission rate decreased significantly in the study group (p < 0.02) from 31.2% to 13

  15. Relationship between Activities of Daily Living and Readmission within 90 Days in Hospitalized Elderly Patients with Heart Failure

    Directory of Open Access Journals (Sweden)

    Masahiro Kitamura

    2017-01-01

    Full Text Available Aims. To examine the relationship between activities of daily living (ADL and readmission within 90 days and assess the cutoff value of ADL to predict readmission in hospitalized elderly patients with heart failure (HF. Methods. This cohort study comprised 589 consecutive patients with HF aged ≥65 years, who underwent cardiac rehabilitation from May 2012 to May 2016 and were discharged home. We investigated patients’ characteristics, basic attributes, and ADL (motor and cognitive Functional Independence Measure [FIM]. We analyzed the data using the unpaired t-test, χ2 test, Cox proportional hazard model, receiver operating characteristic (ROC curve, and Kaplan-Meier method. Results. Of 589 patients, 113 met the criteria, and they were divided into the nonreadmission (n=90 and readmission groups (n=23. Age, body mass index, New York Heart Association class, hemoglobin level, and motor FIM score were significantly different between the two groups (p<0.05. The body mass index (hazard ratio [HR]: 0.87; p<0.05 and motor FIM score (HR: 0.94; p<0.01 remained statistically significant. The cutoff value for the motor FIM score determined by ROC curve analysis was 74.5 points (area under the curve = 0.78; p<0.001. Conclusion. The motor FIM score in elderly patients with HF was an independent predictor of rehospitalization within 90 days.

  16. Older Persons at Risk of Hospital Readmission

    DEFF Research Database (Denmark)

    Pedersen, Mona Kyndi

    Hospital readmission is common and considered an adverse health outcome in older persons. Acute readmission of recently discharged patients puts additional pressure on clinical resources within health care services and support. Despite the frequency of readmissions, affecting health and wellbeing...... of older persons, there is still a relatively incomplete understanding of the broader array of factors pertaining to hospital readmission. The current evidence on risk factors for hospital readmission is not adequate to identify person at risk of readmission in a heterogeneous population of older persons....... Few studies have explored patients’ experiences of circumstances and incidents leading to readmission. This thesis uses a mixed methods approach and combines quantitative as well as qualitative data to explore and identify risk factors and predictors of hospital readmission. Use of health care...

  17. Incidence and predictors of 30-day readmission for patients discharged home after craniotomy for malignant supratentorial tumors in California (1995-2010).

    Science.gov (United States)

    Marcus, Logan P; McCutcheon, Brandon A; Noorbakhsh, Abraham; Parina, Ralitza P; Gonda, David D; Chen, Clark; Chang, David C; Carter, Bob S

    2014-05-01

    Hospital readmission within 30 days of discharge is a major contributor to the high cost of health care in the US and is also a major indicator of patient care quality. The purpose of this study was to investigate the incidence, causes, and predictors of 30-day readmission following craniotomy for malignant supratentorial tumor resection. The longitudinal California Office of Statewide Health Planning & Development inpatient-discharge administrative database is a data set that consists of 100% of all inpatient hospitalizations within the state of California and allows each patient to be followed throughout multiple inpatient hospital stays, across multiple institutions, and over multiple years (from 1995 to 2010). This database was used to identify patients who underwent a craniotomy for resection of primary malignant brain tumors. Causes for unplanned 30-day readmission were identified by principle ICD-9 diagnosis code and multivariate analysis was used to determine the independent effect of various patient factors on 30-day readmissions. A total of 18,506 patients received a craniotomy for the treatment of primary malignant brain tumors within the state of California between 1995 and 2010. Four hundred ten patients (2.2%) died during the index surgical admission, 13,586 patients (73.4%) were discharged home, and 4510 patients (24.4%) were transferred to another facility. Among patients discharged home, 1790 patients (13.2%) were readmitted at least once within 30 days of discharge, with 27% of readmissions occurring at a different hospital than the initial surgical institution. The most common reasons for readmission were new onset seizure and convulsive disorder (20.9%), surgical infection of the CNS (14.5%), and new onset of a motor deficit (12.8%). Medi-Cal beneficiaries were at increased odds for readmission relative to privately insured patients (OR 1.52, 95% CI 1.20-1.93). Patients with a history of prior myocardial infarction were at an increased risk of

  18. Hospital Admissions, Costs, and 30-Day Readmissions Among Newly Diagnosed Nonvalvular Atrial Fibrillation Patients Treated with Dabigatran Etexilate or Warfarin.

    Science.gov (United States)

    Fonseca, Eileen; Sander, Stephen D; Hess, Gregory P; Ghosh, Sabyasachi

    2015-11-01

    Oral anticoagulation such as warfarin and dabigatran is indicated for atrial fibrillation (AF) patients at risk of ischemic stroke. Dabigatran etexilate was developed to address the limitations of warfarin, including the need for regular blood monitoring, which has the potential to lead to higher health care resource use, particularly in hospitalized patients. To evaluate whether hospitalization cost, length of hospital stay (LOS), likelihood of readmission within 30 days, and cost of readmissions differed across inpatient encounters among nonvalvular atrial fibrillation (NVAF) patients that were newly diagnosed and newly treated with either dabigatran or warfarin. A retrospective cohort study was conducted using IMS Health's Charge Detail Master (CDM) database. Hospitalizations were identified based on a primary or secondary AF diagnosis, dabigatran or warfarin use, and a discharge date from January 2011 through March 2012. The identified patients without valvular procedures and transient AF were required to have a minimum of 12 months of pharmacy and private practitioner records prior to the inpatient encounter to ensure that they were newly treated on dabigatran or warfarin. Propensity score matching was used to balance baseline characteristics between treatment cohorts. Outcomes assessed were LOS, 30-day readmissions, and costs. Because individual patients could have more than 1 hospital observation, generalized estimating equations (GEE) with a gamma distribution (log link) were used for the analysis of continuous outcome measures (e.g., LOS and costs) and a binominal distribution for dichotomous outcomes (hospital readmissions). Two cohorts were propensity score matched (1:2) on demographic and clinical characteristics. The dabigatran cohort included 646 hospitalizations, and the warfarin cohort included 1,292 hospitalizations. Hospitalizations were on average 13% shorter (4.8 vs. 5.5 days, P  less than  0.001) and cost 12% less ($14,794 vs. $16,826, P

  19. Associations and predictions of readmission or death in acutely admitted older medical patients using self-reported frailty and functional measures. A Danish cohort study

    DEFF Research Database (Denmark)

    Andreasen, Jane; Aadahl, Mette; Sørensen, Erik Elgaard

    2018-01-01

    OBJECTIVE: To assess whether frailty in acutely admitted older medical patients, assessed by a self-report questionnaire and evaluation of functional level at discharge, was associated with readmission or death within 6 months after discharge. A second objective was to assess the predictive...... measured. Associations were assessed using Cox regression with first unplanned readmission or death (all-causes) as the outcome. Prediction models including the three exposure variables and known risk factors were modelled using logistic regression and C-statistics. RESULTS: Of 1328 included patients, 50......% were readmitted or died within 6 months. When adjusted for gender and age, there was an 88% higher risk of readmission or death if the TFI scores were 8-13 points compared to 0-1 points (HR 1.88, CI 1.38;2.58). Likewise, higher TUG and lower GS scores were associated with higher risk of readmission...

  20. Low serum albumin and total lymphocyte count as predictors of 30 day hospital readmission in patients 65 years of age or older

    Directory of Open Access Journals (Sweden)

    Robert Robinson

    2015-08-01

    Full Text Available Introduction. Hospital readmission within 30 days of discharge is a target for health care cost savings through the medicare Value Based Purchasing initiative. Because of this focus, hospitals and health systems are investing considerable resources into the identification of patients at risk of hospital readmission and designing interventions to reduce the rate of hospital readmission. Malnutrition is a known risk factor for hospital readmission.Materials and Methods. All medical patients 65 years of age or older discharged from Memorial Medical Center from January 1, 2012 to March 31, 2012 who had a determination of serum albumin level and total lymphocyte count on hospital admission were studied retrospectively. Admission serum albumin levels and total lymphocyte counts were used to classify the nutritional status of all patients in the study. Patients with a serum albumin less than 3.5 grams/dL and/or a TLC less than 1,500 cells per mm3 were classified as having protein energy malnutrition. The primary outcome investigated in this study was hospital readmission for any reason within 30 days of discharge.Results. The study population included 1,683 hospital discharges with an average age of 79 years. The majority of the patients were female (55.9% and had a DRG weight of 1.22 (0.68. 219 patients (13% were readmitted within 30 days of hospital discharge. Protein energy malnutrition was common in this population. Low albumin was found in 973 (58% patients and a low TLC was found in 1,152 (68% patients. Low albumin and low TLC was found in 709 (42% of patients. Kaplan–Meier analysis shows any laboratory evidence of PEM is a significant (p < 0.001 predictor of hospital readmission. Low serum albumin (p < 0.001 and TLC (p = 0.018 show similar trends. Cox proportional-hazards regression analysis showed low serum albumin (Hazard Ratio 3.27, 95% CI [2.30–4.63] and higher DRG weight (Hazard Ratio 1.19, 95% CI [1.03–1.38] to be significant

  1. Future of the PCI Readmission Metric.

    Science.gov (United States)

    Wasfy, Jason H; Yeh, Robert W

    2016-03-01

    Between 2013 and 2014, the Centers for Medicare and Medicaid Services and the National Cardiovascular Data Registry publically reported risk-adjusted 30-day readmission rates after percutaneous coronary intervention (PCI) as a pilot project. A key strength of this public reporting effort included risk adjustment with clinical rather than administrative data. Furthermore, because readmission after PCI is common, expensive, and preventable, this metric has substantial potential to improve quality and value in American cardiology care. Despite this, concerns about the metric exist. For example, few PCI readmissions are caused by procedural complications, limiting the extent to which improved procedural technique can reduce readmissions. Also, similar to other readmission measures, PCI readmission is associated with socioeconomic status and race. Accordingly, the metric may unfairly penalize hospitals that care for underserved patients. Perhaps in the context of these limitations, Centers for Medicare and Medicaid Services has not yet included PCI readmission among metrics that determine Medicare financial penalties. Nevertheless, provider organizations may still wish to focus on this metric to improve value for cardiology patients. PCI readmission is associated with low-risk chest discomfort and patient anxiety. Therefore, patient education, improved triage mechanisms, and improved care coordination offer opportunities to minimize PCI readmissions. Because PCI readmission is common and costly, reducing PCI readmission offers provider organizations a compelling target to improve the quality of care, and also performance in contracts involve shared financial risk. © 2016 American Heart Association, Inc.

  2. Thirty-Day Readmission Risk Factors Following Single-Level Transforaminal Lumbar Interbody Fusion (TLIF) for 4992 Patients From the ACS-NSQIP Database.

    Science.gov (United States)

    Garcia, Roxanna M; Khanna, Ryan; Dahdaleh, Nader S; Cybulski, George; Lam, Sandi; Smith, Zachary A

    2017-05-01

    Retrospective cohort study. To describe the readmission rate and identify risk factors associated with 30-day readmission after transforaminal lumbar interbody fusion (TLIF) surgery. Patients who underwent elective single level TLIF surgery from 2011 to 2013 were identified in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Emergency or trauma cases were excluded. Preoperative, intraoperative, and postoperative variables were extracted. A multivariate binary regression identified predictors correlated with 30-day readmission. A total of 4992 patients were included in the analysis. The overall 30-day readmission rate was 5.51% (275/4992) for readmissions reported between 2011 to 2013. The mean age of patients readmitted was 62.40 years (standard error [SE] = 0.78) and 60.92 years (SE = 0.20) among those whom were not readmitted ( P = .05). The top three causes for readmission included postoperative pain control, deep or superficial surgical site infections. Predictors associated with 30-day readmission in a multivariate analysis included female gender (odds ratio [OR] = 1.27, 95% CI = 0.97-1.65), history of severe chronic obstructive pulmonary disease (OR = 1.81, 95% CI = 1.11-2.96), and in the postoperative period, American Society of Anesthesiologists class (OR = 1.30, 95% CI = 1.04-1.63), presence of superficial surgical site infection (OR= 18.23, 95% CI = 10.36-32.08), or urinary tract infection (OR = 4.93, 95% CI = 2.84-8.58). The readmission rate, risk factors, and causes following TLIF surgery are comparable to other lumbar spinal procedures reported from the ACS-NSQIP database.

  3. Social factors and readmission after inpatient detoxification in older alcohol-dependent patients

    NARCIS (Netherlands)

    van den Berg, Julia F.; van den Brink, Wim; Kist, Nicolien; Hermes, Jolanda S. J.; Kok, Rob M.

    2015-01-01

    Alcohol dependence is often a chronic relapsing disorder with frequent admissions to inpatient facilities. This study in older alcohol-dependent inpatients investigates the role of social factors in readmissions after inpatient detoxification. In a prospective study, 132 older alcohol-dependent

  4. Dispensing inhalers to patients with chronic obstructive pulmonary disease on hospital discharge: Effects on prescription filling and readmission.

    Science.gov (United States)

    Blee, John; Roux, Ryan K; Gautreaux, Stefani; Sherer, Jeffrey T; Garey, Kevin W

    2015-07-15

    The effects of dispensing inhalers to patients with chronic obstructive pulmonary disease (COPD) on hospital discharge were evaluated. Data were collected in 2011-12 for patients with COPD who had hospital orders for the study inhalers (preintervention group) and after implementation of the multidose medication dispensing on discharge (MMDD) service (2013-14) (postintervention group). The primary objective of this study was to assess inhaler adherence and readmission rates before and after MMDD implementation. Adherence was defined as filling the discharge prescription for the multidose inhaler at a Harris Health pharmacy within three days of discharge or having at least seven days of medication left in an inhaler from a previous prescription that was filled or refilled before hospital admission. All patients in the postintervention group were considered adherent, since every patient was given the remainder of his or her multidose inhaler when discharged. Data from 620 patients (412 in the preintervention group, 208 in the postintervention group) were collected. During the preintervention time period, 88 of 412 patients were readmitted within 30 days compared with 18 of 208 patients during the postintervention period (p filling behavior, and reduced rates of 30- and 60-day hospital readmissions. Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

  5. Quantitative tools for addressing hospital readmissions

    Directory of Open Access Journals (Sweden)

    Lagoe Ronald J

    2012-11-01

    Full Text Available Abstract Background Increased interest in health care cost containment is focusing attention on reduction of hospital readmissions. Major payors have already developed financial penalties for providers that generate excess readmissions. This subject has benefitted from the development of resources such as the Potentially Preventable Readmissions software. This process has encouraged hospitals to renew efforts to improve these outcomes. The aim of this study was to describe quantitative tools such as definitions, risk estimation, and tracking of patients for reducing hospital readmissions. Findings This study employed the Potentially Preventable Readmissions software to develop quantitative tools for addressing hospital readmissions. These tools included two definitions of readmissions that support identification and management of patients. They also included analytical approaches for estimation of the risk of readmission for individual patients by age, discharge status of the initial admission, and severity of illness. They also included patient specific spreadsheets for tracking of target populations and for evaluation of the impact of interventions. Conclusions The study demonstrated that quantitative tools including the development of definitions of readmissions, estimation of the risk of readmission, and patient specific spreadsheets could contribute to the improvement of patient outcomes in hospitals.

  6. Long-term non-invasive ventilation reduces readmissions in COPD patients with two or more episodes of acute hypercapnic respiratory failure

    DEFF Research Database (Denmark)

    Ankjærgaard, Kasper Linde; Maibom, Sophia Liff; Wilcke, Jon Torgny

    2016-01-01

    BACKGROUND: Chronic obstructive pulmonary disease (COPD) patients who have had an episode of acute hypercapnic respiratory failure (AHRF) have a large 1-year risk of death or readmission. Acute non-invasive ventilation (NIV) has been shown to be an effective treatment of AHRF; and long-term NIV.......88 (p=0.0092). Four patients (20%) died in 1 year. LTNIV tended to reduce arterial CO2. No changes were found in lung function. CONCLUSIONS: LTNIV seems effective in reducing recurrent AHRF and readmissions in a highly select group of patients with severe, unstable COPD and frequent AHRF....

  7. Frequency and risk factors associated with emergency medical readmissions in Galway University Hospitals.

    LENUS (Irish Health Repository)

    Gorman, J

    2010-06-01

    Unplanned readmissions of medical hospital patients have been increasing in recent years. We examined the frequency and associates of emergency medical readmissions to Galway University Hospitals (GUH).

  8. Use of CPAP in patients with obstructive sleep apnea admitted to the general ward: effect on length of stay and readmission rate.

    Science.gov (United States)

    Kamel, G; Munzer, K; Espiritu, J

    2016-09-01

    Obstructive sleep apnea (OSA) has been associated with multiple cardiovascular comorbidities. Despite increased awareness of OSA and its treatments, the management of OSA in the hospital setting remains below expectations. We retrospectively reviewed the demographics, clinical characteristics, and hospital course on 413 consecutive patients with a history of OSA on domiciliary CPAP therapy admitted to the general medical ward and analyzed the prevalence of CPAP use and its effect on length of stay (LOS), 30-day readmission rate, and time-to-readmission in our tertiary care teaching hospital. Of the 413 study participants, 264 (64.0 %) patients were receiving CPAP during their hospital admission. Patients who were receiving CPAP therapy during their hospitalization had a significantly higher body mass index (BMI) (41.4 vs. 36.8 kg/m(2), p CPAP therapy in the hospital setting did not affect LOS (4.7 vs. 4.0 days, p = 0.291), readmission rate (11.0 % for both groups), or time-to-readmission (20.8 vs. 22.3 days, p = 0.762). The majority of patients who are on domiciliary CPAP therapy were receiving CPAP therapy while admitted to the general medical ward of a tertiary care academic hospital. Presence of comorbid conditions such as obesity and certain cardiovascular diseases may have increased the likelihood of prescribing CPAP therapy while in the hospital. In-hospital CPAP therapy did not appear to significantly influence short-term outcomes such as hospital LOS, readmission rate, or time-to-readmission.

  9. Prescription for antidepressant in reducing future alcohol-related readmission in patients suffering from depression and alcohol use disorder: a retrospective medical record review.

    Science.gov (United States)

    Chan, Patrick; Yomen, Katie; Turcios, Jennifer; Richman, Mark

    2015-12-21

    Patients suffering from major depressive disorder are more likely to suffer from alcohol use disorder. The data is inconclusive for the effectiveness of antidepressant treatment of patients suffering from both illnesses in regards to improving sobriety and reducing alcohol-related healthcare expenses such as hospitalizations. The objective of this study is to determine if a new prescription of an antidepressant upon inpatient discharge is associated with a reduction in the number of future acute alcohol-related hospital readmissions to the same institution in patients suffering from major depressive disorder and alcohol-use disorder. A retrospective, medical record review study was conducted at a publicly-supported hospital in Sylmar, CA. A query was performed for adult patients admitted between 1/1/2005-12/31/2013 who had ICD-9 codes for both alcohol-use disorder and depression. Index admission was the first hospitalization in which the patient was currently consuming alcohol and had depression as identified by physician documentation as a problem. Acute alcohol-related admissions were those for alcohol intoxication or withdrawal (indicating current alcohol use). Patients were excluded if they were receiving an antidepressant on index admission, depressive disorder with a prescription for an antidepressant is not associated with a reduction in future readmissions, nor significantly increase the number of days to readmission. The study does not support the concept of antidepressants in reducing acute alcohol-related readmissions.

  10. Treating Dehydration at Home Avoids Healthcare Costs Associated With Emergency Department Visits and Hospital Readmissions for Adult Patients Receiving Home Parenteral Support.

    Science.gov (United States)

    Konrad, Denise; Roberts, Scott; Corrigan, Mandy L; Hamilton, Cindy; Steiger, Ezra; Kirby, Donald F

    2017-06-01

    Administration of home parenteral support (HPS) has proven to be cost-effective over hospital care. Avoiding hospital readmissions became more of a focus for healthcare institutions in 2012 with the implementation of the Affordable Care Act. In 2010, our service developed a protocol to treat dehydration at home for HPS patients by ordering additional intravenous fluids to be kept on hand and to focus patient education on the symptoms of dehydration. A retrospective analysis was completed through a clinical management database to identify HPS patients with dehydration. The hospital finance department and homecare pharmacy were utilized to determine potential cost avoidance. In 2009, 64 episodes (77%) of dehydration were successfully treated at home versus 6 emergency department (ED) visits (7.5%) and 13 readmissions (15.5%). In 2010, we successfully treated 170 episodes (84.5%) at home, with 9 episodes (4.5%) requiring ED visits and 22 hospital readmissions (11%). The number of dehydration episodes per patient was significantly higher in 2010 ( P dehydration identified and treated at home in 2010 versus 2009. Our protocol helped educate and provide the resources required to resolve dehydration at home when early signs were recognized. By reducing ED visits and hospital readmissions, healthcare costs were avoided by a factor of 29 when home treatment was successful.

  11. Unplanned readmission following transoral robotic surgery.

    Science.gov (United States)

    Topf, Michael C; Vo, Amanda; Tassone, Patrick; Shumrick, Christopher; Luginbuhl, Adam; Cognetti, David M; Curry, Joseph M

    2017-12-01

    To determine the rate of unplanned readmission after transoral robotic surgery (TORS), and to determine which patient or surgical factors increase the likelihood of readmission. Retrospective chart review of all patients who underwent TORS for squamous cell carcinoma at our institution from March 2010 through July 2016. Primary outcome was unplanned readmission to the hospital within 30 days of discharge. Univariable and multivariable logistic regression were performed to identify risk factors for unplanned readmission. 297 patients met eligibility criteria. 23 patients (7.7%) had unplanned readmissions within 30 days. Most common reasons for readmission were oropharyngeal bleed (n = 13) and pain/dehydration (n = 10). Average time to unplanned readmission was 6.52 days (range 0-25 days). Discharge on clopidogrel was the only variable independently associated with an increased risk of 30-day unplanned readmission on multivariable analysis with an OR = 6.85 (95% CI 1.59-26.36). Unplanned return to the operating room during initial hospitalization (OR = 7.55, 95% CI 1.26-38.50) and discharge on clopidogrel (OR = 10.45, 95% CI 1.06-82.69) were associated with increased risk of postoperative bleeding. Bilateral neck dissection (OR = 5.17, 95% CI 1.15-23.08) was associated with significantly increased odds of unplanned readmission secondary to pain and dehydration. Unplanned readmission following TORS occurs in a small but significant number of patients. Oropharyngeal bleeding and dehydration were the most common reasons for unplanned readmission following TORS. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Risk-adjustment models for heart failure patients' 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record.

    Science.gov (United States)

    Lenzi, Jacopo; Avaldi, Vera Maria; Hernandez-Boussard, Tina; Descovich, Carlo; Castaldini, Ilaria; Urbinati, Stefano; Di Pasquale, Giuseppe; Rucci, Paola; Fantini, Maria Pia

    2016-09-06

    Hospital discharge records (HDRs) are routinely used to assess outcomes of care and to compare hospital performance for heart failure. The advantages of using clinical data from medical charts to improve risk-adjustment models remain controversial. The aim of the present study was to evaluate the additional contribution of clinical variables to HDR-based 30-day mortality and readmission models in patients with heart failure. This retrospective observational study included all patients residing in the Local Healthcare Authority of Bologna (about 1 million inhabitants) who were discharged in 2012 from one of three hospitals in the area with a diagnosis of heart failure. For each study outcome, we compared the discrimination of the two risk-adjustment models (i.e., HDR-only model and HDR-clinical model) through the area under the ROC curve (AUC). A total of 1145 and 1025 patients were included in the mortality and readmission analyses, respectively. Adding clinical data significantly improved the discrimination of the mortality model (AUC = 0.84 vs. 0.73, p < 0.001), but not the discrimination of the readmission model (AUC = 0.65 vs. 0.63, p = 0.08). We identified clinical variables that significantly improved the discrimination of the HDR-only model for 30-day mortality following heart failure. By contrast, clinical variables made little contribution to the discrimination of the HDR-only model for 30-day readmission.

  13. Hospital Readmission Reduction

    Data.gov (United States)

    U.S. Department of Health & Human Services — In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured...

  14. Hospital Readmissions Reduction Program

    Data.gov (United States)

    U.S. Department of Health & Human Services — In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured...

  15. FPs lower hospital readmission rates and costs.

    Science.gov (United States)

    Chetty, Veerappa K; Culpepper, Larry; Phillips, Robert L; Rankin, Jennifer; Xierali, Imam; Finnegan, Sean; Jack, Brian

    2011-05-01

    Hospital readmission after discharge is often a costly failing of the U.S. health care system to adequately manage patients who are ill. Increasing the numbers of family physicians (FPs) is associated with significant reductions in hospital readmissions and substantial cost savings.

  16. Mortality risk factors during readmission at the Department of Medicine.

    Science.gov (United States)

    Trakulthong, Chayanis; Phunmanee, Anakapong

    2017-01-01

    Readmission is an indicator of quality of inpatient care. A study from Hong Kong found readmission mortality rate to be 5.1%. There are limited reports on risk factors for mortality other than co-morbid diseases in readmission patients. This study, thus, aims to evaluate risk factors for mortality during readmission. This study was conducted at a university hospital in Thailand. The inclusion criteria were patients aged ≥15 years and readmission to internal medicine wards within 28 days after discharge. The outcome of the study was death during readmission. Risk factors for readmission mortality were analyzed using multivariate logistic regression analysis. There were 10,389 admissions to the Department of Medicine, Khon Kaen University, of which 407 required readmission (3.90%). Of those patients, 75 (18.43%) died during readmission. There were 6 independent factors associated with death in patients who were readmitted, including advanced age (>60 years), presence of more than 2 co-morbid diseases, admission duration of >14 days, fever at previous discharge, low hemoglobin (readmission duration, presence of low hemoglobin at previous discharge, and numbers of procedures at readmission were significantly associated with increased mortality risk for readmission patients.

  17. Predictors of Readmission after Inpatient Plastic Surgery

    Directory of Open Access Journals (Sweden)

    Umang Jain

    2014-03-01

    Full Text Available Background Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD (odds ratio [OR], 2.01; confidence interval [CI], 1.12-3.60; P=0.020, previous percutaneous coronary intervention (PCI (OR, 2.69; CI, 1.21-5.97; P=0.015, hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001, bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046, American Society of Anesthesiologists (ASA class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004, and obesity (body mass index ≥30 (OR, 1.43; CI, 1.09-1.88, P=0.011 to be significant predictors of readmission. Conclusions Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.

  18. Variation in readmission expenditures after high-risk surgery.

    Science.gov (United States)

    Jacobs, Bruce L; He, Chang; Li, Benjamin Y; Helfand, Alex; Krishnan, Naveen; Borza, Tudor; Ghaferi, Amir A; Hollenbeck, Brent K; Helm, Jonathan E; Lavieri, Mariel S; Skolarus, Ted A

    2017-06-01

    The Hospital Readmissions Reduction Program reduces payments to hospitals with excess readmissions for three common medical conditions and recently extended its readmission program to surgical patients. We sought to investigate readmission intensity as measured by readmission cost for high-risk surgeries and examine predictors of higher readmission costs. We used the Healthcare Cost and Utilization Project's State Inpatient Database to perform a retrospective cohort study of patients undergoing major chest (aortic valve replacement, coronary artery bypass grafting, lung resection) and major abdominal (abdominal aortic aneurysm repair [open approach], cystectomy, esophagectomy, pancreatectomy) surgery in 2009 and 2010. We fit a multivariable logistic regression model with generalized estimation equations to examine patient and index admission factors associated with readmission costs. The 30-d readmission rate was 16% for major chest and 22% for major abdominal surgery (P readmission costs for both chest (odds ratio [OR]: 1.99; 95% confidence interval [CI]: 1.60-2.48) and abdominal surgeries (OR: 1.86; 95% CI: 1.24-2.78). Comorbidities, length of stay, and receipt of blood or imaging was associated with higher readmission costs for chest surgery patients. Readmission >3 wk after discharge was associated with lower costs among abdominal surgery patients. Readmissions after high-risk surgery are common, affecting about one in six patients. Predictors of higher readmission costs differ among major chest and abdominal surgeries. Better identifying patients susceptible to higher readmission costs may inform future interventions to either reduce the intensity of these readmissions or eliminate them altogether. Copyright © 2017 Elsevier Inc. All rights reserved.

  19. Reducing hospital readmission rates: current strategies and future directions.

    Science.gov (United States)

    Kripalani, Sunil; Theobald, Cecelia N; Anctil, Beth; Vasilevskis, Eduard E

    2014-01-01

    New financial penalties for institutions with high readmission rates have intensified efforts to reduce rehospitalization. Several interventions that involve multiple components (e.g., patient needs assessment, medication reconciliation, patient education, arranging timely outpatient appointments, and providing telephone follow-up) have successfully reduced readmission rates for patients discharged to home. The effect of interventions on readmission rates is related to the number of components implemented; single-component interventions are unlikely to reduce readmissions significantly. For patients discharged to postacute care facilities, multicomponent interventions have reduced readmissions through enhanced communication, medication safety, advanced care planning, and enhanced training to manage medical conditions that commonly precipitate readmission. To help hospitals direct resources and services to patients with greater likelihood of readmission, risk-stratification methods are available. Future work should better define the roles of home-based services, information technology, mental health care, caregiver support, community partnerships, and new transitional care personnel.

  20. Implementation between text and work-a qualitative study of a readmission prevention program targeting elderly patients.

    Science.gov (United States)

    Lehn, Sara Fokdal; Thuesen, Jette; Bunkenborg, Gitte; Zwisler, Ann-Dorthe; Rod, Morten Hulvej

    2018-03-01

    Numerous studies emphasize the importance of context in implementation. Successful implementation across the health care system depends on conditions and requirements that are often presented to health professionals through text-based materials and might present contradictory expectations to the work of health professionals. In this study, we operationalize institutional context as the text-based material, which from the perspective of health professionals, influence health care work. Via the case of a readmission prevention program for elderly patients, we examine the experiences of health professionals that work with implementation, concerning the contradictions that arise between the demands imposed by program implementation and their everyday work routines, and the role of text-based materials in these contradictions. We conducted five focus group interviews among health professionals working at different locations in a single administrative region of Denmark. The 24 health professionals in our study included hospital physicians, hospital nurses, medical secretaries, municipal care managers, registered municipal nurses, and general practitioners. All focus group interviews were transcribed verbatim. Inspired by institutional ethnography, we look into text-based materials, such as written guidelines, if health professionals indicate they are important. The health professionals experience that specific demands of the readmission prevention program come into conflict with the existing demands and daily work routines. Professional resistance to control and the existing digital communication tools create tensions with a program requirement for standardized enrollment of patients to the program. In addition, the striving for autonomy among health professionals and the high level of mono-professional working routines create tension with the program requirements for an additional amount of interdisciplinary work. The different demands are widely mediated by text

  1. What Impact Does Behavior of Doctors and Patients on Service Integration of Multi-institutional Readmission cross Township—county Hospitals in Rural China

    OpenAIRE

    Zhang, Yan; Tang, Wenxi; Zhang, Liang

    2017-01-01

    Background: With the change of rural residents’ disease spectrum and patients with chronic diseases boom, multi-institutional health service utilization of rural residents and the continuous service demands are growing sharply in rural China.Objective: Evaluate the service integration of multi-institutional readmission cross township—county hospitals (MRCTCH) in rural China, and figure out determines of service integration.Methods: This study featured 7 sample counties in rural China. Based o...

  2. The Efficacy of Written Information Intervention in Reduction of Hospital Re-admission Cost in Patients With Heart Failure; A Systematic Review and Meta-Analysis

    Directory of Open Access Journals (Sweden)

    Zarea Gavgani Vahideh

    2015-03-01

    Full Text Available Objective: To assess the efficacy of written information versus non written information intervention in reducing hospital readmission cost, if prescribed or presented to the patients with HF. Methods: The study was a systematic review and meta-analysis. We searched Medline (Ovidand Cochrane library during the past 20 years from 1993 to 2013. We also conducted a manual search through Google Scholar and a direct search in the group of related journals in Black Welland Science Direct trough their websites. Two reviewers appraised the identified studies, and meta-analysis was done to estimate the mean saving cost of patient readmission. All the included studies must have been done by randomization to be eligible for study. Result: We assessed the full-texts 3 out of 65 studies with 754 patients and average age of 74.33.The mean of estimated saving readmission cost in intervention group versus control group was US $2751 (95% CI: 2708 – 2794 and the mean of total saving cost in intervention group versus control group was US $2047 (base year 2010 with (95% CI: 2004 – 2089. No publication bias was found by testing the heterogeneity of studies. Conclusion: One of the effective factors in minimizing the healthcare cost and preventing from hospital re-admission is providing the patients with information prescription in a written format.It is suggested that hospital management, Medicare organizations, policy makers and individual physicians consider the prescription of appropriate medical information as the indispensable part of patient’s care process.

  3. Self-reported health-related quality of life predicts 5-year mortality and hospital readmissions in patients with ischaemic heart disease

    DEFF Research Database (Denmark)

    Hansen, Tina Birgitte; Thygesen, Lau Caspar; Zwisler, Ann-Dorthe

    2015-01-01

    BACKGROUND: Patient health-related quality of life (HRQL) is an important health outcome with lower HRQL associated with adverse events in patients with ischaemic heart disease (IHD). DESIGN: Baseline health-related quality of life was investigated as a predictor of 5-year all-cause mortality...... registries and hazard ratios for mortality and readmissions were estimated using Cox regression models. RESULTS: Among 938 eligible Danish patients with IHD, 662 (70.6%) participated in the international HeartQoL Project. During the 5-year follow-up, 83 patients died and 196 patients were readmitted...

  4. Readmissions for Selected Infections Due to Medical Care: Expanding the Definition of a Patient Safety Indicator

    National Research Council Canada - National Science Library

    Gallagher, Brian; Cen, Liyi; Hannan, Edward L

    2005-01-01

    Objective: Evaluate the Agency for Healthcare Research and Quality's Patient Safety Indicator that identifies patients with selected infections that result from medical care during hospital inpatient treatment...

  5. Can readmission after stroke be prevented?

    DEFF Research Database (Denmark)

    Andersen, H E; Schultz-Larsen, K; Kreiner, S

    2000-01-01

    that the effect of intervention was strongest for patients with a prolonged inpatient rehabilitation. CONCLUSIONS: Readmission is common among disabled stroke survivors. Follow-up intervention after discharge seems to be a way of preventing readmission, especially for patients with long inpatient rehabilitation.......BACKGROUND AND PURPOSE: About 50% of stroke survivors are discharged to their homes with lasting disability. Knowledge, however, of the importance of follow-up services that targets these patients is sparse. The purpose of the present study was to evaluate 2 models of follow-up intervention after...... discharge. The study hypothesis was that intervention could reduce readmission rates and institutionalization and prevent functional decline. We report the results regarding readmission. METHODS: This randomized study included 155 stroke patients with persistent impairment and disability who, after...

  6. Veterans Health Administration Readmissions and Deaths Data

    Data.gov (United States)

    U.S. Department of Health & Human Services — A list of VHA hospitals with data on readmissions and deaths. These data show how often patients who are hospitalized for certain conditions experience serious...

  7. Reducing Length of Stay, Direct Cost, and Readmissions in Total Joint Arthroplasty Patients With an Outcomes Manager-Led Interprofessional Team.

    Science.gov (United States)

    Arana, Melissa; Harper, Licia; Qin, Huanying; Mabrey, Jay

    The purpose of this quality improvement project was to determine whether an outcomes manager-led interprofessional team could reduce length of stay and direct cost without increasing 30-day readmission rates in the total joint arthroplasty patient population. The goal was to promote interprofessional relationships combined with collaborative practice to promote coordinated care with improved outcomes. Results from this project showed that length of stay (total hip arthroplasty [THA] reduced by 0.4 days and total knee arthroplasty [TKA] reduced by 0.6 days) and direct cost (THA reduced by $1,020 per case and TKA reduced by $539 per case) were significantly decreased whereas 30-day readmission rates of both populations were not significantly increased.

  8. Leisure Activity and Hospital Readmission of Short-Term Psychiatric Patients.

    Science.gov (United States)

    McMinn, Sheri B.; Lay, C. Marvin

    William Menninger (1948) reported research results indicating a significant relationship in a former patient's ability to stay well and his participation in recreation. J. Bates (1963) indicated one reason patients return to psychiatric facilities was the lack of skills that center around recreation. This study was conducted to investigate the…

  9. Identifying Metrics before and after Readmission following Head and Neck Surgery and Factors Affecting Readmission Rate.

    Science.gov (United States)

    Puram, Sidharth V; Bhattacharyya, Neil

    2018-05-01

    Objectives Determine nationally representative readmission rates after head and neck cancer (HNCA) surgery and factors associated with readmission. Study Design Cross-sectional analysis of admissions database. Methods The 2013 Nationwide Readmissions Database was analyzed for HNCA surgery admissions and subsequent readmission within 30 days. The readmission rate, length of stay (LOS), disposition, mortality rate, and total charges were determined. Diagnoses and procedures upon readmission were quantified. Factors that were associated with readmission were determined. Results In total, 132,755 HNCA surgery inpatient admissions (mean age, 57.3 years; 52.2% male) were analyzed. Nationally representative metrics for HNCA surgery were mean LOS (4.4 ± 0.1 days), disposition (home without services, 80.5%; home health care, 10.9%; and skilled facility, 6.6%), mortality rate (1.0% ± 0.1%), and total charges ($53,106 ± $1167). The readmission rate was 7.7% ± 0.2% (mean readmission postoperative days, 17.1 ± 0.1), with readmission LOS (5.6 ± 0.1 days), mortality rate (3.7% ± 0.3%), and total charges ($49,425 ± $1548). The most common diagnoses at readmission included surgical complications (15.5%), mental health and substance abuse (13.1%), hypertension (12.8%), septicemia/infection (12.1%), gastrointestinal disease (11.3%), nutritional/metabolic disorders (10.1%), electrolyte abnormalities (8.5%), and esophageal disorders (8.1%). In multivariate analyses, male sex, increasing All Patients Refined Diagnosis Related Group (APR-DRG) severity score, and initial LOS were associated with readmission (odds ratio [95% confidence interval], 1.11 [1.04-1.20], 1.94 [1.77-2.12], and 1.34 [1.22-1.48], respectively), whereas age and discharge location were not ( P = .361 and .482). Conclusion HNCA surgery readmission is associated with significant increases in services/skilled care on discharge, mortality, and additional total health care cost. This national analysis identifies

  10. Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions

    Science.gov (United States)

    Hsieh, Angela F; Lin, Zhenqiu; Bueno, Héctor; Ross, Joseph S; Horwitz, Leora I; Barreto-Filho, José Augusto; Kim, Nancy; Suter, Lisa G; Bernheim, Susannah M; Drye, Elizabeth E; Krumholz, Harlan M

    2013-01-01

    Objectives To determine whether high performing hospitals with low 30 day risk standardized readmission rates have a lower proportion of readmissions from specific diagnoses and time periods after admission or instead have a similar distribution of readmission diagnoses and timing to lower performing institutions. Design Retrospective cohort study. Setting Medicare beneficiaries in the United States. Participants Patients aged 65 and older who were readmitted within 30 days after hospital admission for heart failure, acute myocardial infarction, or pneumonia in 2007-09. Main outcome measures Readmission diagnoses were classified with a modified version of the Centers for Medicare and Medicaid Services’ condition categories, and readmission timing was classified by day (0-30) after hospital discharge. Hospital 30 day risk standardized readmission rates over the three years of study were calculated with public reporting methods of the US federal government, and hospitals were categorized with bootstrap analysis as having high, average, or low readmission performance for each index condition. High and low performing hospitals had ≥95% probability of having an interval estimate respectively less than or greater than the national 30 day readmission rate over the three year period of study. All remaining hospitals were considered average performers. Results For readmissions in the 30 days after the index admission, there were 320 003 after 1 291 211 admissions for heart failure (4041 hospitals), 102 536 after 517 827 admissions for acute myocardial infarction (2378 hospitals), and 208 438 after 1 135 932 admissions for pneumonia (4283 hospitals). The distribution of readmissions by diagnosis was similar across categories of hospital performance for all three conditions. High performing hospitals had fewer readmissions for all common diagnoses. Median time to readmission was similar by hospital performance for heart failure and acute myocardial

  11. Post-operative delirium is an independent predictor of 30-day hospital readmission after spine surgery in the elderly (≥65years old): A study of 453 consecutive elderly spine surgery patients.

    Science.gov (United States)

    Elsamadicy, Aladine A; Wang, Timothy Y; Back, Adam G; Lydon, Emily; Reddy, Gireesh B; Karikari, Isaac O; Gottfried, Oren N

    2017-07-01

    In the last decade, costs of U.S. healthcare expenditures have been soaring, with billions of dollars spent on hospital readmissions. Identifying causes and risk factors can reduce soaring readmission rates and help lower healthcare costs. The aim of this is to determine if post-operative delirium in the elderly is an independent risk factor for 30-day hospital readmission after spine surgery. The medical records of 453 consecutive elderly (≥65years old) patients undergoing spine surgery at Duke University Medical Center from 2008 to 2010 were reviewed. We identified 17 (3.75%) patients who experienced post-operative delirium according to DSM-V criteria. Patient demographics, comorbidities, and post-operative complication rates were collected for each patient. Elderly patients experiencing post-operative delirium had an increased length of hospital stay (10.47days vs. 5.70days, p=0.009). Complication rates were similar between the cohorts with the post-operative delirium patients having increased UTI and superficial surgical site infections. In total, 12.14% of patients were re-admitted within 30-days of discharge, with post-operative delirium patients experiencing approximately a 4-fold increase in 30-day readmission rates (Delirium: 41.18% vs. No Delirium: 11.01%, p=0.002). In a multivariate logistic regression analysis, post-operative delirium is an independent predictor of 30-day readmission after spine surgery in the elderly (p=0.03). Elderly patients experiencing post-operative delirium after spine surgery is an independent risk factor for unplanned readmission within 30-days of discharge. Preventable measures and early awareness of post-operative delirium in the elderly may help reduce readmission rates. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. WBC Associates with Readmission Following Cystectomy.

    Science.gov (United States)

    McIntosh, Andrew G; Li, Tianyu; Ito, Timothy; Mannion, Jason; Dziemianowicz, Mark; Waingankar, Nikhil; Haseebuddin, Mohammed; Chen, David Y T; Greenberg, Richard E; Viterbo, Rosalia; Kutikov, Alexander; Uzzo, Robert G; Smaldone, Marc C; Abbosh, Philip H

    2017-04-27

    Background: Radical cystectomy is associated with perioperative complication rates exceeding 50% in some series. Readmission rates are increasingly used as a surgical quality metric. White blood cell count is a crude surrogate for physiologic processes which may reflect postoperative complications leading to readmission. Objective: We assessed the association between final white blood cell count at discharge and risk of readmission following radical cystectomy. Methods: Records on 477 patients undergoing radical cystectomy from 2006-2013 were reviewed. Final white blood cell count was defined as the last documented value during index admission. Univariate analysis was performed using Fisher's exact, Wilcoxon rank sum test, and Spearman's coefficient tests where appropriate. Multivariable logistic regression models were used to test the associations between final white blood cell count and readmission. Results: 34% of patients were readmitted within 90 days of surgery. Amongst this cohort, a cutoff final white blood cell count of 9000/mm 3 was identified, with a significantly higher proportion of patients with values >9000/mm 3 experiencing readmission than those with values≤9000/mm 3 (42% vs 28%, p  = 0.004). Other perioperative variables associated with an increased readmission rate included initial hospital length of stay≤10 days, and receipt of a continent diversion. Following adjustment, final white blood cell count >9000/mm 3 was associated with increased risk of readmission (OR 2.09, 95% CI 1.23-3.53, p  = 0.006). Conclusions: Final white blood cell count is associated with hospital readmission following radical cystectomy. This metric may provide important guidance in discharge algorithms.

  13. The effect of the COACH program (Continuity Of Appropriate pharmacotherapy, patient Counselling and information transfer in Healthcare) on readmission rates in a multicultural population of internal medicine patients.

    Science.gov (United States)

    Karapinar-Carkit, Fatma; Borgsteede, Sander D; Zoer, Jan; Siegert, Carl; van Tulder, Maurits; Egberts, Antoine C G; van den Bemt, Patricia M L A

    2010-02-16

    Medication errors occur frequently at points of transition in care. The key problems causing these medication errors are: incomplete and inappropriate medication reconciliation at hospital discharge (partly arising from inadequate medication reconciliation at admission), insufficient patient information (especially within a multicultural patient population) and insufficient communication to the next health care provider. Whether interventions aimed at the combination of these aspects indeed result in less discontinuity and associated harm is uncertain. Therefore the main objective of this study is to determine the effect of the COACH program (Continuity Of Appropriate pharmacotherapy, patient Counselling and information transfer in Healthcare) on readmission rates in patients discharged from the internal medicine department. An experimental study is performed at the internal medicine ward of a general teaching hospital in Amsterdam, which serves a multicultural population. In this study the effects of the COACH program is compared with usual care using a pre-post study design. All patients being admitted with at least one prescribed drug intended for chronic use are included in the study unless they meet one of the following exclusion criteria: no informed consent, no medication intended for chronic use prescribed at discharge, death, transfer to another ward or hospital, discharge within 24 hours or out of office hours, discharge to a nursing home and no possibility to counsel the patient.The intervention consists of medication reconciliation, patient counselling and communication between the hospital and primary care healthcare providers.The following outcomes are measured: the primary outcome readmissions within six months after discharge and the secondary outcomes number of interventions, adherence, patient's attitude towards medicines, patient's satisfaction with medication information, costs, quality of life and finally satisfaction of general practitioners

  14. The effect of the COACH program (Continuity Of Appropriate pharmacotherapy, patient Counselling and information transfer in Healthcare on readmission rates in a multicultural population of internal medicine patients

    Directory of Open Access Journals (Sweden)

    van Tulder Maurits

    2010-02-01

    Full Text Available Abstract Background Medication errors occur frequently at points of transition in care. The key problems causing these medication errors are: incomplete and inappropriate medication reconciliation at hospital discharge (partly arising from inadequate medication reconciliation at admission, insufficient patient information (especially within a multicultural patient population and insufficient communication to the next health care provider. Whether interventions aimed at the combination of these aspects indeed result in less discontinuity and associated harm is uncertain. Therefore the main objective of this study is to determine the effect of the COACH program (Continuity Of Appropriate pharmacotherapy, patient Counselling and information transfer in Healthcare on readmission rates in patients discharged from the internal medicine department. Methods/Design An experimental study is performed at the internal medicine ward of a general teaching hospital in Amsterdam, which serves a multicultural population. In this study the effects of the COACH program is compared with usual care using a pre-post study design. All patients being admitted with at least one prescribed drug intended for chronic use are included in the study unless they meet one of the following exclusion criteria: no informed consent, no medication intended for chronic use prescribed at discharge, death, transfer to another ward or hospital, discharge within 24 hours or out of office hours, discharge to a nursing home and no possibility to counsel the patient. The intervention consists of medication reconciliation, patient counselling and communication between the hospital and primary care healthcare providers. The following outcomes are measured: the primary outcome readmissions within six months after discharge and the secondary outcomes number of interventions, adherence, patient's attitude towards medicines, patient's satisfaction with medication information, costs, quality of

  15. Predicting and preventing readmissions in kidney transplant recipients.

    Science.gov (United States)

    Covert, Kelly L; Fleming, James N; Staino, Carmelina; Casale, Jillian P; Boyle, Kimberly M; Pilch, Nicole A; Meadows, Holly B; Mardis, Caitlin R; McGillicuddy, John W; Nadig, Satish; Bratton, Charles F; Chavin, Kenneth D; Baliga, Prabhakar K; Taber, David J

    2016-07-01

    A lack of research exploring post-transplant process optimization to reduce readmissions and increasing readmission rates at our center from 2009 to 2013 led to this study, aimed at assessing the effect of patient and process factors on 30-d readmission rates after kidney transplantation. This was a retrospective case-control study in adult kidney transplant recipients. Univariate and multivariate analyses were utilized to assess patient and process determinants of 30-d readmissions. 384 patients were included; 30-d readmissions were significantly associated with graft loss and death (p = 0.001). Diabetes (p = 0.049), pharmacist identification of poor understanding or adherence, and prolonged time on hemodialysis prior to transplant were associated with an increased risk of 30-d readmissions. After controlling for risk factors, readmission rates were only independently predicted by pharmacist identification of patient lack of understanding or adherence regarding post-transplant medications and dialysis exposure for more than three yr (OR 2.3, 95% CI 1.10-4.71, p = 0.026 and OR 2.1, 95% CI 1.22, 3.70, respectively), both of which were significantly modified by history of diabetes. Thirty-d readmissions are attributable to both patient and process-level factors. These data suggest that a lack of post-transplant medication knowledge in high-risk patients drives early hospital readmission. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  16. The impact of methicillin-resistant S. aureus on length of stay, readmissions and costs: a register based case-control study of patients hospitalized in Norway

    Directory of Open Access Journals (Sweden)

    A. Elizabeth S. Andreassen

    2017-07-01

    Full Text Available Abstract Background Patients with methicillin-resistant S. aureus (MRSA are thought to incur additional costs for hospitals due to longer stay and contact isolation. The aim of this study was to assess the costs associated with MRSA in Norwegian hospitals. Methods Analyses were based on data fromSouth-Eastern Norway for the year 2012 as registered in the Norwegian Surveillance System for Communicable Diseases and the Norwegian Patient Registry. We used a matched case-control method to compare MRSA diagnosed inpatients with non-MRSA inpatients in terms of length of stay, readmissions within 30 days from discharge, as well as the Diagnosis-Related Group (DRG based costs. Results Norwegian patients with MRSA stayed on average 8 days longer in hospital than controls, corresponding to a ratio of mean duration of 2.08 (CI 95%, 1.75–2.47 times longer.A total of 14% of MRSA positive inpatients were readmitted compared to 10% among controls. However, the risk of readmission was not significantly higher for patients with MRSA. DRG based hospital costs were 0.37 (95% CI, 0.19–0.54 times higher among cases than controls, with a mean cost of EUR13,233(SD 26,899 and EUR7198(SD 18,159 respectively. Conclusion The results of this study indicate that Norwegian patients with MRSA have longer hospital stays, and higher costs than those without MRSA.

  17. Evaluating Patient Activation Measure (PAM) Scores and Readmission Rates Following Implementation of a Nurse-Initiated Multi-Faceted Strategy for Patients on a U.S. Navy Inpatient Oncology Unit: A Quality Improvement Project

    Science.gov (United States)

    2016-06-30

    5b. GRANT NUMBER N/A of a Nurse-Initiated Multi-Faceted Strategy for Patients on a U.S. Navy Inpatient Oncology Unit: A Quality...13. SUPPLEMENTARY NOTES N/A 14. ABSTRACT Background: Chronically ill patients often experience multiple hospitalizations. Oncology patients...have been shown to have more readmissions to the hospital than non- oncology patients. Recent reports estimate a $17.4 billion cost burden is

  18. Variation in Postsepsis Readmission Patterns: A Cohort Study of Veterans Affairs Beneficiaries

    Science.gov (United States)

    2017-01-01

    Rationale: Rehospitalization is common after sepsis, but little is known about the variation in readmission patterns across patient groups and care locations. Objectives: To examine the variation in postsepsis readmission rates and diagnoses by patient age, nursing facility use, admission year, and hospital among U.S. Veterans Affairs (VA) beneficiaries. Methods: Observational cohort study of VA beneficiaries who survived a sepsis hospitalization (2009–2011) at 114 VA hospitals, stratified by age (readmission after sepsis hospitalization and proportion of readmissions resulting from specific diagnoses, including the proportion of “potentially preventable” readmissions. Readmission diagnoses were similar from 2009 to 2011, with little variation in readmission rates across hospitals. The top six readmission diagnoses (heart failure, pneumonia, sepsis, urinary tract infection, acute renal failure, and chronic obstructive pulmonary disease) accounted for 30% of all readmissions. Although about one in five readmissions had a principal diagnosis for infection, 58% of all readmissions received early systemic antibiotics. Infection accounted for a greater proportion of readmissions among patients discharged to nursing facilities compared with patients discharged to home (25.0–27.1% vs. 16.8%) and among older vs. younger patients (22.2% vs. 15.8%). Potentially preventable readmissions accounted for a quarter of readmissions overall and were more common among older patients and patients discharged to nursing facilities. Conclusions: Hospital readmission rates after sepsis were similar by site and admission year. Heart failure, pneumonia, sepsis, and urinary tract infection were common readmission diagnoses across all patient groups. Readmission for infection and potentially preventable diagnoses were more common in older patients and patients discharged to nursing facilities. PMID:27854510

  19. Dementia and Hospital Readmission Rates: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Sabrina Pickens

    2017-10-01

    Full Text Available Background: Although community-dwelling persons with dementia have an increased risk of hospital readmission, no systematic review has examined the contribution of dementia to readmissions. Summary: We examined articles in English, with no restrictions on publication dates, from Medline, PubMed, PsycINFO, CINAHL, and EMBASE. Keywords used were dementia, Alzheimer disease, frontotemporal lobar degeneration, elderly, frontotemporal dementia, executive function, brain atrophy, frontal lobe atrophy, cognitive impairment, readmission, readmit, rehospitalization, patient discharge, and return visit. Of 404 abstracts identified, 77 articles were retrieved; 12 were included. Four of 5 cohort studies showed significantly increased readmission rates in patients with dementia. On average the absolute increase above the comparison groups was from 3 to 13%. Dementia was not associated with readmission in 7 included case-control studies. Key Message: Findings suggest a small increased risk of hospital readmission in individuals with dementia. More study is needed.

  20. 30-Day Hospital Readmission Following Otolaryngology Surgery: Analysis of a State Inpatient Database

    Science.gov (United States)

    Graboyes, Evan M.; Kallogjeri, Dorina; Saeed, Mohammed J.; Olsen, Margaret A.; Nussenbaum, Brian

    2017-01-01

    Objectives For patients undergoing inpatient otolaryngologic surgery, determine patient and hospital-level risk factors associated with 30-day readmission. Study Design Retrospective cohort study Methods We analyzed the State Inpatient Database (SID) from California for patients who underwent otolaryngologic surgery between 2008 and 2010. Readmission rates, readmission diagnoses, and patient- and hospital-level risk factors for 30-day readmission were determined. Hierarchical logistic regression modeling was performed to identify procedure-, patient-, and hospital-level risk factors for 30-day readmission. Results The 30-day readmission rate following an inpatient otolaryngology procedure was 8.1%. The most common readmission diagnoses were nutrition, metabolic or electrolyte problems (44% of readmissions) and surgical complications (10% of readmissions). New complications after discharge were the major drivers of readmission. Variables associated with 30-day readmission in hierarchical logistic regression modeling were: type of otolaryngologic procedure, Medicare or Medicaid health insurance, chronic anemia, chronic lung disease, chronic renal failure, index admission via the emergency department, in-hospital complication during the index admission, and discharge destination other than home. Conclusions Approximately one out of twelve patients undergoing otolaryngologic surgery had a 30-day readmission. Readmissions occur across a variety of types of procedures and hospitals. Most of the variability was driven by patient-specific factors, not structural hospital characteristics. PMID:27098654

  1. Mortality, readmission and length of stay have different relationships using hospital-level versus patient-level data: an example of the ecological fallacy affecting hospital performance indicators.

    Science.gov (United States)

    Hofstede, Stefanie N; van Bodegom-Vos, Leti; Kringos, Dionne S; Steyerberg, Ewout; Marang-van de Mheen, Perla J

    2018-06-01

    Ecological fallacy refers to an erroneous inference about individuals on the basis of findings for the group to which those individuals belong. Suppose analysis of a large database shows that hospitals with a high proportion of long length of stay (LOS) patients also have higher than average in-hospital mortality. This may prompt efforts to reduce mortality among patients with long LOS. But patients with long LOS may not be the ones at higher risk of death. It may be that hospitals with higher mortality (regardless of LOS) also have more long LOS patients-either because of quality problems on both counts or because of unaccounted differences in case mix. To provide more insight how the ecological fallacy influences the evaluation of hospital performance indicators, we assessed whether hospital-level associations between in-hospital mortality, readmission and long LOS reflect patient-level associations. Patient admissions from the Dutch National Medical Registration (2007-2012) for specific diseases (stroke, colorectal carcinoma, heart failure, acute myocardial infarction and hip/knee replacements in patients with osteoarthritis) were analysed, as well as all admissions. Logistic regression analysis was used to assess patient-level associations. Pearson correlation coefficients were used to quantify hospital-level associations. Overall, we observed 2.2% in-hospital mortality, 8.1% readmissions and a mean LOS of 5.9 days among 8 478 884 admissions in 95 hospitals. Of the 10 disease-specific associations tested, 2 were reversed at hospital-level, 3 were consistent and 5 were only significant at either hospital-level or patient-level. A reversed association was found for stroke: patients with long LOS had 58% lower in-hospital mortality (OR 0.42 (95% CI 0.40 to 0.44)), whereas the hospital-level association was reversed (r=0.30, plevel associations were found for each hospital, but LOS varied across hospitals, thereby resulting in a positive hospital-level association

  2. Readmission prediction via deep contextual embedding of clinical concepts.

    Science.gov (United States)

    Xiao, Cao; Ma, Tengfei; Dieng, Adji B; Blei, David M; Wang, Fei

    2018-01-01

    Hospital readmission costs a lot of money every year. Many hospital readmissions are avoidable, and excessive hospital readmissions could also be harmful to the patients. Accurate prediction of hospital readmission can effectively help reduce the readmission risk. However, the complex relationship between readmission and potential risk factors makes readmission prediction a difficult task. The main goal of this paper is to explore deep learning models to distill such complex relationships and make accurate predictions. We propose CONTENT, a deep model that predicts hospital readmissions via learning interpretable patient representations by capturing both local and global contexts from patient Electronic Health Records (EHR) through a hybrid Topic Recurrent Neural Network (TopicRNN) model. The experiment was conducted using the EHR of a real world Congestive Heart Failure (CHF) cohort of 5,393 patients. The proposed model outperforms state-of-the-art methods in readmission prediction (e.g. 0.6103 ± 0.0130 vs. second best 0.5998 ± 0.0124 in terms of ROC-AUC). The derived patient representations were further utilized for patient phenotyping. The learned phenotypes provide more precise understanding of readmission risks. Embedding both local and global context in patient representation not only improves prediction performance, but also brings interpretable insights of understanding readmission risks for heterogeneous chronic clinical conditions. This is the first of its kind model that integrates the power of both conventional deep neural network and the probabilistic generative models for highly interpretable deep patient representation learning. Experimental results and case studies demonstrate the improved performance and interpretability of the model.

  3. Patterns and determinants of acute psychiatric readmissions

    Directory of Open Access Journals (Sweden)

    Graham Michael Behr

    2002-12-01

    Full Text Available Objectives . Deinstitutionalisation and shortage of psychiatric beds worldwide has led to extensive research into the risk fac- tors and interventions associated with rapid and recurrent admission to hospital. Little research of this nature has taken place in South Africa, particularly with regard to acute hospital admissions. This study attempted primarily to assess the effect of length of stay and administration of depot antipsychotics in hospital on time to readmission. Design. A retrospective cohort of 180 admissions was fol- lowed up for 12 months, after an index discharge, by means of multiple hospital and community-based record reviews. Each readmission was analysed as an event using a survival analysis model. Setting. Chris Hani Baragwanath Hospital, Gauteng. Subjects. A random sample of patients admitted during a 6-month period in 1996. Outcome measures. Time to readmission. Results. Two hundred and eighty-four admissions were analysed. The only factor that provided a significant protective effect was being married or cohabiting ( P = 0.015. Clinic attendance showed a slight protective effect early on but con- ferred a significantly higher risk of readmission on those who had been out of hospital for a long period ( P = 0.001. Only 21% of discharged patients ever attended a clinic. The overall risk of readmission was significantly higher in the first 90 days post discharge. Conclusions. The lack of impact of length of hospital stay and use of depot neuroleptics on time to readmission may indicate that patients are being kept for appropriate duration and that the most ill patients are receiving depot medication. Several sampling and statistical artefacts may explain some of our findings. These results confirm the worldwide difficulty in finding consistent and accurate predictors of readmission. Low rates of successful referral to community aftercare need to be addressed before their effectiveness can be reasonably assessed. The inherent

  4. Does It Pay to Penalize Hospitals for Excess Readmissions? Intended and Unintended Consequences of Medicare's Hospital Readmissions Reductions Program.

    Science.gov (United States)

    Mellor, Jennifer; Daly, Michael; Smith, Molly

    2017-08-01

    To incentivize hospitals to provide better quality care at a lower cost, the Affordable Care Act of 2010 included the Hospital Readmissions Reduction Program (HRRP), which reduces payments to hospitals with excess 30-day readmissions for Medicare patients treated for certain conditions. We use triple difference estimation to identify the HRRP's effects in Virginia hospitals; this method estimates the difference in changes in readmission over time between patients targeted by the policy and a comparison group of patients and then compares those difference-in-differences estimates in patients treated at hospitals with readmission rates above the national average (i.e., those at risk for penalties) and patients treated at hospitals with readmission rates below or equal to the national average (those not at risk). We find that the HRRP significantly reduced readmission for Medicare patients treated for acute myocardial infarction (AMI). We find no evidence that hospitals delay readmissions, treat patients with greater intensity, or alter discharge status in response to the HRRP, nor do we find changes in the age, race/ethnicity, health status, and socioeconomic status of patients admitted for AMI. Future research on the specific mechanisms behind reduced AMI readmissions should focus on actions by healthcare providers once the patient has left the hospital. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  5. Communication and Framing Effects on Pneumonia Readmission Reduction

    OpenAIRE

    Halpin, Angela P.

    2015-01-01

    AbstractAs the eighth leading cause of death in the United States, pneumonia (PN) is relevant to the health of the elderly and the young. Accountability for readmission is part of the Affordable Care Act’s Hospital Readmissions Reduction Program (RRP), which levies penalty costs for readmissions. RRPs influence patients with pneumonia, accounting for over 1.1M discharges and comprising 18.5% of all readmissions. Since pneumonia is one of the targets of the RRP, this research proposes that pu...

  6. Evaluating Hospital Readmission Rates After Discharge From Inpatient Rehabilitation.

    Science.gov (United States)

    Daras, Laura Coots; Ingber, Melvin J; Carichner, Jessica; Barch, Daniel; Deutsch, Anne; Smith, Laura M; Levitt, Alan; Andress, Joel

    2017-08-09

    To examine facility-level rates of all-cause, unplanned hospital readmissions for 30 days after discharge from inpatient rehabilitation facilities (IRFs). Observational design. Inpatient rehabilitation facilities. Medicare fee-for-service beneficiaries (N=567,850 patient-stays). Not applicable. The outcome is all-cause, unplanned hospital readmission rates for IRFs. We adapted previous risk-adjustment and statistical approaches used for acute care hospitals to develop a hierarchical logistic regression model that estimates a risk-standardized readmission rate for each IRF. The IRF risk-adjustment model takes into account patient demographic characteristics, hospital diagnoses and procedure codes, function at IRF admission, comorbidities, and prior hospital utilization. We presented national distributions of observed and risk-standardized readmission rates and estimated confidence intervals to make statistical comparisons relative to the national mean. We also analyzed the number of days from IRF discharge until hospital readmission. The national observed hospital readmission rate by 30 days postdischarge from IRFs was 13.1%. The mean unadjusted readmission rate for IRFs was 12.4%±3.5%, and the mean risk-standardized readmission rate was 13.1%±0.8%. The C-statistic for our risk-adjustment model was .70. Nearly three-quarters of IRFs (73.4%) had readmission rates that were significantly different from the mean. The mean number of days to readmission was 13.0±8.6 days and varied by rehabilitation diagnosis. Our results demonstrate the ability to assess 30-day, all-cause hospital readmission rates postdischarge from IRFs and the ability to discriminate between IRFs with higher- and lower-than-average hospital readmission rates. Published by Elsevier Inc.

  7. Causes and Implications of Readmission after Abdominal Aortic Aneurysm Repair

    Science.gov (United States)

    Greenblatt, David Yu; Greenberg, Caprice C.; Kind, Amy J.H.; Havlena, Jeffrey A.; Mell, Matthew W.; Nelson, Matthew T.; Smith, Maureen A.; Kent, K. Craig

    2012-01-01

    Objective To determine the frequency, causes, predictors, and consequences of 30-day readmission after abdominal aortic aneurysm (AAA) repair. Summary Background Data CMS will soon reduce total Medicare reimbursements for hospitals with higher-than-predicted 30-day readmission rates after vascular surgical procedures including AAA repair. However, causes and factors leading to readmission in this population have never before been systematically analyzed. Methods We analyzed elective AAA repairs over a two-year period from the CMS Chronic Conditions Warehouse, a 5% national sample of Medicare beneficiaries. Results 2481 patients underwent AAA repair – 1502 endovascular (EVAR) and 979 open. 30-day readmission rates were equivalent for EVAR (13.3%) and open repair (12.8%). While wound complication was the most common reason for readmission after both procedures, the relative frequency of other causes differed – e.g., bowel obstruction was common following open repair and graft complication after EVAR. In multivariate analyses, preoperative comorbidities had a modest effect on readmission; however, postoperative factors including serious complications leading to prolonged length of stay and discharge destination other than home had a profound influence on the probability of readmission. The one-year mortality in readmitted patients was 23.4% versus 4.5% in those not readmitted (preadmission is common after AAA repair. Adjusting for comorbidities, postoperative events predict readmission, suggesting that proactively preventing, detecting, and managing postoperative complications may provide an approach to decreasing readmissions, with the potential to reduce cost and possibly enhance long-term survival. PMID:22964736

  8. High Mortality among 30-Day Readmission after Stroke: Predictors and Etiologies of Readmission

    Directory of Open Access Journals (Sweden)

    Amre M. Nouh

    2017-12-01

    Full Text Available BackgroundAlthough some risk factors for stroke readmission have been reported, the mortality risk is unclear. We sought to evaluate etiologies and predictors of 30-day readmissions and determine the associated mortality risk.MethodsThis is a retrospective case–control study evaluating 1,544 patients admitted for stroke (hemorrhagic, ischemic, or TIA from January 2013 to December 2014. Of these, 134 patients readmitted within 30 days were identified as cases; 1,418 other patients, with no readmissions were identified as controls. Patients readmitted for hospice or elective surgery were excluded. An additional 248 patients deceased on index admission were included for only a comparison of mortality rates. Factors explored included socio-demographic characteristics, clinical comorbidities, stroke characteristics, and length of stay. Chi-square test of proportions and multivariable logistic regression were used to identify independent predictors of 30-day stroke readmissions. Mortality rates were compared for index admission and readmission and among readmission diagnoses.ResultsAmong the 1,544 patients in the main analysis, 67% of index stroke admissions were ischemic, 22% hemorrhagic, and 11% TIA. The 30-day readmission rate was 8.7%. The most common etiologies for readmission were infection (30%, recurrent stroke and TIA (20%, and cardiac complications (14%. Significantly higher proportion of those readmitted for recurrent strokes and TIAs presented within the first week (p = 0.039 and had a shorter index admission length of stay (p = 0.027. Risk factors for 30-day readmission included age >75 (p = 0.02, living in a facility prior to index stroke (p = 0.01, history of prior stroke (p = 0.03, diabetes (p = 0.03, chronic heart failure (p ≤ 0.001, atrial fibrillation (p = 0.03, index admission to non-neurology service (p < 0.01, and discharge to other than home (p < 0.01. On multivariate analysis, index

  9. High Mortality among 30-Day Readmission after Stroke: Predictors and Etiologies of Readmission.

    Science.gov (United States)

    Nouh, Amre M; McCormick, Lauren; Modak, Janhavi; Fortunato, Gilbert; Staff, Ilene

    2017-01-01

    Although some risk factors for stroke readmission have been reported, the mortality risk is unclear. We sought to evaluate etiologies and predictors of 30-day readmissions and determine the associated mortality risk. This is a retrospective case-control study evaluating 1,544 patients admitted for stroke (hemorrhagic, ischemic, or TIA) from January 2013 to December 2014. Of these, 134 patients readmitted within 30 days were identified as cases; 1,418 other patients, with no readmissions were identified as controls. Patients readmitted for hospice or elective surgery were excluded. An additional 248 patients deceased on index admission were included for only a comparison of mortality rates. Factors explored included socio-demographic characteristics, clinical comorbidities, stroke characteristics, and length of stay. Chi-square test of proportions and multivariable logistic regression were used to identify independent predictors of 30-day stroke readmissions. Mortality rates were compared for index admission and readmission and among readmission diagnoses. Among the 1,544 patients in the main analysis, 67% of index stroke admissions were ischemic, 22% hemorrhagic, and 11% TIA. The 30-day readmission rate was 8.7%. The most common etiologies for readmission were infection (30%), recurrent stroke and TIA (20%), and cardiac complications (14%). Significantly higher proportion of those readmitted for recurrent strokes and TIAs presented within the first week ( p  = 0.039) and had a shorter index admission length of stay ( p  = 0.027). Risk factors for 30-day readmission included age >75 ( p  = 0.02), living in a facility prior to index stroke ( p  = 0.01), history of prior stroke ( p  = 0.03), diabetes ( p  = 0.03), chronic heart failure ( p  ≤ 0.001), atrial fibrillation ( p  = 0.03), index admission to non-neurology service ( p  readmission ( p  ≤ 0.01). The mortality after a within 30-day readmission after stroke was higher

  10. PRISMA Analysis of 30 Day Readmissions to a Tertiary Cancer Hospital

    DEFF Research Database (Denmark)

    Cooksley, Tim; Merten, Hanneke; Kellett, John

    2015-01-01

    BACKGROUND: Hospital readmissions are increasingly used as a quality indicator. Patients with cancer have an increased risk of readmission. The purpose of this study was to develop an in depth understanding of the causes of readmissions in patients undergoing cancer treatment using PRISMA...... methodology and was subsequently used to identify any potentially preventable causes of readmission in this cohort. METHODS: 50 consecutive 30 day readmissions from the 1st November 2014 to the medical admissions unit (MAU) at a specialist tertiary cancer hospital in the Northwest of England were analysed...... retrospectively. RESULTS: Q25(50%) of the patients were male with a median age of 59 years (range 19-81). PRISMA analysis showed that active (human) factors contributed to the readmission of 4 (8%) of the readmissions, which may have been potentially preventable. All of the readmissions were driven by a medical...

  11. Causes and Timing of Unplanned Early Readmission After Neurosurgery.

    Science.gov (United States)

    Taylor, Blake E S; Youngerman, Brett E; Goldstein, Hannah; Kabat, Daniel H; Appelboom, Geoffrey; Gold, William E; Connolly, Edward Sander

    2016-09-01

    Reducing the rate of 30-day hospital readmission has become a priority in healthcare quality improvement policy, with a focus on better characterizing the reasons for unplanned readmission. In neurosurgery, however, peer-reviewed analyses describing the patterns of readmission have been limited in their number and generalizability. To determine the incidence, timing, and causes of 30-day readmission after neurosurgical procedures. We conducted a retrospective longitudinal study from 2009 to 2012 using the Statewide Planning And Research Cooperative System, which collects patient-level details for all admissions and discharges within New York. We identified patients readmitted within 30 days of initial discharge. The rate of, reasons for, and time to readmission were determined overall and within 4 subgroups: craniotomies, cranial surgery without craniotomy, spine, and neuroendovascular procedures. There were 163 743 index admissions, of whom 14 791 (9.03%) were readmitted. The most common reasons for unplanned readmission were infection (29.52%) and medical complications (19.22%). Median time to readmission was 11 days, with hemorrhagic strokes and seizures occurring earlier, and medical complications and infections occurring later. Readmission rates were highest among patients undergoing cerebrospinal fluid shunt revision and malignant tumor resection (15.57%-22.60%). Spinal decompressions, however, accounted for the largest volume of readmissions (33.13%). Many readmissions may be preventable and occur at predictable time intervals. The causes and timing of readmission vary significantly across neurosurgical subgroups. Future studies should focus on detecting specific complications in select cohorts at predefined time points, which may allow for interventions to lower costs and reduce patient morbidity. CSF, cerebrospinal fluidIQR, interquartile rangeSPARCS, Statewide Planning And Research Cooperative System.

  12. Trends in hospital admissions, re-admissions, and in-hospital mortality among HIV-infected patients between 1993 and 2013: Impact of hepatitis C co-infection.

    Science.gov (United States)

    Meijide, Héctor; Mena, Álvaro; Rodríguez-Osorio, Iria; Pértega, Sonia; Castro-Iglesias, Ángeles; Rodríguez-Martínez, Guillermo; Pedreira, José; Poveda, Eva

    2017-01-01

    New patterns in epidemiological characteristics of people living with HIV infection (PLWH) and the introduction of Highly Active Antiretroviral Therapy (HAART) have changed the profile of hospital admissions in this population. The aim of this study was to evaluate trends in hospital admissions, re-admissions, and mortality rates in HIV patients and to analyze the role of HCV co-infection. A retrospective cohort study conducted on all hospital admissions of HIV patients between 1993 and 2013. The study time was divided in two periods (1993-2002 and 2003-2013) to be compared by conducting a comparative cross-sectional analysis. A total of 22,901 patient-years were included in the analysis, with 6917 hospital admissions, corresponding to 1937 subjects (75% male, mean age 36±11 years, 37% HIV/HCV co-infected patients). The median length of hospital stay was 8 days (5-16), and the 30-day hospital re-admission rate was 20.1%. A significant decrease in hospital admissions related with infectious and psychiatric diseases was observed in the last period (2003-2013), but there was an increase in those related with malignancies, cardiovascular, gastrointestinal, and chronic respiratory diseases. In-hospital mortality remained high (6.8% in the first period vs. 6.3% in the second one), with a progressive increase of non-AIDS-defining illness deaths (37.9% vs. 68.3%, P<.001). The admission rate significantly dropped after 1996 (4.9% yearly), but it was less pronounced in HCV co-infected patients (1.7% yearly). Hospital admissions due to infectious and psychiatric disorders have decreased, with a significant increase in non-AIDS-defining malignancies, cardiovascular, and chronic respiratory diseases. In-hospital mortality is currently still high, but mainly because of non-AIDS-defining illnesses. HCV co-infection increased the hospital stay and re-admissions during the study period. Copyright © 2016 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y

  13. Thirty-day readmission after spontaneous intracerebral hemorrhage.

    Science.gov (United States)

    Bjerkreim, Anna Therese; Khanevski, Andrej Netland; Glad, Solveig Bergliot; Thomassen, Lars; Naess, Halvor; Logallo, Nicola

    2018-03-01

    Intracerebral hemorrhage (ICH) is the most severe form of stroke, but data on readmission after ICH are sparse. We aimed to determine frequency, causes, and predictors of 30-day readmission after ICH. This retrospective cohort study includes all spontaneous ICH survivors admitted to the stroke unit at Haukeland University Hospital in Bergen in Norway from July 2007 to December 2013. Patients were followed by review of electronic medical charts, and the first unplanned readmission within 30 days after discharge was used as final outcome. Cox regression analysis was performed to identify predictors of 30-day readmission. We identified 226 patients with spontaneous ICH, 70 (31.0%) of whom died before discharge or were discharged to palliative care. Of the remaining 156 ICH survivors, 28 (18.0%) were readmitted within 30 days. Median time to readmission was 12 days (IQR 4.5 - 18.5). Most patients were readmitted due to infections ( N  = 13). None of the patients were readmitted with recurrent stroke. Pneumonia and enteral feeding during the index hospitalization were associated with readmission for infections (both p  readmission (HR 1.06, 95% CI 1.02 - 1.11, p  =   .006). Almost one in five of our spontaneous ICH survivors was readmitted within 30 days, and most readmissions were caused by infections.

  14. Emergency readmission following acute upper gastrointestinal bleeding

    DEFF Research Database (Denmark)

    Strömdahl, Martin; Helgeson, Johan; Kalaitzakis, Evangelos

    2017-01-01

    OBJECTIVE: To assess the occurrence, clinical predictors, and associated mortality of all-cause emergency readmissions after acute upper gastrointestinal bleeding (AUGIB). PATIENTS AND METHODS: All patients with AUGIB from an area of 600 000 inhabitants in Sweden admitted in a single institution...

  15. Thirty-Day Readmission Rates in Orthopedics: A Systematic Review and Meta-Analysis

    Science.gov (United States)

    Bernatz, James T.; Tueting, Jonathan L.; Anderson, Paul A.

    2015-01-01

    Background Hospital readmission rates are being used to evaluate performance. A survey of the present rates is needed before policies can be developed to decrease incidence of readmission. We address three questions: What is the present rate of 30-day readmission in orthopedics? How do factors such as orthopedic specialty, data source, patient insurance, and time of data collection affect the 30-day readmission rate? What are the causes and risk factors for 30-day readmissions? Methods/Findings A review was first registered with Prospero (CRD42014010293, 6/17/2014) and a meta-analysis was performed to assess the current 30-day readmission rate in orthopedics. Studies published after 2006 were retrieved, and 24 studies met the inclusion criteria. The 30-day readmission rate was extrapolated from each study along with the orthopedic subspecialty, data source, patient insurance, time of collection, patient demographics, and cause of readmission. A sensitivity analysis was completed on the stratified groups. The overall 30-day readmission rate across all orthopedics was 5.4 percent (95% confidence interval: 4.8,6.0). There was no significant difference between subspecialties. Studies that retrieved data from a multicenter registry had a lower 30-day readmission rate than those reporting data from a single hospital or a large national database. Patient populations that only included Medicare patients had a higher 30-day readmission rate than populations of all insurance. The 30-day readmission rate has decreased in the past ten years. Age, length of stay, discharge to skilled nursing facility, increased BMI, ASA score greater than 3, and Medicare/Medicaid insurance showed statistically positive correlation with increased 30-day readmissions in greater than 75 percent of studies. Surgical site complications accounted for 46 percent of 30-day readmissions. Conclusions This meta-analysis shows the present rate of 30-day readmissions in orthopedics. Demonstrable

  16. Readmission and overstay after day case nasal surgery

    Directory of Open Access Journals (Sweden)

    McCormack David

    2004-10-01

    Full Text Available Abstract Background A readmission is classified as a patient necessitating readmission to hospital due to a post-operative complication following discharge. An overstay however, is classified as a patient having to stay longer than the planned duration in hospital (not having been discharged in the interim due to a post-operative complication. This study aims to investigate patient-related factors that predispose to readmission or overstay and thus make recommendations to decrease the likelihood of readmission or overstay. Method In this retrospective study 312 'day-case nasal procedures', were selected from a total cohort of 4274 ENT patients over a 17-month period. This sub-group was investigated for a range of demographic factors including, age, gender and ethnicity with regards to their relationship to readmission rates and overstay frequency and duration. Results The rates were 2.88% and 9.62% for readmission and overstay respectively. The total number of days spent in hospital as a result of readmission was 27. Epistaxis was the leading cause for readmission/overstay (28.9% followed by high levels of post-operative pain preventing them from being discharged (23.7%. All procedures in this study had readmission rates that were below those recommended in the guidelines set by the Royal College of Surgeons of England. Women overstayed significantly longer (t = 1.65, p Conclusions Suitable candidates for day-case ENT surgery highlighted by this study include healthy individuals between the ages of 20 and 60. Operating in the morning would increase the immediate post-operative recovery time, which may reduce the numbers of patients who complain of high levels of pain at the time of discharge. Procedures such as septorhinoplasty being performed routinely in the ambulatory setting require additional research into more effective methods of pain control. Standards need to be improved so that the causes of overstay and readmission are clearly

  17. Patterns of Ninety-Day Readmissions Following Total Joint Replacement in a Bundled Payment Initiative.

    Science.gov (United States)

    Behery, Omar A; Kester, Benjamin S; Williams, Jarrett; Bosco, Joseph A; Slover, James D; Iorio, Richard; Schwarzkopf, Ran

    2017-04-01

    Alternative payment models aim to improve quality and decrease costs associated with total joint replacement. Postoperative readmissions within 90 days are of interest to clinicians and administrators as there is no additional reimbursement beyond the episode bundled payment target price. The aim of this study is to improve the understanding of the patterns of readmission which would better guide perioperative patient management affecting readmissions. We hypothesize that readmissions have different timing, location, and patient health profile patterns based on whether the readmission is related to a medical or surgical diagnosis. A retrospective cohort of 80 readmissions out of 1412 total joint replacement patients reimbursed through a bundled payment plan was analyzed. Patients were grouped by readmission diagnosis (surgical or medical) and the main variables analyzed were time to readmission, location of readmission, and baseline Perioperative Orthopaedic Surgical Home and American Society of Anesthesiologists scores capturing pre-existing state of health. Nonparametric tests and multivariable regressions were used to test associations. Surgical readmissions occurred earlier than medical readmissions (mean 18 vs 33 days, P = .011), and were more likely to occur at the hospital where the surgery was performed (P = .035). Perioperative Orthopaedic Surgical Home and American Society of Anesthesiologists scores did not predict medical vs surgical readmissions (P = .466 and .879) after adjusting for confounding variables. Readmissions appear to follow different patterns depending on whether they are surgical or medical. Surgical readmissions occur earlier than medical readmissions, and more often at the hospital where the surgery was performed. The results of this study suggest that these 2 types of readmissions have different patterns with different implications toward perioperative care and follow-up after total joint replacement. Copyright © 2016 Elsevier Inc

  18. Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission Risk Score.

    Science.gov (United States)

    Tabak, Ying P; Sun, Xiaowu; Nunez, Carlos M; Gupta, Vikas; Johannes, Richard S

    2017-03-01

    Identifying patients at high risk for readmission early during hospitalization may aid efforts in reducing readmissions. We sought to develop an early readmission risk predictive model using automated clinical data available at hospital admission. We developed an early readmission risk model using a derivation cohort and validated the model with a validation cohort. We used a published Acute Laboratory Risk of Mortality Score as an aggregated measure of clinical severity at admission and the number of hospital discharges in the previous 90 days as a measure of disease progression. We then evaluated the administrative data-enhanced model by adding principal and secondary diagnoses and other variables. We examined the c-statistic change when additional variables were added to the model. There were 1,195,640 adult discharges from 70 hospitals with 39.8% male and the median age of 63 years (first and third quartile: 43, 78). The 30-day readmission rate was 11.9% (n=142,211). The early readmission model yielded a graded relationship of readmission and the Acute Laboratory Risk of Mortality Score and the number of previous discharges within 90 days. The model c-statistic was 0.697 with good calibration. When administrative variables were added to the model, the c-statistic increased to 0.722. Automated clinical data can generate a readmission risk score early at hospitalization with fair discrimination. It may have applied value to aid early care transition. Adding administrative data increases predictive accuracy. The administrative data-enhanced model may be used for hospital comparison and outcome research.

  19. Drivers and Risk Factors of Unplanned 30-Day Readmission Following Spinal Cord Stimulator Implantation.

    Science.gov (United States)

    Elsamadicy, Aladine A; Sergesketter, Amanda; Ren, Xinru; Mohammed Qasim Hussaini, Syed; Laarakker, Avra; Rahimpour, Shervin; Ejikeme, Tiffany; Yang, Siyun; Pagadala, Promila; Parente, Beth; Xie, Jichun; Lad, Shivanand P

    2018-01-01

    Unplanned 30-day readmission rates contribute significantly to growing national healthcare expenditures. Drivers of unplanned 30-day readmission after spinal cord stimulator (SCS) implantation are relatively unknown. The aim of this study was to determine drivers of 30-day unplanned readmission following SCS implantation. The National Readmission Database was queried to identify all patients who underwent SCS implantation for the 2013 calendar year. Patients were grouped by readmission status, "No Readmission" and "Unplanned 30-day Readmission." Patient demographics and comorbidities were collected for each patient. The primary outcome of interest was the rate of unplanned 30-day readmissions and associated driving factors. A multivariate analysis was used to determine independent predictors of unplanned 30-day readmission after SCS implantation. We identified 1521 patients who underwent SCS implantation, with 113 (7.4%) experiencing an unplanned readmission within 30 days. Baseline patient demographics, comorbidities, and hospital characteristics were similar between both cohorts. The three main drivers for 30-day readmission after SCS implantation include: 1) infection (not related to SCS device), 2) infection due to device (limited to only hardware infection), and 3) mechanical complication of SCS device. Furthermore, obesity was found to be an independent predictor of 30-day readmission (OR: 1.86, p = 0.008). Our study suggests that infectious and mechanical complications are the primary drivers of unplanned 30-day readmission after SCS implantation, with obesity as an independent predictor of unplanned readmission. Given the technological advancements in SCS, repeated studies are necessary to identify factors associated with unplanned 30-day readmission rates after SCS implantation to improve patient outcomes and reduce associated costs. © 2017 International Neuromodulation Society.

  20. Exploring the preventable causes of unplanned readmissions using root cause analysis

    DEFF Research Database (Denmark)

    Fluitman, K. S.; van Galen, L. S.; Merten, H

    2016-01-01

    Importance: Unplanned readmissions within 30 days are a common phenomenon in everyday practice and lead to increasing costs. Although many studies aiming to analyze the probable causes leading to unplanned readmissions have been performed, an in depth-study analyzing the human (healthcare worker...... and unpreventable readmissions. Results: Most root causes for readmission were disease-related (46%), followed by human (healthcare worker)-(33%) and patient-(15%) related root causes. Half of the readmissions studied were considered to be potentially preventable. Preventable readmissions predominantly had human......-related (coordination) failures. Conclusion and relevance: Our study suggests that improving human-related (coordinating) factors contributing to a readmission can potentially decrease the number of preventable readmissions. (C) 2015 European Federation of Internal Medicine. Published by Elsevier B.V. All rights...

  1. Effect of Ambulatory Transitional Care Management on 30-Day Readmission Rates.

    Science.gov (United States)

    Ballard, Jonathan; Rankin, Wade; Roper, Karen L; Weatherford, Sarah; Cardarelli, Roberto

    2018-05-01

    A process improvement initiative for transitional care management (TCM) was evaluated for effectiveness in reducing 30-day readmission rates in a retrospective cohort study. Regression models analyzed the association between level of TCM component implementation and readmission rates among patients discharged from a university medical center hospital. Of the 1884 patients meeting inclusion criteria, only 3.7% (70) experienced a 30-day readmission. Patients receiving the full complement of TCM had 86.6% decreased odds of readmission compared with patients who did not receive TCM ( P < .001). However, the complete package of TCM services under Medicare guidelines may not be essential. A postdischarge telephone call did not reduce readmission odds, provided a TCM office visit occurred. Important for risk assessment models targeting patients for TCM, the number of previous hospital admissions, not age, predicted 30-day readmission risk. This study provides evidence that primary care-based TCM can reduce 30-day readmissions even when overall rates are low.

  2. Preoperative Scale to Determine All-Cause Readmission After Coronary Artery Bypass Operations.

    Science.gov (United States)

    Zywot, Aleksander; Lau, Christine S M; Glass, Nina; Bonne, Stephanie; Hwang, Franchesca; Goodman, Koren; Mosenthal, Anne; Paul, Subroto

    2018-04-01

    Coronary artery bypass graft (CABG) operations are associated with all-cause readmission rates of approximately 15%. In attempts to reduce readmission rates, the Hospital Readmission Reduction Program expanded to include CABG operations in 2015. The aim of this study was therefore to develop a predictive readmission scale that would identify patients at higher risk of readmission after CABG using commonly available administrative data. Data of 126,519 patients from California and New York (derivation cohort) and 94,318 patients from Florida and Washington (validation cohort) were abstracted from the State Inpatient Database (2006 to 2011). The readmission after CABG scale was developed to predict 30-day readmission risk and was validated against a separate cohort. Thirty-day CABG readmission rates were 23% in the derivation cohort and 21% in the validation cohort. Predictive factors included older age, female gender (odds ratio [OR], 1.34), African American ethnicity (OR, 1.13), Medicare or Medicaid insurance, and comorbidities, including renal failure (OR, 1.56) and congestive heart failure (OR, 2.82). These were independently predictive of increased readmission rates (p readmission scale was then created with these preoperative factors. When applied to the validation cohort, it explained 98% of the readmission variability. The readmission after CABG scale reliably predicts a patient's 30-day CABG readmission risk. By identifying patients at high-risk for readmission before their procedure, risk reduction strategies can be implemented to reduce readmissions and healthcare expenditures. Copyright © 2018 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

  3. A Novel Risk Scoring System Reliably Predicts Readmission Following Pancreatectomy

    Science.gov (United States)

    Valero, Vicente; Grimm, Joshua C.; Kilic, Arman; Lewis, Russell L.; Tosoian, Jeffrey J.; He, Jin; Griffin, James; Cameron, John L.; Weiss, Matthew J.; Vollmer, Charles M.; Wolfgang, Christopher L.

    2015-01-01

    Background Postoperative readmissions have been proposed by Medicare as a quality metric and may impact provider reimbursement. Since readmission following pancreatectomy is common, we sought to identify factors associated with readmission in order to establish a predictive risk scoring system (RSS). Study Design A retrospective analysis of 2,360 pancreatectomies performed at nine, high-volume pancreatic centers between 2005 and 2011 was performed. Forty-five factors strongly associated with readmission were identified. To derive and validate a RSS, the population was randomly divided into two cohorts in a 4:1 fashion. A multivariable logistic regression model was constructed and scores were assigned based on the relative odds ratio of each independent predictor. A composite Readmission After Pancreatectomy (RAP) score was generated and then stratified to create risk groups. Results Overall, 464 (19.7%) patients were readmitted within 90-days. Eight pre- and postoperative factors, including prior myocardial infarction (OR 2.03), ASA Class ≥ 3 (OR 1.34), dementia (OR 6.22), hemorrhage (OR 1.81), delayed gastric emptying (OR 1.78), surgical site infection (OR 3.31), sepsis (OR 3.10) and short length of stay (OR 1.51), were independently predictive of readmission. The 32-point RAP score generated from the derivation cohort was highly predictive of readmission in the validation cohort (AUC 0.72). The low (0-3), intermediate (4-7) and high risk (>7) groups correlated to 11.7%, 17.5% and 45.4% observed readmission rates, respectively (preadmission following pancreatectomy. Identification of patients with increased risk of readmission using the RAP score will allow efficient resource allocation aimed to attenuate readmission rates. It also has potential to serve as a new metric for comparative research and quality assessment. PMID:25797757

  4. A systematic review of 30-day readmission after cranial neurosurgery.

    Science.gov (United States)

    Cusimano, Michael D; Pshonyak, Iryna; Lee, Michael Y; Ilie, Gabriela

    2017-08-01

    OBJECTIVE The 30-day readmission rate has emerged as an important marker of the quality of in-hospital care in several fields of medicine. This review aims to summarize available research reporting readmission rates after cranial procedures and to establish an association with demographic, clinical, and system-related factors and clinical outcomes. METHODS The authors conducted a systematic review of several databases; a manual search of the Journal of Neurosurgery, Neurosurgery, Acta Neurochirurgica, Canadian Journal of Neurological Sciences; and the cited references of the selected articles. Quality review was performed using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) criteria. Findings are reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. RESULTS A total of 1344 articles published between 1947 and 2015 were identified; 25 were considered potentially eligible, of which 12 met inclusion criteria. The 30-day readmission rates varied from 6.9% to 23.89%. Complications arising during or after neurosurgical procedures were a prime reason for readmission. Race, comorbidities, and longer hospital stay put patients at risk for readmission. CONCLUSIONS Although readmission may be an important indicator for good care for the subset of acutely declining patients, neurosurgery should aim to reduce 30-day readmission rates with improved quality of care through systemic changes in the care of neurosurgical patients that promote preventive measures.

  5. Etiology of Readmissions Following Orthopaedic Procedures and Medical Admissions. A Comparative Analysis.

    Science.gov (United States)

    Maslow, Jed; Hutzler, Lorraine; Slover, James; Bosco, Joseph

    2015-12-01

    The Federal Government, the largest payer of health care, considers readmission within 30 days of discharge an indicator of quality of care. Many studies have focused on causes for and strategies to reduce readmissions following medical admissions. However, few studies have focused on the differences between them. We believe that the causes for readmission following orthopaedic surgery are markedly different than those following medical admissions, and therefore, the strategies developed to reduce medical readmissions will not be as effective in reducing readmissions after elective orthopaedic surgery. All unplanned 30-day readmissions following an index hospitalization for an elective orthopaedic procedure (primary and revision total joint arthroplasty and spine procedure) or for one of the three publicly reported medical conditions (AMI, HF, and pneumonia, which accounted for 11% of readmissions) were identified at our institution from 2010 through 2012. A total of 268 patients and 390 medical patients were identified as having an unplanned 30-day readmission. We reviewed a prospectively collected data base to determine the reason for readmission in each encounter. A total of 233 (86.9%) orthopaedic patients were readmitted for surgical complications, most commonly for a wound infection (56.0%) or wound complication (11.6%). Following an index admission of HF or AMI, the primary reason for readmission was a disease of the circulatory system (55.9% and 57.4%, respectively). Following an index admission for pneumonia, the primary reason for readmission was a disease of the respiratory system (34.5%). The causes of readmissions following orthopaedic surgery and medical admissions are different. Patients undergoing orthopaedic procedures are readmitted for surgical complications, frequently unrelated to aftercare, and medicine patients are readmitted for reasons related to the index diagnosis. Interventions designed to reduce orthopaedic readmissions must focus on

  6. Emergency readmissions to paediatric surgery and urology: The impact of inappropriate coding.

    Science.gov (United States)

    Peeraully, R; Henderson, K; Davies, B

    2016-04-01

    Introduction In England, emergency readmissions within 30 days of hospital discharge after an elective admission are not reimbursed if they do not meet Payment by Results (PbR) exclusion criteria. However, coding errors could inappropriately penalise hospitals. We aimed to assess the accuracy of coding for emergency readmissions. Methods Emergency readmissions attributed to paediatric surgery and urology between September 2012 and August 2014 to our tertiary referral centre were retrospectively reviewed. Payment by Results (PbR) coding data were obtained from the hospital's Family Health Directorate. Clinical details were obtained from contemporaneous records. All readmissions were categorised as appropriately coded (postoperative or nonoperative) or inappropriately coded (planned surgical readmission, unrelated surgical admission, unrelated medical admission or coding error). Results Over the 24-month period, 241 patients were coded as 30-day readmissions, with 143 (59%) meeting the PbR exclusion criteria. Of the remaining 98 (41%) patients, 24 (25%) were inappropriately coded as emergency readmissions. These readmissions resulted in 352 extra bed days, of which 117 (33%) were attributable to inappropriately coded cases. Conclusions One-quarter of non-excluded emergency readmissions were inappropriately coded, accounting for one-third of additional bed days. As a stay on a paediatric ward costs up to £500 a day, the potential cost to our institution due to inappropriate readmission coding was over £50,000. Diagnoses and the reason for admission for each care episode should be accurately documented and coded, and readmission data should be reviewed at a senior clinician level.

  7. Acute electroconvulsive therapy followed by maintenance electroconvulsive therapy decreases hospital re-admission rates of older patients with severe mental illness.

    Science.gov (United States)

    Shelef, Assaf; Mazeh, Doron; Berger, Uri; Baruch, Yehuda; Barak, Yoram

    2015-06-01

    Electroconvulsive therapy (ECT) is a highly effective treatment for patients with severe mental illness (SMI). Maintenance ECT (M-ECT) is required for many elderly patients experiencing severe recurrent forms of mood disorders, whereas M-ECT for schizophrenia patients is a poorly studied treatment. We report on the outcomes in aged patients with SMI: schizophrenia and severe affective disorders treated by M-ECT of varying duration to prevent relapse after a successful course of acute ECT. The study measured the effectiveness of M-ECT in preventing hospital readmissions and reducing admission days. A retrospective chart review of 42 consecutive patients comparing the number and length of psychiatric admissions before and after the start of M-ECT was used. We analyzed diagnoses, previous ECT treatments, number of ECT treatments, and number and length of psychiatric admissions before and after M-ECT. Mean age in our sample was 71.5 (6.9) years. Twenty-two (52%) patients experienced severe affective disorders and 20 (48%) experienced schizophrenia. Patients were administered 92.8 (85.9) M-ECT treatments. Average duration of the M-ECT course was 34 (29.8) months. There were on average 1.88 admissions before M-ECT and only 0.38 admissions in the M-ECT period (P < 0.001). Duration of mean hospitalization stay decreased from 215.9 to 12.4 days during the M-ECT (P < 0.01). Our findings suggest that acute ECT followed by M-ECT is highly effective in selected elderly patients with SMIs.

  8. Hospital System Readmissions: A Care Cycle Approach

    Directory of Open Access Journals (Sweden)

    Cody Mullen

    2012-01-01

    Full Text Available Hospital readmission rates can be used as an indicator of the quality of health care services and can highlight high-priority research areas to ensure better health. A readmission is defined as when a patient is discharged from an acute care hospital and is admitted back to an acute care hospital in a set amount of days, with 30 days being the current national standard. On average, 19.6% of Medicare patients are readmitted to the hospital within 30 days of discharge and 56.1% within a year (Jencks, Williams, & Coleman, 2009. The hypothesis of this study was that the discharge location, or where a patient went immediately after discharge, would not have a significant effect on readmissions. A data set with all admission records was obtained from a major health provider. These data contain all hospital patients’ demographic and diagnosis information. General, women’s, and children’s hospitals were looked at from a system perspective to study the discharge location of patients as well as the effects of patient demographics on discharge location. By using a z-significance test in Microsoft Excel and SAS 9.2, it was discovered that patients discharged to home have a significantly lower likelihood of readmission. Generally, patients who are discharged to an extended care or intermediate care facility or patients with home health carerelated services had a significantly higher likelihood of being readmitted. The findings may indicate a possible need for an institution-to-institution intervention as well as institution-to-patient intervention. Future work will develop potential interventions in partnership with hospital staff.

  9. Impact of Inpatient Versus Outpatient Total Joint Arthroplasty on 30-Day Hospital Readmission Rates and Unplanned Episodes of Care.

    Science.gov (United States)

    Springer, Bryan D; Odum, Susan M; Vegari, David N; Mokris, Jeffrey G; Beaver, Walter B

    2017-01-01

    This article describes a study comparing 30-day readmission rates between patients undergoing outpatient versus inpatient total hip (THA) and knee (TKA) arthroplasty. A retrospective review of 137 patients undergoing outpatient total joint arthroplasty (TJA) and 106 patients undergoing inpatient (minimum 2-day hospital stay) TJA was conducted. Unplanned hospital readmissions and unplanned episodes of care were recorded. All patients completed a telephone survey. Seven inpatients and 16 outpatients required hospital readmission or an unplanned episode of care following hospital discharge. Readmission rates were higher for TKA than THA. The authors found no statistical differences in 30-day readmission or unplanned care episodes. Copyright © 2016 Elsevier Inc. All rights reserved.

  10. The revolving door phenomenon revisited: time to readmission in 17’145 [corrected] patients with 37'697 hospitalisations at a German psychiatric hospital.

    Directory of Open Access Journals (Sweden)

    Ulrich Frick

    Full Text Available OBJECTIVE: Despite the recurring nature of the disease process in many psychiatric patients, individual careers and time to readmission rarely have been analysed by statistical models that incorporate sequence and velocity of recurrent hospitalisations. This study aims at comparing four statistical models specifically designed for recurrent event history analysis and evaluating the potential impact of predictor variables from different sources (patient, treatment process, social environment. METHOD: The so called Andersen-Gil counting process model, two variants of the conditional models of Prentice, Williams, and Peterson (gap time model, conditional probability model, and the so called frailty model were applied to a dataset of 17’145 [corrected] patients observed during a 12 years period starting from 1996 and leading to 37’697 psychiatric hospitalisations Potential prognostic factors stem from a standardized patient documentation form. RESULTS: Estimated regression coefficients over different models were highly similar, but the frailty model best represented the sequentiality of individual treatment careers and differing velocities of disease progression. It also avoided otherwise likely misinterpretations of the impact of gender, partnership, historical time and length of stay. A widespread notion of psychiatric diseases as inevitably chronic and worsening could be rejected. Time in community was found to increase over historical time for all patients. Most important protective factors beyond diagnosis were employment, partnership, and sheltered living situation. Risky conditions were urban living and a concurrent substance use disorder. CONCLUSION: Prognostic factors for course of diseases should be determined only by statistical models capable of adequately incorporating the recurrent nature of psychiatric illnesses.

  11. Asthma exacerbations: risk factors for hospital readmissions.

    Science.gov (United States)

    Gonzalez-Barcala, F-J; Calvo-Alvarez, U; Garcia-Sanz, M-T; Garcia-Couceiro, N; Martin-Lancharro, P; Pose, A; Carreira, J-M; Moure-Gonzalez, J-D; Valdes-Cuadrado, L; Muñoz, X

    2018-02-01

    The aim of our study is to analyse hospital readmissions due to asthma, as well as the factors associated with their increase. We carried out a retrospective study including all admissions of patients over 18 years old due to exacerbation of asthma occurring in our hospital between the years 2000 and 2010. The data were gathered by two members of the research team, by reviewing the clinical records. The first hospital admission of each patient was included for this study. An early readmission (ER) was defined as that which occurred in the following 15 days after hospital discharge and late readmission (LR) to that occurring from 16 days after discharge. This study included 2166 hospital admissions and 1316 patients, with a mean age of 62.6 years. Of the 1316 patients analysed, 36 (2.7%) had one ER and 313 (23.8%) one LR. The only factor independently associated with a higher probability of an ER was poor lung function. A higher probability of LR was associated with a greater severity of the asthma (OR: 17.8, for severe asthma versus intermittent asthma), to have had any hospital admission in the previous year (OR: 3.5) and the use of a combination of ICS-LABA as maintenance treatment. About 25% of the patients in our area admitted to hospital due to asthma exacerbation had repeat episodes of hospitalisation.

  12. The dynamics of the emergency medical readmission - The underlying fundamentals.

    Science.gov (United States)

    Byrne, Declan; O'Riordan, Deirdre; Conway, Richard; Cournane, Sean; Silke, Bernard

    2017-11-01

    Hospital readmissions are a perennial problem. We reviewed readmissions to one institution (2002-2015) and investigated their dynamics. 96,474 emergency admissions (in 50,701 patients) to an Irish hospital over a 15-year period were studied, and patterns surrounding early (characteristics; the fundamentals are driven by disease progression over time. Copyright © 2017 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

  13. Rates and risk factors of unplanned 30-day readmission following general and thoracic pediatric surgical procedures.

    Science.gov (United States)

    Polites, Stephanie F; Potter, Donald D; Glasgow, Amy E; Klinkner, Denise B; Moir, Christopher R; Ishitani, Michael B; Habermann, Elizabeth B

    2017-08-01

    Postoperative unplanned readmissions are costly and decrease patient satisfaction; however, little is known about this complication in pediatric surgery. The purpose of this study was to determine rates and predictors of unplanned readmission in a multi-institutional cohort of pediatric surgical patients. Unplanned 30-day readmissions following general and thoracic surgical procedures in children readmission per 30 person-days were determined to account for varied postoperative length of stay (pLOS). Patients were randomly divided into 70% derivation and 30% validation cohorts which were used for creation and validation of a risk model for readmission. Readmission occurred in 1948 (3.6%) of 54,870 children for a rate of 4.3% per 30 person-days. Adjusted predictors of readmission included hepatobiliary procedures, increased wound class, operative duration, complications, and pLOS. The predictive model discriminated well in the derivation and validation cohorts (AUROC 0.710 and 0.701) with good calibration between observed and expected readmission events in both cohorts (p>.05). Unplanned readmission occurs less frequently in pediatric surgery than what is described in adults, calling into question its use as a quality indicator in this population. Factors that predict readmission including type of procedure, complications, and pLOS can be used to identify at-risk children and develop prevention strategies. III. Copyright © 2017 Elsevier Inc. All rights reserved.

  14. Does hospital readmission following colorectal cancer resection and enhanced recovery after surgery affect long term survival?

    Science.gov (United States)

    Curtis, N J; Noble, E; Salib, E; Hipkiss, R; Meachim, E; Dalton, R; Allison, A; Ockrim, J; Francis, N K

    2017-08-01

    Hospital readmission is undesirable for patients and care providers as this can affect short-term recovery and carries financial consequences. It is unknown if readmission has long-term implications. We aimed to investigate the impact of 30-day readmission on long-term overall survival (OS) following colorectal cancer resection within enhanced recovery after surgery (ERAS) care and explore the reasons for and the severity and details of readmission episodes. A dedicated, prospectively populated database was reviewed. All patients were managed within an established ERAS programme. Five-year OS was calculated using the Kaplan-Meier method. The number, reason for and severity of 30-day readmissions were classified according to the Clavien-Dindo (CD) system, along with total (initial and readmission) length of stay (LoS). Multivariate analysis was used to identify factors predicting readmission. A total of 1023 consecutive patients underwent colorectal cancer resection between 2002 and 2015. Of these, 166 (16%) were readmitted. Readmission alone did not have a significant impact on 5-year OS (59% vs 70%, P = 0.092), but OS was worse in patients with longer total LoS (20 vs 14 days, P = 0.04). Of the readmissions, 121 (73%) were minor (CD I-II) and 27 (16%) required an intervention of which 16 (10%) were returned to theatre. Gut dysfunction 32 (19%) and wound complications 23 (14%) were the most frequent reasons for readmission. Prolonged initial LoS, rectal cancer and younger age predicted for hospital readmission. Readmission does not have a significant impact on 5-year OS. A broad range of conditions led to readmission, with the majority representing minor complications. Colorectal Disease © 2017 The Association of Coloproctology of Great Britain and Ireland.

  15. Unplanned readmission within 90 days after pediatric neurosurgery.

    Science.gov (United States)

    Chotai, Silky; Guidry, Bradley S; Chan, Emily W; Sborov, Katherine D; Gannon, Stephen; Shannon, Chevis; Bonfield, Christopher M; Wellons, John C; Naftel, Robert P

    2017-12-01

    OBJECTIVE Readmission and return to operating room after surgery are increasingly being used as a proxy for quality of care. Nearly 60% of these readmissions are unplanned, which translates into billions of dollars in health care costs. The authors set out to analyze the incidence of readmission at their center, to define causes of unplanned readmission, and to determine the preoperative and surgical variables associated with readmissions following pediatric neurosurgery. METHODS A total of 536 children who underwent operations for neurosurgical diagnoses between 2012 and 2015 and who were later readmitted were included in the final analysis. Unplanned readmissions were defined to have occurred as a result of complications within 90 days after index surgery. Patient records were retrospectively reviewed to determine the primary diagnosis, surgery indication, and cause of readmission and return to operating room. The cost for index hospitalization, readmission episode, and total cost were derived based on the charges obtained from administrative data. Bivariate and multivariable analyses were conducted. RESULTS Of 536 patients readmitted in total, 17.9% (n = 96) were readmitted within 90 days. Of the overall readmissions, 11.9% (n = 64) were readmitted within 30 days, and 5.97% (n = 32) were readmitted between 31 and 90 days. The median duration between discharge and readmission was 20 days (first quartile [Q1]: 9 days, third quartile [Q3]: 36 days). The most common reason for readmission was shunt related (8.2%, n = 44), followed by wound infection (4.7%, n = 25). In the risk-adjusted multivariable logistic regression model for total 90-day readmission, patients with the following characteristics: younger age (p = 0.001, OR 0.886, 95% CI 0.824-0.952); "other" (nonwhite, nonblack) race (p = 0.024, OR 5.49, 95% CI 1.246-24.2); and those born preterm (p = 0.032, OR 2.1, 95% CI 1.1-4.12) had higher odds of being readmitted within 90 days after discharge. The total

  16. Factores psicosociales relacionados con la rehospitalización de pacientes con psicosis orgánica Psychosocial factors associated with hospital readmissions of patients with organic psychoses

    Directory of Open Access Journals (Sweden)

    María Teresa Cortés-Padilla

    2001-12-01

    Full Text Available Objetivo. Conocer los factores psicosociales relacionados con la frecuente rehospitalización de pacientes con psicosis orgánica. Material y métodos. Estudio de tipo observacional descriptivo, de corte transversal. La muestra estuvo formada por 33 pacientes del Hospital Psiquiátrico Guillermo Dávila, con Unidad de Medicina Familiar Número 10 del Instituto Mexicano del Seguro Social de la Ciudad de México, con psicosis orgánica y quienes durante los años de 1993-1994 presentaron más de dos rehospitalizaciones. Instrumentos: Entrevista grabada, o muestra de conversación de cinco minutos, para la emoción expresada (EE, cuestionarios mixtos para la Concepción de Enfermedad y la Relación médico-paciente. La validez y confiabilidad de los datos se establecieron con las pruebas de Kappa y Alpha de Cronbach y se efectuó análisis estadístico descriptivo e inferencial. Resultados. El 60.9% de los familiares presentan alto nivel de EE, es decir, expresan crítica, hostilidad o sobreinvolucramiento emocional; el 64.3% de los sujetos de la muestra conviven más de 35 horas a la semana con familiares que presentan Alta EE. Conclusiones. Altos niveles de EE estuvieron asociados con los frecuentes reingresos a hospitalización. Existe mayor conocimiento de las características de la enfermedad por parte del familiar que del paciente. La relación médico-paciente es satisfactoria pero no forma conciencia de enfermedad ni propicia apego al tratamiento terapeútico. El texto completo en inglés de este artículo está disponible en: http://www.insp.mx/salud/index.html Objective. To assess the relationship between psychosocial factors, frequent relapses and hospital readmissions in patients with organic psychoses. Material and Methods. A cross-sectional descriptive study was conducted among 33 patients diagnosed with organic psychosis, seen at Hospital Psiquiatrico Guillermo Dávila, of Instituto Mexicano del Seguro Social in Mexico City. Patients

  17. Fragmentation of Care after Surgical Discharge: Non-Index Readmission after Major Cancer Surgery

    Science.gov (United States)

    Zheng, Chaoyi; Habermann, Elizabeth B; Shara, Nawar M; Langan, Russell C; Hong, Young; Johnson, Lynt B; Al-Refaie, Waddah B

    2017-01-01

    BACKGROUND Despite national emphasis on care coordination, little is known about how fragmentation affects cancer surgery outcomes. Our study examines a specific form of fragmentation in post-discharge care—readmission to a hospital different from the location of the operation—and evaluates its causes and consequences among patients readmitted after major cancer surgery. STUDY DESIGN We used the State Inpatient Database of California (2004 to 2011) to identify patients who had major cancer surgery and their subsequent readmissions. Logistic models were used to examine correlates of non-index readmissions and to assess associations between location of readmission and outcomes, measured by in-hospital mortality and repeated readmission. RESULTS Of 9,233 readmissions within 30 days of discharge after major cancer surgery, 20.0% occurred in non-index hospitals. Non-index readmissions were associated with emergency readmission (odds ratio [OR] = 2.63; 95% CI, 2.26–3.06), rural residence (OR = 1.81; 95% CI, 1.61–2.04), and extensive procedures (eg hepatectomy vs proctectomy; OR = 2.77; CI, 2.08–3.70). Mortality was higher during non-index readmissions than index readmissions independent of patient, procedure, and hospital factors (OR = 1.31; 95% CI, 1.03–1.66), but was mitigated by adjusting for conditions present at readmission (OR = 1.24; 95% CI, 0.98–1.58). Non-index readmission predicted higher odds of repeated readmission within 60 days of discharge from the first readmission (OR = 1.16; 95% CI, 1.02–1.32), independent of all covariates. CONCLUSIONS Non-index readmissions constitute a substantial proportion of all readmissions after major cancer surgery. They are associated with more repeated readmissions and can be caused by severe surgical complications and increased travel burden. Overcoming disadvantages of non-index readmissions represents an opportunity to improve outcomes for patients having major cancer surgery. PMID:27016905

  18. Risk factors for nonelective 30-day readmission in pediatric assault victims.

    Science.gov (United States)

    Buicko, Jessica L; Parreco, Joshua; Willobee, Brent A; Wagenaar, Amy E; Sola, Juan E

    2017-10-01

    Hospital readmission in trauma patients is associated with significant morbidity and increased healthcare costs. There is limited published data on early hospital readmission in pediatric trauma patients. As presently in healthcare outcomes and readmissions rates are increasingly used as hospital quality indicators, it is paramount to recognize risk factors for readmission. We sought to identify national readmission rates in pediatric assault victims and identify the most common readmission diagnoses among these patients. The Nationwide Readmission Database (NRD) for 2013 was queried for all patients under 18years of age with a non-elective admission with an E-code that is designed as assault using National Trauma Data Bank Standards. Multivariate logistic regression was implemented using 18 variables to determine the odds ratios (OR) for non-elective readmission within 30-days. There were 4050 pediatric victims of assault and 92 (2.27%) died during the initial admission. Of the surviving patients 128 (3.23%) were readmitted within 30days. Of these readmitted patients 24 (18.75%) were readmitted to a different hospital and 31 (24.22%) were readmitted for repeated assault. The variables associated with the highest risk for non-elective readmission within 30-days were: length of stay (LOS) >7days (OR 3.028, preadmission diagnosis groups were bipolar disorders (8.2%), post-operative, posttraumatic, or other device infections (6.2%), or major depressive disorders and other/unspecified psychoses (5.2%). Readmission after pediatric assault represents a significant resource burden and almost a quarter of those patients are readmitted after a repeated assault. Understanding risk factors and reasons for readmission in pediatric trauma assault victims can improve discharge planning, family education, and outpatient support, thereby decreasing overall costs and resource burden. Psychoses, weight loss, and prolonged hospitalization are independent prognostic indicators of

  19. The effectiveness of group visits for patients with heart failure on knowledge, quality of life, self-care, and readmissions: a systematic review protocol.

    Science.gov (United States)

    Slyer, Jason T; Ferrara, Lucille R

    The objective of this review is to identify the effectiveness of group visits for patients with heart failure (HF) on knowledge, quality of life, self-care behaviors, and hospital readmissions. BACKGROUND: Heart failure (HF) continues to be a major health burden throughout the world. There are currently over 5.7 million Americans, 15 million Europeans, and 277,800 Australians living with HF. These numbers are expected to double by 2040. Patients and caregivers perform the majority of HF care in the home. Patients with HF need to learn to be successful in self-managing their condition to lessen the burden of symptoms such as fatigue, dyspnea, and edema.Patient education is the primary process used to increase knowledge of self-care practices for patients with HF. Patients with HF need to follow a complex medical regimen while adhering to a low sodium diet and prescribed fluid restrictions. In addition patients monitor their physical condition daily for exacerbation of symptoms or signs of fluid overload. Education, behavior modification, and skill development are necessary for a patient with HF to be successful in self-managing their condition.Most HF education occurs during one-on-one visits between the patient and the health care provider in an examination room during a regular clinic visit. However, there is usually limited time to address all of the needed education topics in an in-depth, meaningful manner with information the patient can take home and utilize in their daily routines.Group visits provide an alternative venue to provide care for this complex patient population. A group visit is an interactive process between a health care provider and a small group of patients and their caregivers who usually share a common medical concern. The participants of group visits can benefit from the knowledge and experiences of the other participants while providing support and encouragement to each other as they learn to cope with living with a chronic condition

  20. High readmission rate after heart valve surgery

    DEFF Research Database (Denmark)

    Sibilitz, K L; Berg, S K; Thygesen, L C

    2015-01-01

    investigated. RESULTS: After valve surgery, the self-reported health was lower (Short Form-36 (SF-36) Physical Component Scale (PCS): 44.5 vs. 50.6 and Mental Component Scale (MCS): 51.9 vs. 55.0, pClinical signs......BACKGROUND: After heart valve surgery, knowledge on long-term self-reported health status and readmission is lacking. Thus, the optimal strategy for out-patient management after surgery remains unclear. METHODS: Using a nationwide survey with linkage to Danish registers with one year follow-up, we...... included all adults 6-12months after heart valve surgery irrespective of valve procedure, during Jan-June 2011 (n=867). Participants completed a questionnaire regarding health-status (n=742), and answers were compared with age- and sex-matched healthy controls. Readmission rates and mortality were...

  1. Can use of an administrative database improve accuracy of hospital-reported readmission rates?

    Science.gov (United States)

    Edgerton, James R; Herbert, Morley A; Hamman, Baron L; Ring, W Steves

    2018-05-01

    Readmission rates after cardiac surgery are being used as a quality indicator; they are also being collected by Medicare and are tied to reimbursement. Accurate knowledge of readmission rates may be difficult to achieve because patients may be readmitted to different hospitals. In our area, 81 hospitals share administrative claims data; 28 of these hospitals (from 5 different hospital systems) do cardiac surgery and share Society of Thoracic Surgeons (STS) clinical data. We used these 2 sources to compare the readmissions data for accuracy. A total of 45,539 STS records from January 2008 to December 2016 were matched with the hospital billing data records. Using the index visit as the start date, the billing records were queried for any subsequent in-patient visits for that patient. The billing records included date of readmission and hospital of readmission data and were compared with the data captured in the STS record. We found 1153 (2.5%) patients who had STS records that were marked "No" or "missing," but there were billing records that showed a readmission. The reported STS readmission rate of 4796 (10.5%) underreported the readmission rate by 2.5 actual percentage points. The true rate should have been 13.0%. Actual readmission rate was 23.8% higher than reported by the clinical database. Approximately 36% of readmissions were to a hospital that was a part of a different hospital system. It is important to know accurate readmission rates for quality improvement processes and institutional financial planning. Matching patient records to an administrative database showed that the clinical database may fail to capture many readmissions. Combining data with an administrative database can enhance accuracy of reporting. Copyright © 2017 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

  2. Acute IPPS - Readmissions Reduction Program

    Data.gov (United States)

    U.S. Department of Health & Human Services — Section 3025 of the Affordable Care Act added section 1886(q) to the Social Security Act establishing the Hospital Readmissions Reduction Program, which requires CMS...

  3. What is the impact of a clinically related readmission measure on the assessment of hospital performance?

    Science.gov (United States)

    Khouri, Roger K; Hou, Hechuan; Dhir, Apoorv; Andino, Juan J; Dupree, James M; Miller, David C; Ellimoottil, Chad

    2017-11-28

    The Hospital Readmission Reduction Program (HRRP) penalizes hospitals for high all-cause unplanned readmission rates. Many have expressed concern that hospitals serving patient populations with more comorbidities, lower incomes, and worse self-reported health status may be disproportionately penalized by readmissions that are not clinically related to the index admission. The impact of including clinically unrelated readmissions on hospital performance is largely unknown. We sought to determine if a clinically related readmission measure would significantly alter the assessment of hospital performance. We analyzed Medicare claims for beneficiaries in Michigan admitted for pneumonia and joint replacement from 2011 to 2013. We compared each hospital's 30-day readmission rate using specifications from the HRRP's all-cause unplanned readmission measure to values calculated using a clinically related readmission measure. We found that the mean 30-day readmission rates were lower when calculated using the clinically related readmission measure (joint replacement: all-cause 5.8%, clinically related 4.9%, p impact hospital performance in the HRRP.

  4. 30-day hospital readmission after robotic partial nephrectomy--are we prepared for Medicare readmission reduction program?

    Science.gov (United States)

    Brandao, Luis Felipe; Zargar, Homayoun; Laydner, Humberto; Akca, Oktay; Autorino, Riccardo; Ko, Oliver; Samarasekera, Dinesh; Li, Jianbo; Rabets, John; Krishnan, Jayram; Haber, Georges-Pascal; Kaouk, Jihad; Stein, Robert J

    2014-09-01

    After CMS introduced the concept of the Hospital Readmissions Reduction Program, hospitals and health care centers became financially penalized for exceeding specific readmission rates. We retrospectively reviewed our institutional review board approved database of patients undergoing robotic partial nephrectomy at our institution and included in our analysis patients who were readmitted to any hospital as an inpatient stay within 30 days from discharge home after robotic partial nephrectomy. From March 2006 to March 2013 a total of 627 patients underwent robotic partial nephrectomy at our center and 28 (4.46%) were readmitted within 30 days of surgery. Postoperative bleeding was responsible for 8 (28.5%) readmissions. Pulmonary embolism was reported in 3 cases and retroperitoneal abscess was diagnosed in 2. Urinary leak requiring surgical intervention developed in 2 patients, pneumonia was diagnosed in 2 and 2 patients were readmitted for chest pain. Overall 9 (32.1%) patients presented with major complications requiring intervention. On multivariable analysis Charlson comorbidity index score was the only factor significantly associated with a higher 30-day readmission rate (p = 0.03). If the Charlson score was 5 or greater the chance of hospital readmission would be 2.7 times higher. Increased comorbidity, specifically a Charlson score of 5 or greater, was the only significant predictor of a higher incidence of 30-day readmission. This information can be useful in counseling patients regarding robotic partial nephrectomy and in determining baseline rates if CMS expands the number of conditions they evaluate for excess 30-day readmissions. Copyright © 2014 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

  5. Unplanned 30-Day Readmissions in a General Internal Medicine Hospitalist Service at a Comprehensive Cancer Center.

    Science.gov (United States)

    Manzano, Joanna-Grace M; Gadiraju, Sahitya; Hiremath, Adarsh; Lin, Heather Yan; Farroni, Jeff; Halm, Josiah

    2015-09-01

    Hospital readmissions are considered by the Centers for Medicare and Medicaid as a metric for quality of health care delivery. Robust data on the readmission profile of patients with cancer are currently insufficient to determine whether this measure is applicable to cancer hospitals as well. To address this knowledge gap, we estimated the unplanned readmission rate and identified factors influencing unplanned readmissions in a hospitalist service at a comprehensive cancer center. We retrospectively analyzed unplanned 30-day readmission of patients discharged from the General Internal Medicine Hospitalist Service at a comprehensive cancer center between April 1, 2012, and September 30, 2012. Multiple independent variables were studied using univariable and multivariable logistic regression models, with generalized estimating equations to identify risk factors associated with readmissions. We observed a readmission rate of 22.6% in our cohort. The median time to unplanned readmission was 10 days. Unplanned readmission was more likely in patients with metastatic cancer and those with three or more comorbidities. Patients discharged to hospice were less likely to be readmitted (all P values quality measures in cancer hospitals. Copyright © 2015 by American Society of Clinical Oncology.

  6. Improving coronary artery bypass grafting readmission outcomes from 2000 to 2012 in the Medicare population.

    Science.gov (United States)

    McNeely, Christian; Kwedar, Kathleen; Markwell, Stephen; Vassileva, Christina M

    2017-10-01

    The study objective was to examine trends in 30-day readmission after coronary artery bypass grafting in the Medicare population over 13 years. The study included isolated coronary artery bypass grafting procedures in the Medicare population from January 2000 to November 2012. Comorbidities and causes of readmission were determined using Internal Classification of Diseases, 9th Revision, Clinical Modification diagnostic codes. The cohort included 1,116,991 patients. Readmission rates decreased from 19.5% in 2000 to 16.6% in 2012 (P = .0001). There was significant improvement across all categories of admission status, age, race, gender, and hospital annual coronary artery bypass grafting volume that were analyzed. Adjusted odds of readmission in 2000 compared with 2012 was 1.28 (95% confidence interval, 1.24-1.32). Median length of stay for the readmission episode was 5 days, which improved to 4 days by 2012. Hospital mortality during the readmission episode was 2.8% overall and declined to 2.4% in 2012 (P = .0001). The most common primary readmission diagnoses were heart failure (12.6%), postoperative wound infection/nonhealing wound (8.9%), arrhythmias (6.4%), and pleural effusions (3.7%). Readmission for wound infections/nonhealing wounds decreased significantly over time, from 9.8% to 6.5% (P = .0001). In a large cohort of Medicare patients undergoing coronary artery bypass grafting over 13 years, there was a significant decrease in 30-day readmission rates, a reduction in readmission for wound infections, and reduced mortality during the readmission episode, despite an increase in patient comorbidities. The improvement in readmission rates was seen regardless of patient variables examined. Copyright © 2017 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

  7. Influence of hospital-level practices on readmission after ischemic stroke

    Science.gov (United States)

    Skolarus, Lesli E.; Adelman, Eric E.; Reeves, Mathew J.; Brown, Devin L.

    2014-01-01

    Objective: To inform stroke quality improvement initiatives by determining the relationship between hospital-level stroke practices and readmission after accounting for patient-level factors. Methods: Retrospective cohort study of adult patients hospitalized for ischemic stroke (principal ICD-9-CM codes 433.x1, 434.x1, and 436) in 5 states from 2003 to 2009 from State Inpatient Databases. The primary outcome was any unplanned readmission within 30 days. Multilevel logistic regression was used to estimate the association between hospital-level practice patterns of care (diagnostic testing, procedures, intensive care unit, tissue plasminogen activator, and therapeutic modalities) and readmission after adjustment for patient factors and whether individual patients received a given practice. Results: Thirty-day unplanned readmission occurred in 15.2% of stroke admissions; the median hospital readmission rate was 13.6% (interquartile range 9.8%–18.2%). Of the 25 hospital practice patterns of care analyzed, 3 practices were associated with readmission: hospitals with higher use of occupational therapy and higher proportion of transfers from other hospitals had lower adjusted readmission rates, whereas hospitals with higher use of hospice had higher predicted readmission rates. Readmission rates in lowest vs highest utilizing quintile were as follows: occupational therapy 16.2% (95% confidence interval [CI] 14.5%–18.0%) vs 12.3% (95% CI 11.3%–13.2%); transfers 13.8% (95% CI 13.2%–14.5%) vs 12.5% (95% CI 11.6%–13.5%); and hospice 13.1% (95% CI 12.3%–14.0%) vs 14.8% (95% CI 13.5%–16.1%). Conclusions: Hospital practices have a role in stroke readmission that is complex and poorly understood. Further work is needed to identify specific strategies to reduce readmission rates and to ensure that public reporting of readmission rates will not result in adverse unintended consequences. PMID:24838793

  8. The costs of acute readmissions to a different hospital –

    DEFF Research Database (Denmark)

    Dahl, Christian M.; Kongstad, Line Planck

    2017-01-01

    Treatment costs are found to vary substantially and systematically within DRGs. Several factors have been shown to contribute to the variation in costs within DRGs. We argue that readmissions might also explain part of the observed variation in costs. A substantial number of all readmissions occu....... If teaching hospitals are not compensated for the additional costs of treating different-hospital readmission patients, they might be unfairly funded under a DRG-based payment scheme.......Treatment costs are found to vary substantially and systematically within DRGs. Several factors have been shown to contribute to the variation in costs within DRGs. We argue that readmissions might also explain part of the observed variation in costs. A substantial number of all readmissions occur...... to a different hospital. The change in hospital indicates that a progression of the illness has occurred since the initial hospitalisation. As a result, different-hospital readmissions might be more costly compared to same-hospital admissions. The aim of this paper is twofold. Firstly, to analyse differences...

  9. Reducing the rate and duration of Re-ADMISsions among patients with unipolar disorder and bipolar disorder using smartphone-based monitoring and treatment - the RADMIS trials: study protocol for two randomized controlled trials.

    Science.gov (United States)

    Faurholt-Jepsen, Maria; Frost, Mads; Martiny, Klaus; Tuxen, Nanna; Rosenberg, Nicole; Busk, Jonas; Winther, Ole; Bardram, Jakob Eyvind; Kessing, Lars Vedel

    2017-06-15

    Unipolar and bipolar disorder combined account for nearly half of all morbidity and mortality due to mental and substance use disorders, and burden society with the highest health care costs of all psychiatric and neurological disorders. Among these, costs due to psychiatric hospitalization are a major burden. Smartphones comprise an innovative and unique platform for the monitoring and treatment of depression and mania. No prior trial has investigated whether the use of a smartphone-based system can prevent re-admission among patients discharged from hospital. The present RADMIS trials aim to investigate whether using a smartphone-based monitoring and treatment system, including an integrated clinical feedback loop, reduces the rate and duration of re-admissions more than standard treatment in unipolar disorder and bipolar disorder. The RADMIS trials use a randomized controlled, single-blind, parallel-group design. Patients with unipolar disorder and patients with bipolar disorder are invited to participate in each trial when discharged from psychiatric hospitals in The Capital Region of Denmark following an affective episode and randomized to either (1) a smartphone-based monitoring system including (a) an integrated feedback loop between patients and clinicians and (b) context-aware cognitive behavioral therapy (CBT) modules (intervention group) or (2) standard treatment (control group) for a 6-month trial period. The trial started in May 2017. The outcomes are (1) number and duration of re-admissions (primary), (2) severity of depressive and manic (only for patients with bipolar disorder) symptoms; psychosocial functioning; number of affective episodes (secondary), and (3) perceived stress, quality of life, self-rated depressive symptoms, self-rated manic symptoms (only for patients with bipolar disorder), recovery, empowerment, adherence to medication, wellbeing, ruminations, worrying, and satisfaction (tertiary). A total of 400 patients (200 patients with

  10. Readmission Following Surgical Resection for Intractable Epilepsy: Nationwide Rates, Causes, Predictors, and Outcomes.

    Science.gov (United States)

    Rumalla, Kavelin; Smith, Kyle A; Arnold, Paul M; Schwartz, Theodore H

    2018-06-04

    Hospital readmissions can be detrimental to patients and may interfere with the potential benefits of the therapeutic procedure. Government agencies have begun to focus on reducing readmissions; however, the etiology of readmissions is lacking. To report the national rates, risk factors, and outcomes associated with 30- and 90-d readmissions following surgery for intractable epilepsy. We queried the Nationwide Readmissions Database from January to September 2013 using International Classification of Diseases, Ninth Edition, Clinical Modification codes to identify all patients with intractable epilepsy, who underwent hemispherectomy (01.52), brain lobectomy (01.53), amydalohippocampectomy, or partial lobectomy (01.59). Predictor variables included epilepsy type, presurgical diagnostic testing, surgery type, medical complications, surgical complications, and discharge disposition. In 1587 patients, the 30- and 90-d readmission rates were 11.5% and 16.8%, respectively. The most common reasons for readmission were persistent epilepsy, video electroencephalography monitoring, postoperative infection, and postoperative central nervous system complication. In multivariable analysis, risk factors associated with both 30- and 90-d readmission were Medicare payer status, lowest quartile of median income, depression, hemispherectomy, and postoperative complications (P < .05). The only unique predictor of 30-d readmission was small bedsize hospital (P = .001). Readmissions within 30 d were associated with longer length of stay (6.8 vs 5.8 d), greater costs ($18 660 vs $15 515), and increased adverse discharges (26.4% vs 21.8%). Following epilepsy surgery, most readmissions that occurred within 30 d can be attributed to management of persistent epilepsy and predicted by Medicare payer status, depression, and complications. These data can assist the clinician in preventing readmissions and assist policy makers determine which admissions are potentially avoidable.

  11. High readmission rates and mental distress after infective endocarditis

    DEFF Research Database (Denmark)

    Rasmussen, Trine Bernholdt; Zwisler, Ann-Dorthe; Thygesen, Lau Caspar

    2017-01-01

    BACKGROUND: Infective endocarditis (IE) is a severe disease requiring lengthy hospitalisation. Little is known about patients' recovery after IE. The aims of this study in IE patients were; (i) to describe mortality, readmission, self-reported health and rehabilitation up to 1year post-discharge,......BACKGROUND: Infective endocarditis (IE) is a severe disease requiring lengthy hospitalisation. Little is known about patients' recovery after IE. The aims of this study in IE patients were; (i) to describe mortality, readmission, self-reported health and rehabilitation up to 1year post...

  12. EXTERNAL VALIDATION OF THE DIABETES EARLY READMISSION RISK INDICATOR (DERRI™).

    Science.gov (United States)

    Rubin, Daniel J; Recco, Dominic; Turchin, Alexander; Zhao, Huaqing; Golden, Sherita Hill

    2018-04-06

    The Diabetes Early Readmission Risk Indicator (DERRI ™ ) was previously developed and internally validated as a tool to predict the risk of all-cause readmission within 30 days of discharge (30-d readmission) of hospitalized patients with diabetes. In this study, the predictive performance of the DERRI ™ with and without additional predictors was assessed in an external sample. We conducted a retrospective cohort study of adult patients with diabetes discharged from 2 academic medical centers between 1/1/2000 and 12/31/2014. We applied the previously developed DERRI ™ , which includes admission laboratory results, sociodemographics, a diagnosis of certain comorbidities, and recent discharge information, and evaluated the effect of adding metabolic indicators on predictive performance using multivariable logistic regression. Total cholesterol and A1c were selected based on clinical relevance and univariate association with 30-d readmission. Among 105,974 discharges, 19,032 (18.0%) were followed by 30-d readmission for any cause. The DERRI ™ had a C-statistic of 0.634 for 30-d readmission. Total cholesterol (TC) was the lipid parameter most strongly associated with 30-d readmission. The DERRI ™ predictors, A1c, and TC were significantly associated with 30-d readmission; however, their addition to the DERRI ™ did not significantly change model performance (C-statistic 0.643 [95% CI, 0.638-0.647], p=0.92). Performance of the DERRI ™ in this external cohort was modest but comparable to other readmission prediction models. Addition of A1c and TC to the DERRI ™ did not significantly improve performance. Although the DERRI ™ may be useful to direct resources toward diabetes patients at higher risk, better prediction is needed. DERRI = Diabetes Early Readmission Risk Indicator; TC = Total cholesterol; A1c = hemoglobin A1c; HDL-C = high-density lipoprotein cholesterol; LDL-C = low-density lipoprotein cholesterol; DKA = diabetic ketoacidosis; HHS

  13. Physician consensus on preventability and predictability of readmissions based on standard case scenarios

    DEFF Research Database (Denmark)

    van Galen, L. S.; Cooksley, T; Merten, H

    2016-01-01

    Background: Policy makers struggle with unplanned readmissions as a quality indicator since integrating preventability in such indicators is difficult. Most studies on the preventability of readmissions questioned physicians whether they consider a given readmission to be preventable, from which...... conclusions on factors predicting preventable readmissions were derived. There is no literature on the interobserver agreement of physician judgement. Aim: To assess the degree of agreement among physicians regarding predictability and preventability of medical readmissions. Design: An online survey based...... on eight real-life case scenarios was distributed to European physicians. Methods: Physicians were requested to rate from the first four (index admission) scenarios whether they expected these patients to be readmitted within 30 days (the predictability). The remaining four cases, describing a readmission...

  14. O perfil das readmissões de idosos num hospital geral de Marília/SP El perfil de los reingresos de ancianos en un hospital general del municipio de Marília, SP The profile of elderly patients' readmissions in a general hospital located in Marília/SP

    Directory of Open Access Journals (Sweden)

    Márcia Regina Martins Alvarenga

    2003-06-01

    ,49 días. Predominaron las enfermedades crónicas del sistema respiratorio y 55,8% de los reingresos presentaron diagnóstico secundario. El análisis de contenido de las notas de enfermería identificó rutina en la práctica de enfermería revelando solamente algunos aspectos de la situación de los ancianos a la recepción y la salida.This is a descriptive study about the readmissions of elderly patients in a general hospital located in the city of Marília, São Paulo, Brazil, in 1996 and 1997. OBJECTIVES: characterizing the readmission profile with respect to the following variables: gender, age, marital status, origin, profession, main and secondary diagnoses, time of hospitalization, type of discharge, financing source, type of procedure and interval between hospitalizations; analyzing the nursing notes in the patients' records about health conditions at the time of admission and discharge. A database about admissions was compiled by using the Epi-Info 6 software. The research population consisted of two hundred sixty-two elderly patients (53.8% of whom were female, who presented 502 readmissions; 32.8% of these occurred once and 55.9% took place in less than 60 days. The patients' mean age was 73.2 years and the average time of hospitalization was 5.49 days. Chronic respiratory diseases predominated and 55.8% of the readmitted patients presented a secondary diagnosis. The content analysis of the notes identified the nursing routine and revealed only some of the aspects concerning the elderly persons' conditions at the time of admission and discharge.

  15. Hospital readmission rates and risk factors for readmission following cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) for peritoneal surface malignancies.

    Science.gov (United States)

    Dreznik, Yael; Hoffman, Aviad; Hamburger, Tamar; Ben-Yaacov, Almog; Dux, Yossi; Jacoby, Harel; Berger, Yaniv; Nissan, Aviram; Gutman, Mordechai

    2018-02-08

    Cytoreductive surgery and Hyperthermic intra-peritoneal chemotherapy (CRS/HIPEC) for peritoneal surface malignancies is associated with high morbidity. The increased numbers of patients undergoing CRS/HIPEC in recent years mandates risk analysis and quality assurance. However, only scarce data exist regarding causative parameters for readmission. The aim of this study was to assess readmission rates and risk factors associated with readmission. A retrospective-cohort study including patients from two high-volume centers who underwent CRS/HIPEC surgery between the years 2007-2016 was performed. Patients' demographics, peri-operative data and readmission rates were recorded. 223 patients were included in the study. The 7 and 30-day readmission rates were 3.5% (n = 8) and 11% (n = 25), respectively. Late readmission rates (up to 90 days) were 11% (n = 25). The most common causes of readmission were surgical related infections (35%), small bowel obstruction (17.5%) and dehydration (14%). Post-operative complications were associated with higher readmission rates (p = 0.0001). PCI score was not associated with higher rates of readmission. Readmissions following CRS/HIPEC occur mainly due to infectious complications and dehydrations. Patients following CRS/HIPEC should be discharged after careful investigation to a community based continuing care with access for IV fluid replacement or antibiotics administration when required. Copyright © 2018 Royal College of Surgeons of Edinburgh (Scottish charity number SC005317) and Royal College of Surgeons in Ireland. Published by Elsevier Ltd. All rights reserved.

  16. A nationwide study on readmission, morbidity, and mortality after umbilical and epigastric hernia repair

    DEFF Research Database (Denmark)

    Bisgaard, T; Kehlet, H; Bay-Nielsen, M

    2011-01-01

    stay, risk of readmission, complications, and mortality  1 day. Readmissions occurred in 5.3% of cases (open 4.9%; laparoscopic 10.5%). In the majority of patients readmissions were due to wound-related problems (haematoma, bleeding and/or infection) (46%), seroma (19%), or pain (7%). At 30 days......, complications and mortality occurred in 4.1% (open 3.7%; laparoscopic 8.2%) and 0.1% (open 0.1%; laparoscopic 0.4%), respectively. CONCLUSION: This first prospective nationwide study on elective umbilical and epigastric hernia repair found low morbidity and mortality but a high readmission rate mostly because...

  17. Migraine and risk of perioperative ischemic stroke and hospital readmission

    DEFF Research Database (Denmark)

    Timm, Fanny P; Houle, Timothy T; Grabitz, Stephanie D

    2017-01-01

    OBJECTIVE: To evaluate whether patients with migraine are at increased risk of perioperative ischemic stroke and whether this may lead to an increased hospital readmission rate. DESIGN: Prospective hospital registry study. SETTING: Massachusetts General Hospital and two satellite campuses between...... was hospital readmission within 30 days of surgery. Exploratory outcomes included post-discharge stroke and strata of neuroanatomical stroke location. RESULTS: 10 179 (8.2%) patients had any migraine diagnosis, of whom 1278 (12.6%) had migraine with aura and 8901 (87.4%) had migraine without aura. 771 (0.......9 (2.9 to 5.0) for migraine without aura, and 6.3 (3.2 to 9.5) for migraine with aura. : Patients with migraine had a higher rate of readmission to hospital within 30 days of discharge (adjusted odds ratio 1.31, 1.22 to 1.41). CONCLUSIONS: Surgical patients with a history of migraine are at increased...

  18. Timing of discharge: a key to understanding the reason for readmission after colorectal surgery.

    Science.gov (United States)

    Kelly, Kristin N; Iannuzzi, James C; Aquina, Christopher T; Probst, Christian P; Noyes, Katia; Monson, John R T; Fleming, Fergal J

    2015-03-01

    There is a growing interest in surgery regarding the balance between appropriate hospital length of stay (LOS) and prevention of unnecessary readmissions. This study examines the relationship between postoperative LOS and unplanned readmission after colorectal resection, exploring whether patients discharged earlier have different readmission risk profiles. Patients undergoing colorectal resection were selected by Common Procedural Terminology (CPT) code from the 2012 ACS National Surgical Quality Improvement Program (NSQIP) database. Patients were stratified by LOS quartile. Kaplan-Meier analysis was used to examine characteristics associated with 30-day unplanned readmission. Factors with a p rate was 11 %. After adjusting for patient and perioperative factors, a postoperative LOS ≥8 days was associated with a 55 % increase in the relative hazard of readmission. Patients with a ≤3-day LOS were more likely to be readmitted with ileus/obstruction (odds ratio (OR): 1.8, p = 0.001) and pain (OR: 2.2, p = 0.007). LOS was not significantly associated with readmission for intraabdominal infection or medical complications. Patients with longer LOS and complicated hospital courses continue to be high risk post-discharge, while straightforward early discharges have a different readmission risk profile. More targeted readmission prevention strategies are critical to focusing resource utilization for colorectal surgery patients.

  19. Costs and Risk Factors for Hospital Readmission After Periprosthetic Knee Fractures in the United States.

    Science.gov (United States)

    Reeves, Russell A; Schairer, William W; Jevsevar, David S

    2018-02-01

    Periprosthetic fractures (PPFX) around total knee arthroplasty (TKA) are devastating complications with significant morbidity. With growing healthcare costs, hospital readmissions have become a marker for quality healthcare delivery. However, little is known about the risk factors or costs associated with readmission after treatment of PPFX. We sought to identify the patient demographics, prevalence of treatment types (open reduction internal fixation [ORIF] vs revision TKA), 30 and 90-day readmission rates, costs of initial treatment and readmission, and risk factors for readmission. We used the 2013 Nationwide Readmissions Database to select patients who underwent TKA, revision TKA, and treatment of PPFX with either ORIF or revision TKA. The 90-day readmission rate was determined through a survival analysis, and risk factors were identified using a cox proportional hazards model that adjusted for patient and hospital characteristics. We identified 1526 patients with PPFX treated with ORIF and 1458 treated with revision TKA. Ninety-day readmissions were 20.5% and 21.8%, respectively. Patients with ORIF were more often female and had multiple medical comorbidities. Patient factors associated with readmission included advanced age, male gender, comorbidities, discharge to a skilled nursing facility or home with health aide, and Medicare or Medicaid insurance. Treatment at a teaching hospital was the only hospital-associated risk factor identified. ORIF cost USD 25,539 and revision THA cost USD 37,680, with associated readmissions costing 15,269 and 16,806, respectively. PPFX results in greater costs compared to primary and revision TKA. This study highlights risk factors for readmission after PPFX treatment. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. Reducing readmissions to detoxification: an interorganizational network perspective.

    Science.gov (United States)

    Spear, Suzanne E

    2014-04-01

    The high cost of detoxification (detox) services and health risks associated with continued substance abuse make readmission to detox an important indicator of poor performance for substance use disorder treatment systems. This study examined the extent to which the structure of local networks available to detox programs affects patients' odds of readmission to detox within 1 year. Administrative data from 32 counties in California in 2008-2009 were used to map network ties between programs based on patient transfers. Social network analysis was employed to measure structural features of detox program networks. Contextual predictors included efficiency (proportion of ties within a network that are non-redundant) and out-degree (number of outgoing ties to other programs). A binary mixed model was used to predict the odds of readmission among detox patients in residential (non-hospital) facilities (N=18,278). After adjusting for patient-level covariates and continuity of service from detox to outpatient or residential treatment, network efficiency was associated with lower odds of readmission. The impact of network structure on detox readmissions suggests that the interorganizational context in which detox programs operate may be important for improving continuity of service within substance use disorder treatment systems. Implications for future research are discussed. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  1. Effects of Postacute Settings on Readmission Rates and Reasons for Readmission Following Total Knee Arthroplasty.

    Science.gov (United States)

    Welsh, Rodney Laine; Graham, James E; Karmarkar, Amol M; Leland, Natalie E; Baillargeon, Jacques G; Wild, Dana L; Ottenbacher, Kenneth J

    2017-04-01

    Examine the effects of postacute discharge setting on unplanned hospital readmissions following total knee arthroplasty (TKA) in older adults. Secondary analyses of 100% Medicare (inpatient) claims files. Acute hospitals across the United States. Medicare fee-for-service beneficiaries ≥66 years of age who were discharged from an acute hospital following TKA in 2009-2011 (n = 608,031). The outcome measure was unplanned readmissions at 30, 60, and 90 days. The independent variable of interest was postacute discharge setting: inpatient rehabilitation facility (IRF), skilled nursing facility (SNF), or community. Covariates included demographic, clinical, and facility-level factors. The top 10 reasons for readmission were tabulated for each discharge setting across the 3 consecutive 30-day time periods. A total of 32,226 patients (5.3%) were re-admitted within 30 days. Compared with community discharge, patients discharged to IRF and SNF had 44% and 40% higher odds of 30-day readmission, respectively. IRF and SNF discharge settings were also associated with 48% and 45% higher odds of 90-day readmission, respectively, compared with community discharge. The largest increase in readmission rates occurred within the first 30 days of hospital discharge for each discharge setting. From 1 to 30 days, postoperative and post-traumatic infections were among the top causes for readmission in all 3 discharge settings. From 31 to 60 days, postoperative or traumatic infections remained in the top 5-7 reasons for readmission in all settings, but they were not in the top 10 at 61 to 90 days. Patients discharged to either SNF or IRF, in comparison with those discharged to the community, had greater likelihood of readmission within 30 and 90 days. The reasons for readmission were relatively consistent across discharge settings and time periods. These findings provide new information relevant to the delivery of postacute care to older adults following TKA. Copyright © 2017

  2. After laparoscopic Heller myotomy, do emergency department visits or readmissions predict poor long-term outcomes?

    Science.gov (United States)

    Ross, Sharona; Villadolid, Desiree; Al-Saadi, Sam; Boyle, Robert; Cowgill, Sarah M; Rosemurgy, Alexander

    2008-12-01

    Laparoscopic Heller myotomy is a first-line treatment for achalasia. To improve outcomes after myotomy and to determine if poor early results predict later outcomes, emergency department (ED) visits and readmissions within 60 days following laparoscopic Heller myotomy were studied. Since 1992, 352 patients have undergone laparoscopic Heller myotomy and are followed through a prospectively maintained registry. Causes of ED visits and readmissions within 60 days after myotomy were determined. Patients scored their symptoms of achalasia before myotomy and at last follow-up; scores were compared to determine if the reasons leading to ED visits and/or readmissions impacted long-term outcome after myotomy. Fourteen (4%) patients had ED visits, and 18 (5%) patients had readmissions within 60 days following myotomy. Sixty-four percent of ED visits were for dysphagia/vomiting and 36% were for abdominal/chest pain, while 37% of readmissions were for dysphagia/vomiting. Pneumonia was complicated by empyema in four patients, all without leaks; two patients expired. Despite ED visits/readmissions, achalasia symptom (e.g., dysphagia, regurgitation, choking, heartburn, and chest pain) frequency and severity scores improved after myotomy (p Heller myotomy. ED visits were generally due to complaints related to achalasia or edema after myotomy, while readmissions were generally related to complications of operative intervention or chronic ill health. Despite ED visits or readmissions early after myotomy, symptoms of achalasia are well palliated by myotomy long-term.

  3. Implications of Metric Choice for Common Applications of Readmission Metrics

    OpenAIRE

    Davies, Sheryl; Saynina, Olga; Schultz, Ellen; McDonald, Kathryn M; Baker, Laurence C

    2013-01-01

    Objective. To quantify the differential impact on hospital performance of three readmission metrics: all-cause readmission (ACR), 3M Potential Preventable Readmission (PPR), and Centers for Medicare and Medicaid 30-day readmission (CMS).

  4. Magnitude of Anemia at Discharge Increases 30-Day Hospital Readmissions.

    Science.gov (United States)

    Koch, Colleen G; Li, Liang; Sun, Zhiyuan; Hixson, Eric D; Tang, Anne; Chagin, Kevin; Kattan, Michael; Phillips, Shannon C; Blackstone, Eugene H; Henderson, J Michael

    2017-12-01

    Anemia during hospitalization is associated with poor health outcomes. Does anemia at discharge place patients at risk for hospital readmission within 30 days of discharge? Our objectives were to examine the prevalence and magnitude of anemia at hospital discharge and determine whether anemia at discharge was associated with 30-day readmissions among a cohort of hospitalizations in a single health care system. From January 1, 2009, to August 31, 2011, there were 152,757 eligible hospitalizations within a single health care system. The endpoint was any hospitalization within 30 days of discharge. The University HealthSystem Consortium's clinical database was used for demographics and comorbidities; hemoglobin values are from the hospitals' electronic medical records, and readmission status was obtained from the University HealthSystem Consortium administrative data systems. Mild anemia was defined as hemoglobin of greater than 11 to less than 12 g/dl in women and greater than 11 to less than 13 g/dl in men; moderate, greater than 9 to less than or equal to 11 g/dl; and severe, less than or equal to 9 g/dl. Logistic regression was used to assess the association of anemia and 30-day readmissions adjusted for demographics, comorbidity, and hospitalization type. Among 152,757 hospitalizations, 72% of patients were discharged with anemia: 31,903 (21%), mild; 52,971 (35%), moderate; and 25,522 (17%), severe. Discharge anemia was associated with severity-dependent increased odds for 30-day hospital readmission compared with those without anemia: for mild anemia, 1.74 (1.65-1.82); moderate anemia, 2.76 (2.64-2.89); and severe anemia, 3.47 (3.30-3.65), P < 0.001. Anemia at discharge is associated with a severity-dependent increased risk for 30-day readmission. A strategy focusing on anemia treatment care paths during index hospitalization offers an opportunity to influence subsequent readmissions.

  5. Risk Factors for 30-Day Readmission Following Shoulder Arthroscopy.

    Science.gov (United States)

    Hill, J Ryan; McKnight, Braden; Pannell, William C; Heckmann, Nathanael; Sivasundaram, Lakshmanan; Mostofi, Amir; Omid, Reza; Rick Hatch, George F

    2017-01-01

    The purpose of this study was to evaluate a large population of shoulder arthroscopy cases in order to provide insight into the risk factors associated with readmission following this common orthopaedic procedure. The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database was queried using current procedural terminology (CPT) billing codes to identify all patients older than 18 years of age who underwent shoulder arthroscopy between 2011 and 2013. Univariate and multivariate analyses were conducted to identify factors associated with 30-day readmission. We identified 15,015 patients who had undergone shoulder arthroscopy, with a 30-day readmission rate of 0.98%. The most common reason for readmission was pulmonary embolism (0.09%). On multivariate analysis, operative time > 1.5 hours (odds ratio [OR], 1.80; 95% confidence interval [CI], 1.29 to 2.50), age 40 to 65 years (OR, 3.80; 95% CI, 1.37 to 10.59), age > 65 years (OR, 3.91; 95% CI, 1.35 to 11.35), American Society of Anesthesiologists (ASA) class 3 (OR, 4.53; 95% CI, 1.90 to 10.78), ASA class 4 (OR, 7.73; 95% CI, 2.91 to 27.25), chronic obstructive pulmonary disease (COPD; OR, 2.65; 95% CI, 1.54 to 4.55), and chronic steroid use (OR, 2.96; 95% CI, 1.46 to 6.01) were identified as independent risk factors for readmission. Operative time > 1.5 hours, age > 40 years, ASA classes 3 or 4, COPD, and chronic steroid use are independent risk factors for readmission following elective arthroscopic shoulder surgery, although the readmission rate following these procedures is low. Level III, retrospective comparative study. Copyright © 2016 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

  6. Predictors, costs, and causes of readmission after surgery for sinonasal cancer: a national perspective.

    Science.gov (United States)

    Goel, Alexander N; Yang, Jason Y; Wang, Marilene B; Lee, Jivianne T; St John, Maie A; Long, Jennifer L

    2018-05-02

    Hospital readmissions are an increasingly scrutinized marker of surgical care delivery and quality. There is a paucity of information in the literature regarding the rate, risk factors, and common causes of readmission after surgery for sinonasal cancer. We analyzed the Nationwide Readmissions Database for patients who underwent surgery for a diagnosis of sinonasal cancer between 2010 and 2014. Rates, causes, and patient-, procedure-, and hospital-level risk factors for 30-day readmission were determined. Multivariate logistic regression was used to identify predictors of 30-day readmission. Among the 4173 cases, the 30-day readmission rate was 11.6%, with an average cost per readmission of $18,403. The most common readmission diagnoses were wound complications (15.3%) and infections (13.4%). On multivariate regression, significant risk factors for readmission were chronic renal failure (odds ratio [OR], 2.95; 95% confidence interval [CI], 1.41-6.17), involvement of the skull base or orbit (OR, 1.67; 95% CI, 1.11-2.51), nonelective initial surgical admission (OR, 2.35; 95% CI, 1.42-3.89), and length of stay ≥7 days (OR, 1.87; 95% CI, 1.14-3.05). Through the use of a large national database, we found that approximately 1 in 9 patients undergoing surgery for sinonasal cancer was readmitted within 30 days. Readmissions were most commonly associated with wound complications and infections. Factors related to procedural complexity were more important predictors of readmission than patients' demographics or comorbidities. © 2018 ARS-AAOA, LLC.

  7. Predictors of 30-day readmission following pancreatic surgery: A retrospective review.

    Science.gov (United States)

    Amodu, Leo I; Alexis, Jamil; Soleiman, Aron; Akerman, Meredith; Addison, Poppy; Iurcotta, Toni; Rilo, Horacio L Rodriguez

    2018-04-22

    Pancreatectomies have been identified as procedures with an increased risk of readmission. In surgical patients, readmissions within 30 days of discharge are usually procedure-related. We sought to determine predictors of 30-day readmission following pancreatic resections in a large healthcare system. We retrospectively collected information from the records of 383 patients who underwent pancreatic resections from 2004-2013. To find the predictors of readmission in the 30 days after discharge, we performed a univariate screen of possible variables using the Fisher's exact test for categorical variables and the Mann-Whitney U test for continuous variables. Multivariate analysis was used to determine the independent factors. Fifty-eight (15.1%) patients were readmitted within 30 days of discharge. Of the patients readmitted, the most common diagnoses at readmission were sepsis (17.2%), and dehydration (8.6%). Multivariate logistic regression found that the development of intra-abdominal fluid collections (OR = 5.32, P readmission within 30 days of discharge. Our data demonstrate that factors predictive of 30-day readmission are a combination of patient characteristics and the development of post-operative complications. Targeted interventions may be used to reduce the risk of readmission. Copyright © 2018. Published by Elsevier B.V.

  8. Determinants of preventable readmissions in the United States: a systematic review

    Directory of Open Access Journals (Sweden)

    Slawson Kevin M

    2010-11-01

    Full Text Available Abstract Background Hospital readmissions are a leading topic of healthcare policy and practice reform because they are common, costly, and potentially avoidable events. Hospitals face the prospect of reduced or eliminated reimbursement for an increasing number of preventable readmissions under nationwide cost savings and quality improvement efforts. To meet the current changes and future expectations, organizations are looking for potential strategies to reduce readmissions. We undertook a systematic review of the literature to determine what factors are associated with preventable readmissions. Methods We conducted a review of the English language medicine, health, and health services research literature (2000 to 2009 for research studies dealing with unplanned, avoidable, preventable, or early readmissions. Each of these modifying terms was included in keyword searches of readmissions or rehospitalizations in Medline, ISI, CINAHL, The Cochrane Library, ProQuest Health Management, and PAIS International. Results were limited to US adult populations. Results The review included 37 studies with significant variation in index conditions, readmitting conditions, timeframe, and terminology. Studies of cardiovascular-related readmissions were most common, followed by all cause readmissions, other surgical procedures, and other specific-conditions. Patient-level indicators of general ill health or complexity were the commonly identified risk factors. While more than one study demonstrated preventable readmissions vary by hospital, identification of many specific organizational level characteristics was lacking. Conclusions The current literature on preventable readmissions in the US contains evidence from a variety of patient populations, geographical locations, healthcare settings, study designs, clinical and theoretical perspectives, and conditions. However, definitional variations, clear gaps, and methodological challenges limit translation of

  9. Preventability of early vs. late readmissions in an academic medical center.

    Directory of Open Access Journals (Sweden)

    Kelly L Graham

    Full Text Available It is unclear if the 30-day unplanned hospital readmission rate is a plausible accountability metric.Compare preventability of hospital readmissions, between an early period [0-7 days post-discharge] and a late period [8-30 days post-discharge]. Compare causes of readmission, and frequency of markers of clinical instability 24h prior to discharge between early and late readmissions.120 patient readmissions in an academic medical center between 1/1/2009-12/31/2010.Sum-score based on a standard algorithm that assesses preventability of each readmission based on blinded hospitalist review; average causation score for seven types of adverse events; rates of markers of clinical instability within 24h prior to discharge.Readmissions were significantly more preventable in the early compared to the late period [median preventability sum score 8.5 vs. 8.0, p = 0.03]. There were significantly more management errors as causative events for the readmission in the early compared to the late period [mean causation score [scale 1-6, 6 most causal] 2.0 vs. 1.5, p = 0.04], and these errors were significantly more preventable in the early compared to the late period [mean preventability score 1.9 vs 1.5, p = 0.03]. Patients readmitted in the early period were significantly more likely to have mental status changes documented 24h prior to hospital discharge than patients readmitted in the late period [12% vs. 0%, p = 0.01].Readmissions occurring in the early period were significantly more preventable. Early readmissions were associated with more management errors, and mental status changes 24h prior to discharge. Seven-day readmissions may be a better accountability measure.

  10. Coronary artery bypass graft readmission rates and risk factors - A retrospective cohort study.

    Science.gov (United States)

    Feng, T Robert; White, Robert S; Gaber-Baylis, Licia K; Turnbull, Zachary A; Rong, Lisa Q

    2018-04-17

    Hospital readmissions contribute substantially to the overall healthcare cost. Coronary artery bypass graft (CABG) is of particular interest due to its relatively high short-term readmission rates and mean hospital charges. A retrospective review was performed on 2007-2011 data from California, Florida, and New York from the State Inpatient Databases, Healthcare Cost and Utilization Project. All patients ≥18 years of age who underwent isolated CABG and met inclusion/exclusion criteria were included. Insurance status was categorized by Medicaid, Medicare, Private Insurance, Uninsured, and Other. Primary outcomes were unadjusted rates and adjusted odds of readmission at 30- and 90-days. Secondary outcomes included diagnosis at readmission. A total of 177,229 were included in the analyses after assessing for exclusion criteria. Overall 30-day readmission rate was 16.1%; rates were highest within Medicare (18.4%) and Medicaid (20.2%) groups and lowest in the private insurance group (11.7%; p readmission diagnoses were atrial fibrillation (26.7%), pleural effusion (22.5%), and wound infection (17.7%). Medicare patients had the highest proportion of readmissions with atrial fibrillation (31.7%) and pleural effusions (23.3%), while Medicaid patients had the highest proportion of readmissions with wound infections (21.8%). Similar results were found at 90 days. Risk factors for readmission included non-private insurance, age, female sex, non-white race, low median household income, non-routine discharge, length of stay, and certain comorbidities and complications. CABG readmission rates remain high and are associated with insurance status and racial and socioeconomic markers. Further investigation is necessary to better delineate the underlying factors that relate racial and socioeconomic disparities to CABG readmissions. Understanding these factors will be key to improving healthcare outcomes and expenditure. Copyright © 2018 IJS Publishing Group Ltd. Published by

  11. Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffing.

    Science.gov (United States)

    McHugh, Matthew D; Berez, Julie; Small, Dylan S

    2013-10-01

    The Affordable Care Act's Hospital Readmissions Reduction Program (HRRP) penalizes hospitals based on excess readmission rates among Medicare beneficiaries. The aim of the program is to reduce readmissions while aligning hospitals' financial incentives with payers' and patients' quality goals. Many evidence-based interventions that reduce readmissions, such as discharge preparation, care coordination, and patient education, are grounded in the fundamentals of basic nursing care. Yet inadequate staffing can hinder nurses' efforts to carry out these processes of care. We estimated the effect that nurse staffing had on the likelihood that a hospital was penalized under the HRRP. Hospitals with higher nurse staffing had 25 percent lower odds of being penalized compared to otherwise similar hospitals with lower staffing. Investment in nursing is a potential system-level intervention to reduce readmissions that policy makers and hospital administrators should consider in the new regulatory environment as they examine the quality of care delivered to US hospital patients.

  12. Using decision trees to explore the association between the length of stay and potentially avoidable readmissions: A retrospective cohort study.

    Science.gov (United States)

    Alyahya, Mohammad S; Hijazi, Heba H; Alshraideh, Hussam A; Al-Nasser, Amjad D

    2017-12-01

    There is a growing concern that reduction in hospital length of stay (LOS) may raise the rate of hospital readmission. This study aims to identify the rate of avoidable 30-day readmission and find out the association between LOS and readmission. All consecutive patient admissions to the internal medicine services (n = 5,273) at King Abdullah University Hospital in Jordan between 1 December 2012 and 31 December 2013 were analyzed. To identify avoidable readmissions, a validated computerized algorithm called SQLape was used. The multinomial logistic regression was firstly employed. Then, detailed analysis was performed using the Decision Trees (DTs) model, one of the most widely used data mining algorithms in Clinical Decision Support Systems (CDSS). The potentially avoidable 30-day readmission rate was 44%, and patients with longer LOS were more likely to be readmitted avoidably. However, LOS had a significant negative effect on unavoidable readmissions. The avoidable readmission rate is still highly unacceptable. Because LOS potentially increases the likelihood of avoidable readmission, it is still possible to achieve a shorter LOS without increasing the readmission rate. Moreover, the way the DT model classified patient subgroups of readmissions based on patient characteristics and LOS is applicable in real clinical decisions.

  13. Risk factors for thirty-day readmission following flap reconstruction of oncologic defects of the head and neck.

    Science.gov (United States)

    Osborn, Heather A; Rathi, Vinay K; Tjoa, Tjoson; Goyal, Neerav; Yarlagadda, Bharat B; Rich, Debbie L; Emerick, Kevin S; Lin, Derrick T; Deschler, Daniel G; Durand, Marlene L

    2018-02-01

    Unplanned 30-day readmission rate following hospital discharge is an important metric of healthcare quality. This study sought to characterize the rate, risk factors, and common causes of readmission in head and neck cancer patients following free or pedicled flap reconstruction. Retrospective cohort study. Charts were reviewed of all patients who underwent free or pedicled flap reconstruction following resection of head and neck cancer at the Massachusetts Eye and Ear Infirmary 2009 to 2014. Readmission risk factors were evaluated by univariate and multivariate analysis. Of 682 patients with free (76%) or pedicled flap reconstruction, 135 patients (19.8%) were readmitted. Factors not associated with readmission included age, gender, American Society of Anesthesiologists status, operative time, prior radiation therapy, primary cancer site, and free (vs. pedicled) flap type. Significant readmission risk factors included surgical site infections (SSI) (45.2% vs. 9.9%), use of hardware (18.5% vs. 11.3%), and clean-contaminated or contaminated surgery (15.2% vs. clean 8.2%). Surgical site infections (P readmission on multiple regression analysis. Primary reasons for readmission included wound complications (61.5%) and supportive care (15.6%). The median time to readmission was 8 days, and 41% of readmissions occurred within 1 week. Seventy percent of readmissions occurred within 2 weeks, including 77% of readmissions for SSIs and 86% for supportive care. Readmissions occurred in nearly one-fifth of patients following flap surgery. SSIs and use of hardware were risk factors, whereas wound complications were the most common cause of readmission. 4. Laryngoscope, 128:343-349, 2018. © 2017 The American Laryngological, Rhinological and Otological Society, Inc.

  14. Perioperative risk factors for hospital readmission after elective endovascular aortic aneurysm repair.

    Science.gov (United States)

    Chen, Samuel L; Kuo, Isabella J; Kabutey, Nii-Kabu; Gabra, Fady; Fujitani, Roy M

    2018-04-02

    Elective endovascular aneurysm repair (EVAR) is generally well tolerated. However, the incidence of hospital readmission after EVAR and the risk factors and reasons for it are not well studied. This study sought to determine the incidence, to characterize the indications, and to identify perioperative patient-centered risk factors for hospital readmission within 30 days after elective EVAR. All patients who underwent EVAR electively in 2012 to 2013 were identified from the American College of Surgeons National Surgical Quality Improvement Program Targeted Vascular database (n = 3886). Preoperative demographics, operation-specific variables, and postoperative outcomes were compared between those who were readmitted within 30 days of the index operation and those who were not. Multivariate logistic regression was then used to determine independent predictors of hospital readmission. The unadjusted 30-day readmission rate after EVAR was 8.2%. Of all readmissions, 55% were for reasons related to the procedure. Median time to readmission was 12 days. Significant preoperative risk factors associated with readmission were female sex, preoperative steroid use, congestive heart failure, and dialysis dependence (P readmission, including myocardial infarction and deep venous thrombosis (P readmission were surgical site infection (odds ratio, 10.24; 95% confidence interval, 5.31-19.75; P readmissions remain a costly problem after vascular surgery and are associated with 30-day mortality after elective EVAR. Whereas female sex and certain irreversible medical comorbidities are nonmodifiable, focusing on medical optimization and identifying those perioperative variables that can affect the need for post-EVAR interventions will be an important step in decreasing hospital readmission. Copyright © 2018 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

  15. Race as a predictor of postoperative hospital readmission after spine surgery.

    Science.gov (United States)

    Martin, Joel R; Wang, Timothy Y; Loriaux, Daniel; Desai, Rupen; Kuchibhatla, Maragatha; Karikari, Isaac O; Bagley, Carlos A; Gottfried, Oren N

    2017-12-01

    Hospital readmission after surgery results in a substantial economic burden, and several recent studies have investigated the impact of race and ethnicity on hospital readmission rates, with the goal to identify hospitals and patients with high readmission risk. This single-institution, retrospective cohort study assesses the impact of race, along with other risk factors, on 30-day readmission rates following spinal surgery. This study is a single-institution retrospective cohort study with accrual from January 1, 2008, to December 31, 2010. Inclusion criteria included adult patients who underwent anterior and/or posterior spinal surgery. The primary aim of this study was to assess the impact of patient race and other risk factors for postoperative hospital readmission within 30days following spine surgery. A total of 1346 patients (654 male, 692 female) were included in the study. Overall, 159 patients (11.8%) were readmitted in the 30days following their surgery. Multivariate logistic regression found significant risk factors for 30-day readmission, including Black race (OR: 2.20, C.I. 95% (1.04, 4.64)) and total length of stay greater than 7days (OR: 4.73, C.I. 95% (1.72, 12.98)). Cervical surgery was associated with decreased odds of readmission (OR: 0.27, C.I. 95% (0.08, 0.91)). Our study demonstrates that race and length of hospital stay influence the incidence of 30-day readmission rates after spinal surgery. Studies such as ours will aid in identifying patients with postoperative readmission risk and help elucidate the underlying factors that may be contributing to disparities in readmission after surgery. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. Association Between Community Social Capital and Hospital Readmission Rates.

    Science.gov (United States)

    Brewster, Amanda L; Lee, Suhna; Curry, Leslie A; Bradley, Elizabeth H

    2018-05-31

    Hospital readmissions remain frequent, and are partly attributable to patients' social needs. The authors sought to examine whether local community levels of social capital are associated with hospital readmission rates. Social capital refers to the connections among members of a society that foster norms of reciprocity and trust, which may influence the availability of support for postdischarge recovery after hospitalization. Associations between hospital-wide, risk-stratified readmission rates for hospitals in the United States (n = 4298) and levels of social capital in the hospitals' service areas were examined. Social capital was measured by an index of participation in associational activities and civic affairs. A multivariate linear regression model was used to adjust for hospital and community factors such as hospital financial performance, race, income, and availability of heath care services. Results showed that higher social capital was significantly associated with lower readmission rates (P social capital in its region, but in areas of low social capital, it may be possible for public or philanthropic sectors to buttress the types of institutions that address nonmedical causes of readmission.

  17. General practitioners' home visit tendency and readmission-free survival after COPD hospitalisation

    DEFF Research Database (Denmark)

    Lykkegaard, Jesper; Larsen, Pia V; Paulsen, Maja S

    2014-01-01

    Background:The tendency of general practitioners (GPs) to conduct home visits is considered an important aspect of practices' accessibility and quality of care.Aims:To investigate whether GPs' tendency to conduct home visits affects 30-day readmission or death after hospitalisation with chronic...... obstructive pulmonary disease.Methods:All Danish patients first-time hospitalised with COPD during the years 2006-2008 were identified. The association between the GP's tendency to conduct home visits and the time from hospital discharge until death or all-cause readmission was analysed by means of Cox...... been readmitted and 1.6% had died without readmission. A U-shaped dose-response relationship was found between GP home visit tendency and readmission-free survival. The lowest adjusted risk of readmission or death was recorded among patients who were listed with a general practice in which >20...

  18. Assessing Readmission After General, Vascular, and Thoracic Surgery Using ACS-NSQIP

    Science.gov (United States)

    Lucas, Donald J.; Haider, Adil; Haut, Elliot; Dodson, Rebecca; Wolfgang, Christopher L.; Ahuja, Nita; Sweeney, John; Pawlik, Timothy M.

    2015-01-01

    Objective In 2012, Medicare began cutting reimbursement for hospitals with high readmission rates. We sought to define the incidence and risk factors associated with readmission after surgery. Methods A total of 230,864 patients discharged after general, upper gastrointestinal (GI), small and large intestine, hepatopancreatobiliary (HPB), vascular, and thoracic surgery were identified using the 2011 American College of Surgeons National Surgical Quality Improvement Program. Readmission rates and patient characteristics were analyzed. A predictive model for readmission was developed among patients with length of stay (LOS) 10 days or fewer and then validated using separate samples. Results Median patient age was 56 years; 43% were male, and median American Society of Anesthesiologists (ASA) class was 2 (general surgery: 2; upper GI: 3; small and large intestine: 2; HPB: 3; vascular: 3; thoracic: 3; P readmission was 7.8% (general surgery: 5.0%; upper GI: 6.9%; small and large intestine: 12.6%; HPB: 15.8%; vascular: 11.9%; thoracic: 11.1%; P readmission included ASA class, albumin less than 3.5, diabetes, inpatient complications, nonelective surgery, discharge to a facility, and the LOS (all P readmission. A simple integer-based score using ASA class and the LOS predicted risk of readmission (area under the receiver operator curve 0.702). Conclusions Readmission among patients with the LOS 10 days or fewer occurs at an incidence of at least 5% to 16% across surgical subspecialties. A scoring system on the basis of ASA class and the LOS may help stratify readmission risk to target interventions. PMID:24022435

  19. Strategies to Modify the Risk of Heart Failure Readmission

    Directory of Open Access Journals (Sweden)

    Thomas T. H. Wan

    2017-03-01

    Full Text Available Background: Human factors play an important role in health-care outcomes of heart failure (HF patients. A systematic review and meta-analysis of clinical trial studies on HF hospitalization may yield positive proofs of the beneficial effect of specific care management strategies. Purpose: To investigate how the 8 guiding principles of choice, rest, environment, activity, trust, interpersonal relationships, outlook, and nutrition reduce HF readmissions. Basic Procedures: Appropriate keywords were identified related to the (1 independent variable of hospitalization and treatment, (2 the moderating variable of care management principles, (3 the dependent variable of readmission, and (4 the disease of HF to conduct searches in 9 databases. Databases searched included CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, ERIC, MEDLINE, PubMed, PsycInfo, Science Direct, and Web of Science. Only prospective studies associated with HF hospitalization and readmissions, published in English, Chinese, Spanish, and German journals between January 1, 1990, and August 31, 2015, were included in the systematic review. In the meta-analysis, data were collected from studies that measured HF readmission for individual patients. Main Findings: The results indicate that an intervention involving any human factor principles may nearly double an individual’s probability of not being readmitted. Participants in interventions that incorporated single or combined principles were 1.4 to 6.8 times less likely to be readmitted. Principal Conclusions: Interventions with human factor principles reduce readmissions among HF patients. Overall, this review may help reconfigure the design, implementation, and evaluation of clinical practice for reducing HF readmissions in the future.

  20. A proactive outreach intervention that decreases readmission after hepatectomy.

    Science.gov (United States)

    Narula, Nisha; Kim, Bradford J; Davis, Catherine H; Dewhurst, Whitney L; Samp, Leigh A; Aloia, Thomas A

    2018-04-01

    After hepatectomy, 7%-19% of patients are readmitted within 30 days, accounting for substantial cost and poor patient experience. The purpose of this study was to analyze the impact of a proactive outreach intervention on readmissions. Consecutive patients undergoing hepatectomy by a single surgeon 2012-2016 were identified in a prospectively maintained database. In August 2013 a postoperative intervention was implemented; an advanced practice provider called each patient within 72 hours of discharge. Readmission rates were compared pre- and postintervention using standard statistics. Two hundred thirty-one patients met the inclusion criteria and major hepatectomy was performed in 45.5% of patients. Although the complication rate was similar (25.0% preintervention and 19.4% postintervention, P = .324), readmissions within 30 days of operation decreased from 14.5% pre- to 6.5% postintervention (P = .046). Approximately 30% of outreach interactions required outpatient intervention. Factors associated with readmission on univariate analysis included increased operative time (P = .007), major hepatectomy (P = .012), hemi or extended hepatectomy (P = .032), second stage operation (P = .031), bile leak (P = 0.022), and any complication/modified Accordion complication ≥ 3 within 30 days (P work created by the intervention is likely offset by decreased inpatient care needs and costs. Identification of high-risk populations and application of technology are likely to lead to further improvements. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. Risk Factors for Readmission Following Lower Extremity Bypass in the ACS-NSQIP

    Science.gov (United States)

    Zhang, Jennifer Q.; Curran, Thomas; McCallum, John C.; Wang, Li; Wyers, Mark C.; Hamdan, Allen D.; Guzman, Raul J.; Schermerhorn, Marc L.

    2014-01-01

    Objectives Readmission is associated with high mortality, morbidity, and cost. We used the ACS-NSQIP to determine risk factors for readmission following lower extremity bypass (LEB). Methods We identified all patients who received LEB in the 2011 ACS-NSQIP database. Multivariable logistic regression was used to assess independent predictors of 30-day readmission. We also identified our institutional contribution of LEB patients to the ACS-NSQIP from 2005–2011 to determine our institution’s rate of readmission and readmission indications. Results Among 5018 patients undergoing LEB, ACS-NSQIP readmission analysis was performed on 4512, excluding those whose readmission data was unavailable, suffered a death on index admission, or remained in the hospital at 30 days. Overall readmission rate was 18%, and readmission rate of those with NSQIP captured complications was 8%. Multivariable predictors of readmission were dependent functional status (OR 1.40, 95% CI: 1.08–1.79), dyspnea (OR 1.28, 95% CI: 1.02–1.60), cardiac comorbidity (OR 1.46, 95% CI: 1.16–1.84), dialysis dependence (OR 1.44, 95% CI: 1.05–1.97), obesity (OR 1.28, 95% CI: 1.07–1.53), malnutrition (OR 1.42, 95% CI 1.12–1.79), CLI operative indication (OR 1.40, 95% CI: 1.10–1.79), and return to the operating room on index admission (OR 8.0, 95% CI: 6.68–9.60). The most common post-discharge complications occurring in readmitted patients included wound complications (56%), multiple complications (22%), and graft failure (5%). Our institutional data contributed 465 LEB patients to the ACS-NSQIP from 2005–2012, with an overall readmission rate of 14%. Unplanned readmissions related to the original LEB (related unplanned) made up 75% of cases. The remainder 25% included readmissions that were planned staged procedures related to the original LEB (related planned, 11%) and admissions for a completely unrelated reason (unrelated unplanned, 14%). The most common readmission indications included

  2. Readmissions due to traffic accidents at a general hospital.

    Science.gov (United States)

    Paiva, Luciana; Monteiro, Damiana Aparecida Trindade; Pompeo, Daniele Alcalá; Ciol, Márcia Aparecida; Dantas, Rosana Aparecida Spadotti; Rossi, Lídia Aparecida

    2015-01-01

    to verify the occurrence and the causes of hospital readmissions within a year after discharge from hospitalizations due to traffic accidents. victims of multiple traumas due to traffic accidents were included, who were admitted to an Intensive Care Unit. Sociodemographic data, accident circumstances, body regions affected and cause of readmission were collected from the patient histories. among the 109 victims of traffic accidents, the majority were young and adult men. Most hospitalizations due to accidents involved motorcycle drivers (56.9%). The causes of the return to the hospital were: need to continue the surgical treatment (63.2%), surgical site infection (26.3%) and fall related to the physical sequelae of the trauma (10.5%). The rehospitalization rate corresponded to 174/1,000 people/year. the hospital readmission rate in the study population is similar to the rates found in other studies. Victims of severe limb traumas need multiple surgical procedures, lengthier hospitalizations and extended rehabilitation.

  3. One-Year Readmission Risk and Mortality after Hip Fracture Surgery: A National Population-Based Study in Taiwan.

    Science.gov (United States)

    Lee, Tien-Ching; Ho, Pei-Shan; Lin, Hui-Tzu; Ho, Mei-Ling; Huang, Hsuan-Ti; Chang, Je-Ken

    2017-07-01

    Early readmission following hip fracture (HFx) is associated with high morbidity and mortality. We conducted a survival analysis of patients with readmission within 1 year after HFx to elucidate the trend and predictors for readmission. We used Taiwan National Health Insurance Database to recruit HFx patients who underwent operations between 2000 and 2009. Patients readmission. 5,442 subjects (61.2% female) met the criteria with mean age of 78.8 years. Approximately 15% and 43% HFx patients were readmitted within 30 days (early) and between 30 days and 1 year (late) after discharge, respectively. Highest readmission incidence was observed within the first 30 days. Most common causes of readmission in early and late groups were respiratory system diseases and injuries, respectively. Cox model showed male, old age, hospital stay > 9 days, Charlson Comorbidity Index ≥ 1, index admission during 2000-2003, and internal fixation of HFx were independent predictors of readmission. One-year mortality of the early and the late readmission groups was 44.9% and 32.3%, much higher than overall mortality which was 16.8%. Predictive factors for readmission within 1 year included male, old age, comorbidities, and longer hospital stay. One-year mortality in readmitted patients was significantly higher. HFx patients with these factors need careful follow-up, especially within 30 days after discharge.

  4. Hospital Readmissions Following Physician Call System Change: A Comparison of Concentrated and Distributed Schedules.

    Science.gov (United States)

    Yarnell, Christopher J; Shadowitz, Steven; Redelmeier, Donald A

    2016-07-01

    Physician call schedules are a critical element for medical practice and hospital efficiency. We compared readmission rates prior to and after a change in physician call system at Sunnybrook Health Sciences Centre. We studied patients discharged over a decade (2004 through 2013) and identified whether or not each patient was readmitted within the subsequent 28 days. We excluded patients discharged for a surgical, obstetrical, or psychiatric diagnosis. We used time-to-event analysis and time-series analysis to compare rates of readmission prior to and after the physician call system change (January 1, 2009). A total of 89,697 patients were discharged, of whom 10,001 (11%) were subsequently readmitted and 4280 died. The risk of readmission was increased by about 26% following physician call system change (9.7% vs 12.2%, P system change (95% confidence interval, 22%-31%; P system change persisted across patients with diverse ages, estimated readmission risks, and medical diagnoses. The net effect was equal to 7240 additional patient days in the hospital following call system change. A modest increase was observed at a nearby acute care hospital that did not change physician call system, and no increase in risk of death was observed with increased hospital readmissions. We suggest that changes in physician call systems sometimes increase subsequent hospital readmission rates. Further reductions in readmissions may instead require additional resources or ingenuity. Copyright © 2016 Elsevier Inc. All rights reserved.

  5. Risk Factors and Indications for Readmission Following Lower Extremity Amputation in the ACS-NSQIP

    Science.gov (United States)

    Curran, Thomas; Zhang, Jennifer Q.; Lo, Ruby C.; Fokkema, Margriet; McCallum, John C.; Buck, Dominique; Darling, Jeremy; Schermerhorn, Marc L.

    2014-01-01

    BACKGROUND Postoperative readmission, recently identified as a marker of hospital quality in the Affordable Care Act, is associated with increased morbidity, mortality and healthcare costs, yet data on readmission following lower extremity amputation is limited. We evaluated risk factors for readmission and post-discharge adverse events following lower extremity amputation in the ACS-NSQIP. STUDY DESIGN All patients undergoing transmetatarsal (TMA), below-knee (BKA) or above-knee amputation (AKA) in the 2011 – 2012 NSQIP were identified. Independent pre-discharge predictors of 30-day readmission were determined using multivariable logistic regression. Readmission indication and re-interventions, available in the 2012 NSQIP only, were also evaluated. RESULTS We identified 5,732 patients undergoing amputation (TMA: 12%; BKA: 51%; AKA: 37%). Readmission rate was 18%. Post-discharge mortality rate was 5% (TMA: 2%; BKA: 3%; AKA: 8%; preadmission included chronic nursing home residence (OR: 1.3; 95% CI: 1.0–1.7), non-elective surgery (OR: 1.4; 95% CI: 1.1–1.7), prior revascularization/amputation (OR: 1.4; 95% CI: 1.1–1.7), preoperative congestive heart failure (OR: 1.7; 95% CI: 1.2–2.4), and preoperative dialysis (OR: 1.5; 95% CI: 1.2–1.9). Guillotine amputation (OR: .6; 95%CI: .4–.9) and non-home discharge (OR: .7; 95%CI: .6–1.0) were protective of readmission. Wound related complications accounted for 49% of readmissions. CONCLUSIONS Post discharge morbidity, mortality and readmission are common following lower extremity amputation. Closer follow up of high risk patients, optimization of medical comorbidities and aggressive management of wound infection may play a role in decreasing readmission and post discharge adverse events. PMID:24985536

  6. Factors associated with readmission in South African adolescents ...

    African Journals Online (AJOL)

    Objective: This study aimed to describe the socio-demographic and clinical factors associated with readmission in an adolescent population discharged from two inpatient psychosocial rehabilitation (PSR) units in Cape Town, South Africa. Method: Data were obtained from 97 consecutive patients discharged from two ...

  7. Emergency medical readmission: long-term trends and impact on mortality.

    LENUS (Irish Health Repository)

    Glynn, Nigel

    2011-04-01

    There is increasing emphasis on prevention of emergency medical readmissions. The broad pattern of acute medical readmissions was studied over a seven-year period and the impact of any readmission on 30-day mortality was recorded. Significant predictors of outcome, including co-morbidity and illness severity score, were entered into a multivariate regression model, adjusting the univariate estimates of the readmission status on mortality. In total, 23,114 consecutive acute medical patients were admitted between 2002-8; the overall readmission rate was 27%. Readmission independently predicted an increased 30-day mortality; the odds ratio, was 1.12 (95% confidence interval (CI) 1.09 to 1.14). This fell to 1.05 (95% CI 1.02 to 1.08) when adjusted for outcome predictors including acute illness severity. The trend for readmissions was to progressively increase over time; the median times between consecutive admissions formed an exponential time series. Efforts to reduce or avoid readmissions may depend on an ability to modify the underlying chronic disease.

  8. Predictors of hospital re-admissions among Hispanics with hepatitis C-related cirrhosis.

    Science.gov (United States)

    Atla, Pradeep R; Sheikh, Muhammad Y; Gill, Firdose; Kundu, Rabindra; Choudhury, Jayanta

    2016-01-01

    Hospital re-admissions in decompensated cirrhosis are associated with worse patient outcomes. Hispanics have a disproportionately high prevalence of hepatitis C virus (HCV)-related morbidity and mortality. The goal of this study was to evaluate the factors affecting re-admission rates among Hispanics with HCV-related cirrhosis. A total of 292 consecutive HCV-related cirrhosis admissions (Hispanics 189, non-Hispanics 103) from January 2009 to December 2012 were retrospectively reviewed; 132 were cirrhosis-related re-admissions. The statistical analysis was performed using STATA version 11.1. Chi-square/Fisher's exact and Student's t-tests were used to compare categorical and continuous variables, respectively. Multivariate logistic regression analysis was performed to identify predictors for hospital readmissions. Among the 132 cirrhosis-related readmissions, 71% were Hispanics while 29% were non-Hispanics (P=0.035). Hepatic encephalopathy (HE) and esophageal variceal hemorrhage were the most frequent causes of the first and subsequent readmissions. Hispanics with readmissions had a higher Child-Turcotte-Pugh (CTP) class (B and C) and higher model for end-stage liver disease (MELD) scores (≥15), as well as a higher incidence of alcohol use, HE, spontaneous bacterial peritonitis, hepatocellular carcinoma, and varices (P<0.05). The majority of the study patients (81%) had MELD scores <15. Multivariate regression analysis identified alcohol use (OR 2.63; 95%CI 1.1-6.4), HE (OR 5.5; 95%CI 2-15.3), varices (OR 3.2; 95%CI 1.3-8.2), and CTP class (OR 3.3; 95%CI 1.4-8.1) as predictors for readmissions among Hispanics. CTP classes B and C, among other factors, were the major predictors for hospital readmissions in Hispanics with HCV-related cirrhosis. The majority of these readmissions were due to HE and variceal hemorrhage.

  9. Cost Analysis of Physician Assistant Home Visit Program to Reduce Readmissions After Cardiac Surgery.

    Science.gov (United States)

    Nabagiez, John P; Shariff, Masood A; Molloy, William J; Demissie, Seleshi; McGinn, Joseph T

    2016-09-01

    A physician assistant home care (PAHC) program providing house calls was initiated to reduce hospital readmissions after adult cardiac surgery. The purpose of our study was to compare 30-day PAHC and pre-PAHC readmission rate, length of stay, and cost. Patients who underwent adult cardiac surgery in the 48 months from September 2008 through August 2012 were retrospectively reviewed using pre-PAHC patients as the control group. Readmission rate, length of stay, and health care cost, as measured by hospital billing, were compared between groups matched with propensity score. Of the 1,185 patients who were discharged directly home, 155 (13%) were readmitted. Total readmissions for the control group (n = 648) was 101 patients (16%) compared with the PAHC group (n = 537) total readmissions of 54 (10%), a 38% reduction in the rate of readmission (p = 0.0049). Propensity score matched groups showed a rate reduction of 41% with 17% (62 of 363) for the control compared with 10% (37 of 363) for the PAHC group (p = 0.0061). The average hospital bill per readmission was $39,100 for the control group and $56,600 for the PAHC group (p = 0.0547). The cost of providing home visits was $25,300 for 363 propensity score matched patients. The PAHC program reduced the 30-day readmission rate by 41% for propensity score matched patients. Analysis demonstrated a savings of $977,500 at a cost of $25,300 over 2 years, or $39 in health care saved, in terms of hospital billing, for every $1 spent. Therefore, a home visit by a cardiac surgical physician assistant is a cost-effective strategy to reduce readmissions after cardiac surgery. Copyright © 2016 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

  10. Cost Analysis of Total Joint Arthroplasty Readmissions in a Bundled Payment Care Improvement Initiative.

    Science.gov (United States)

    Clair, Andrew J; Evangelista, Perry J; Lajam, Claudette M; Slover, James D; Bosco, Joseph A; Iorio, Richard

    2016-09-01

    The Bundled Payment for Care Improvement (BPCI) Initiative is a Centers for Medicare and Medicaid Services program designed to promote coordinated and efficient care. This study seeks to report costs of readmissions within a 90-day episode of care for BPCI Initiative patients receiving total knee arthroplasty (TKA) or total hip arthroplasty (THA). From January 2013 through December 2013, 1 urban, tertiary, academic orthopedic hospital admitted 664 patients undergoing either primary TKA or THA through the BPCI Initiative. All patients readmitted to our hospital or an outside hospital within 90-days from the index episode were identified. The diagnosis and cost for each readmission were analyzed. Eighty readmissions in 69 of 664 patients (10%) were identified within 90-days. There were 53 readmissions (45 patients) after THA and 27 readmissions (24 patients) after TKA. Surgical complications accounted for 54% of THA readmissions and 44% of TKA readmissions. These complications had an average cost of $36,038 (range, $6375-$60,137) for THA and $38,953 (range, $4790-$104,794) for TKA. Eliminating the TKA outlier of greater than $100,000 yields an average cost of $27,979. Medical complications of THA and TKA had an average cost of $22,775 (range, $5678-$82,940) for THA and $24,183 (range, $3306-$186,069) for TKA. Eliminating the TKA outlier of greater than $100,000 yields an average cost of $11,682. Hospital readmissions after THA and TKA are common and costly. Identifying the causes for readmission and assessing the cost will guide quality improvement efforts. Copyright © 2016 Elsevier Inc. All rights reserved.

  11. Evaluation of the Yale New Haven Readmission Risk Score for Pneumonia in a General Hospital Population.

    Science.gov (United States)

    Schaefer, Gabrielle; El-Kareh, Robert; Quartarolo, Jennifer; Seymann, Gregory

    2017-09-01

    The Yale New Haven Readmission Risk Score (YNHRRS) for pneumonia is a clinical prediction tool developed to assess risk for 30-day readmission. This tool was validated in a cohort of Medicare patients; generalizability to a broader patient population has not been evaluated. In addition, it lacks indicators of functional status or social support, which have been shown in other studies to be predictors of readmission. The objective of this study was to evaluate the generalizability of the YNHRRS for pneumonia in a general population of hospitalized patients, and assess the impact of incorporating measures of functional status and social support on its predictive value. This retrospective chart review comprised all patients admitted to a 563-bed academic medical center with a primary diagnosis of pneumonia between March 2014 and March 2015. Abstraction of clinical variables allowed calculation of the YNHRRS and additional indicators of functional status and social support. The primary outcome was 30-day readmission rate. We created a logistic regression model to predict readmission using the YNHRRS, functional status, and social support as covariates. Among 270 discharges with pneumonia, the observed readmission rate was 23%. The YNHRRS was a significant predictor of readmission in our multivariate model, with an odds ratio of 2.20 (95% confidence interval, 1.29-3.73) for each 10% increase in calculated risk. Indicators of functional status and social support were not significant predictors of readmission. The YNHRRS can be applied to an unselected population as a tool to predict patients with pneumonia at risk for readmission. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. Sex and racial/ethnic differences in the reason for 30-day readmission after COPD hospitalization.

    Science.gov (United States)

    Goto, Tadahiro; Faridi, Mohammad Kamal; Gibo, Koichiro; Camargo, Carlos A; Hasegawa, Kohei

    2017-10-01

    Reduction of 30-day readmissions in patients hospitalized for chronic obstructive pulmonary disease (COPD) is a national objective. However, there is a dearth of research on sex and racial/ethnic differences in the reason for 30-day readmission. We conducted a retrospective cohort study using 2006-2012 data from the State Inpatient Database of eight geographically-diverse US states (Arkansas, California, Florida, Iowa, Nebraska, New York, Utah, and Washington). After identifying all hospitalizations for COPD made by patients aged ≥40 years, we investigated the primary diagnostic code for all-cause readmissions within 30 days after the original COPD hospitalization, among the overall group and by sex and race/ethnicity strata. Between 2006 and 2012, there was a total of 845,465 COPD hospitalizations at risk for 30-day readmissions in the eight states. COPD was the leading diagnostic for 30-day readmission after COPD hospitalization, both overall (28%) and across all sex and race/ethnicity strata. The proportion of respiratory diseases (COPD, pneumonia, respiratory failure, and asthma) as the readmission diagnosis was higher in non-Hispanic black (55%), compared to non-Hispanic white (52%) and Hispanics (51%) (p reason for 30-day readmission in patients hospitalized for COPD. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Impact of Post-Discharge Disposition on Risk and Causes of Readmission Following Liver and Pancreas Surgery.

    Science.gov (United States)

    Chen, Qinyu; Merath, Katiuscha; Olsen, Griffin; Bagante, Fabio; Idrees, Jay J; Akgul, Ozgur; Cloyd, Jordan; Schmidt, Carl; Dillhoff, Mary; Beal, Eliza W; White, Susan; Pawlik, Timothy M

    2018-03-22

    The relationship between the post-discharge settings and the risk of readmission has not been well examined. We sought to identify the association between discharge destinations and readmission rates after liver and pancreas surgery. The 2013-2015 Medicare-Provider Analysis and Review (MEDPAR) database was reviewed to identify liver and pancreas surgical patients. Patients were subdivided into three groups based on discharge destination: home/self-care (HSC), home with home health assistance (HHA), and skilled nursing facility (SNF). The association between post-acute settings, readmission rates, and readmission causes was assessed. Among 15,141 liver or pancreas surgical patients, 60% (n = 9046) were HSC, 26.9% (n = 4071) were HHA, and 13.4% (n = 2024) were SNF. Older, female patients and patients with ≥ 2 comorbidities, ≥ 2 previous admissions, an emergent index admission, an index complication, and ≥ 5-day length of stay were more likely to be discharged to HHA or SNF compared to HSC (all P readmission, respectively. The HHA and SNF settings were also associated with a 33 and a 69% higher risk of 90-day readmission. There was no association between discharge destination and readmission causes. Among liver and pancreas surgical patients, HHA and SNF patients had a higher risk of readmission within 30 and 90 days. There was no difference in readmission causes and discharge settings. The association between discharge setting and the higher risk of readmission should be further evaluated as the healthcare system seeks to reduce readmission rates after surgery.

  14. Impact of a Post-Discharge Integrated Disease Management Program on COPD Hospital Readmissions.

    Science.gov (United States)

    Russo, Ashlee N; Sathiyamoorthy, Gayathri; Lau, Chris; Saygin, Didem; Han, Xiaozhen; Wang, Xiao-Feng; Rice, Richard; Aboussouan, Loutfi S; Stoller, James K; Hatipoğlu, Umur

    2017-11-01

    Readmission following a hospitalization for COPD is associated with significant health-care expenditure. A multicomponent COPD post-discharge integrated disease management program was implemented at the Cleveland Clinic to improve the care of patients with COPD and reduce readmissions. This retrospective study reports our experience with the program. Groups of subjects who were exposed to different components of the program were compared regarding their readmission rates. Multivariate logistic regression analysis was performed to build predictive models for 30- and 90-d readmission. One hundred sixty subjects completed a 90-d follow-up, of which, 67 attended the exacerbation clinic, 16 subjects received care coordination, 51 subjects completed both, and 26 subjects did not participate in any component despite referral. Thirty- and 90-d readmission rates for the entire group were 18.1 and 46.2%, respectively. Thirty- and 90-d readmission rates for the individual groups were: exacerbation clinic, 11.9 and 35.8%; care coordination, 25.0 and 50.0%; both, 19.6 and 41.2%; and neither, 26.9 and 80.8%, respectively. The model with the best predictive ability for 30-d readmission risk included the number of hospitalizations within the previous year and use of noninvasive ventilation (C statistic of 0.84). The model for 90-d readmission risk included receiving any component of the post-discharge integrated disease management program, the number of hospitalizations, and primary care physician visits within the previous year (C statistic of 0.87). Receiving any component of a post-discharge integrated disease management program was associated with reduced 90-d readmission rate. Previous health-care utilization and lung function impairment were strong predictors of readmission. Copyright © 2017 by Daedalus Enterprises.

  15. Increased proximal acid reflux is associated with early readmission following lung transplantation.

    Science.gov (United States)

    Lo, W-K; Goldberg, H J; Burakoff, R; Feldman, N; Chan, W W

    2016-02-01

    Gastroesophageal reflux disease has been associated with poor outcomes following lung transplantation. However, the association between pretransplant reflux and post-transplant readmission, an indicator of early clinical outcome, has not been previously assessed. This was a retrospective cohort study of lung transplant recipients undergoing pretransplant multichannel intraluminal impedance and pH (MII-pH) study off acid suppression at a tertiary care center since 2007. Subjects with pretransplant fundoplication were excluded. Time to readmission was defined as duration from post-transplant discharge to next hospital admission for any reason. Subgroup analysis was performed to exclude elective readmissions. Time-to-event analysis was performed using Cox proportional hazards model, with appropriate censoring. Forty-three subjects (60% men, mean age: 57, median follow-up: 1.7 years) met inclusion criteria for the study. Patient demographics and pretransplant cardiopulmonary function were similar between readmission cohorts. Time to all-cause readmission was associated with increased distal acid episodes (HR: 3.15, p = 0.04) and proximal acid episodes (HR: 3.61, p = 0.008) on impedance, increased acid exposure on pH (HR: 2.22, p = 0.04), and elevated Demeester score (HR: 2.26, p = 0.03). When elective readmissions were excluded, early readmission remained significantly associated with increased proximal acid reflux episodes (HR: 2.49, p = 0.04). All findings were confirmed on Kaplan-Meier analysis. Elevated proximal acid reflux on pretransplant MII-pH testing was associated with early readmission following lung transplantation, even after excluding elective readmissions. Exposure to severe acid reflux has measurable effects on early postoperative outcomes such as readmission, and aggressive early antireflux therapy should be considered. © 2015 John Wiley & Sons Ltd.

  16. Predictors of 30-day readmission after aneurysmal subarachnoid hemorrhage: a case-control study.

    Science.gov (United States)

    Greenberg, Jacob K; Guniganti, Ridhima; Arias, Eric J; Desai, Kshitij; Washington, Chad W; Yan, Yan; Weng, Hua; Xiong, Chengjie; Fondahn, Emily; Cross, DeWitte T; Moran, Christopher J; Rich, Keith M; Chicoine, Michael R; Dhar, Rajat; Dacey, Ralph G; Derdeyn, Colin P; Zipfel, Gregory J

    2017-06-01

    OBJECTIVE Despite persisting questions regarding its appropriateness, 30-day readmission is an increasingly common quality metric used to influence hospital compensation in the United States. However, there is currently insufficient evidence to identify which patients are at highest risk for readmission after aneurysmal subarachnoid hemorrhage (SAH). The objective of this study was to identify predictors of 30-day readmission after SAH, to focus preventative efforts, and to provide guidance to funding agencies seeking to risk-adjust comparisons among hospitals. METHODS The authors performed a case-control study of 30-day readmission among aneurysmal SAH patients treated at a single center between 2003 and 2013. To control for geographic distance from the hospital and year of treatment, the authors randomly matched each case (30-day readmission) with approximately 2 SAH controls (no readmission) based on home ZIP code and treatment year. They evaluated variables related to patient demographics, socioeconomic characteristics, comorbidities, presentation severity (e.g., Hunt and Hess grade), and clinical course (e.g., need for gastrostomy or tracheostomy, length of stay). Conditional logistic regression was used to identify significant predictors, accounting for the matched design of the study. RESULTS Among 82 SAH patients with unplanned 30-day readmission, the authors matched 78 patients with 153 nonreadmitted controls. Age, demographics, and socioeconomic factors were not associated with readmission. In univariate analysis, multiple variables were significantly associated with readmission, including Hunt and Hess grade (OR 3.0 for Grade IV/V vs I/II), need for gastrostomy placement (OR 2.0), length of hospital stay (OR 1.03 per day), discharge disposition (OR 3.2 for skilled nursing vs other disposition), and Charlson Comorbidity Index (OR 2.3 for score ≥ 2 vs 0). However, the only significant predictor in the multivariate analysis was discharge to a skilled

  17. A population-based comparison of 30-day readmission after surgery for colon and rectal cancer: How are they different?

    Science.gov (United States)

    Doumouras, Aristithes G; Tsao, Miriam W; Saleh, Fady; Hong, Dennis

    2016-09-01

    An implicit assumption in the analysis of colorectal readmission is that colon and rectal cancer patients are similar enough to analyze together. However, no studies have examined this assumption and whether substantial differences exist between colon and rectal cancer patients. This was a retrospective analysis of the differences in predictors, diagnoses, and costs of readmission between colon and rectal cancer cohorts for 30-day readmission. This study included all patients aged >18 who received an elective colectomy or low anterior resection for colorectal cancer from April 2008 until March 2012 in the province of Ontario. Overall, 13,571 patients were identified and the readmission rates significantly differed between rectal and colon cancer patients (7.1% colon and 10.7% rectal P = 0.001). Diabetes, age, and discharge to long term care were significantly different among colon and rectal patients in the prediction of readmission. Readmission for renal and stoma causes was more prominent in the rectal cohort. The adjusted cost difference for readmission did not significantly differ between rectal and colon cancer $178 ($1,924-1,568 P = 0.84) CONCLUSION: Several important differences in predictors and diagnoses exist between the two cohorts. Conversely, the costs associated with readmission were homogenous between rectal and colon cancer patients. J. Surg. Oncol. 2016;114:354-360. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  18. Do shorter lengths of stay increase readmissions after total joint replacements?

    Directory of Open Access Journals (Sweden)

    Udai S. Sibia, MD, MBA

    2017-03-01

    Conclusions: Early discharge does not increase readmissions and may help attenuate costs associated with TJRs. Further refinement of protocols may allow for more patients to be safely discharged on postoperative day 1.

  19. Health care utilization, costs, and readmission rates associated with hyponatremia.

    Science.gov (United States)

    Deitelzweig, Steven; Amin, Alpesh; Christian, Rudell; Friend, Keith; Lin, Jay; Lowe, Timothy J

    2013-02-01

    Hyponatremia is associated with higher morbidity and mortality rates among hospitalized patients. Our study evaluated health care utilization and associated costs of patients hospitalized with a primary diagnosis of hyponatremia. Hospitalized patients with a primary discharge diagnosis of hyponatremia (aged ≥ 18 years) were identified from the Premier Perspective™ database (January 1, 2007-March 31, 2010) and matched to non-hyponatremic (non-HN) patients using a combination of exact patient characteristic matching and propensity score matching. Univariate and multivariate statistics were used to compare hospital resource usage, costs, and 30-day readmission rates between cohorts. Hospital length of stay (LOS) (± standard deviation) (3.78 ± 3.19 vs 3.54 ± 3.26 days; P ratio, 1.89, confidence limits, 1.72, 2.07; P ratio, 4.76; confidence limits, 4.31, 5.26; P profitability due to the increased likelihood of 30-day readmission.

  20. Rates, Causes, and Reduction of 30-Day Readmissions of Otolaryngology–Head and Neck Surgical Cases

    Directory of Open Access Journals (Sweden)

    Ali S. Al-Qahtani FKSU, FISQua

    2017-10-01

    Full Text Available Objectives The aim of this study was to determine risk factors associated with 30-day readmission for patients undergoing inpatient otolaryngologic head and neck surgery. Study Design Retrospective cohort study analysis. Setting Study at 2 tertiary hospitals. Methods A 10-year retrospective cohort analysis was performed for 30-day readmissions of otolaryngology surgical cases between July 1, 2006, and June 30, 2016, at Assir Central Hospital and Abha Private Hospital. Data included total number of patients, type of surgical procedure, number of and reasons for readmissions, and length of hospital stay. Results There were 32,662 discharges for otolaryngology operations over the 10-year period of the study, of which 364 patients were readmitted, giving a rate of 11.14 readmissions per 1000 operative procedures (95% CI, 10.1-12.3. The male:female ratio was 1.4:1. Period of postoperative stay ranged from 1 to 3 days and, after readmission, 2 to 5 days. The main reasons for readmission were bleeding in otolaryngologic cases and wound hematoma in head and neck surgical cases. Overall readmission rates dropped significantly from 12.72 per 1000 operative procedures in the first 5 years to 10.16 in the second 5 years. Conclusions This study helped to establish special policies and procedures to prevent readmission by utilizing best practices, including addressing quality care, using preadmission clinics, preventing surgical site infection, and improving communication with community physicians. Plans based on these results also include the development of national model for predicting readmission within 30 days of discharge.

  1. Hospital Readmission Following Discharge From Inpatient Rehabilitation for Older Adults With Debility

    Science.gov (United States)

    Karmarkar, Amol M.; Graham, James E.; Tan, Alai; Raji, Mukaila; Granger, Carl V.; Ottenbacher, Kenneth J.

    2016-01-01

    Background Debility accounts for 10% of inpatient rehabilitation cases among Medicare beneficiaries. Debility has the highest 30-day readmission rate among 6 impairment groups most commonly admitted to inpatient rehabilitation. Objective The purpose of this study was to examine rates, temporal distribution, and factors associated with hospital readmission for patients with debility up to 90 days following discharge from inpatient rehabilitation. Design A retrospective cohort study was conducted using records for 45,424 Medicare fee-for-service beneficiaries with debility discharged to community from 1,199 facilities during 2006–2009. Methods Cox proportional hazard regression models were used to estimate hazard ratios for readmission. Schoenfeld residuals were examined to identify covariate-time interactions. Factor-time interactions were included in the full model for Functional Independence Measure (FIM) discharge motor functional status, comorbidity tier, and chronic pulmonary disease. Most prevalent reasons for readmission were summarized by Medicare severity diagnosis related groups. Results Hospital readmission rates for patients with debility were 19% for 30 days and 34% for 90 days. The highest readmission count occurred on day 3 after discharge, and 56% of readmissions occurred within 30 days. A higher FIM discharge motor rating was associated with lower hazard for readmissions prior to 60 days (30-day hazard ratio=0.987; 95% confidence interval=0.986, 0.989). Comorbidities with hazard ratios >1.0 included comorbidity tier and 11 Elixhauser conditions, 3 of which (heart failure, renal failure, and chronic pulmonary disease) were among the most prevalent reasons for readmission. Limitations Analysis of Medicare data permitted only use of variables reported for administrative purposes. Comorbidity data were analyzed only for inpatient diagnoses. Conclusions One-third of patients were readmitted to acute hospitals within 90 days following rehabilitation for

  2. Medicare's Hospital Readmissions Reduction Program in Surgery May Disproportionately Affect Minority-serving Hospitals.

    Science.gov (United States)

    Shih, Terry; Ryan, Andrew M; Gonzalez, Andrew A; Dimick, Justin B

    2015-06-01

    To project readmission penalties for hospitals performing cardiac surgery and examine how these penalties will affect minority-serving hospitals. The Hospital Readmissions Reduction Program will potentially expand penalties for higher-than-predicted readmission rates to cardiac procedures in the near future. The impact of these penalties on minority-serving hospitals is unknown. We examined national Medicare beneficiaries undergoing coronary artery bypass grafting in 2008 to 2010 (N = 255,250 patients, 1186 hospitals). Using hierarchical logistic regression, we calculated hospital observed-to-expected readmission ratios. Hospital penalties were projected according to the Hospital Readmissions Reduction Program formula using only coronary artery bypass grafting readmissions with a 3% maximum penalty of total Medicare revenue. Hospitals were classified into quintiles according to proportion of black patients treated. Minority-serving hospitals were defined as hospitals in the top quintile whereas non-minority-serving hospitals were those in the bottom quintile. Projected readmission penalties were compared across quintiles. Forty-seven percent of hospitals (559 of 1186) were projected to be assessed a penalty. Twenty-eight percent of hospitals (330 of 1186) would be penalized less than 1% of total Medicare revenue whereas 5% of hospitals (55 of 1186) would receive the maximum 3% penalty. Minority-serving hospitals were almost twice as likely to be penalized than non-minority-serving hospitals (61% vs 32%) and were projected almost triple the reductions in reimbursement ($112 million vs $41 million). Minority-serving hospitals would disproportionately bear the burden of readmission penalties if expanded to include cardiac surgery. Given these hospitals' narrow profit margins, readmission penalties may have a profound impact on these hospitals' ability to care for disadvantaged patients.

  3. Fall Risk Score at the Time of Discharge Predicts Readmission Following Total Joint Arthroplasty.

    Science.gov (United States)

    Ravi, Bheeshma; Nan, Zhang; Schwartz, Adam J; Clarke, Henry D

    2017-07-01

    Readmission among Medicare recipients is a leading driver of healthcare expenditure. To date, most predictive tools are too coarse for direct clinical application. Our objective in this study is to determine if a pre-existing tool to identify patients at increased risk for inpatient falls, the Hendrich Fall Risk Score, could be used to accurately identify Medicare patients at increased risk for readmission following arthroplasty, regardless of whether the readmission was due to a fall. This study is a retrospective cohort study. We identified 2437 Medicare patients who underwent a primary elective total joint arthroplasty (TJA) of the hip or knee for osteoarthritis between 2011 and 2014. The Hendrich Fall Risk score was recorded for each patient preoperatively and postoperatively. Our main outcome measure was hospital readmission within 30 days of discharge. Of 2437 eligible TJA recipients, there were 226 (9.3%) patients who had a score ≥6. These patients were more likely to have an unplanned readmission (unadjusted odds ratio 2.84, 95% confidence interval 1.70-4.76, P 3 days (49.6% vs 36.6%, P = .0001), and were less likely to be sent home after discharge (20.8% vs 35.8%, P fall risk score after TJA is strongly associated with unplanned readmission. Application of this tool will allow hospitals to identify these patients and plan their discharge. Copyright © 2017 Elsevier Inc. All rights reserved.

  4. Thirty-Day Hospital Readmission After Restorative Proctocolectomy and Ileal Pouch Anal Anastomosis for Chronic Ulcerative Colitis at a High-Volume Center.

    Science.gov (United States)

    McKenna, Nicholas P; Mathis, Kellie L; Khasawneh, Mohammad; Shariq, Omair; Dozois, Eric J; Larson, David W; Lightner, Amy L

    2017-11-01

    Ileal pouch anal anastomosis (IPAA) is associated with a high 30-day hospital readmission rate. Risk factors and etiology of readmission remain poorly defined. We sought to determine the 30-day hospital readmission rate following IPAA at a high-volume center and identify any modifiable perioperative factors. A retrospective review of all patients undergoing two- or three-stage IPAA for chronic ulcerative colitis at our institution between 2002 and 2013 was performed. Analysis was performed on rate of readmission, readmission diagnosis, intervention performed upon readmission, and risk factors for readmission. Thirty-day primary and secondary readmission rates after IPAA were 20.3% (n = 185) and 2.1% (n = 19), respectively. The leading etiologies for readmission included partial small bowel obstruction/ileus (n = 52, 21.9%), pelvic sepsis (n = 43, 18.1%), dehydration (n = 42, 17.7%), and venous thromboembolism (n = 31, 13.1%). While the majority of readmissions were managed medically (n = 119, 65.4%), 19.2% (n = 35) required radiologic intervention and 15.3% (n = 28) required a return to the operating room. On univariate analysis, younger age (p = 0.03) and female sex (p = 0.04) had a significantly increased risk of readmission. On multivariable analysis, BMI ≥ 30 (OR 0.51; 95% CI, 0.25-0.97, p = 0.04) was protective of readmission. Thirty-day hospital readmission following IPAA remains a common problem. Preventable etiologies of readmission include dehydration and venous thromboembolism (VTE). Future quality improvement efforts should focus on education regarding stoma output and extended VTE prophylaxis to decrease hospital readmission rates following IPAA.

  5. Examining 30-day COPD readmissions through the emergency department

    Directory of Open Access Journals (Sweden)

    Rezaee ME

    2017-12-01

    Full Text Available Michael E Rezaee,1 Charlotte E Ward,2,3 Bonita Nuanez,1 Daniel A Rezaee,4 Jeffrey Ditkoff,1,5 Alexandra Halalau1,6 1Oakland University William Beaumont School of Medicine, Rochester, MI, 2Center for Healthcare Studies, Feinberg School of Medicine, Northwestern University, 3Center for Health Statistics, University of Chicago, Chicago, IL, 4Primary Care, Brigham and Women’s Hospital, Boston, MA, 5Emergency Medicine, 6Internal Medicine, Beaumont Health, Royal Oak, MI, USA Background: Thirty-day readmission in COPD is common and costly, but potentially preventable. The emergency department (ED may be a setting for COPD readmission reduction efforts.Objective: To better understand COPD readmission through the ED, ascertain factors associated with 30-day readmission through the ED, and identify subgroups of patients with COPD for readmission reduction interventions.Patients and methods: A retrospective cohort study was conducted from January 2009 to September 2015 in patients with COPD of age ≥18 years. Electronic health record data were abstracted for information available to admitting providers in the ED. The primary outcome was readmission through the ED within 30 days of discharge from an index admission for COPD. Logistic regression was used to examine the relationship between potential risk factors and 30-day readmission.Results: The study involved 1,574 patients who presented to the ED within 30 days on an index admission for COPD. Of these, 82.2% were readmitted through the ED. Charlson score (odds ratio [OR]: 3.6; 95% CI: 2.9–4.4, a chief complaint of breathing difficulty (OR: 1.6; 95% CI: 1.1–2.6, outpatient utilization of albuterol (OR: 4.1; 95% CI: 2.6–6.4, fluticasone/salmeterol (OR: 2.3; 95% CI: 1.3–4.2, inhaled steroids (OR: 3.8; 95% CI: 1.3–10.7, and tiotropium (OR: 1.8; 95% CI: 1.0–3.2, as well as arterial blood gas (OR: 4.4; 95% CI: 1.3–15.1 and B-type natriuretic peptide (OR: 2.2; 95% CI: 1.4–3.5 testing in the

  6. Readmission After Gynecologic Surgery: A Comparison of Procedures for Benign and Malignant Indications.

    Science.gov (United States)

    Cory, Lori; Latif, Nawar; Brensinger, Colleen; Zhang, Xiaochen; Giuntoli, Robert L; Burger, Robert A; Morgan, Mark; Ko, Emily

    2017-08-01

    To compare 30-day postsurgical readmission rates and associated risk factors for readmission among women undergoing gynecologic surgery for benign and malignant conditions. In a retrospective cohort study, we identified patients after surgery for benign and malignant gynecologic conditions in the National Surgical Quality Improvement Program database between January 1, 2011, and December 31, 2012. Data collected included surgical factors, perioperative characteristics, surgical complications, and 30-day readmissions. The primary study outcome was readmission rates after gynecologic surgery for benign and oncologic conditions. Secondary study outcomes were risk factors associated with readmission among gynecologic surgeries performed for benign and oncologic conditions. Approximately 3% (1,444/46,718) compared with 8.2% (623/7,641) of patients who underwent gynecologic surgery for benign and malignant indications, respectively, were readmitted (P<.01). Compared with patients with benign surgical indications, those with uterine cancer (readmission rate 6.6%; odds ratio [OR] 2.21, 95% CI 1.95-2.51), ovarian cancer (readmission rate 10.9%; OR 3.82, 95% CI 3.29-4.45), and cervical cancer (readmission rate 10.1%; OR 3.51, 95% CI 2.71-4.53) were more likely to be readmitted. In multivariable models, independent risk factors for readmission for gynecologic cancer surgery included worse preoperative conditions (OR 1.49, 95% CI 1.17-1.90) and major complications (OR 17.84, 95% CI 14.19-22.43). In comparison, independent risk factors for readmission after surgery for benign indications included comorbid conditions (OR 1.36, 95% CI 1.18-1.57), operative time (15-59 minutes: referent; 60 minutes or greater: 1.37, 95% CI 1.14-1.63) and major complications (OR 53.91, 95% CI 46.98-61.85). Among gynecologic surgeries, those performed for oncologic indications were associated with readmission rates 2.8 times that of surgeries performed for benign indications. In adjusted models

  7. 90-day Readmission After Lumbar Spinal Fusion Surgery in New York State Between 2005 and 2014: A 10-year Analysis of a Statewide Cohort.

    Science.gov (United States)

    Baaj, Ali A; Lang, Gernot; Hsu, Wei-Chun; Avila, Mauricio J; Mao, Jialin; Sedrakyan, Art

    2017-11-15

    MINI: We assessed 90-day readmission and evaluated risk factors associated with readmission after lumbar spinal fusion surgery in New York State. The overall 90-day readmission rate was 24.8%. Age, sex, race, insurance, procedure, number of operated spinal levels, health service area, and comorbidities are major risk factors for 90-day readmission. Retrospective cohort study. The aim of this study was to assess 90-day readmission and evaluate risk factors associated with readmission after lumbar fusion in New York State. Readmission is becoming an important metric for quality and efficiency of health care. Readmission and its predictors following spine surgery are overall poorly understood and limited evidence is available specifically in lumbar fusion. The New York Statewide Planning and Research Cooperative System (SPARCS) was utilized to capture patients undergoing lumbar fusion from 2005 to 2014. Temporal trend of 90-day readmission was assessed using Cochran-Armitage test. Logistic regression was used to examine predictors associated with 90-day readmission. There were 86,869 patients included in this cohort study. The overall 90-day readmission rate was 24.8%. On a multivariable analysis model, age (odds ratio [OR] comparing ≥75 versus New York-Pennsylvania border: 0.67, 95% CI: 0.61-0.73), and comorbidity, i.e., coronary artery disease (OR: 1.26, 95% CI: 1.19-1.33) were significantly associated with 90-day readmission. Directions of the odds ratios for these factors were consistent after stratification by procedure type. Age, sex, race, insurance, procedure, number of operated spinal levels, HSA, and comorbidities are major risk factors for 90-day readmission. Our study allows risk calculation to determine high-risk patients before undergoing spinal fusion surgery to prevent early readmission, improve quality of care, and reduce health care expenditures. 3.

  8. Acute Myocardial Infarction Readmission Risk Prediction Models: A Systematic Review of Model Performance.

    Science.gov (United States)

    Smith, Lauren N; Makam, Anil N; Darden, Douglas; Mayo, Helen; Das, Sandeep R; Halm, Ethan A; Nguyen, Oanh Kieu

    2018-01-01

    Hospitals are subject to federal financial penalties for excessive 30-day hospital readmissions for acute myocardial infarction (AMI). Prospectively identifying patients hospitalized with AMI at high risk for readmission could help prevent 30-day readmissions by enabling targeted interventions. However, the performance of AMI-specific readmission risk prediction models is unknown. We systematically searched the published literature through March 2017 for studies of risk prediction models for 30-day hospital readmission among adults with AMI. We identified 11 studies of 18 unique risk prediction models across diverse settings primarily in the United States, of which 16 models were specific to AMI. The median overall observed all-cause 30-day readmission rate across studies was 16.3% (range, 10.6%-21.0%). Six models were based on administrative data; 4 on electronic health record data; 3 on clinical hospital data; and 5 on cardiac registry data. Models included 7 to 37 predictors, of which demographics, comorbidities, and utilization metrics were the most frequently included domains. Most models, including the Centers for Medicare and Medicaid Services AMI administrative model, had modest discrimination (median C statistic, 0.65; range, 0.53-0.79). Of the 16 reported AMI-specific models, only 8 models were assessed in a validation cohort, limiting generalizability. Observed risk-stratified readmission rates ranged from 3.0% among the lowest-risk individuals to 43.0% among the highest-risk individuals, suggesting good risk stratification across all models. Current AMI-specific readmission risk prediction models have modest predictive ability and uncertain generalizability given methodological limitations. No existing models provide actionable information in real time to enable early identification and risk-stratification of patients with AMI before hospital discharge, a functionality needed to optimize the potential effectiveness of readmission reduction interventions

  9. Use of an ACE inhibitor or angiotensin receptor blocker is a major risk factor for dehydration requiring readmission in the setting of a new ileostomy.

    Science.gov (United States)

    Charak, Gregory; Kuritzkes, Benjamin A; Al-Mazrou, Ahmed; Suradkar, Kunal; Valizadeh, Neda; Lee-Kong, Steven A; Feingold, Daniel L; Pappou, Emmanouil P

    2018-03-01

    Diverting ileostomies help prevent major complications related to anastomoses after colorectal resection but can cause metabolic derangement and hypovolemia, leading to readmission. This paper aims to determine whether angiotensin-converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) use increased the risk of readmission, or readmission specifically for dehydration after new ileostomy creation. Retrospective analysis of patients undergoing diverting ileostomy at a tertiary-care hospital, 2009-2015. Primary outcome was 60-day readmission for dehydration; secondary outcomes included 60-day readmission for any cause, or for infection obstruction. Ninety-nine patients underwent diverting ileostomy creation, 59% with a primary diagnosis of colorectal cancer. The 60-day readmission rate was 36% (n = 36). Of readmitted patients, 39% (n = 14) were admitted for dehydration. Other readmission reasons were infection (33%) and obstruction (3%). The majority (64%, n = 9) of patients readmitted for dehydration were taking either an ACEi or an ARB. Compared to patients not readmitted for dehydration, those who were readmitted for dehydration were more likely to be on an ACEi or an ARB (11/85, 13% vs. 9/14, 64%). After controlling for covariates, ACEi or ARB use was significantly associated with risk of readmission (p readmission for dehydration. ACEi and ARB use is a significant risk factor for readmission for dehydration following diverting ileostomy creation. Consideration should be given to withholding these medications after ileostomy creation to reduce this risk.

  10. Readmission, mortality, and first-year medical costs after stroke

    Directory of Open Access Journals (Sweden)

    Hsuei-Chen Lee

    2013-12-01

    Conclusion: Half of the patients encountered readmission or death during the first year after stroke. Patients with advanced age, more complications, or comorbidities during initial stay tended to be highly vulnerable to AE occurrence, whereas TIA/unspecified stroke carried no less risk for AEs. FYMC or estimated cost per life saved for IS or TIA/unspecified was lower relative to SAH or ICH; however, their estimated cost per life-year saved became higher because of reduced life expectancy.

  11. Risk Factors for 30-Day Readmission in Adults with Sickle Cell Disease.

    Science.gov (United States)

    Brodsky, Max A; Rodeghier, Mark; Sanger, Maureen; Byrd, Jeannie; McClain, Brandi; Covert, Brittany; Roberts, Dionna O; Wilkerson, Karina; DeBaun, Michael R; Kassim, Adetola A

    2017-05-01

    Readmission to the hospital within 30 days is a measure of quality care; however, only few modifiable risk factors for 30-day readmission in adults with sickle cell disease are known. We performed a retrospective review of the medical records of adults with sickle cell disease at a tertiary care center, to identify potentially modifiable risk factors for 30-day readmission due to vasoocclusive pain episodes. A total of 88 patients ≥18 years of age were followed for 3.5 years between 2010 and 2013, for 158 first admissions for vasoocclusive pain episodes. Of these, those subsequently readmitted (cases) or not readmitted (controls) within 30 days of their index admissions were identified. Seven risk factors were included in a multivariable model to predict readmission: age, sex, hemoglobin phenotype, median oxygen saturation level, listing of primary care provider, type of health insurance, and number of hospitalized vasoocclusive pain episodes in the prior year. Mean age at admission was 31.7 (18-59) years; median time to readmission was 11 days (interquartile range 20 days). Absence of a primary care provider listed in the electronic medical record (odds ratio 0.38; 95% confidence interval, 0.16-0.91; P = .030) and the number of vasoocclusive pain episodes requiring hospitalization in the prior year were significant risk factors for 30-day readmission (odds ratio 1.30; 95% confidence interval, 1.16-1.44; P readmission rate in adults with sickle cell disease. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. Comparing 30-day all-cause readmission rates between tibiotalar fusion and total ankle replacement.

    Science.gov (United States)

    Merrill, Robert K; Ferrandino, Rocco M; Hoffman, Ryan; Ndu, Anthony; Shaffer, Gene W

    2018-01-12

    End-stage ankle arthritis is a debilitating condition that negatively impacts patient quality of life. Tibiotalar fusion and total ankle replacement are treatment options for managing ankle arthritis. Few studies have examined short term readmission rates of these two procedures. The objective of this study was compare all-cause 30-day readmission rates between patients undergoing tibiotalar fusion vs. total ankle replacement. This study queried the Nationwide Readmission Database (NRD) from 2013-2014 and used international classification of disease, 9th revision (ICD-9) procedure codes to identify all patients who underwent a tibiotalar fusion or a total ankle replacement. Comorbidities, insurance status, hospital characteristics, and readmission rates were statistically compared between the two cohorts. Risk factors were then identified for 30-day readmission. A total of 5660 patients were analyzed with 2667 in the tibiotalar fusion cohort and 2993 in the total ankle replacement cohort. Univariate analysis revealed that the readmission rate after tibiotalar fusion (4.4%) was statistically greater than after total ankle replacement (1.4%). Multivariable regression analysis indicated that deficiency anemia (OR 2.18), coagulopathy (OR 3.51), renal failure (OR 2.83), other insurance relative to private (OR 3.40), and tibiotalar fusion (OR 2.51) were all statistically significant independent risk factors for having a readmission within 30-days. These findings suggest that during the short-term period following discharge from the hospital, patients who received a tibiotalar fusion are more likely to experience a 30-day readmission. These findings are important for decision making when a surgeon encounters a patient with end stage ankle arthritis. Level III, cohort study. Published by Elsevier Ltd.

  13. Association of Electroconvulsive Therapy With Psychiatric Readmissions in US Hospitals.

    Science.gov (United States)

    Slade, Eric P; Jahn, Danielle R; Regenold, William T; Case, Brady G

    2017-08-01

    Although electroconvulsive therapy (ECT) is considered the most efficacious treatment available for individuals with severe affective disorders, ECT's availability is limited and declining, suggesting that information about the population-level effects of ECT is needed. To examine whether inpatient treatment with ECT is associated with a reduction in 30-day psychiatric readmission risk in a large, multistate sample of inpatients with severe affective disorders. A quasi-experimental instrumental variables probit model of the association correlation of ECT administration with patient risk of 30-day readmission was estimated using observational, longitudinal data on hospital inpatient discharges from US general hospitals in 9 states. From a population-based sample of 490 252 psychiatric inpatients, a sample was drawn that consisted of 162 691 individuals with a principal diagnosis of major depressive disorder (MDD), bipolar disorder, or schizoaffective disorder. The key instrumental variable used in the analysis was ECT prevalence in the prior calendar year at the treating hospital. To examine whether ECT's association with readmissions was heterogeneous across population subgroups, analyses included interactions of ECT with age group, sex, race/ethnicity, and diagnosis group. The study was conducted from August 27, 2015, to March 7, 2017. Readmission within 30 days of being discharged. Overall, 2486 of the 162 691 inpatients (1.5%) underwent ECT during their index admission. Compared with other inpatients, those who received ECT were older (mean [SD], 56.8 [16.5] vs 45.9 [16.5] years; P Electroconvulsive therapy may be associated with reduced short-term psychiatric inpatient readmissions among psychiatric inpatients with severe affective disorders. This potential population health effect may be overlooked in US hospitals' current decision making regarding the availability of ECT.

  14. A longitudinal analysis of the impact of hospital service line profitability on the likelihood of readmission.

    Science.gov (United States)

    Navathe, Amol S; Volpp, Kevin G; Konetzka, R Tamara; Press, Matthew J; Zhu, Jingsan; Chen, Wei; Lindrooth, Richard C

    2012-08-01

    Quality of care may be linked to the profitability of admissions in addition to level of reimbursement. Prior policy reforms reduced payments that differentially affected the average profitability of various admission types. The authors estimated a Cox competing risks model, controlling for the simultaneous risk of mortality post discharge, to determine whether the average profitability of hospital service lines to which a patient was admitted was associated with the likelihood of readmission within 30 days. The sample included 12,705,933 Medicare Fee for Service discharges from 2,438 general acute care hospitals during 1997, 2001, and 2005. There was no evidence of an association between changes in average service line profitability and changes in readmission risk, even when controlling for risk of mortality. These findings are reassuring in that the profitability of patients' admissions did not affect readmission rates, and together with other evidence may suggest that readmissions are not an unambiguous quality indicator for in-hospital care.

  15. Can we predict Acute Medical readmissions using the BOOST tool? A retrospective case note review.

    Science.gov (United States)

    Lee, Geraldine A; Freedman, Daniel; Beddoes, Penelope; Lyness, Emily; Nixon, Imogen; Srivastava, Vivek

    2016-01-01

    Readmissions within 30-days of hospital discharge are a problem. The aim was to determine if the Better Outcomes for Older Adults through Safe Transitions (BOOST) risk assessment tool was applicable within the UK. Patients over 65 readmitted were identified retrospectively via a casenote review. BOOST assessment was applied with 1 point for each risk factor. 324 patients were readmitted (mean age 77 years) with a median of 7 days between discharge and readmission. The median BOOST score was 3 (IQR 2-4) with polypharmacy evident in 88% and prior hospitalisation in 70%. The tool correctly predicted 90% of readmissions using two or more risk factors and 99.1% if one risk factor was included. The BOOST assessment tool appears appropriate in predicting readmissions however further analysis is required to determine its precision.

  16. Is the Readmission Rate a Valid Quality Indicator? A Review of the Evidence

    Science.gov (United States)

    Fischer, Claudia; Lingsma, Hester F.; Marang-van de Mheen, Perla J.; Kringos, Dionne S.; Klazinga, Niek S.; Steyerberg, Ewout W.

    2014-01-01

    Introduction Hospital readmission rates are increasingly used for both quality improvement and cost control. However, the validity of readmission rates as a measure of quality of hospital care is not evident. We aimed to give an overview of the different methodological aspects in the definition and measurement of readmission rates that need to be considered when interpreting readmission rates as a reflection of quality of care. Methods We conducted a systematic literature review, using the bibliographic databases Embase, Medline OvidSP, Web-of-Science, Cochrane central and PubMed for the period of January 2001 to May 2013. Results The search resulted in 102 included papers. We found that definition of the context in which readmissions are used as a quality indicator is crucial. This context includes the patient group and the specific aspects of care of which the quality is aimed to be assessed. Methodological flaws like unreliable data and insufficient case-mix correction may confound the comparison of readmission rates between hospitals. Another problem occurs when the basic distinction between planned and unplanned readmissions cannot be made. Finally, the multi-faceted nature of quality of care and the correlation between readmissions and other outcomes limit the indicator's validity. Conclusions Although readmission rates are a promising quality indicator, several methodological concerns identified in this study need to be addressed, especially when the indicator is intended for accountability or pay for performance. We recommend investing resources in accurate data registration, improved indicator description, and bundling outcome measures to provide a more complete picture of hospital care. PMID:25379675

  17. Is the readmission rate a valid quality indicator? A review of the evidence.

    Directory of Open Access Journals (Sweden)

    Claudia Fischer

    Full Text Available Hospital readmission rates are increasingly used for both quality improvement and cost control. However, the validity of readmission rates as a measure of quality of hospital care is not evident. We aimed to give an overview of the different methodological aspects in the definition and measurement of readmission rates that need to be considered when interpreting readmission rates as a reflection of quality of care.We conducted a systematic literature review, using the bibliographic databases Embase, Medline OvidSP, Web-of-Science, Cochrane central and PubMed for the period of January 2001 to May 2013.The search resulted in 102 included papers. We found that definition of the context in which readmissions are used as a quality indicator is crucial. This context includes the patient group and the specific aspects of care of which the quality is aimed to be assessed. Methodological flaws like unreliable data and insufficient case-mix correction may confound the comparison of readmission rates between hospitals. Another problem occurs when the basic distinction between planned and unplanned readmissions cannot be made. Finally, the multi-faceted nature of quality of care and the correlation between readmissions and other outcomes limit the indicator's validity.Although readmission rates are a promising quality indicator, several methodological concerns identified in this study need to be addressed, especially when the indicator is intended for accountability or pay for performance. We recommend investing resources in accurate data registration, improved indicator description, and bundling outcome measures to provide a more complete picture of hospital care.

  18. Reducing Hospital Readmissions Through Preferred Networks Of Skilled Nursing Facilities.

    Science.gov (United States)

    McHugh, John P; Foster, Andrew; Mor, Vincent; Shield, Renée R; Trivedi, Amal N; Wetle, Terrie; Zinn, Jacqueline S; Tyler, Denise A

    2017-09-01

    Establishing preferred provider networks of skilled nursing facilities (SNFs) is one approach hospital administrators are using to reduce excess thirty-day readmissions and avoid Medicare penalties or to reduce beneficiaries' costs as part of value-based payment models. However, hospitals are also required to provide patients at discharge with a list of Medicare-eligible providers and cannot explicitly restrict patient choice. This requirement complicates the development of a SNF network. Furthermore, there is little evidence about the effectiveness of network development in reducing readmission rates. We used a concurrent mixed-methods approach, combining Medicare claims data for the period 2009-13 with qualitative data gathered from interviews during site visits to hospitals in eight US markets in March-October 2015, to examine changes in rehospitalization rates and differences in practices between hospitals that did and did not develop formal SNF networks. Four hospitals had developed formal SNF networks as part of their care management efforts. These hospitals saw a relative reduction from 2009 to 2013 in readmission rates for patients discharged to SNFs that was 4.5 percentage points greater than the reduction for hospitals without formal networks. Interviews revealed that those with networks expanded existing relationships with SNFs, effectively managed patient data, and exercised a looser interpretation of patient choice. Project HOPE—The People-to-People Health Foundation, Inc.

  19. Incidence and Risk Factors for Prolonged Hospitalization and Readmission after Transsphenoidal Pituitary Surgery.

    Science.gov (United States)

    Bur, Andrés M; Brant, Jason A; Newman, Jason G; Hatten, Kyle M; Cannady, Steven B; Fischer, John P; Lee, John Y K; Adappa, Nithin D

    2016-10-01

    To evaluate the incidence and factors associated with 30-day readmission and to analyze risk factors for prolonged hospital length of stay following transsphenoidal pituitary surgery. Retrospective longitudinal claims analysis. American College of Surgeons National Surgical Quality Improvement Program. The database of the American College of Surgeons National Surgical Quality Improvement Program was queried for patients who underwent transsphenoidal pituitary surgery (Current Procedural Terminology code 61548 or 62165) between 2005 and 2014. Patient demographic information, indications for surgery, and incidence of hospital readmission and length of stay were reviewed. Risk factors for readmission and prolonged length of stay, defined as >75th percentile for the cohort, were identified through logistic regression modeling. A total of 1006 patients were included for analysis. Mean hospital length of stay after surgery was 4.1 ± 0.2 days. Predictors of prolonged length of stay were operative time (P surgery between 2012 and 2014, 7.2% (n = 38) required hospital readmission. History of congestive heart failure (CHF) was a predictor of hospital readmission (P = 0.03, OR = 12.7, 95% CI = 1.1-144.0). This review of a large validated surgical database demonstrates that CHF is an independent predictor of hospital readmission after transsphenoidal surgery. Although CHF is a known risk factor for postoperative complications, it poses unique challenges to patients with potential postoperative pituitary dysfunction. © American Academy of Otolaryngology—Head and Neck Surgery Foundation 2016.

  20. Functional impairment and hospital readmission in Medicare seniors.

    Science.gov (United States)

    Greysen, S Ryan; Stijacic Cenzer, Irena; Auerbach, Andrew D; Covinsky, Kenneth E

    2015-04-01

    Medicare currently penalizes hospitals for high readmission rates for seniors but does not account for common age-related syndromes, such as functional impairment. To assess the effects of functional impairment on Medicare hospital readmissions given the high prevalence of functional impairments in community-dwelling seniors. We created a nationally representative cohort of 7854 community-dwelling seniors in the Health and Retirement Study, with 22,289 Medicare hospitalizations from January 1, 2000, through December 31, 2010. Outcome was 30-day readmission assessed by Medicare claims. The main predictor was functional impairment determined from the Health and Retirement Study interview preceding hospitalization, stratified into the following 5 levels: no functional impairments, difficulty with 1 or more instrumental activities of daily living, difficulty with 1 or more activities of daily living (ADL), dependency (need for help) in 1 to 2 ADLs, and dependency in 3 or more ADLs. Adjustment variables included age, race/ethnicity, sex, annual income, net worth, comorbid conditions (Elixhauser score from Medicare claims), and prior admission. We performed multivariable logistic regression to adjust for clustering at the patient level to characterize the association of functional impairments and readmission. Patients had a mean (SD) age of 78.5 (7.7) years (range, 65-105 years); 58.4% were female, 84.9% were white, 89.6% reported 3 or more comorbidities, and 86.0% had 1 or more hospitalizations in the previous year. Overall, 48.3% had some level of functional impairment before admission, and 15.5% of hospitalizations were followed by readmission within 30 days. We found a progressive increase in the adjusted risk of readmission as the degree of functional impairment increased: 13.5% with no functional impairment, 14.3% with difficulty with 1 or more instrumental activities of daily living (odds ratio [OR], 1.06; 95% CI, 0.94-1.20), 14.4% with difficulty with 1 or more

  1. An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard.

    Science.gov (United States)

    Banerjee, Dipanjan; Thompson, Christine; Kell, Charlene; Shetty, Rajesh; Vetteth, Yohan; Grossman, Helene; DiBiase, Aria; Fowler, Michael

    2017-05-01

    Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort. We hypothesized that a comprehensive EMR-based approach utilizing an HF dashboard in addition to an established HF readmission reduction program would further reduce 30-day all-cause index hospital readmission rates for HF. After establishing a quality improvement program to reduce 30-day HF readmission rates, we instituted EMR-based measures designed to improve cohort identification, intervention tracking, and readmission analysis, the latter 2 supported by an electronic HF dashboard. Our primary outcome measure was the 30-day index hospital readmission rate for HF, with secondary measures including the accuracy of identification of patients with HF and the percentage of patients receiving interventions designed to reduce all-cause readmissions for HF. The HF dashboard facilitated improved penetration of our interventions and reduced readmission rates by allowing the clinical team to easily identify cohorts with high readmission rates and/or low intervention rates. We significantly reduced 30-day index hospital all-cause HF readmission rates from 18.2% at baseline to 14% after implementation of our quality improvement program ( P  = .045). Implementation of our EMR-based approach further significantly reduced 30-day index hospital readmission rates for HF to 10.1% ( P for trend = .0001). Daily time to screen patients decreased from 1 hour to 15 minutes, accuracy of cohort identification improved from 83% to 94.6% ( P  = .0001), and the percentage of patients receiving our interventions, such as patient education

  2. Hospital readmission after management of appendicitis at freestanding children's hospitals: contemporary trends and financial implications.

    Science.gov (United States)

    Rice-Townsend, Samuel; Hall, Matthew; Barnes, Jeff N; Baxter, Jessica K; Rangel, Shawn J

    2012-06-01

    The purpose of this study was to characterize epidemiologic trends and cost implications of hospital readmission after treatment of pediatric appendicitis. We conducted a 5-year retrospective cohort analysis of 30-day readmission rates for 52,054 patients admitted with appendicitis at 38 children's hospitals participating in the Pediatric Health Information System database. Patients were categorized as "uncomplicated" (postoperative length of stay [LOS] ≤ 2 days) or "complicated" (LOS ≥ 3 days and ≥ 4 consecutive days of antibiotics) and analyzed for demographic data, treatment received during the index admission, readmission rates, and excess LOS and hospital-related costs attributable to readmission encounters. The aggregate 30-day readmission rate was 8.7%, and this varied significantly by disease severity and management approach (uncomplicated appendectomy, 5.6%; complicated appendectomy, 12.8%; drainage, 22.6%; antibiotics only, 24.6%; P management approach (uncomplicated appendectomy, $1946 [31% relative increase]; complicated appendectomy, $6524 [53% increase]; drainage, $6827 [48% increase]; antibiotics only, $5835 [58% increase]; P < .0001). In freestanding children's hospitals, readmission after treatment of pediatric appendicitis is a relatively common and costly occurrence. Collaborative efforts are needed to characterize patient, treatment, and hospital-related risk factors as a basis for developing preventative strategies. Copyright © 2012 Elsevier Inc. All rights reserved.

  3. Readmission After Craniotomy for Tumor: A National Surgical Quality Improvement Program Analysis.

    Science.gov (United States)

    Dasenbrock, Hormuzdiyar H; Yan, Sandra C; Smith, Timothy R; Valdes, Pablo A; Gormley, William B; Claus, Elizabeth B; Dunn, Ian F

    2017-04-01

    Although readmission has become a common quality indicator, few national studies have examined this metric in patients undergoing cranial surgery. To utilize the prospective National Surgical Quality Improvement Program 2011-2013 registry to evaluate the predictors of unplanned 30-d readmission and postdischarge mortality after cranial tumor resection. Multivariable logistic regression was applied to screen predictors, which included patient age, sex, tumor location and histology, American Society of Anesthesiologists class, functional status, comorbidities, and complications from the index hospitalization. Of the 9565 patients included, 10.7% (n = 1026) had an unplanned readmission. Independent predictors of unplanned readmission were male sex, infratentorial location, American Society of Anesthesiologists class 3 designation, dependent functional status, a bleeding disorder, and morbid obesity (all P ≤ .03). Readmission was not associated with operative time, length of hospitalization, discharge disposition, or complications from the index admission. The most common reasons for readmission were surgical site infections (17.0%), infectious complications (11.0%), venous thromboembolism (10.0%), and seizures (9.4%). The 30-d mortality rate was 3.2% (n = 367), of which the majority (69.7%, n = 223) occurred postdischarge. Independent predictors of postdischarge mortality were greater age, metastatic histology, dependent functional status, hypertension, discharge to institutional care, and postdischarge neurological or cardiopulmonary complications (all P Readmissions were common after cranial tumor resection and often attributable to new postdischarge complications rather than exacerbations of complications from the initial hospitalization. Moreover, the majority of 30-d deaths occurred after discharge from the index hospitalization. The preponderance of postdischarge mortality and complications requiring readmission highlights the importance of posthospitalization

  4. Examining Readmissions through the Zone of Tolerance Theory.

    Science.gov (United States)

    Hackbarth, Gary; Fiedler, Kirk

    2017-01-01

    The relationship between readmissions and customer service expectations is examined through the lens of the Zone of Tolerance (ZoT) theory. ZoT theory is expanded to consider the potential conflicting expectations and nature of the payer and patent customer dichotomy of the healthcare industry. The paper will suggest opportunities to influence patient expectations and understanding. It will also present empirical methods for understanding and responding to payer service expectations.

  5. Correlation between early surgical complications and readmission rate after ventral hernia repair

    DEFF Research Database (Denmark)

    Kokotovic, D; Sjølander, H; Gögenur, I

    2017-01-01

    PURPOSE: Postoperative surgical complications arising from ventral hernia repair have been assessed by a variety of outcome measures. The objective of this study was to correlate the Clavien Dindo Classification (CDC) graded complications with the 30-day readmission rate as early outcome measures...... in ventral hernia repair. Secondarily, we wanted to investigate whether the risk factors for Clavien Dindo class ≥1 and 30-day readmission were comparable. METHODS: Single-centre retrospective study including all patients (≥18 years) who underwent ventral hernia repair between January 1, 2009 and September 1......). There was a significant association between a complication graded by the CDC ≥1 and 30-day readmission for both incisional and umbilical/epigastric hernia repair (p readmission. Recurrent...

  6. Predictors of 30- and 90-day readmission following craniotomy for malignant brain tumors: analysis of nationwide data.

    Science.gov (United States)

    Donoho, Daniel A; Wen, Timothy; Babadjouni, Robin M; Schwartzman, William; Buchanan, Ian A; Cen, Steven Y; Zada, Gabriel; Mack, William J; Attenello, Frank J

    2018-01-01

    Hospital readmissions are a major contributor to increased health care costs and are associated with worse patient outcomes after neurosurgery. We used the newly released Nationwide Readmissions Database (NRD) to describe the association between patient, hospital and payer factors with 30- and 90-day readmission following craniotomy for malignant brain tumor. All adult inpatients undergoing craniotomy for primary and secondary malignant brain tumors in the NRD from 2013 to 2014 were included. We identified all cause readmissions within 30- and 90-days following craniotomy for tumor, excluding scheduled chemotherapeutic procedures. We used univariate and multivariate models to identify patient, hospital and administrative factors associated with readmission. We identified 27,717 admissions for brain tumor craniotomy in 2013-2014, with 3343 (13.2%) 30-day and 5271 (25.7%) 90-day readmissions. In multivariate analysis, patients with Medicaid and Medicare were more likely to be readmitted at 30- and 90-days compared to privately insured patients. Patients with two or more comorbidities were more likely to be readmitted at 30- and 90-days, and patients discharged to skilled nursing facilities or home health care were associated with increased 90-day readmission rates. Finally, hospital procedural volume above the 75th percentile was associated with decreased 90-day readmission rates. Patients treated at high volume hospitals are less likely to be readmitted at 90-days. Insurance type, non-routine discharge and patient comorbidities are predictors of postoperative non-scheduled readmission. Further studies may elucidate potentially modifiable risk factors when attempting to improve outcomes and reduce cost associated with brain tumor surgery.

  7. Using Innovative Methodologies From Technology and Manufacturing Companies to Reduce Heart Failure Readmissions.

    Science.gov (United States)

    Johnson, Amber E; Winner, Laura; Simmons, Tanya; Eid, Shaker M; Hody, Robert; Sampedro, Angel; Augustine, Sharon; Sylvester, Carol; Parakh, Kapil

    2016-05-01

    Heart failure (HF) patients have high 30-day readmission rates with high costs and poor quality of life. This study investigated the impact of a framework blending Lean Sigma, design thinking, and Lean Startup on 30-day all-cause readmissions among HF patients. This was a prospective study in an academic hospital in Baltimore, Maryland. Thirty-day all-cause readmission was assessed using the hospital's electronic medical record. The baseline readmission rate for HF was 28.4% in 2010 with 690 discharges. The framework was developed and interventions implemented in the second half of 2011. The impact of the interventions was evaluated through 2012. The rate declined to 18.9% among 703 discharges (P < .01). There was no significant change for non-HF readmissions. This study concluded that methodologies from technology and manufacturing companies can reduce 30-day readmissions in HF, demonstrating the potential of this innovations framework to improve chronic disease care. © The Author(s) 2014.

  8. Health literacy and 30-day hospital readmission after acute myocardial infarction

    Science.gov (United States)

    Bailey, Stacy Cooper; Fang, Gang; Annis, Izabela E; O'Conor, Rachel; Paasche-Orlow, Michael K; Wolf, Michael S

    2015-01-01

    Objective To assess the validity of a predictive model of health literacy, and to examine the relationship between derived health literacy estimates and 30-day hospital readmissions for acute myocardial infarction (AMI). Design Retrospective cohort study. Setting and participants A National Institute of Aging (NIA) study cohort of 696 adult, English-speaking primary care patients, aged 55–74 years, was used to assess the validity of derived health literacy estimates. Claims from 7733 Medicare beneficiaries hospitalised for AMI in 2008 in North Carolina and Illinois were used to investigate the association between health literacy estimates and 30-day hospital readmissions. Measures The NIA cohort was administered 3 common health literacy assessments (Newest Vital Sign, Test of Functional Health Literacy in Adults, and Rapid Estimate of Adult Literacy in Medicine). Health literacy estimates at the census block group level were derived via a predictive model. 30-day readmissions were measured from Medicare claims data using a validated algorithm. Results Fair agreement was found between derived estimates and in-person literacy assessments (Pearson Correlation coefficients: 0.38–0.51; κ scores: 0.38–0.40). Medicare enrollees with above basic literacy according to derived health literacy estimates had an 18% lower risk of a 30-day readmission (RR=0.82, 95% CI 0.73 to 0.92) and 21% lower incidence rate of 30-day readmission (IRR=0.79, 95% CI 0.68 to 0.87) than patients with basic or below basic literacy. After adjusting for demographic and clinical characteristics, the risk of 30-day readmission was 12% lower (p=0.03), and the incidence rate 16% lower (pliteracy. Conclusions Health literacy, as measured by a predictive model, was found to be a significant, independent predictor of 30-day readmissions. As a modifiable risk factor with evidence-based solutions, health literacy should be considered in readmission reduction efforts. PMID:26068508

  9. Functional status predicts acute care readmission in the traumatic spinal cord injury population.

    Science.gov (United States)

    Huang, Donna; Slocum, Chloe; Silver, Julie K; Morgan, James W; Goldstein, Richard; Zafonte, Ross; Schneider, Jeffrey C

    2018-03-29

    Context/objective Acute care readmission has been identified as an important marker of healthcare quality. Most previous models assessing risk prediction of readmission incorporate variables for medical comorbidity. We hypothesized that functional status is a more robust predictor of readmission in the spinal cord injury population than medical comorbidities. Design Retrospective cross-sectional analysis. Setting Inpatient rehabilitation facilities, Uniform Data System for Medical Rehabilitation data from 2002 to 2012 Participants traumatic spinal cord injury patients. Outcome measures A logistic regression model for predicting acute care readmission based on demographic variables and functional status (Functional Model) was compared with models incorporating demographics, functional status, and medical comorbidities (Functional-Plus) or models including demographics and medical comorbidities (Demographic-Comorbidity). The primary outcomes were 3- and 30-day readmission, and the primary measure of model performance was the c-statistic. Results There were a total of 68,395 patients with 1,469 (2.15%) readmitted at 3 days and 7,081 (10.35%) readmitted at 30 days. The c-statistics for the Functional Model were 0.703 and 0.654 for 3 and 30 days. The Functional Model outperformed Demographic-Comorbidity models at 3 days (c-statistic difference: 0.066-0.096) and outperformed two of the three Demographic-Comorbidity models at 30 days (c-statistic difference: 0.029-0.056). The Functional-Plus models exhibited negligible improvements (0.002-0.010) in model performance compared to the Functional models. Conclusion Readmissions are used as a marker of hospital performance. Function-based readmission models in the spinal cord injury population outperform models incorporating medical comorbidities. Readmission risk models for this population would benefit from the inclusion of functional status.

  10. Performance-based functional impairment and readmission and death: a prospective study.

    Science.gov (United States)

    Aubert, Carole E; Folly, Antoine; Mancinetti, Marco; Hayoz, Daniel; Donzé, Jacques D

    2017-06-08

    Readmission and death are frequent after a hospitalisation and difficult to predict. While many predictors have been identified, few studies have focused on functional status. We assessed whether performance-based functional impairment at discharge is associated with readmission and death after an acute medical hospitalisation. We prospectively included patients aged ≥50 years admitted to the Department of General Internal Medicine of a large community hospital. Functional status was assessed shortly before discharge using the Timed Up and Go test performed twice in a standard way by trained physiotherapists and was defined as a test duration ≥15 s. Sensitivity analyses using a cut-off at >10 and >20 s were performed. The primary and secondary outcome measures were unplanned readmission and death, respectively, within 6 months after discharge. Within 6 months after discharge, 107/338 (31.7%) patients had an unplanned readmission and 31/338 (9.2%) died. Functional impairment was associated with higher risk of death (OR 2.44, 95% CI 1.15 to 5.18), but not with unplanned readmission (OR 1.34, 95% CI 0.84 to 2.15). No significant association was found between functional impairment and the total number of unplanned readmissions (adjusted OR 1.59, 95% CI 0.95 to 2.67). Functional impairment at discharge of an acute medical hospitalisation was associated with higher risk of death, but not of unplanned readmission within 6 months after discharge. Simple performance-based assessment may represent a better prognostic measure for mortality than for readmission. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  11. Medication regimen complexity and readmissions after hospitalization for heart failure, acute myocardial infarction, pneumonia, and chronic obstructive pulmonary disease

    Directory of Open Access Journals (Sweden)

    Nada Abou-Karam

    2016-02-01

    Full Text Available Objectives: Readmission rate is increasingly being viewed as a key indicator of health system performance. Medication regimen complexity index scores may be predictive of readmissions; however, few studies have examined this potential association. The primary objective of this study was to determine whether medication regimen complexity index is associated with all-cause 30-day readmission after admission for heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease. Methods: This study was an institutional review board–approved, multi-center, case–control study. Patients admitted with a primary diagnosis of heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease were randomly selected for inclusion. Patients were excluded if they discharged against medical advice or expired during their index visit. Block randomization was utilized for equal representation of index diagnosis and site. Discharge medication regimen complexity index scores were compared between subjects with readmission versus those without. Medication regimen complexity index score was then used as a predictor in logistic regression modeling for readmission. Results: Seven hundred and fifty-six patients were randomly selected for inclusion, and 101 (13.4% readmitted within 30 days. The readmission group had higher medication regimen complexity index scores than the no-readmission group (p < 0.01. However, after controlling for demographics, disease state, length of stay, site, and medication count, medication regimen complexity index was no longer a significant predictor of readmission (odds ratio 0.99, 95% confidence interval 0.97–1.01 or revisit (odds ratio 0.99, 95% confidence interval 0.98–1.02. Conclusion: There is little evidence to support the use of medication regimen complexity index in readmission prediction when other measures are available. Medication regimen complexity index

  12. Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital.

    Science.gov (United States)

    Maali, Yashar; Perez-Concha, Oscar; Coiera, Enrico; Roffe, David; Day, Richard O; Gallego, Blanca

    2018-01-04

    The identification of patients at high risk of unplanned readmission is an important component of discharge planning strategies aimed at preventing unwanted returns to hospital. The aim of this study was to investigate the factors associated with unplanned readmission in a Sydney hospital. We developed and compared validated readmission risk scores using routinely collected hospital data to predict 7-day, 30-day and 60-day all-cause unplanned readmission. A combination of gradient boosted tree algorithms for variable selection and logistic regression models was used to build and validate readmission risk scores using medical records from 62,235 live discharges from a metropolitan hospital in Sydney, Australia. The scores had good calibration and fair discriminative performance with c-statistic of 0.71 for 7-day and for 30-day readmission, and 0.74 for 60-day. Previous history of healthcare utilization, urgency of the index admission, old age, comorbidities related to cancer, psychosis, and drug-abuse, abnormal pathology results at discharge, and being unmarried and a public patient were found to be important predictors in all models. Unplanned readmissions beyond 7 days were more strongly associated with longer hospital stays and older patients with higher number of comorbidities and higher use of acute care in the past year. This study demonstrates similar predictors and performance to previous risk scores of 30-day unplanned readmission. Shorter-term readmissions may have different causal pathways than 30-day readmission, and may, therefore, require different screening tools and interventions. This study also re-iterates the need to include more informative data elements to ensure the appropriateness of these risk scores in clinical practice.

  13. Early Primary Care Provider Follow-up and Readmission After High-Risk Surgery

    Science.gov (United States)

    Brooke, Benjamin S.; Stone, David H.; Cronenwett, Jack L.; Nolan, Brian; DeMartino, Randall R.; MacKenzie, Todd A.; Goodman, David C.; Goodney, Philip P.

    2014-01-01

    IMPORTANCE Follow-up with a primary care provider (PCP) in addition to the surgical team is routinely recommended to patients discharged after major surgery despite no clear evidence that it improves outcomes. OBJECTIVE To test whether PCP follow-up is associated with lower 30-day readmission rates after open thoracic aortic aneurysm (TAA) repair and ventral hernia repair (VHR), surgical procedures known to have a high and low risk of readmission, respectively. DESIGN, SETTING, AND PARTICIPANTS In a cohort of Medicare beneficiaries discharged to home after open TAA repair (n = 12 679) and VHR (n = 52 807) between 2003 to 2010, we compared 30-day readmission rates between patients seen and not seen by a PCP within 30 days of discharge and across tertiles of regional primary care use. We stratified our analysis by the presence of complications during the surgical (index) admission. MAIN OUTCOMES AND MEASURES Thirty-day readmission rate. RESULTS Overall, 2619 patients (20.6%) undergoing open TAA repair and 4927 patients (9.3%) undergoing VHR were readmitted within 30 days after surgery. Complications occurred in 4649 patients (36.6%) undergoing open TAA repair and 4528 patients (8.6%) undergoing VHR during their surgical admission. Early follow-up with a PCP significantly reduced the risk of readmission among open TAA patients who experienced perioperative complications, from 35.0% (without follow-up) to 20.4% (with follow-up) (P < .001). However, PCP follow-up made no significant difference in patients whose hospital course was uncomplicated (19.4% with follow-up vs 21.9% without follow-up; P = .31). In comparison, early follow-up with a PCP after VHR did not reduce the risk of readmission, regardless of complications. In adjusted regional analyses, undergoing open TAA repair in regions with high compared with low primary care use was associated with an 18% lower likelihood of 30-day readmission (odds ratio, 0.82; 95% CI, 0.71–0.96; P = .02), whereas no significant

  14. Geographic Region and Profit Status Drive Variation in Hospital Readmission Outcomes Among Inpatient Rehabilitation Facilities in the United States.

    Science.gov (United States)

    Daras, Laura Coots; Ingber, Melvin J; Deutsch, Anne; Hefele, Jennifer Gaudet; Perloff, Jennifer

    2017-12-22

    To examine whether there are differences in inpatient rehabilitation facilities' (IRFs') all-cause 30-day postdischarge hospital readmission rates vary by organizational characteristics and geographic regions. Observational study. IRFs. Medicare fee-for-service beneficiaries discharged from all IRFs nationally in 2013 and 2014 (N = 1166 IRFs). Not applicable. We applied specifications for an existing quality measure adopted by Centers for Medicare & Medicaid Services for public reporting that assesses all-cause unplanned hospital readmission measure for 30 days postdischarge from inpatient rehabilitation. We estimated facility-level observed and risk-standardized readmission rates and then examined variation by several organizational characteristics (facility type, profit status, teaching status, proportion of low-income patients, size) and geographic factors (rural/urban, census division, state). IRFs' mean risk-standardized hospital readmission rate was 13.00%±0.77%. After controlling for organizational characteristics and practice patterns, we found substantial variation in IRFs' readmission rates: for-profit IRFs had significantly higher readmission rates than did not-for-profit IRFs (Preadmission rates than did IRFs in New England that had the lowest rates. Our findings point to variation in quality of care as measured by risk-standardized hospital readmission rates after IRF discharge. Thus, monitoring of readmission outcomes is important to encourage quality improvement in discharge care planning, care transitions, and follow-up. Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  15. Aetiology, timing and clinical predictors of early vs. late readmission following index hospitalization for acute heart failure: insights from ASCEND-HF.

    Science.gov (United States)

    Fudim, Marat; O'Connor, Christopher M; Dunning, Allison; Ambrosy, Andrew P; Armstrong, Paul W; Coles, Adrian; Ezekowitz, Justin A; Greene, Stephen J; Metra, Marco; Starling, Randall C; Voors, Adriaan A; Hernandez, Adrian F; Michael Felker, G; Mentz, Robert J

    2018-02-01

    Patients hospitalized for heart failure (HF) are at high risk for 30-day readmission. This study sought to examine the timings and causes of readmission within 30 days of an HF hospitalization. Timing and cause of readmission in the ASCEND-HF (Acute Study of Clinical Effectiveness of Nesiritide and Decompensated Heart Failure) trial were assessed. Early and late readmissions were defined as admissions occurring within 0-7 days and 8-30 days post-discharge, respectively. Patients who died in hospital or remained hospitalized at day 30 post-randomization were excluded. Patients were compared by timing and cause of readmission. Logistic and Cox proportional hazards regression analyses were used to identify independent risk factors for early vs. late readmission and associations with 180-day outcomes. Of the 6584 patients (92%) in the ASCEND-HF population included in this analysis, 751 patients (11%) were readmitted within 30 days for any cause. Overall, 54% of readmissions were for non-HF causes. The median time to rehospitalization was 11 days (interquartile range: 6-18 days) and 33% of rehospitalizations occurred by day 7. Rehospitalization within 30 days was independently associated with increased risk for 180-day all-cause death [hazard ratio (HR) 2.38, 95% confidence interval (CI) 1.93-2.94; P readmission (HR 0.99, 95% CI 0.67-1.45; P = 0.94). In this hospitalized HF trial population, a significant majority of 30-day readmissions were for non-HF causes and one-third of readmissions occurred in the first 7 days. Early and late readmissions within the 30-day timeframe were associated with similarly increased risk for death. Continued efforts to optimize multidisciplinary transitional care are warranted to improve rates of early readmission. © 2017 The Authors. European Journal of Heart Failure © 2017 European Society of Cardiology.

  16. Risk factors for 30-day reoperation and 3-month readmission: analysis from the Quality and Outcomes Database lumbar spine registry.

    Science.gov (United States)

    Wadhwa, Rishi K; Ohya, Junichi; Vogel, Todd D; Carreon, Leah Y; Asher, Anthony L; Knightly, John J; Shaffrey, Christopher I; Glassman, Steven D; Mummaneni, Praveen V

    2017-08-01

    OBJECTIVE The aim of this paper was to use a prospective, longitudinal, multicenter outcome registry of patients undergoing surgery for lumbar degenerative disease in order to assess the incidence and factors associated with 30-day reoperation and 90-day readmission. METHODS Prospectively collected data from 9853 patients from the Quality and Outcomes Database (QOD; formerly known as the N 2 QOD [National Neurosurgery Quality and Outcomes Database]) lumbar spine registry were retrospectively analyzed. Multivariate binomial regression analysis was performed to identify factors associated with 30-day reoperation and 90-day readmission after surgery for lumbar degenerative disease. A subgroup analysis of Medicare patients stratified by age (readmission rate was 6.3%. Multivariate analysis demonstrated that higher ASA class (OR 1.46 per class, 95% CI 1.25-1.70) and history of depression (OR 1.27, 95% CI 1.04-1.54) were factors associated with 90-day readmission. Medicare beneficiaries had a higher rate of 90-day readmissions compared with those who had private insurance (OR 1.43, 95% CI 1.17-1.76). Medicare patients readmission included higher ASA class and a history of depression. The 90-day readmission rates were higher for Medicare beneficiaries than for those who had private insurance. Medicare patients < 65 years of age were more likely to undergo reoperation within 30 days and to be readmitted within 90 days after their index surgery.

  17. Impact of warfarin discharge education program on hospital readmission and treatment costs.

    Science.gov (United States)

    Brunetti, Luigi; Lee, Seung-Mi; Doherty, Nancy; Suh, David; Kim, Jeong-Eun; Lee, Sun-Hong; Choi, Yong Chan; Suh, Dong-Churl

    2018-03-31

    Background Although warfarin is highly effective, management of patients prescribed warfarin is complex due to its narrow therapeutic window. Objective To evaluate the impact of a formal warfarin discharge education program (WDEP) on hospital readmission and treatment costs in patients who received warfarin therapy. Setting Robert Wood Johnson University Hospital Somerset in Somerville, New Jersey, USA. Method In this interventional cohort study, patients were assigned to either the WDEP group or the usual care group. The effects of the WDEP on readmission within 90 days after discharge were analyzed using Cox proportional hazards models. Factors influencing treatment cost were identified using generalized linear model with log-link function and gamma distribution. Main outcome measure Hospital readmission within 90 days and treatment costs associated with hospital readmission. Results Among 692 eligible patients, 203 in each group were matched using propensity scores and there were no statistically significant differences in the patient baseline characteristics between two groups. The risk of all-cause readmission within 90 days was significantly lower in the WDEP group compared to the usual care group (relative risk = 0.46, 95% CI 0.28-0.76). The treatment costs associated with hospital readmission in the WDEP group were 19% lower than those in the usual care group after adjusting for the study variables. Conclusion A formal, individualized WDEP provided by pharmacists resulted in significant reduction of readmission and treatment costs. The economic burden of treatment costs associated with warfarin can be controlled if well-organized warfarin education is provided to patients who received warfarin therapy.

  18. Medicare FFS 30 Day Readmission Rate PUF

    Data.gov (United States)

    U.S. Department of Health & Human Services — The hospital readmission rate PUF presents nation-wide information about inpatient hospital stays that occurred within 30 days of a previous inpatient hospital stay...

  19. Risk factors for readmission after neonatal cardiac surgery.

    Science.gov (United States)

    Mackie, Andrew S; Gauvreau, Kimberlee; Newburger, Jane W; Mayer, John E; Erickson, Lars C

    2004-12-01

    Repeat hospitalizations place a significant burden on health care resources. Factors predisposing infants to unplanned hospital readmission after congenital heart surgery are unknown. This is a single-center, case-control study. Cases were rehospitalized or died within 30 days of discharge following an arterial switch operation (ASO) or Norwood procedure (NP) between 1992 and 2002. Controls underwent an ASO or NP between 1992 and 2002, and were neither readmitted nor died within 30 days of discharge. Patients and controls were matched by gender, year of birth, and procedure. Potential risk factors examined included indices of medical status at the time of discharge, determinants of access to health care, and provider characteristics. Forty-eight patients were readmitted; 19 of 498 (3.8%) following an ASO and 29 of 254 (11.4%) after a NP (p NP. In multivariate analysis, predictors of readmission or death were: residual hemodynamic problem(s) (odds ratio [OR] 4.10 [1.18, 14.3], p = 0.026); an intensive care unit stay greater than 7 days (OR 5.17 [1.12, 23.9] p = 0.035) (ASO); residual hemodynamic problem(s) (OR 5.84 [1.98, 17.2], p = 0.001); and establishment of full oral intake less than 2 days before discharge (OR 5.83 [1.83, 18.6], p = 0.003) (NP). Combining both groups, living in a low income Zip Code (problem(s) predispose to hospital readmission after the ASO and NP. Low socioeconomic status may reduce the likelihood of readmission even when problems arise.

  20. Correlation between early surgical complications and readmission rate after ventral hernia repair.

    Science.gov (United States)

    Kokotovic, D; Sjølander, H; Gögenur, I; Helgstrand, F

    2017-08-01

    Postoperative surgical complications arising from ventral hernia repair have been assessed by a variety of outcome measures. The objective of this study was to correlate the Clavien Dindo Classification (CDC) graded complications with the 30-day readmission rate as early outcome measures in ventral hernia repair. Secondarily, we wanted to investigate whether the risk factors for Clavien Dindo class ≥1 and 30-day readmission were comparable. Single-centre retrospective study including all patients (≥18 years) who underwent ventral hernia repair between January 1, 2009 and September 1, 2014 at Zealand University Hospital. Data were obtained from hospital files and the Danish National Patient Registry. A 100% follow-up was obtained. In total, the study included 700 patients (261 patients with incisional hernia repair and 439 patients with umbilical or epigastric hernia repair). There was a significant association between a complication graded by the CDC ≥1 and 30-day readmission for both incisional and umbilical/epigastric hernia repair (p readmission. Recurrent (vs. primary) hernia repair was an independent risk factors for both CDC ≥1 and 30-day readmission in umbilical/epigastric hernia repair. Furthermore, hernia size 2-7 cm (vs. >2 cm) was a risk factor for CDC ≥1 but not for 30-day readmission in umbilical/epigastric hernia repair. Reports on 30-day readmission can be used as a general outcome measure in ventral hernia repair, however CDC provides a more precise and detailed registration of postoperative complications.

  1. [Psychiatric readmissions: individual and organizational factors].

    Science.gov (United States)

    Plancke, Laurent; Amariei, Alina; Flament, Clara; Dumesnil, Chloé

    2017-01-01

    Psychiatric readmission often constitutes a criterion to assess the effects of various therapies, as well as the impact of organizational changes in the healthcare system. It is used to characterize relapse or decompensation. The purpose of this study was to determine readmission rates and identify individual and organizational factors associated with significant variations in these rates. Adult psychiatric readmissions were identified from the full-time hospital stays registered in psychiatric wards in 2011-2012 in the Nord and Pas-de-Calais departments of France, available in the medical the RimP psychiatric admission database. Readmission rates for various follow-up periods after discharge were measured by Kaplan-Meier survival analysis and multivariate analysis was conducted using the Cox proportional hazards model. Approximately 30,000 adults were hospitalized full-time in psychiatric units of the region during the study period. The 24-month readmission rate was 51.6% (95%CI: 50.8-52.3%). The Cox model showed that a diagnosis of schizophrenia (F2 - HR = 1.72 - 95%CI: 1.61-1.84 - p Psychiatric readmission is a very frequent event and is linked to organizational as well as individual factors.

  2. The Medicare Hospital Readmissions Reduction Program: potential unintended consequences for hospitals serving vulnerable populations.

    Science.gov (United States)

    Gu, Qian; Koenig, Lane; Faerberg, Jennifer; Steinberg, Caroline Rossi; Vaz, Christopher; Wheatley, Mary P

    2014-06-01

    To explore the impact of the Hospital Readmissions Reduction Program (HRRP) on hospitals serving vulnerable populations. Medicare inpatient claims to calculate condition-specific readmission rates. Medicare cost reports and other sources to determine a hospital's share of duals, profit margin, and characteristics. Regression analyses and projections were used to estimate risk-adjusted readmission rates and financial penalties under the HRRP. Findings were compared across groups of hospitals, determined based on their share of duals, to assess differential impacts of the HRRP. Both patient dual-eligible status and a hospital's dual-eligible share of Medicare discharges have a positive impact on risk-adjusted hospital readmission rates. Under current Centers for Medicare and Medicaid Service methodology, which does not adjust for socioeconomic status, high-dual hospitals are more likely to have excess readmissions than low-dual hospitals. As a result, HRRP penalties will disproportionately fall on high-dual hospitals, which are more likely to have negative all-payer margins, raising concerns of unintended consequences of the program for vulnerable populations. Policies to reduce hospital readmissions must balance the need to ensure continued access to quality care for vulnerable populations. © Health Research and Educational Trust.

  3. The Frequent Fliers of New Mexico: Hospital Readmissions among the Homeless Population.

    Science.gov (United States)

    Dirmyer, Victoria F

    2016-07-01

    It is estimated that there are 1.7 million homeless individuals in the United States; 36% are families with children under the age of 18. Due to lack of resources, individuals who are homeless frequent emergency departments for immediate health care needs. The aim of this study was to examine a homeless population over a 3-year time period who were admitted to an Albuquerque area hospital at any time during the time period. A comparison of demographic characteristics as well as hospitalization characteristics between two populations was analyzed: individuals who were homeless and had a 30-day readmission compared to those that did not have a 30-day readmission. There were 850 unique homeless patients that were admitted to an Albuquerque area hospital during the 3-year time period. The mean age was 43.8 years with the majority of the population being male. The 3-year average 30-day readmission rate was 30.1%. Multivariate regression analysis indicated that homeless patients older than 19 years, individuals with more than 1 admission during the time period, and individuals who left against medical advice had increased odds of a 30-day readmission. Individuals who were homeless who were admitted for respiratory conditions or cardiovascular disease had decreased odds of a 30-day readmission compared to patients admitted for neuropsychiatric conditions. In New Mexico, patients who were homeless experienced a high 30-day readmission rate. These results suggest a need for further research into the healthcare needs of this population and how to improve discharge protocols to prevent future readmissions.

  4. Readmissions due to traffic accidents at a general hospital

    Directory of Open Access Journals (Sweden)

    Luciana Paiva

    2015-08-01

    Full Text Available AbstractObjective: to verify the occurrence and the causes of hospital readmissions within a year after discharge from hospitalizations due to traffic accidents.Methods: victims of multiple traumas due to traffic accidents were included, who were admitted to an Intensive Care Unit. Sociodemographic data, accident circumstances, body regions affected and cause of readmission were collected from the patient histories.Results: among the 109 victims of traffic accidents, the majority were young and adult men. Most hospitalizations due to accidents involved motorcycle drivers (56.9%. The causes of the return to the hospital were: need to continue the surgical treatment (63.2%, surgical site infection (26.3% and fall related to the physical sequelae of the trauma (10.5%. The rehospitalization rate corresponded to 174/1,000 people/year.Conclusion: the hospital readmission rate in the study population is similar to the rates found in other studies. Victims of severe limb traumas need multiple surgical procedures, lengthier hospitalizations and extended rehabilitation.

  5. Predicting 30-Day Pneumonia Readmissions Using Electronic Health Record Data.

    Science.gov (United States)

    Makam, Anil N; Nguyen, Oanh Kieu; Clark, Christopher; Zhang, Song; Xie, Bin; Weinreich, Mark; Mortensen, Eric M; Halm, Ethan A

    2017-04-01

    Readmissions after hospitalization for pneumonia are common, but the few risk-prediction models have poor to modest predictive ability. Data routinely collected in the electronic health record (EHR) may improve prediction. To develop pneumonia-specific readmission risk-prediction models using EHR data from the first day and from the entire hospital stay ("full stay"). Observational cohort study using stepwise-backward selection and cross-validation. Consecutive pneumonia hospitalizations from 6 diverse hospitals in north Texas from 2009-2010. All-cause nonelective 30-day readmissions, ascertained from 75 regional hospitals. Of 1463 patients, 13.6% were readmitted. The first-day pneumonia-specific model included sociodemographic factors, prior hospitalizations, thrombocytosis, and a modified pneumonia severity index; the full-stay model included disposition status, vital sign instabilities on discharge, and an updated pneumonia severity index calculated using values from the day of discharge as additional predictors. The full-stay pneumonia-specific model outperformed the first-day model (C statistic 0.731 vs 0.695; P = 0.02; net reclassification index = 0.08). Compared to a validated multi-condition readmission model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores, the full-stay pneumonia-specific model had better discrimination (C statistic range 0.604-0.681; P pneumonia. This approach outperforms a first-day pneumonia-specific model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores. Journal of Hospital Medicine 2017;12:209-216. © 2017 Society of Hospital Medicine

  6. “Can nurse work environment influence readmission risk?” – a systematic review

    Directory of Open Access Journals (Sweden)

    Ma C

    2014-07-01

    Full Text Available Chenjuan Ma,1 Jingjing Shang,2 Patricia W Stone3 1The National Database of Nursing Quality Indicators, University of Kansas Medical Center, Kansas City, KS, 2Columbia University School of Nursing, 3Center for Health Policy, Columbia University School of Nursing, New York, NY, USA Background: Readmissions have been targeted as events that can improve quality of care while reducing health care expenditures. While increasing evidence has linked nurse work environment to various patient outcomes, no systematic review has assessed evidence examining nurse work environment in relation to readmission. Methods: This review was guided by the Institute of Medicine's Standards for Systematic Reviews. Comprehensive searches were conducted in PubMed, CINAHL, and PsycINFO, and were complemented by hand searching. Two reviewers independently completed full-text review and quality assessment using a validated tool. Results: Ten studies met the inclusion criteria and were included for final review. Various methods were used to measure readmission and nurse work environment, and analyses were conducted at both the patient and hospital levels. Overall, associations between nurse work environment and readmission emerged, and better nurse work environments (particularly higher levels of nurse staffing were associated with fewer readmissions. Discussion: The interpretation of results from each study was limited by the differences in variable measures across studies and methodological flaws. The relationship between nurse work environment and readmission needs to be further confirmed by stronger evidence from studies using standardized measures and more rigorous research design. Keywords: nurse work environment, nurse staffing, readmission, nursing, patient outcome

  7. Predictors associated with unplanned hospital readmission of medical and surgical intensive care unit survivors within 30 days of discharge.

    Science.gov (United States)

    Ohnuma, Tetsu; Shinjo, Daisuke; Brookhart, Alan M; Fushimi, Kiyohide

    2018-01-01

    Reducing the 30-day unplanned hospital readmission rate is a goal for physicians and policymakers in order to improve quality of care. However, data on the readmission rate of critically ill patients in Japan and knowledge of the predictors associated with readmission are lacking. We investigated predictors associated with 30-day rehospitalization for medical and surgical adult patients separately. Patient data from 502 acute care hospitals with intensive care unit (ICU) facilities in Japan were retrospectively extracted from the Japanese Diagnosis Procedure Combination (DPC) database between April 2012 and February 2014. Factors associated with unplanned hospital readmission within 30 days of hospital discharge among medical and surgical ICU survivors were identified using multivariable logistic regression analysis. Of 486,651 ICU survivors, we identified 5583 unplanned hospital readmissions within 30 days of discharge following 147,423 medical hospitalizations (3.8% readmitted) and 11,142 unplanned readmissions after 339,228 surgical hospitalizations (3.3% readmitted). The majority of unplanned hospital readmissions, 60.9% of medical and 63.1% of surgical case readmissions, occurred within 15 days of discharge. For both medical and surgical patients, the Charlson comorbidity index score; category of primary diagnosis during the index admission (respiratory, gastrointestinal, and metabolic and renal); hospital length of stay; discharge to skilled nursing facilities; and having received a packed red blood cell transfusion, low-dose steroids, or renal replacement therapy were significantly associated with higher unplanned hospital readmission rates. From patient data extracted from a large Japanese national database, the 30-day unplanned hospital readmission rate after ICU stay was 3.4%. Further studies are required to improve readmission prediction models and to develop targeted interventions for high-risk patients.

  8. Unplanned emergency department consultations and readmissions within 30 and 90 days of bariatric surgery.

    Science.gov (United States)

    Iskra, María P; Ramón, José M; Martínez-Serrano, Andrés; Serra, Carmen; Goday, Albert; Trillo, Lourdes; Lanzarini, Enrique; Pera, Manuel; Grande, Luis

    2018-04-01

    Hospital readmission is used as a measure of quality healthcare. The aim of this study was to determine the incidence, causes, and risk factors related to emergency consultations and readmissions within 30 and 90 days in patients undergoing laparoscopic gastric bypass and laparoscopic sleeve gastrectomy. Retrospective study of 429 patients operated on from January 2004 to July 2015 from a prospectively maintained database and electronic medical records. Demographic data, type of intervention, postoperative complications, length of hospital stay and records of emergency visits and readmissions were analyzed. Within the first 90 days postoperative, a total of 117 (27%) patients consulted the Emergency Department and 24 (6%) were readmitted. The most common reasons for emergency consultation were noninfectious problems related to the surgical wound (n=40, 34%) and abdominal pain (n=28, 24%), which was also the first cause of readmission (n=9, 37%). Postoperative complications, reintervention, associated surgery in the same operation and depression were risk factors for emergency consultation within the first 90 days of the postoperative period. Despite the high number of patients who visit the Emergency Department in the first 90 days of the postoperative period, few require readmission and none surgical reoperation. It is important to know the reasons for emergency consultation to establish preventive measures and improve the quality of care. Copyright © 2018 AEC. Publicado por Elsevier España, S.L.U. All rights reserved.

  9. Age trends in 30 day hospital readmissions: US national retrospective analysis

    Science.gov (United States)

    Berry, Jay G; Gay, James C; Joynt Maddox, Karen; Coleman, Eric A; Bucholz, Emily M; O’Neill, Margaret R; Blaine, Kevin; Hall, Matthew

    2018-01-01

    Abstract Objective To assess trends in and risk factors for readmission to hospital across the age continuum. Design Retrospective analysis. Setting and participants 31 729 762 index hospital admissions for all conditions in 2013 from the US Agency for Healthcare Research and Quality Nationwide Readmissions Database. Main outcome measure 30 day, all cause, unplanned hospital readmissions. Odds of readmission were compared by patients’ age in one year epochs with logistic regression, accounting for sex, payer, length of stay, discharge disposition, number of chronic conditions, reason for and severity of admission, and data clustering by hospital. The middle (45 years) of the age range (0-90+ years) was selected as the age reference group. Results The 30 day unplanned readmission rate following all US index admissions was 11.6% (n=3 678 018). Referenced by patients aged 45 years, the adjusted odds ratio for readmission increased between ages 16 and 20 years (from 0.70 (95% confidence interval 0.68 to 0.71) to 1.04 (1.02 to 1.06)), remained elevated between ages 21 and 44 years (range 1.02 (1.00 to 1.03) to 1.12 (1.10 to 1.14)), steadily decreased between ages 46 and 64 years (range 1.02 (1.00 to 1.04) to 0.91 (0.90 to 0.93)), and decreased abruptly at age 65 years (0.78 (0.77 to 0.79)), after which the odds remained relatively constant with advancing age. Across all ages, multiple chronic conditions were associated with the highest adjusted odds of readmission (for example, 3.67 (3.64 to 3.69) for six or more versus no chronic conditions). Among children, young adults, and middle aged adults, mental health was one of the most common reasons for index admissions that had high adjusted readmission rates (≥75th centile). Conclusions The likelihood of readmission was elevated for children transitioning to adulthood, children and younger adults with mental health disorders, and patients of all ages with multiple chronic conditions. Further attention to the

  10. Polypharmacy and potentially inappropriate medication use as the precipitating factor in readmissions to the hospital

    Directory of Open Access Journals (Sweden)

    Vishal Sehgal

    2013-01-01

    Full Text Available Background and Aim: Readmission to the hospital within 30 days of discharge from the hospital is a common occurrence. Congestive heart failure is the most common cause of readmissions in the hospital. We hypothesized that irrespective of the admission diagnosis polypharmacy and potentially inappropriate use of medications (PIM leads to readmissions within 30 days of discharge from the hospital. Materials and Methods: A retrospective study was carried out by reviewing the hospital records of 414 patients who were readmitted to the hospital within 30 days of discharge from the hospital between January 2008 and December 2009. The data was stratified to see which patients were on polypharmacy and/or on PIM. Polypharmacy was defined as use of more than 5 medications. PIM was defined as per the modified Beers criteria. Day 0 was defined as the day of discharge and day1 was defined as the day-after Admission to the hospital. Statistical analysis was carried out using a two-way analysis of variance (ANOVA on the data to see if polypharmacy and/or PIM was related to readmission within 30 days of discharge irrespective of admission diagnosis. Results: Polypharmacy was related to hospital readmission at day 1 and day 0, however inappropriate drug use was found to be not related at any day. Polypharmacy and PIM combined had a positive correlation to readmission only on days 1 and 0 and it was statistically significant. The use of minimal and appropriate use of drugs was statistically significant compared to polypharmacy and PIM use. Conclusions: Polypharmacy and PIM are under recognized cause of readmissions to the hospital.

  11. Readmission rates after a planned hospital stay of 2 versus 3 days in fast-track colonic surgery

    DEFF Research Database (Denmark)

    Andersen, Jens; Hjort-Jakobsen, Dorthe; Christiansen, P. S.

    2007-01-01

    BACKGROUND: Initial programmes of fast-track open colonic surgery with a planned 2-day postoperative hospital stay have had a high readmission rate (about 20 per cent). The aim of this large, consecutive series was to compare readmission rates after a fast-track open colonic surgery programme....... There was no difference in type and incidence of morbidity between the two periods. CONCLUSION: Readmission after fast-track open colonic resection was reduced by planning discharge 3 instead of 2 days after surgery, with the same discharge criteria. Copyright (c) 2007 British Journal of Surgery Society Ltd. Published...... from August 2004. All patients were examined 8 and 30 days after surgery. RESULTS: Readmission rates fell from 20.1 per cent in 408 patients with a planned 2-day hospital stay (period 1) to 11.3 per cent in 133 patients with a planned 3-day hospital stay (period 2) (P

  12. Readmission to the Intensive Care Unit: Incidence, Risk Factors, Resource Use, and Outcomes. A Retrospective Cohort Study.

    Science.gov (United States)

    Ponzoni, Carolina R; Corrêa, Thiago D; Filho, Roberto R; Serpa Neto, Ary; Assunção, Murillo S C; Pardini, Andreia; Schettino, Guilherme P P

    2017-08-01

    Readmission to the intensive care unit (ICU) is associated with poor clinical outcomes, increased length of ICU and hospital stay, and higher costs. Nevertheless, knowledge of epidemiology of ICU readmissions, risk factors, and attributable outcomes is restricted to developed countries. To determine the effect of ICU readmissions on in-hospital mortality, determine incidence of ICU readmissions, identify predictors of ICU readmissions and hospital mortality, and compare resource use and outcomes between readmitted and nonreadmitted patients in a developing country. This retrospective single-center cohort study was conducted in a 40-bed, open medical-surgical ICU of a private, tertiary care hospital in São Paulo, Brazil. The Local Ethics Committee at Hospital Israelita Albert Einstein approved the study protocol, and the need for informed consent was waived. All consecutive adult (≥18 yr) patients admitted to the ICU between June 1, 2013 and July 1, 2015 were enrolled in this study. Comparisons were made between patients readmitted and not readmitted to the ICU. Logistic regression analyses were performed to identify predictors of ICU readmissions and hospital mortality. Out of 5,779 patients admitted to the ICU, 576 (10%) were readmitted to the ICU during the same hospitalization. Compared with nonreadmitted patients, patients readmitted to the ICU were more often men (349 of 576 patients [60.6%] vs. 2,919 of 5,203 patients [56.1%]; P = 0.042), showed a higher (median [interquartile range]) severity of illness (Simplified Acute Physiology III score) at index ICU admission (50 [41-61] vs. 42 [32-54], respectively, for readmitted and nonreadmitted patients; P Simplified Acute Physiology III score (P < 0.001), ICU admission from the ward (odds ratio [OR], 1.907; 95% confidence interval [CI], 1.463-2.487; P < 0.001), vasopressors need during index ICU stay (OR, 1.391; 95% CI, 1.130-1.713; P = 0.002), and length of ICU stay (P = 0.001) were

  13. A propensity score analysis of the impact of surgical intervention on unexpected 30-day readmission following admission for subdural hematoma.

    Science.gov (United States)

    Franko, Lynze R; Sheehan, Kyle M; Roark, Christopher D; Joseph, Jacob R; Burke, James F; Rajajee, Venkatakrishna; Williamson, Craig A

    2017-12-22

    OBJECTIVE Subdural hematoma (SDH) is a common disease that is increasingly being managed nonoperatively. The all-cause readmission rate for SDH has not previously been described. This study seeks to describe the incidence of unexpected 30-day readmission in a cohort of patients admitted to an academic neurosurgical center. Additionally, the relationship between operative management, clinical outcome, and unexpected readmission is explored. METHODS This is an observational study of 200 consecutive adult patients with SDH admitted to the neurosurgical ICU of an academic medical center. Demographic information, clinical characteristics, and treatment strategies were compared between readmitted and nonreadmitted patients. Multivariable logistic regression, weighted by the inverse probability of receiving surgery using propensity scores, was used to evaluate the association between operative management and unexpected readmission. RESULTS Of 200 total patients, 18 (9%) died during hospitalization and were not included in the analysis. Overall, 48 patients (26%) were unexpectedly readmitted within 30 days. Sixteen patients (33.3%) underwent SDH evacuation during their readmission. Factors significantly associated with unexpected readmission were nonoperative management (72.9% vs 54.5%, p = 0.03) and female sex (50.0% vs 32.1%, p = 0.03). In logistic regression analysis weighted by the inverse probability of treatment and including likely confounders, surgical management was not associated with likelihood of a good outcome at hospital discharge, but was associated with significantly reduced odds of unexpected readmission (OR 0.19, 95% CI 0.08-0.49). CONCLUSIONS Over 25% of SDH patients admitted to an academic neurosurgical ICU were unexpectedly readmitted within 30 days. Nonoperative management does not affect outcome at hospital discharge but is significantly associated with readmission, even when accounting for the probability of treatment by propensity score weighted

  14. Fewer re-admissions and bed days following an intensive transitional post-discharge aftercare programme for a mixed diagnostic group of patients

    DEFF Research Database (Denmark)

    Nilsson, Maria; Mir, Shazia; Larsen, Jens Knud

    2014-01-01

    was used to compare the groups. RESULTS: The majority of patients in both groups suffered from affective disorders, followed by personality disorders and a small number of other psychiatric diagnoses. Service use in the TA group was lower than in the RC group with fewer bed days after 10 weeks (P = 0...... service use in the TA programme group is in line with day treatment programme research for patients with affective disorders.......BACKGROUND: The organization of aftercare is important for a successful outcome; still the optimal organization has not been fully explored. An intensive transitional post-discharge aftercare (TA) programme, for a mixed group of non-psychotic patients, was recently developed. Patients with non...

  15. Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Hospital Readmission Rates Following Hip and Knee Arthroplasty.

    Science.gov (United States)

    Martsolf, Grant R; Barrett, Marguerite L; Weiss, Audrey J; Kandrack, Ryan; Washington, Raynard; Steiner, Claudia A; Mehrotra, Ateev; SooHoo, Nelson F; Coffey, Rosanna

    2016-08-17

    Readmission rates following total hip arthroplasty (THA) and total knee arthroplasty (TKA) are increasingly used to measure hospital performance. Readmission rates that are not adjusted for race/ethnicity and socioeconomic status, patient risk factors beyond a hospital's control, may not accurately reflect a hospital's performance. In this study, we examined the extent to which risk-adjusting for race/ethnicity and socioeconomic status affected hospital performance in terms of readmission rates following THA and TKA. We calculated 2 sets of risk-adjusted readmission rates by (1) using the Centers for Medicare & Medicaid Services standard risk-adjustment algorithm that incorporates patient age, sex, comorbidities, and hospital effects and (2) adding race/ethnicity and socioeconomic status to the model. Using data from the Healthcare Cost and Utilization Project, 2011 State Inpatient Databases, we compared the relative performances of 1,194 hospitals across the 2 methods. Addition of race/ethnicity and socioeconomic status to the risk-adjustment algorithm resulted in (1) little or no change in the risk-adjusted readmission rates at nearly all hospitals; (2) no change in the designation of the readmission rate as better, worse, or not different from the population mean at >99% of the hospitals; and (3) no change in the excess readmission ratio at >97% of the hospitals. Inclusion of race/ethnicity and socioeconomic status in the risk-adjustment algorithm led to a relative-performance change in readmission rates following THA and TKA at socioeconomic status in risk-adjusted THA and TKA readmission rates used for hospital accountability, payment, and public reporting. Prognostic Level III. See instructions for Authors for a complete description of levels of evidence. Copyright © 2016 by The Journal of Bone and Joint Surgery, Incorporated.

  16. Medicare Readmission Rates Showed Meaningful Decline in 2012

    Data.gov (United States)

    U.S. Department of Health & Human Services — From 2007 through 2011, the national 30-day, all-cause, hospital readmission rate averaged 19 percent. During calendar year 2012, the readmission rate averaged 18.4...

  17. Healthcare Cost and Utilization Project Nationwide Readmissions Database (NRD)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Nationwide Readmissions Database (NRD) is a unique and powerful database designed to support various types of analyses of national readmission rates for all...

  18. Inappropriate use of payment weights to risk adjust readmission rates.

    Science.gov (United States)

    Fuller, Richard L; Goldfield, Norbert I; Averill, Richard F; Hughes, John S

    2012-01-01

    In this article, the authors demonstrate that the use of relative weights, as incorporated within the National Quality Forum-endorsed PacifiCare readmission measure, is inappropriate for risk adjusting rates of hospital readmission.

  19. Association of energy and protein intakes with length of stay, readmission and mortality in hospitalised patients with chronic obstructive pulmonary disease.

    Science.gov (United States)

    Ingadottir, Arora R; Beck, Anne M; Baldwin, Christine; Weekes, C Elizabeth; Geirsdottir, Olof G; Ramel, Alfons; Gislason, Thorarinn; Gunnarsdottir, Ingibjorg

    2018-03-01

    Low energy and protein intakes have been associated with an increased risk of malnutrition in outpatients with chronic obstructive pulmonary disease (COPD). We aimed to assess the energy and protein intakes of hospitalised COPD patients according to nutritional risk status and requirements, and the relative contribution from meals, snacks, drinks and oral nutritional supplements (ONS), and to examine whether either energy or protein intake predicts outcomes. Subjects were COPD patients (n 99) admitted to Landspitali University Hospital in 1 year (March 2015-March 2016). Patients were screened for nutritional risk using a validated screening tool, and energy and protein intake for 3 d, 1-5 d after admission to the hospital, was estimated using a validated plate diagram sheet. The percentage of patients reaching energy and protein intake ≥75 % of requirements was on average 59 and 37 %, respectively. Malnourished patients consumed less at mealtimes and more from ONS than lower-risk patients, resulting in no difference in total energy and protein intakes between groups. No clear associations between energy or protein intake and outcomes were found, although the association between energy intake, as percentage of requirement, and mortality at 12 months of follow-up was of borderline significance (OR 0·12; 95 % CI 0·01, 1·15; P=0·066). Energy and protein intakes during hospitalisation in the study population failed to meet requirements. Further studies are needed on how to increase energy and protein intakes during hospitalisation and after discharge and to assess whether higher intake in relation to requirement of hospitalised COPD patients results in better outcomes.

  20. Women undergoing aortic surgery are at higher risk for unplanned readmissions compared with men especially when discharged home.

    Science.gov (United States)

    Flink, Benjamin J; Long, Chandler A; Duwayri, Yazan; Brewster, Luke P; Veeraswamy, Ravi; Gallagher, Katherine; Arya, Shipra

    2016-06-01

    Women undergoing vascular surgery have higher morbidity and mortality. Our study explores gender-based differences in patient-centered outcomes such as readmission, length of stay (LOS), and discharge destination (home vs nonhome facility) in aortic aneurysm surgery. Patients were identified from the American College of Surgeons National Surgical Quality Improvement Project database (2011-2013) undergoing abdominal, thoracic, and thoracoabdominal aortic aneurysms (N = 17,763), who were discharged and survived their index hospitalization. The primary outcome was unplanned readmission, and secondary outcomes were discharge to a nonhome facility, LOS, and reasons for unplanned readmission. Univariate, multivariate, and stratified analyses based on gender and discharge destination were used. Overall, 1541 patients (8.7%) experienced an unplanned readmission, with a significantly higher risk in women vs men (10.8% vs 8%; P women compared with men persisted in multivariate analysis after controlling for covariates (odds ratio [OR], 1.21; 95% confidence interval [CI], 1.05-1.4). Similarly, the rate of discharge to a nonhome facility was nearly double in women compared with men (20.6% vs 10.7%; P women compared with men occurred in patients who were discharged home (OR, 1.2; 95% CI, 1.02-1.4) but not in those who were discharged to a nonhome facility (OR, 1.06; 95% CI, 0.8-1.4). Significant differences in LOS were seen in patients who were discharged home. No gender differences were found in reasons for readmission with the three most common reasons being thromboembolic events, wound infections, and pneumonia. Gender disparity exists in the risk of unplanned readmission among aortic aneurysm surgery patients. Women who were discharged home have a higher likelihood of unplanned readmission despite longer LOS than men. These data suggest that further study into the discharge planning processes, social factors, and use of rehabilitation services is needed for women

  1. Can Vertical Integration Reduce Hospital Readmissions? A Difference-in-Differences Approach.

    Science.gov (United States)

    Lopes, Sílvia; Fernandes, Óscar B; Marques, Ana Patrícia; Moita, Bruno; Sarmento, João; Santana, Rui

    2017-05-01

    Vertical integration is expected to improve communication and coordination between inpatient care and care after discharge. Despite being used across health systems worldwide, evidence about its impact on readmissions is sparse and contradictory. To assess the impact of vertical integration on hospital readmissions. Using difference-in-differences we compared readmissions before and after vertical integration in 6 Portuguese hospitals for years 2004-2013. A control group with 6 similar hospitals not integrated was utilized. Considered outcome was 30-day unplanned readmission. We used logistic regression at the admission level and accounted for patients' risk factors using claims data. Analyses for each hospital and selected conditions were also run. Our results suggest that readmissions decreased overall after vertical integration [odds ratio (OR)=0.900; 95% confidence interval (CI), 0.812-0.997]. Hospital analysis indicated that there was no impact for 2 hospitals (OR=0.960; 95% CI, 0.848-1.087 and OR=0.944; 95% CI, 0.857-1.038), and a positive effect in 4 hospitals (greatest effect: OR=0.811; 95% CI, 0.736-0.894). A positive evolution was observed for a limited number of conditions, with better results for diabetes with complications (OR=0.689; 95% CI, 0.525-0.904), but no impact regarding congestive heart failure (OR=1.067; 95% CI, 0.827-1.377). Merging acute and primary care providers was associated with reduced readmissions, even though improvements were not found for all institutions or condition-specific groups. There are still challenges to be addressed regarding the success of vertical integration in reducing 30-day hospital readmissions.

  2. Short-term mortality, readmission, and recurrence in treatment of acute diverticulitis with abscess formation

    DEFF Research Database (Denmark)

    Gregersen, Rasmus; Andresen, Kristoffer; Burcharth, Jakob

    2016-01-01

    PURPOSE: The aim of the study was to investigate short-term mortality, readmission, and recurrence in a national cohort of patients with Hinchey Ib-II diverticulitis. METHODS: The retrospective cohort-investigation was conducted using a database consisting of the entire Danish population (n = 6......, secondary outcomes were mortality, readmission, and recurrence within 30 days post-discharge. The study was reported using RECORD guidelines. RESULTS: A total of 3148 eligible patients were identified. The cohort had a mean age of 65.1 year, 25.6 % had previously been admitted with diverticulitis, and 48...... was associated with mortality with odds-ratio 1.49 (1.23-1.81) and readmission with odds-ratio 2.91 (1.24-6.80). CONCLUSION: Acute diverticulitis with abscess formation is a severe and life-threatening condition. Direct comparisons of treatment groups were not possible due to possible confounding by indication....

  3. Avascular Necrosis Is Associated With Increased Transfusions and Readmission Following Primary Total Hip Arthroplasty.

    Science.gov (United States)

    Lovecchio, Francis C; Manalo, John Paul; Demzik, Alysen; Sahota, Shawn; Beal, Matthew; Manning, David

    2017-05-01

    Avascular necrosis (AVN) may confer an increased risk of complications and readmission following total hip arthroplasty (THA). However, current risk-adjustment models do not account for AVN. A total of 1706 patients who underwent THA for AVN from 2011 to 2013 were selected from the American College of Surgeon's National Surgical Quality Improvement Program database and matched 1:1 to controls using a predetermined propensity score algorithm. Rates of 30-day medical and surgical complications, readmissions, and reoperations were compared between cohorts. Propensity-score logistic regression was used to determine independent associations between AVN and outcomes of interest. Patients with AVN had a higher rate of medical complications than those without AVN (20.3% vs 15.3%, respectively; PAvascular necrosis of the femoral head is an independent risk factor for transfusion up to 72 hours postoperatively and readmission up to 30 days following total hip replacement. [Orthopedics. 2017; 40(3):171-176.]. Copyright 2017, SLACK Incorporated.

  4. Unplanned return to operating room after endovascular repair of abdominal aortic aneurysm (EVAR) is associated with increased risk of hospital readmission.

    Science.gov (United States)

    Aziz, Faisal; Ferranti, Katelynn; Lehman, Erik B

    2018-04-01

    Objectives Hospital readmissions after surgical operations are considered serious events. Centers for Medicare and Medicaid (CMS) consider surgical readmissions as preventable and hold hospitals responsible for them. Endovascular abdominal aortic aneurysm (EVAR) has become the first line modality of treatment for suitable patients with abdominal aortic aneurysm (AAA). The purpose of this study is to retrospectively review the factors associated with hospital readmission after EVAR. Methods The 2013 EVAR targeted American College of Surgeons (ACS-NSQIP) database and generalized 2013 general and vascular surgery ACS-NSQIP participant use files were used for this study. Patient, diagnosis, and procedure characteristics of patients undergoing EVAR surgery were assessed. Multivariate logistic regression analysis was used to determine independent risk factors for hospital readmission within 30 days after surgery. Results A total of 2277 patients (81% males, 19% females) underwent EVAR operations in the year 2013. Indications for operations included: asymptomatic large diameter (79%), symptomatic (5.7%), rupture without hypotension (4.3%), and rupture with hypotension (2.8%). Among these patients, 178 (7.8%) were readmitted to the hospital within 30 days after surgery. About 53% of all readmissions were within two weeks after the discharge. Risk factors, associated with readmission included: body mass index (per 5-units, OR 1.23, CI 1.06-1.42, p readmission for patients with presence of all these seven factors was 99.9%. Conclusions Readmission after EVAR is a serious occurrence. Various factors predispose a patient at a high risk for readmission. Unplanned return to operating room after EVAR is associated with a 11-fold increase in hospital readmission.

  5. 5 CFR 362.207 - Withdrawal and readmission.

    Science.gov (United States)

    2010-01-01

    ... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Withdrawal and readmission. 362.207... PRESIDENTIAL MANAGEMENT FELLOWS PROGRAM Program Administration § 362.207 Withdrawal and readmission. (a...) An agency must notify OPM when a Fellow or Senior Fellow withdraws from the Program. (b) Readmission...

  6. 20 CFR 638.402 - Enrollment by readmission.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Enrollment by readmission. 638.402 Section... Placements in the Job Corps § 638.402 Enrollment by readmission. Procedures for screening and selection of applicants for readmission shall be issued by the Job Corps Director. ...

  7. Self-Selection for Readmission after Academic Dismissal: An Experiment.

    Science.gov (United States)

    Phipps, Ronald A.

    A new readmission policy at Salisbury State College for students who were academically dismissed is described, and data are presented on dismissals and readmissions from Fall 1974 through Fall 1976. Academically-dismissed students may be readmitted in time to enroll for the next semester provided they apply for readmission through the Office of…

  8. Utility of heart rate turbulence and T-Wave alternans to assess risk for Re-admission and cardiac death in hospitalized heart failure patients.

    Science.gov (United States)

    Yamada, Shinya; Yoshihisa, Akiomi; Sato, Yu; Sato, Takamasa; Kamioka, Masashi; Kaneshiro, Takashi; Oikawa, Masayoshi; Kobayashi, Atsushi; Suzuki, Hitoshi; Ishida, Takafumi; Takeishi, Yasuchika

    2018-05-18

    Heart failure (HF) patients have a higher risk of recurrent HF and cardiac death, and electrical remodeling is considered to be an important factor for HF progression. The present study aimed to validate the utility of electrocardiogram and Holter monitoring for the risk stratification of HF patients. Our study comprised 215 patients (144 males, mean age 62 years) who had been hospitalized due to acute decompensated HF. Electrocardiogram (QRS duration and QTc interval) and 24-hour Holter monitoring (heart rate variability, heart rate turbulence and T-wave alternans [TWA]) were performed in stable condition before discharge. The clinical characteristics and outcomes were then investigated. During a median follow-up period of 2.7 years, there were 83 (38.6%) cardiac events (re-hospitalization due to worsening HF [n = 51] or cardiac death [n = 32]). The patients with cardiac events had a lower turbulence slope (TS) and higher TWA compared to those without cardiac events (TS, 3.0±5.5 ms/RR vs. 5.3±5.6 ms/RR, P = 0.001; TWA, 66.1±19.6 μV vs. 54.7±15.1 μV, P < 0.001). Univariable analysis showed that TS, TWA, QRS duration, and QTc interval were associated with cardiac events (P = 0.004, P < 0.001, P = 0.037 and P = 0.024, respectively), while the multivariable analysis after the adjustment of multiple confounders showed that TS and TWA were independent predictive factors of cardiac events with a hazard ratio of 0.936 and 1.015 (95% confidence interval [CI]: 0.860-0.974, P = 0.006; and 95% CI: 1.003-1.027, p = 0.016), respectively. The measurement of TS and TWA is useful for assessing risk for re-hospitalization and cardiac death in HF patients. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

  9. Investigating Transitional Care to Decrease Post-pancreatectomy 30-Day Hospital Readmissions for Dehydration or Failure to Thrive.

    Science.gov (United States)

    Xourafas, Dimitrios; Ablorh, Akweley; Clancy, Thomas E; Swanson, Richard S; Ashley, Stanley W

    2016-06-01

    Current literature emphasizes post-operative complications as a leading cause of post-pancreatectomy readmissions. Transitional care factors associated with potentially preventable conditions such as dehydration and failure to thrive (FTT) may play a significant role in readmission after pancreatectomy and have not been studied. Thirty-one post-pancreatectomy patients, who were readmitted for dehydration or FTT between 2009 and 2014, were compared to 141 nonreadmitted patients. Medical record review and a questionnaire-based survey, specifically designed to assess transitional care, were used to identify predictors of readmissions for dehydration or FTT. Logistic regression models were used to evaluate outcomes. On multivariable analysis, the strongest predictors of readmission for dehydration and FTT were the patient's lower educational level (P = 0.0233), the absence of family during the delivery of discharge instructions (P = 0.0098), episodic intermittent nausea at discharge (P = 0.0019), uncertainty about quantity, quality, or frequency of fluid intake (P = 0.0137), and the inability or failure to adhere to the clinician's instructions in the outpatient setting (P = 0.0048). Transitional-care-related factors are found to be associated with post-pancreatectomy readmission for dehydration and FTT. Using these results to identify high-risk patients and implement focused preventive measures combining efficient communication and optimal inpatient and outpatient management could potentially decrease readmission rates.

  10. Has Health Care Reform Legislation Reduced the Economic Burden of Hospital Readmissions Following Primary Total Joint Arthroplasty?

    Science.gov (United States)

    Kurtz, Steven M; Lau, Edmund C; Ong, Kevin L; Adler, Edward M; Kolisek, Frank R; Manley, Michael T

    2017-11-01

    The purpose of this study was to determine whether the cost of readmissions after primary total hip and knee arthroplasty (THA and TKA) has decreased since the introduction of health care reform legislation and what patient, clinical, and hospital factors drive such costs. The 100% Medicare inpatient dataset was used to identify 1,654,602 primary THA and TKA procedures between 2010 and 2014. The per-patient cost of readmissions was evaluated in general linear models in which the year of surgery and patient, clinical, and hospital factors were treated as covariates in separate models for THA and TKA. The year-to-year risk of 90-day readmission was reduced by 2% and 4% (P total joint arthroplasty volume. The top 5 factors associated with the cost of 90-day TKA readmissions were (in rank order) the length of stay, hospital's teaching status, discharge disposition, patient's gender, and age. Although readmission rates declined slightly, the results of this study do not support the hypothesis that readmission costs have decreased since the introduction of health care reform legislation. Instead, we found that clinical and hospital factors were among the most important cost drivers. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. A news media analysis of the economic and reputational penalties of the hospital readmissions reduction program.

    Science.gov (United States)

    Winborn, Melissa S; Alencherril, Joyce; Pagán, José A

    2014-01-01

    Section 3025 of the Affordable Care Act (ACA) of 2010 established the Hospital Readmissions Reduction Program (HRRP), an initiative designed to penalize hospitals with excess 30-day readmissions. This study investigates whether readmission penalties under HRRP impose significant reputational effects on hospitals. Data extracted from 2012 to 2013 news stories suggest that the higher the actual penalty, the higher the perceived cost of the penalty, the more likely it is that hospitals will state they have no control over the low-income patients they serve or that they will describe themselves as safety net providers. The downside of being singled out as a low-quality hospital deserving a relatively high penalty seems to be larger than the upside of being singled out as a high-quality hospital facing a relatively low penalty. Although the financial burden of the penalties seems to be low, hospitals may be reacting to the fact that information about excess readmissions and readmission penalties is being released widely and is scrutinized by the news media and the general public. © The Author(s) 2014.

  12. Results of a Medicare Bundled Payments for Care Improvement Initiative for Chronic Obstructive Pulmonary Disease Readmissions.

    Science.gov (United States)

    Bhatt, Surya P; Wells, J Michael; Iyer, Anand S; Kirkpatrick, deNay P; Parekh, Trisha M; Leach, Lauren T; Anderson, Erica M; Sanders, J Greg; Nichols, Jessica K; Blackburn, Cindy C; Dransfield, Mark T

    2017-05-01

    Approximately 20% of Medicare beneficiaries hospitalized for acute exacerbations of chronic obstructive pulmonary disease (COPD) are readmitted within 30 days of discharge. In addition to implementing penalties for excess readmissions, the U.S. Centers for Medicare and Medicaid Services has developed Bundled Payments for Care Improvement (BPCI) initiatives to improve outcomes and control costs. To evaluate whether a comprehensive COPD multidisciplinary intervention focusing on inpatient, transitional, and outpatient care as part of our institution's BPCI participation would reduce 30-day all-cause readmission rates for COPD exacerbations and reduce overall costs. We performed a pre-postintervention study comparing all-cause readmissions and costs after index hospitalization for Medicare-only patients with acute exacerbation of COPD. The primary outcome was the difference in 30-day all-cause readmission rate compared with historical control subjects; secondary outcomes included the 90-day all-cause readmission rate and also health care costs compared with BPCI target prices. Seventy-eight consecutive Medicare patients were prospectively enrolled in the BPCI intervention in 2014 and compared with 109 patients in the historical group from 2012. Patients in BPCI were more likely to receive regular follow-up phone calls, pneumococcal and influenza vaccines, home health care, durable medical equipment, and pulmonary rehabilitation, and to attend pulmonary clinic. There was no difference in all-cause readmission rates at 30 days (BPCI, 12 events [15.4%] vs. non-BPCI, 19 events [17.4%]; P = 0.711), and 90 days (21 [26.9%] vs. 37 [33.9%]; P = 0.306). Compared with BPCI target prices, we incurred 4.3% lower 90-day costs before accounting for significant investment from the health system. A Medicare BPCI intervention did not reduce 30-day all-cause readmission rates or overall costs after hospitalization for acute exacerbation of COPD. Although additional studies

  13. Incidence, reasons, and risk factors for readmission after surgery for benign distal esophageal disease.

    Science.gov (United States)

    Poupore, Amy K; Stem, Miloslawa; Molena, Daniela; Lidor, Anne O

    2016-09-01

    Our aim was to ascertain the incidence of, reasons for, and risk factors associated with hospital readmission after an operation for benign distal esophageal disease. Using the American College of Surgeons National Surgical Quality Improvement Program database (2012-2014), patients with a primary diagnosis of gastroesophageal reflux disease, paraesophageal hiatal hernia, or achalasia who underwent fundoplication, paraesophageal hernia repair, or Heller myotomy were identified. The primary outcome was hospital readmission. Multivariable logistic regression analysis was used to identify risk factors associated with hospital readmission. Of the 14,478 patients included in this study, 801 (5.5%) were readmitted at a median of 11 days (interquartile range 6-17) postprocedure. Intolerance of oral intake (21.8%), respiratory complications (11.6%), abdominal pain (6.0%), and venous thromboembolic events (4.7%) were some of the most common reasons for readmission. Open operative approach (odds ratio 1.34, 95% confidence interval 1.05-1.71), chronic steroid use (odds ratio 1.48, 95% confidence interval 1.10-2.00), emergency admission (odds ratio 1.50, 95% confidence interval 1.01-2.21), and predischarge complication (odds ratio 1.91, 95% confidence interval 1.42-2.59) were associated most strongly with hospital readmission. Implementing standardized perioperative strategies, such as nutritional counseling, early ambulation, intensive pulmonary toilet, and deep vein thrombosis prophylaxis, may help decrease the number of preventable readmissions and enhance the overall quality of care in this patient population. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. Readmissions after Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia among Young and Middle-Aged Adults: A Retrospective Observational Cohort Study

    Science.gov (United States)

    Ranasinghe, Isuru; Wang, Yongfei; Dharmarajan, Kumar; Hsieh, Angela F.; Bernheim, Susannah M.; Krumholz, Harlan M.

    2014-01-01

    Background Patients aged ≥65 years are vulnerable to readmissions due to a transient period of generalized risk after hospitalization. However, whether young and middle-aged adults share a similar risk pattern is uncertain. We compared the rate, timing, and readmission diagnoses following hospitalization for heart failure (HF), acute myocardial infarction (AMI), and pneumonia among patients aged 18–64 years with patients aged ≥65 years. Methods and Findings We used an all-payer administrative dataset from California consisting of all hospitalizations for HF (n = 206,141), AMI (n = 107,256), and pneumonia (n = 199,620) from 2007–2009. The primary outcomes were unplanned 30-day readmission rate, timing of readmission, and readmission diagnoses. Our findings show that the readmission rate among patients aged 18–64 years exceeded the readmission rate in patients aged ≥65 years in the HF cohort (23.4% vs. 22.0%, preadmission risk in patients aged 18–64 years was similar to patients ≥65 years in the HF (HR 0.99; 95%CI 0.97–1.02) and pneumonia (HR 0.97; 95%CI 0.94–1.01) cohorts and was marginally lower in the AMI cohort (HR 0.92; 95%CI 0.87–0.96). For all cohorts, the timing of readmission was similar; readmission risks were highest between days 2 and 5 and declined thereafter across all age groups. Diagnoses other than the index admission diagnosis accounted for a substantial proportion of readmissions among age groups readmissions in the HF cohort and 37–45% of readmissions in the AMI cohort, while a non-pulmonary diagnosis represented 61–64% of patients in the pneumonia cohort. Conclusion When adjusted for differences in patient characteristics, young and middle-aged adults have 30-day readmission rates that are similar to elderly patients for HF, AMI, and pneumonia. A generalized risk after hospitalization is present regardless of age. Please see later in the article for the Editors' Summary PMID:25268126

  15. Risk Factors for 30-day Unplanned Readmission following Infrainguinal Endovascular Interventions

    Science.gov (United States)

    Bodewes, Thomas C.F.; Soden, Peter A.; Ultee, Klaas H.J.; Zettervall, Sara L.; Pothof, Alexander B.; Deery, Sarah E.; Moll, Frans L.; Schermerhorn, Marc L.

    2016-01-01

    Objective Unplanned hospital readmissions following surgical interventions are associated with adverse events and contribute to increasing healthcare costs. Despite numerous studies defining risk factors following lower extremity bypass surgery, evidence regarding readmission after endovascular interventions is limited. This study aims to identify predictors of 30-day unplanned readmission following infrainguinal endovascular interventions. Methods We identified all patients undergoing an infrainguinal endovascular intervention in the Targeted Vascular module of the American College of Surgeons National Surgical Quality Improvement Program between 2012 and 2014. Perioperative outcomes were stratified by symptom status (chronic limb-threatening ischemia [CLI] vs. claudication). Patients who died during index admission, and those who remained in the hospital after 30 days, were excluded. Indications for unplanned readmission related to the index procedure were evaluated. Multivariable logistic regression was used to identify preoperative and in-hospital (during index admission) risk factors of 30-day unplanned readmission. Results 4449 patients underwent infrainguinal endovascular intervention, of which 2802 (63%) had CLI (66% tissue loss) and 1647 (37%) had claudication. The unplanned readmission rates for CLI and claudication patients were 16% (N=447) and 6.5% (N=107), respectively. Mortality after index admission was higher for readmitted patients compared to those not readmitted (CLI: 3.4% vs. 0.7%, P readmissions were related to the index procedure. Among CLI patients, the most common indication for readmission related to the index procedure was wound- or infection-related (42%), while patients with claudication were mainly readmitted for recurrent symptoms of peripheral vascular disease (28%). In patients with CLI, predictors of unplanned readmission included diabetes (OR: 1.3, 95% CI: 1.01–1.6), congestive heart failure (1.6, 1.1–2.5), renal insufficiency

  16. Readmission rates after a planned hospital stay of 2 versus 3 days in fast-track colonic surgery

    DEFF Research Database (Denmark)

    Andersen, Jens; Hjort-Jakobsen, Dorthe; Christiansen, P. S.

    2007-01-01

    BACKGROUND: Initial programmes of fast-track open colonic surgery with a planned 2-day postoperative hospital stay have had a high readmission rate (about 20 per cent). The aim of this large, consecutive series was to compare readmission rates after a fast-track open colonic surgery programme...... from August 2004. All patients were examined 8 and 30 days after surgery. RESULTS: Readmission rates fell from 20.1 per cent in 408 patients with a planned 2-day hospital stay (period 1) to 11.3 per cent in 133 patients with a planned 3-day hospital stay (period 2) (P ... hospital stay was 2 and 3 days, median stay after readmission was 5 and 5.5 days, and median (mean) total stay was 3 (5.6) and 3 (5.7) days in periods 1 and 2 respectively. The readmission rate in period 2 was lower because there were fewer readmissions for short-term observation or social reasons...

  17. Analysis of readmission rates to the intensive care unit after implementation of a rapid response team in a University Hospital.

    Science.gov (United States)

    Bergamasco E Paula, R; Tanita, M T; Festti, J; Queiroz Cardoso, L T; Carvalho Grion, C M

    2017-10-01

    To compare readmission rates to the intensive care unit (ICU) before and after the implementation of a rapid response team (RRT), and to identify risk factors for readmission. A quasi-experimental before-after study was carried out. A University Hospital. All patients discharged from the ICU from January to December 2008 (control group) and from January 2010 to December 2012 (intervention group). Implementation of an RRT. The data included demographic parameters, diagnoses upon admission, ICU readmission, APACHE II, SOFA, and TISS 28 scores, and routine daily assessment by an RRT of patients discharged from the ICU. During the study interval, 380 patients were analyzed in the period prior to the implementation of the RRT and 1361 after implementation. There was a tendency toward decreased readmission rates one year after RRT implementation. The APACHE II score and SOFA score at ICU discharge were independent factors associated to readmission, as well as clinical referral to the ICU. The RRT intervention resulted in a sustained decrease in readmission rates one year after implementation of this service. The use of a specialized team in health institutions can be recommended for ICU survivors. Copyright © 2016 Elsevier España, S.L.U. y SEMICYUC. All rights reserved.

  18. Age-related differences in the rate and diagnosis of 30-day readmission after hospitalization for acute ischemic stroke.

    Science.gov (United States)

    Hirayama, Atsushi; Goto, Tadahiro; Faridi, Mohammad K; Camargo, Carlos A; Hasegawa, Kohei

    2018-01-01

    Background Little is known about the association between age and readmission within 30 days after hospitalization for acute ischemic stroke. Aim To examine the age-related differences in rate and principal reason of 30-day readmissions in patients hospitalized for acute ischemic stroke. Methods In this retrospective, population-based cohort study using State Inpatient Databases from eight US states, we identified all adults hospitalized for acute ischemic stroke. We grouped the patients into four age categories: readmission within 30 days of discharge from the index hospitalization for acute ischemic stroke and the principal diagnosis of 30-day readmission. Results We identified 620,788 hospitalizations for acute ischemic stroke. The overall 30-day readmission rate was 16.6% with an increase with advanced age. Compared to patients aged readmission rate was significantly higher in age 65-74 years (OR 1.19; 95% CI 1.16-1.21), in age 75-84 years (OR 1.29; 95% CI 1.27-1.31), and in ≥ 85 years (OR 1.24; 95% CI 1.22-1.27; all Preadmission rate association between men and women (P interaction  readmissions were assigned stroke-related conditions or rehabilitation care. Compared to younger adults, older adults were more likely to present with non-stroke-related conditions (46.1% in readmission rate after acute ischemic stroke. Compared with younger adults, older adults were more likely to be readmitted for non-stroke-related conditions.

  19. Applicability of the heart failure Readmission Risk score: A first European study.

    Science.gov (United States)

    Formiga, Francesc; Masip, Joan; Chivite, David; Corbella, Xavier

    2017-06-01

    The Readmission Risk score (RR score) has been considered useful to predict Medicare/Medicaid patients' likelihood of 30-day hospital readmission for heart failure (HF). To our knowledge, the accuracy of this prediction model has not been independently validated in other clinical circumstances in Europe. From July 2013 to December 2014, all patients who survived to a first admission due to decompensated HF at our tertiary care teaching hospital were retrospectively included in the study. The RR score was calculated in all patients to predict future 30 and 90-day unplanned all-cause readmissions. A total of 679 patients were included, of them, 52 patients (7.6%) were readmitted by any cause within 30days after discharge, and 98 (14.4%) within 90days. When compared, the average RR scores for patients readmitted was significantly higher to those who did not, either within 30days (22.7 vs. 20.1) or 90days (22.7 vs. 20.1) of discharge. The 30-day C-statistic was 0.649 (95% CI 0.574-0.723) and the 90-day 0.621 (95% CI 0.560-0.681). There was a significant increase in readmission percentages at 30 and 90days with respect to increasing quartiles of RR score. Our results only support a modest applicability of this predictive model in patients at 30 and 90days, after a first hospitalization for decompensated HF. Probably, the fact that our readmission rate in patients firstly admitted due to HF was very low, generated a bias in the study, discouraging the use of this score in the de novo HF patients. Copyright © 2017 Elsevier B.V. All rights reserved.

  20. Short Length of Stay After Elective Transfemoral Transcatheter Aortic Valve Replacement is Not Associated With Increased Early or Late Readmission Risk.

    Science.gov (United States)

    Sud, Maneesh; Qui, Feng; Austin, Peter C; Ko, Dennis T; Wood, David; Czarnecki, Andrew; Patel, Vaidehi; Lee, Douglas S; Wijeysundera, Harindra C

    2017-04-24

    Elderly patients undergoing transcatheter aortic valve replacement (TAVR) are at risk of hospital readmission postprocedure. It is not known whether the index hospital length of stay and, specifically, early discharge post-TAVR is associated with an increased risk of readmission. We hypothesized a nonlinear relationship whereby both short and long lengths of stay were associated with increased readmission risk. We performed a retrospective multicenter cohort analysis of patients undergoing elective transfemoral TAVR and surviving to discharge between January 2007 and March 2014. The exposure variable was hospital length of stay measured from the procedure date to the date of discharge and modeled as a continuous variable in a multivariable cause-specific Cox regression. Main outcome measures were 30-day and 1-year all-cause readmissions. The study population consisted of 709 patients with a median length of stay of 6 days (interquartile range, 4-8). At 30-days and 1-year, 13.5% and 44.0% of patients were readmitted, respectively. Although post-TAVR length of stay was not associated with 30-day all-cause readmissions ( P =0.925), there existed a significant association with 1-year readmission ( P =0.010) after adjustment for baseline clinical variables. The association between post-TAVR length of stay and 1-year readmission was linear ( P =0.549 for nonlinearity) with no evidence supporting an increased readmission risk for shorter length of stays. Among elderly survivors of elective transfemoral TAVR, a short postprocedural length of stay was not associated with an increased risk readmission within 30 days or 1 year. However, the risk of 1-year readmission increased with longer post-TAVR lengths of stay. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

  1. The Effect of Steroids on Complications, Readmission, and Reoperation After Posterior Lumbar Fusion.

    Science.gov (United States)

    Cloney, Michael B; Garcia, Roxanna M; Smith, Zachary A; Dahdaleh, Nader S

    2018-02-01

    The effects of chronic corticosteroid therapy on complications, readmission, and reoperation after posterior lumbar fusion (PLF) remain underinvestigated, and were examined to determine differences in outcomes. We analyzed patients undergoing PLF between 2006 and 2013 using the National Surgery Quality Improvement Program database (NSQIP). Patients taking steroids for a chronic condition were compared with those not taking steroids. Multivariable regression identified factors independently associated with complications, readmission, and reoperation. A risk score was calculated for predicting complications. A total of 8492 patients were identified, of whom 353 used steroids. The patients using steroids were older (mean age, 65.4 years vs. 61.0 years; P steroid group. On multivariable regression, steroids were independently associated with overall complications (odds ratio [OR], 1.38; P = 0.044) and infectious complications (OR, 1.65; P < 0.001), but not with medical complications, readmission, or reoperation. Patients with higher risk scores had higher complication rates. The use of corticosteroid therapy is associated with a moderately increased risk of overall complications, but no association was found with readmission or reoperation. Copyright © 2017. Published by Elsevier Inc.

  2. Relationship of Work Therapy to Psychiatric Length of Stay and Readmission

    Science.gov (United States)

    Barbee, Margaret S.; and others

    1969-01-01

    Results indicated that participants in an in-hospital work-therapy program, randomly selected patients in Fort Logan Mental Health Center, had longer stays in both intensive treatment and total hospitalization and had more readmissions to Fort Logan than nonparticipants. Reprints available from authors at Fort Logan Mental Health Center, Denver,…

  3. Risk factors for unplanned readmission within 30 days after pediatric neurosurgery: a nationwide analysis of 9799 procedures from the American College of Surgeons National Surgical Quality Improvement Program

    Science.gov (United States)

    Sherrod, Brandon A.; Johnston, James M.; Rocque, Brandon G.

    2017-01-01

    Objective Readmission rate is increasingly used as a quality outcome measure after surgery. The purpose of this study was to establish, using a national database, the baseline readmission rates and risk factors for readmission after pediatric neurosurgical procedures. Methods The American College of Surgeons National Surgical Quality Improvement Program–Pediatric database was queried for pediatric patients treated by a neurosurgeon from 2012 to 2013. Procedures were categorized by current procedural terminology code. Patient demographics, comorbidities, preoperative laboratory values, operative variables, and postoperative complications were analyzed via univariate and multivariate techniques to find associations with unplanned readmission within 30 days of the primary procedure. Results A total of 9799 cases met the inclusion criteria, 1098 (11.2%) of which had an unplanned readmission within 30 days. Readmission occurred 14.0 ± 7.7 days postoperatively (mean ± standard deviation). The 4 procedures with the highest unplanned readmission rates were CSF shunt revision (17.3%), repair of myelomeningocele > 5 cm in diameter (15.4%), CSF shunt creation (14.1%), and craniectomy for infratentorial tumor excision (13.9%). Spine (6.5%), craniotomy for craniosynostosis (2.1%), and skin lesion (1.0%) procedures had the lowest unplanned readmission rates. On multivariate regression analysis, the odds of readmission were greatest in patients experiencing postoperative surgical site infection (SSI; deep, organ/space, superficial SSI and wound disruption: OR > 12 and p readmission risk. Independent patient risk factors for unplanned readmission included Native American race (OR 2.363, p = 0.019), steroid use > 10 days (OR 1.411, p = 0.010), oxygen supplementation (OR 1.645, p = 0.010), nutritional support (OR 1.403, p = 0.009), seizure disorder (OR 1.250, p = 0.021), and longer operative time (per hour increase, OR 1.059, p = 0.014). Conclusions This study may aid in

  4. Predicting psychiatric readmission: sex-specific models to predict 30-day readmission following acute psychiatric hospitalization.

    Science.gov (United States)

    Barker, Lucy Church; Gruneir, Andrea; Fung, Kinwah; Herrmann, Nathan; Kurdyak, Paul; Lin, Elizabeth; Rochon, Paula A; Seitz, Dallas; Taylor, Valerie H; Vigod, Simone N

    2018-02-01

    Psychiatric readmission is a common negative outcome. Predictors of readmission may differ by sex. This study aimed to derive and internally validate sex-specific models to predict 30-day psychiatric readmission. We used population-level health administrative data to identify predictors of 30-day psychiatric readmission among women (n = 33,353) and men (n = 32,436) discharged from all psychiatric units in Ontario, Canada (2008-2011). Predictor variables included sociodemographics, health service utilization, and clinical characteristics. Using derivation data sets, multivariable logistic regression models were fit to determine optimal predictive models for each sex separately. Results were presented as adjusted odds ratios (aORs) and 95% confidence intervals (CI). The multivariable models were then applied in the internal validation data sets. The 30-day readmission rates were 9.3% (women) and 9.1% (men). Many predictors were consistent between women and men. For women only, personality disorder (aOR 1.21, 95% CI 1.03-1.42) and positive symptom score (aOR 1.41, 95% CI 1.09-1.82 for score of 1 vs. 0; aOR 1.44, 95% CI 1.26-1.64 for ≥ 2 vs. 0) increased odds of readmission. For men only, self-care problems at admission (aOR 1.20, 95% CI 1.06-1.36) and discharge (aOR 1.44, 95% CI 1.26-1.64 for score of 1 vs. 0; aOR 1.79, 95% CI 1.17-2.74 for 2 vs. 0), and mild anxiety rating (score of 1 vs. 0: aOR 1.30, 95% CI 1.02-1.64, derivation model only) increased odds of readmission. Models had moderate discriminative ability in derivation and internal validation samples for both sexes (c-statistics 0.64-0.65). Certain key predictors of psychiatric readmission differ by sex. This knowledge may help to reduce psychiatric hospital readmission rates by focusing interventions.

  5. Impact of a COPD discharge care bundle on readmissions following admission with acute exacerbation: interrupted time series analysis.

    Directory of Open Access Journals (Sweden)

    Anthony A Laverty

    Full Text Available We evaluated the impact of a COPD discharge care bundle on readmission rates following hospitalisation with an acute exacerbation.Interrupted time series analysis, comparing readmission rates for COPD exacerbations at nine trusts that introduced the bundle, to two comparison groups; (1 other NHS trusts in London and (2 all other NHS trusts in England. Care bundles were implemented at different times for different NHS trusts, ranging from October 2009 to April 2011.Nine NHS acute trusts in the London, England.Patients aged 45 years and older admitted to an NHS acute hospital in England for acute exacerbation of COPD. Data come from Hospital Episode Statistics, April 2002 to March 2012.Annual trend readmission rates (and in total bed days within 7, 28 and 90 days, before and after implementation.In hospitals introducing the bundle readmission rates were rising before implementation and falling afterwards (e.g. readmissions within 28 days +2.13% per annum (pa pre and -5.32% pa post (p for difference in trends = 0.012. Following implementation, readmission rates within 7 and 28 day were falling faster than among other trusts in London, although this was not statistically significant (e.g. readmissions within 28 days -4.6% pa vs. -3.2% pa, p = 0.44. Comparisons with a national control group were similar.The COPD discharge care bundle appeared to be associated with a reduction in readmission rate among hospitals using it. The significance of this is unclear because of changes to background trends in London and nationally.

  6. Comparison of 3 Types of Readmission Rates for Measuring Hospital and Surgeon Performance After Primary Total Hip and Knee Arthroplasty.

    Science.gov (United States)

    Bottle, Alex; Loeffler, Mark D; Aylin, Paul; Ali, Adam M

    2018-02-26

    All-cause 30-day hospital readmission is in widespread use for monitoring and incentivizing hospital performance for patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA). However, little is known on the extent to which all-cause readmission is influenced by hospital or surgeon performance and whether alternative measures may be more valid. This is an observational study using multilevel modeling on English administrative data to determine the interhospital and intersurgeon variation for 3 readmission metrics: all-cause, surgical, and return-to-theater. Power calculations estimated the likelihood of identifying whether the readmission rate for a surgeon or hospital differed from the national average by a factor of 1.25, 1.5, 2, or 3 times, for both average and high-volume providers. 259,980 THAs and 311,033 TKAs were analyzed. Variations by both surgeons and hospitals were smaller for the all-cause measure than for the surgical or return-to-theater metrics, although statistical power to detect differences was higher. Statistical power to detect surgeon-level rates of 1.25 or 1.5 times the average was consistently low. However, at the hospital level, the surgical readmission measure showed more variation by hospital while maintaining excellent power to detect differences in rates between hospitals performing the average number of THA or TKA cases per year in England. In practice, more outliers than expected from purely random variation were found for all-cause and surgical readmissions, especially at hospital level. The 30-day surgical readmission rate should be considered as an adjunctive measure to 30-day all-cause readmission rate when assessing hospital performance. Copyright © 2018 Elsevier Inc. All rights reserved.

  7. Trajectories of Risk for Specific Readmission Diagnoses after Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia.

    Science.gov (United States)

    Krumholz, Harlan M; Hsieh, Angela; Dreyer, Rachel P; Welsh, John; Desai, Nihar R; Dharmarajan, Kumar

    2016-01-01

    The risk of rehospitalization is elevated in the immediate post-discharge period and declines over time. It is not known if the extent and timing of risk vary across readmission diagnoses, suggesting that recovery and vulnerability after discharge differ by physiologic system. We compared risk trajectories for major readmission diagnoses in the year after discharge among all Medicare fee-for-service beneficiaries hospitalized with heart failure (HF), acute myocardial infarction (AMI), or pneumonia from 2008-2010. We estimated the daily risk of rehospitalization for 12 major readmission diagnostic categories after accounting for the competing risk of death after discharge. For each diagnostic category, we identified (1) the time required for readmission risk to peak and then decline 50% from maximum values after discharge; (2) the time required for readmission risk to approach plateau periods of minimal day-to-day change; and (3) the extent to which hospitalization risks are higher among patients recently discharged from the hospital compared with the general elderly population. Among >3,000,000 hospitalizations, the yearly rate of rehospitalization was 67.0%, 49.5%, and 55.3% after hospitalization for HF, AMI, and pneumonia, respectively. The extent and timing of risk varied by readmission diagnosis and initial admitting condition. Risk of readmission for gastrointestinal bleeding/anemia peaked particularly late after hospital discharge, occurring 10, 6, and 7 days after hospitalization for HF, AMI, and pneumonia, respectively. Risk of readmission for trauma/injury declined particularly slowly, requiring 38, 20, and 38 days to decline by 50% after hospitalization for HF, AMI, and pneumonia, respectively. Patterns of vulnerability to different conditions that cause rehospitalization vary by time after hospital discharge. This finding suggests that recovery of various physiologic systems occurs at different rates and that post-discharge interventions to minimize

  8. Trajectories of Risk for Specific Readmission Diagnoses after Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia.

    Directory of Open Access Journals (Sweden)

    Harlan M Krumholz

    Full Text Available The risk of rehospitalization is elevated in the immediate post-discharge period and declines over time. It is not known if the extent and timing of risk vary across readmission diagnoses, suggesting that recovery and vulnerability after discharge differ by physiologic system.We compared risk trajectories for major readmission diagnoses in the year after discharge among all Medicare fee-for-service beneficiaries hospitalized with heart failure (HF, acute myocardial infarction (AMI, or pneumonia from 2008-2010.We estimated the daily risk of rehospitalization for 12 major readmission diagnostic categories after accounting for the competing risk of death after discharge. For each diagnostic category, we identified (1 the time required for readmission risk to peak and then decline 50% from maximum values after discharge; (2 the time required for readmission risk to approach plateau periods of minimal day-to-day change; and (3 the extent to which hospitalization risks are higher among patients recently discharged from the hospital compared with the general elderly population.Among >3,000,000 hospitalizations, the yearly rate of rehospitalization was 67.0%, 49.5%, and 55.3% after hospitalization for HF, AMI, and pneumonia, respectively. The extent and timing of risk varied by readmission diagnosis and initial admitting condition. Risk of readmission for gastrointestinal bleeding/anemia peaked particularly late after hospital discharge, occurring 10, 6, and 7 days after hospitalization for HF, AMI, and pneumonia, respectively. Risk of readmission for trauma/injury declined particularly slowly, requiring 38, 20, and 38 days to decline by 50% after hospitalization for HF, AMI, and pneumonia, respectively.Patterns of vulnerability to different conditions that cause rehospitalization vary by time after hospital discharge. This finding suggests that recovery of various physiologic systems occurs at different rates and that post-discharge interventions to

  9. Dialysis Modality and Readmission Following Hospital Discharge: A Population-Based Cohort Study.

    Science.gov (United States)

    Perl, Jeffrey; McArthur, Eric; Bell, Chaim; Garg, Amit X; Bargman, Joanne M; Chan, Christopher T; Harel, Shai; Li, Lihua; Jain, Arsh K; Nash, Danielle M; Harel, Ziv

    2017-07-01

    Readmissions following hospital discharge among maintenance dialysis patients are common, potentially modifiable, and costly. Compared with patients receiving in-center hemodialysis (HD), patients receiving peritoneal dialysis (PD) have fewer routine dialysis clinic encounters and as a result may be more susceptible to a hospital readmission following discharge. Population-based retrospective-cohort observational study. Patients treated with maintenance dialysis who were discharged following an acute-care hospitalization during January 1, 2003, to December 31, 2013, across 164 acute-care hospitals in Ontario, Canada. For those with multiple hospitalizations, we randomly selected a single hospitalization as the index hospitalization. Dialysis modality PD or in-center HD. Propensity scores were used to match each patient on PD therapy to 2 patients on in-center HD therapy to ensure that baseline indicators of health were similar between the 2 groups. All-cause 30-day readmission following the index hospital discharge. 28,026 dialysis patients were included in the study. 4,013 PD patients were matched to 8,026 in-center HD patients. Among the matched cohort, 30-day readmission rates were 7.1 (95% CI, 6.6-7.6) per 1,000 person-days for patients on PD therapy and 6.0 (95% CI, 5.7-6.3) per 1,000 person-days for patients on in-center HD therapy. The risk for a 30-day readmission among patients on PD therapy was higher compared with those on in-center HD therapy (adjusted HR, 1.19; 95% CI, 1.08-1.31). The primary results were consistent across several key prespecified subgroups. Lack of information for the frequency of nephrology physician encounters following discharge from the hospital in both the PD and in-center HD cohorts. Limited validation of International Classification of Diseases, Tenth Revision codes. The risk for 30-day readmission is higher for patients on home-based PD compared to in-center HD therapy. Interventions to improve transitions in care between the

  10. Recurrent epistaxis: predicting risk of 30-day readmission, derivation and validation of RHINO-ooze score.

    Science.gov (United States)

    Addison, A; Paul, C; Kuo, R; Lamyman, A; Martinez-Devesa, P; Hettige, R

    2017-06-01

    To derive and validate a predictive scoring tool (RHINO-ooze score) with good sensitivity and specificity in identifying patients with epistaxis at high risk of 30 day readmission and to enable risk stratification for possible definitive intervention. Using medical databases, we searched for factors influencing recurrent epistaxis. The information ascertained together with our analysis of retrospective data on patients admitted with epistaxis between October 2013 and September 2014, was used as the derivation cohort to develop the predictive scoring model (RHINO-ooze score). The tool was validated by performing statistical analysis on the validation cohort of patients admitted with epistaxis between October 2014 and October 2015. Multiple linear regressions with backwards elimination was used to derive the predictive model. The area under the curve (AUC), sensitivity and specificity were calculated. 834 admissions were encountered within the study period. Using the derivative cohort (n= 302) the RHINO-ooze score with a maximum score of 8 from five variables (Recent admission, Haemorrhage point unidentified, Increasing age over 70, posterior Nasal packing, Oral anticoagulant) was developed. The RHINO-ooze score had a chi-square value of 99.72 with a significance level of smaller than 0.0001 and hence an overall good model fit. Comparison between the derivative and validation groups revealed similar rates of 30-day readmission between the cohorts. The sensitivity and specificity of predicting 30-day readmission in high risk patients with recurrent epistaxis (RHINO-ooze score equal/larger than 6) was 81% and 84%, respectively. The RHINO-ooze scoring tool demonstrates good specificity and sensitivity in predicting the risk of 30 day readmission in patients with epistaxis and can be used as an adjunct to clinical decision making with regards to timing of operative intervention in order to reduce readmission rates.

  11. Readmissions and death after ICU discharge: development and validation of two predictive models.

    Directory of Open Access Journals (Sweden)

    Omar Badawi

    Full Text Available INTRODUCTION: Early discharge from the ICU is desirable because it shortens time in the ICU and reduces care costs, but can also increase the likelihood of ICU readmission and post-discharge unanticipated death if patients are discharged before they are stable. We postulated that, using eICU® Research Institute (eRI data from >400 ICUs, we could develop robust models predictive of post-discharge death and readmission that may be incorporated into future clinical information systems (CIS to assist ICU discharge planning. METHODS: Retrospective, multi-center, exploratory cohort study of ICU survivors within the eRI database between 1/1/2007 and 3/31/2011. EXCLUSION CRITERIA: DNR or care limitations at ICU discharge and discharge to location external to hospital. Patients were randomized (2∶1 to development and validation cohorts. Multivariable logistic regression was performed on a broad range of variables including: patient demographics, ICU admission diagnosis, admission severity of illness, laboratory values and physiologic variables present during the last 24 hours of the ICU stay. Multiple imputation was used to address missing data. The primary outcomes were the area under the receiver operator characteristic curves (auROC in the validation cohorts for the models predicting readmission and death within 48 hours of ICU discharge. RESULTS: 469,976 and 234,987 patients representing 219 hospitals were in the development and validation cohorts. Early ICU readmission and death was experienced by 2.54% and 0.92% of all patients, respectively. The relationship between predictors and outcomes (death vs readmission differed, justifying the need for separate models. The models for early readmission and death produced auROCs of 0.71 and 0.92, respectively. Both models calibrated well across risk groups. CONCLUSIONS: Our models for death and readmission after ICU discharge showed good to excellent discrimination and good calibration. Although

  12. Which Factors Affect the Hospital Re-admission After Treatment Approaches to Urethral Strictures?

    Directory of Open Access Journals (Sweden)

    Reha Girgin

    2017-12-01

    Full Text Available Objective: To investigate patient- and procedure-related factors associated with hospital re-admission following urethral manipulations for the treatment of urethral strictures. Materials and Methods: Data of patients who underwent dilation or internal urethrotomy for urethral strictures between 2011 and 2016 were retrospectively analyzed. Patients who were admitted to our institute for any reason within one month after hospital discharge were evaluated. The patient- and procedure-related factors affecting the readmission rates were revealed by multiple binary logistic regression using stepwise backward elinimination. Results: The average age of 76 male patients was 61.7±14.4 years. The mean maximal flow rate at preoperative uroflowmetry was 6.01±4.3 and the median American Society of Anesthesiologists score was 2.38. The process was the first for 45 (59.2% patients, the second for 16 (21.1% patients, the third for 9 (11.8% patients, and the fourth for 6 (7.9% patients. Amplatz dilators, cold knife and Ho:YAG laser were used in 50%, 27.6% and 22.4% of patients, respectively. The mean length of hospital stay was 0.89±0.31 days, and the complication rate was 19.7% (15/76. The mean urethral catheter dwell time was 8.9±14.2 day. Overall, the procedure was successful in 61 (80.3% patients and failed (Qmax <15 mL/sec in 19.7% of the cases. Fifteen (19.7% patients were re-admitted, while 2 (2.6% patients among them were re-hospitalized for further treatment. Comorbidity and age were independent predictors of re-admission. Conclusion: We found that younger age and lower comorbidities predicted hospital re-admission following procedures for urethral strictures.

  13. Ten-Year Trends and Independent Risk Factors for Unplanned Readmission Following Elective Total Joint Arthroplasty at a Large Urban Academic Hospital.

    Science.gov (United States)

    Varacallo, Matthew A; Herzog, Leah; Toossi, Nader; Johanson, Norman A

    2017-06-01

    Total joint arthroplasty procedures continue to provide consistent, long-term success and high patient satisfaction scores. However, early unplanned readmission to the hospital imparts significant financial risks to individual institutions as we shift away from the traditional fee-for-service payment model. Using a combination of our hospital's administrative database and retrospective chart reviews, we report the 30-day and 90-day readmission rates and all causes of readmission following all unilateral, primary elective total hip and knee arthroplasty procedures at a large, urban, academic hospital from 2004 to 2013. In total, 1165 primary total hip (511) and knee (654) arthroplasty procedures were identified, and the 30-day and 90-day unplanned readmission rates were 4.6% and 7.3%, respectively. A multivariate regression model controlled for a variety of potential clinical and surgical confounders. Increasing body mass index levels, an American Society of Anesthesiologists score of ≥3, and discharge to an inpatient rehab facility each independently correlated with risk of both 30-day and 90-day unplanned readmission to our institution. Additionally, use of general anesthesia during the procedure independently correlated with risk of readmission at 30 days only, while congestive heart failure independently correlated with risk of 90-day unplanned readmission. Readmissions related directly to the surgical site accounted for 47% of the cases, and collectively totaled more than any single medical or clinical complication leading to unplanned readmission within the 90-day period. Increasing body mass index values, general anesthesia, an American Society of Anesthesiologists score of ≥3, and discharge to an inpatient rehab facility each were independent risk factors for early unplanned readmission. Copyright © 2017 Elsevier Inc. All rights reserved.

  14. Use of digoxin and risk of death or readmission for heart failure and sinus rhythm

    DEFF Research Database (Denmark)

    Madelaire, Christian; Schou, Morten; Nelveg-Kristensen, Karl Emil

    2016-01-01

    BACKGROUND/OBJECTIVES: Digoxin is widely used as symptomatic treatment in heart failure (HF), but the role in contemporary treatment of HF with sinus rhythm (SR) is debatable. We investigated the risk of death and hospital readmission, according to digoxin use, in a nationwide cohort of digoxin...... to primary outcomes of all-cause mortality and HF readmission. RESULTS: The study population comprised 5327 digoxin users and 10,654 matched non-users with a median age of 77. During follow-up 10,643 (66.6%) patients died and 7584 (47.5%) patients were readmitted due to HF. Use of digoxin was associated...... with increased risk of death (hazard ratio (HR): 1.19, 95%-CI: 1.15-1.24) and increased risk of HF readmission (HR: 1.19, 95%-CI: 1.13-1.25). Cumulative incidences of readmission, considering death as a competing risk was 50% for digoxin users and 47% for non-users. The associations applied regardless...

  15. Maternal post natal hospital readmission-trends and association with mode of delivery.

    LENUS (Irish Health Repository)

    Ade-Conde, J A

    2012-02-01

    The aim of this study is to examine the trend in maternal postnatal readmission within six weeks of discharge from childbirth hospitalisation. It is a retrospective review of the maternity computer records system, patient\\'s clinical notes and HIPE data base. All women who delivered babies weighing > 500 g and\\/ > or = 24 weeks gestational age at Our Lady of Lourdes Hospital, Drogheda, Ireland from 1st January 2005 to 31st December 2008 who were re-hospitalised within six weeks of discharge from hospital following child birth were included in the study. A total of 15782 women were delivered over the four year study period. Of these, 236 were readmitted. A series of chi-square analysis were conducted to assess the difference in readmission rates between the year 2008 86 (2.03%) and the years 2005-51(1.46%), 2006-39 (1.01%) and 2007-60 (1.42%). The readmission rate was found to be significantly higher in 2008 compared with the three preceding years. Complications of Caesarean section and secondary postpartum haemorrhage following spontaneous vaginal delivery constitute the major indications for readmission.

  16. Post–Acute Care Use and Hospital Readmission after Sepsis

    Science.gov (United States)

    Jones, Tiffanie K.; Fuchs, Barry D.; Small, Dylan S.; Halpern, Scott D.; Hanish, Asaf; Umscheid, Craig A.; Baillie, Charles A.; Kerlin, Meeta Prasad; Gaieski, David F.

    2015-01-01

    Rationale: The epidemiology of post–acute care use and hospital readmission after sepsis remains largely unknown. Objectives: To examine the rate of post–acute care use and hospital readmission after sepsis and to examine risk factors and outcomes for hospital readmissions after sepsis. Methods: In an observational cohort study conducted in an academic health care system (2010–2012), we compared post–acute care use at discharge and hospital readmission after 3,620 sepsis hospitalizations with 108,958 nonsepsis hospitalizations. We used three validated, claims-based approaches to identify sepsis and severe sepsis. Measurements and Main Results: Post–acute care use at discharge was more likely after sepsis, driven by skilled care facility placement (35.4% after sepsis vs. 15.8%; P Readmission rates at 7, 30, and 90 days were higher postsepsis (P readmission risk was present regardless of sepsis severity (27.3% after sepsis and 26.0–26.2% after severe sepsis). After controlling for presepsis characteristics, the readmission risk was found to be 1.51 times greater (95% CI, 1.38–1.66) than nonsepsis hospitalizations. Readmissions after sepsis were more likely to result in death or transition to hospice care (6.1% vs. 13.3% after sepsis; P readmissions after sepsis hospitalizations included age, malignancy diagnosis, hospitalizations in the year prior to the index hospitalization, nonelective index admission type, one or more procedures during the index hospitalization, and low hemoglobin and high red cell distribution width at discharge. Conclusions: Post–acute care use and hospital readmissions were common after sepsis. The increased readmission risk after sepsis was observed regardless of sepsis severity and was associated with adverse readmission outcomes. PMID:25751120

  17. Financial impact of introducing the Swiss-DRG reimbursement system on potentially avoidable readmissions at a university hospital.

    Science.gov (United States)

    Wasserfallen, Jean-Blaise; Zufferey, Jade

    2015-01-01

    Thirty-day readmissions can be classified as potentially avoidable (PARs) or not avoidable (NARs) by following a specific algorithm (SQLape®). We wanted to assess the financial impact of the Swiss-DRG system, which regroups some readmissions occurring within 18 days after discharge within the initial hospital stay, on PARs at our hospital. First, PARs were identified from all hospitalisations recorded in 2011 at our university hospital. Second, 2012 Swiss-DRG readmission rules were applied, regrouped readmissions (RR) were identified, and their financial impact computed. Third, RRs were classified as potentially avoidable (PARRs), not avoidable (NARRs), and others causes (OCRRs). Characteristics of PARR patients and stays were retrieved, and the financial impact of PARRS was computed. A total of 36,777 hospitalisations were recorded in 2011, of which 3,140 were considered as readmissions (8.5%): 1,470 PARs (46.8%) and 1,733 NARs (53.2%). The 2012 Swiss-DRG rules would have resulted in 910 RRs (2.5% of hospitalisations, 29% of readmissions): 395 PARRs (43% of RR), 181 NARRs (20%), and 334 OCRRs (37%). Loss in reimbursement would have amounted to CHF 3.157 million (0.6% of total reimbursement). As many as 95% of the 395 PARR patients lived at home. In total, 28% of PARRs occurred within 3 days after discharge, and 58% lasted less than 5 days; 79% of the patients were discharged home again. Loss in reimbursement would amount to CHF 1.771 million. PARs represent a sizeable number of 30-day readmissions, as do PARRs of 18-day RRs in the 2012 Swiss DRG system. They should be the focus of attention, as the PARRs represent an avoidable loss in reimbursement.

  18. Prevalence of anemia and its influence on hospital readmissions and emergency department visits in outpatients with heart failure.

    Science.gov (United States)

    Son, Youn-Jung; Kim, Bo Hwan

    2017-12-01

    Anemia is a frequent comorbidity in patients with heart failure. However, the incidence of anemia in patients with heart failure varies widely, and there is limited evidence on the association between anemia and rehospitalization and on the health consequences of anemia in patients with heart failure. We aimed to identify the prevalence of anemia and its influence on hospital readmissions and emergency department visits in outpatients with heart failure. This cross-sectional study included 284 patients with heart failure diagnosed at outpatient cardiology clinics at a tertiary care university hospital in Cheonan, South Korea. We obtained socio-demographic and clinical information, including frequency of readmissions and emergency department visits, using face-to-face interviews and medical record reviews. The prevalence of anemia, defined based on World Health Organization guidelines, was 39.1% among patients with heart failure. Anemia was significantly more prevalent among patients with one or more re-admissions or emergency department visits compared with patients with no history of hospital re-admissions or emergency department visits (42.7% vs. 13.9% ( p = 0.001) and 55.1% vs. 34% ( p = 0.002) respectively). Anemia increased the risk of hospital readmission (odds ratio =8.04, 95% confidence interval, 2.19-29.54) and emergency department visit (odds ratio=2.37, 95% confidence interval, 1.22-4.60) in patients with heart failure. It is imperative that patients with heart failure presenting with anemia undergo appropriate nursing assessment and intervention. Future prospective studies targeting interventions to improve anemia are required to determine whether anemia influences readmission rates and emergency department visits.

  19. Reoperation and readmission after clipping of an unruptured intracranial aneurysm: a National Surgical Quality Improvement Program analysis.

    Science.gov (United States)

    Dasenbrock, Hormuzdiyar H; Smith, Timothy R; Rudy, Robert F; Gormley, William B; Aziz-Sultan, M Ali; Du, Rose

    2018-03-01

    OBJECTIVE Although reoperation and readmission have been used as quality metrics, there are limited data evaluating the rate of, reasons for, and predictors of reoperation and readmission after microsurgical clipping of unruptured aneurysms. METHODS Adult patients who underwent craniotomy for clipping of an unruptured aneurysm electively were extracted from the prospective National Surgical Quality Improvement Program registry (2011-2014). Multivariable logistic regression and recursive partitioning analysis evaluated the independent predictors of nonroutine hospital discharge, unplanned 30-day reoperation, and readmission. Predictors screened included patient age, sex, comorbidities, American Society of Anesthesiologists (ASA) classification, functional status, aneurysm location, preoperative laboratory values, operative time, and postoperative complications. RESULTS Among the 460 patients evaluated, 4.2% underwent any reoperation at a median of 7 days (interquartile range [IQR] 2-17 days) postoperatively, and 1.1% required a cranial reoperation. The most common reoperation was ventricular shunt placement (23.5%); other reoperations were tracheostomy, craniotomy for hematoma evacuation, and decompressive hemicraniectomy. Independent predictors of any unplanned reoperation were age greater than 51 years and longer operative time (p ≤ 0.04). Readmission occurred in 6.3% of patients at a median of 6 days (IQR 5-13 days) after discharge from the surgical hospitalization; 59.1% of patients were readmitted within 1 week and 86.4% within 2 weeks of discharge. The most common reason for readmission was seizure (26.7%); other causes of readmission included hydrocephalus, cerebrovascular accidents, and headache. Unplanned readmission was independently associated with age greater than 65 years, Class II or III obesity (body mass index > 35 kg/m 2 ), preoperative hyponatremia, and preoperative anemia (p ≤ 0.04). Readmission was not associated with operative time

  20. Influence of Sacubitril/Valsartan (LCZ696) on 30-Day Readmission After Heart Failure Hospitalization.

    Science.gov (United States)

    Desai, Akshay S; Claggett, Brian L; Packer, Milton; Zile, Michael R; Rouleau, Jean L; Swedberg, Karl; Shi, Victor; Lefkowitz, Martin; Starling, Randall; Teerlink, John; McMurray, John J V; Solomon, Scott D

    2016-07-19

    Patients with heart failure (HF) are at high risk for hospital readmission in the first 30 days following HF hospitalization. This study sought to determine if treatment with sacubitril/valsartan (LCZ696) reduces rates of hospital readmission at 30-days following HF hospitalization compared with enalapril. We assessed the risk of 30-day readmission for any cause following investigator-reported hospitalizations for HF in the PARADIGM-HF trial, which randomized 8,399 participants with HF and reduced ejection fraction to treatment with LCZ696 or enalapril. Accounting for multiple hospitalizations per patient, there were 2,383 investigator-reported HF hospitalizations, of which 1,076 (45.2%) occurred in subjects assigned to LCZ696 and 1,307 (54.8%) occurred in subjects assigned to enalapril. Rates of readmission for any cause at 30 days were 17.8% in LCZ696-assigned subjects and 21.0% in enalapril-assigned subjects (odds ratio: 0.74; 95% confidence interval: 0.56 to 0.97; p = 0.031). Rates of readmission for HF at 30-days were also lower in subjects assigned to LCZ696 (9.7% vs. 13.4%; odds ratio: 0.62; 95% confidence interval: 0.45 to 0.87; p = 0.006). The reduction in both all-cause and HF readmissions with LCZ696 was maintained when the time window from discharge was extended to 60 days and in sensitivity analyses restricted to adjudicated HF hospitalizations. Compared with enalapril, treatment with LCZ696 reduces 30-day readmissions for any cause following discharge from HF hospitalization. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  1. Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange.

    Science.gov (United States)

    Hao, Shiying; Wang, Yue; Jin, Bo; Shin, Andrew Young; Zhu, Chunqing; Huang, Min; Zheng, Le; Luo, Jin; Hu, Zhongkai; Fu, Changlin; Dai, Dorothy; Wang, Yicheng; Culver, Devore S; Alfreds, Shaun T; Rogow, Todd; Stearns, Frank; Sylvester, Karl G; Widen, Eric; Ling, Xuefeng B

    2015-01-01

    Identifying patients at risk of a 30-day readmission can help providers design interventions, and provide targeted care to improve clinical effectiveness. This study developed a risk model to predict a 30-day inpatient hospital readmission for patients in Maine, across all payers, all diseases and all demographic groups. Our objective was to develop a model to determine the risk for inpatient hospital readmission within 30 days post discharge. All patients within the Maine Health Information Exchange (HIE) system were included. The model was retrospectively developed on inpatient encounters between January 1, 2012 to December 31, 2012 from 24 randomly chosen hospitals, and then prospectively validated on inpatient encounters from January 1, 2013 to December 31, 2013 using all HIE patients. A risk assessment tool partitioned the entire HIE population into subgroups that corresponded to probability of hospital readmission as determined by a corresponding positive predictive value (PPV). An overall model c-statistic of 0.72 was achieved. The total 30-day readmission rates in low (score of 0-30), intermediate (score of 30-70) and high (score of 70-100) risk groupings were 8.67%, 24.10% and 74.10%, respectively. A time to event analysis revealed the higher risk groups readmitted to a hospital earlier than the lower risk groups. Six high-risk patient subgroup patterns were revealed through unsupervised clustering. Our model was successfully integrated into the statewide HIE to identify patient readmission risk upon admission and daily during hospitalization or for 30 days subsequently, providing daily risk score updates. The risk model was validated as an effective tool for predicting 30-day readmissions for patients across all payer, disease and demographic groups within the Maine HIE. Exposing the key clinical, demographic and utilization profiles driving each patient's risk of readmission score may be useful to providers in developing individualized post discharge

  2. Early discharge care with ongoing follow-up support may reduce hospital readmissions in COPD.

    LENUS (Irish Health Repository)

    Lawlor, Maria

    2012-02-01

    BACKGROUND: Early discharge care and self-management education, although effective in the management of chronic obstructive pulmonary disease (COPD), do not typically reduce hospital re-admission rates for exacerbations of the disease. We hypothesized that a respiratory outreach programme that comprises early discharge care followed by continued rapid-access out-patient support would reduce the need for hospital readmission in these patients. METHODS: Two hundred and forty-six patients, acutely admitted with exacerbations of COPD, were recruited to the respiratory outreach programme that included early discharge care, follow-up education, telephone support and rapid future access to respiratory out-patient clinics. Sixty of these patients received self-management education also. Emergency department presentations and admission rates were compared at six and 12 months after, compared to prior to, participation in the programme for the same patient cohort. RESULTS: The frequency of both emergency department presentations and hospital admissions was significantly reduced after participation in the programme. CONCLUSIONS: Provision of a respiratory outreach service that includes early discharge care, followed by education, telephone support and ongoing rapid access to out-patient clinics is associated with reduced readmission rates in COPD patients.

  3. Leveraging lean principles in creating a comprehensive quality program: The UCLA health readmission reduction initiative.

    Science.gov (United States)

    Afsar-Manesh, Nasim; Lonowski, Sarah; Namavar, Aram A

    2017-12-01

    UCLA Health embarked to transform care by integrating lean methodology in a key clinical project, Readmission Reduction Initiative (RRI). The first step focused on assembling a leadership team to articulate system-wide priorities for quality improvement. The lean principle of creating a culture of change and accountability was established by: 1) engaging stakeholders, 2) managing the process with performance accountability, and, 3) delivering patient-centered care. The RRI utilized three major lean principles: 1) A3, 2) root cause analyses, 3) value stream mapping. Baseline readmission rate at UCLA from 9/2010-12/2011 illustrated a mean of 12.1%. After the start of the RRI program, for the period of 1/2012-6/2013, the readmission rate decreased to 11.3% (p<0.05). To impact readmissions, solutions must evolve from smaller service- and location-based interventions into strategies with broader approach. As elucidated, a systematic clinical approach grounded in lean methodologies is a viable solution to this complex problem. Copyright © 2017 Elsevier Inc. All rights reserved.

  4. 12 CFR 925.30 - Readmission to membership.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Readmission to membership. 925.30 Section 925.30 Banks and Banking FEDERAL HOUSING FINANCE BOARD FEDERAL HOME LOAN BANK MEMBERS AND HOUSING ASSOCIATES MEMBERS OF THE BANKS Reacquisition of Membership § 925.30 Readmission to membership. (a) In...

  5. Factors Contributing to Readmission of Seniors into Acute Care Hospitals

    Science.gov (United States)

    DeCoster, Vaughn; Ehlman, Katie; Conners, Carolyn

    2013-01-01

    Medicare spending is expected to increase by 79% between the years 2010 and 2020, caused, in-part, by hospital readmissions within 30 days of discharge. This study identified factors contributing to hospital readmissions in a midwest heath service area (HSA), using Coleman's Transition Care Model as the theoretical framework. The researchers…

  6. Investigating the widely held belief that men and women with learning disabilities receive poor quality healthcare when admitted to hospital: a single-site study of 30-day readmission rates.

    Science.gov (United States)

    Kelly, C L; Thomson, K; Wagner, A P; Waters, J P; Thompson, A; Jones, S; Holland, A J; Redley, M

    2015-09-01

    This study aims to use 30-day readmission rates to investigate the presumption that men and women with learning disabilities (LDs, known internationally as intellectual disabilities) receive poorer quality hospital care than their non-disabled peers. A 12-month retrospective audit was conducted using Hospital Episode Statistics (HES) at a single acute hospital in the East of England. This identified all in-patient admissions; admissions where the person concerned was recognised as having a LD; and all emergency readmissions within 30 days of discharge. Additionally, the healthcare records of all patients identified as having a LD and readmitted within 30 days as a medical emergency were examined in order to determine whether or not these readmissions were potentially preventable. Over the study period, a total of 66 870 adults were admitted as in-patients, among whom 7408 were readmitted as medical emergencies within 30 days of discharge: a readmission rate of 11%. Of these 66 870 patients, 256 were identified as having a LD, with 32 of them experiencing at least one emergency readmission within 30 days: a readmission rate of 13%. When examined, the healthcare records pertaining to these 32 patients who had a total of 39 unique 30-day readmissions revealed that 69% (n = 26) of these readmissions were potentially preventable. Although overall readmission rates were similar for patients with LDs and those from the general population, patients with LDs had a much higher rate of potentially preventable readmissions when compared to a general population estimate from van Walraven et al. This suggests that there is still work to be done to ensure that this patient population receives hospital care that is both safe and of high quality. © 2015 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

  7. Residents examine factors associated with 30-day, same-cause hospital readmissions on an internal medicine service.

    Science.gov (United States)

    Moran, Jennifer; Colbert, Colleen Y; Song, Juhee; Hull, Joshua; Rajan, Sabitha; Varghees, Sunita; Arroliga, Alejandro C; Reddy, Santosh P

    2013-01-01

    In recent years, there has been increased interest in stemming the tide of hospital readmissions in an attempt to improve quality of care. This study presents the Phase I results of a resident-led quality improvement initiative to determine the percentage of and risk factors for same-cause readmissions (SCRs; defined as hospital readmission within 30 days of hospital discharge for treatment of the same condition) to the internal medicine service of a multispecialty teaching hospital in central Texas. Results indicate that patients diagnosed with chronic obstructive pulmonary disease/asthma or anemia may be at increased risk for SCRs. Those patients who are insured by Medicaid and those who require assistance from social services also demonstrated an increased risk for SCRs. This study appears to be the first resident-led initiative in the field to examine 30-day SCRs to an internal medicine service for demographic and clinical risk factors.

  8. Self-reflection as a Tool to Increase Hospitalist Participation in Readmission Quality Improvement.

    Science.gov (United States)

    Rana, Vipulkumar; Thapa, Bipin; Saini, Sumanta Chaudhuri; Nagpal, Pooja; Segon, Ankur; Fletcher, Kathlyn; Lamb, Geoffrey

    Reducing 30-day readmissions is a national priority. Although multipronged programs have been shown to reduce readmissions, the role of the individual hospitalist physician in reducing readmissions is not clear. We evaluated the effect of physicians' self-review of their own readmission cases on the 30-day readmission rate. Over a 1-year period, hospitalists were sent their individual readmission rates and cases on a weekly basis. They reviewed their cases and completed a data abstraction tool. In addition, a facilitator led small group discussion about common causes of readmission and ways to prevent such readmissions. Our preintervention readmission rate was 16.16% and postintervention was 14.99% (P = .76). Among hospitalists on duty, nearly all participated in scheduled facilitated discussions. Self-review was completed in 67% of the cases. A facilitated reflective practice intervention increased hospitalist participation and awareness in the mission to reduce readmissions and this intervention resulted in a nonsignificant trend in readmission reduction.

  9. Risk factors for unplanned readmission within 30 days after pediatric neurosurgery: a nationwide analysis of 9799 procedures from the American College of Surgeons National Surgical Quality Improvement Program.

    Science.gov (United States)

    Sherrod, Brandon A; Johnston, James M; Rocque, Brandon G

    2016-09-01

    OBJECTIVE Hospital readmission rate is increasingly used as a quality outcome measure after surgery. The purpose of this study was to establish, using a national database, the baseline readmission rates and risk factors for patient readmission after pediatric neurosurgical procedures. METHODS The American College of Surgeons National Surgical Quality Improvement Program-Pediatric database was queried for pediatric patients treated by a neurosurgeon between 2012 and 2013. Procedures were categorized by current procedural terminology (CPT) code. Patient demographics, comorbidities, preoperative laboratory values, operative variables, and postoperative complications were analyzed via univariate and multivariate techniques to find associations with unplanned readmissions within 30 days of the primary procedure. RESULTS A total of 9799 cases met the inclusion criteria, 1098 (11.2%) of which had an unplanned readmission within 30 days. Readmission occurred 14.0 ± 7.7 days postoperatively (mean ± standard deviation). The 4 procedures with the highest unplanned readmission rates were CSF shunt revision (17.3%; CPT codes 62225 and 62230), repair of myelomeningocele > 5 cm in diameter (15.4%), CSF shunt creation (14.1%), and craniectomy for infratentorial tumor excision (13.9%). The lowest unplanned readmission rates were for spine (6.5%), craniotomy for craniosynostosis (2.1%), and skin lesion (1.0%) procedures. On multivariate regression analysis, the odds of readmission were greatest in patients experiencing postoperative surgical site infection (SSI; deep, organ/space, superficial SSI, and wound disruption: OR > 12 and p 10 days (OR 1.411, p = 0.010), oxygen supplementation (OR 1.645, p = 0.010), nutritional support (OR 1.403, p = 0.009), seizure disorder (OR 1.250, p = 0.021), and longer operative time (per hour increase, OR 1.059, p = 0.029). CONCLUSIONS This study may aid in identifying patients at risk for unplanned readmission following pediatric neurosurgery

  10. Newborn Length of Stay and Risk of Readmission.

    Science.gov (United States)

    Harron, Katie; Gilbert, Ruth; Cromwell, David; Oddie, Sam; van der Meulen, Jan

    2017-05-01

    Evidence on the association between newborn length of hospital stay (LOS) and risk of readmission is conflicting. We compared methods for modelling this relationship, by gestational age, using population-level hospital data on births in England between 2005-14. The association between LOS and unplanned readmission within 30 days of postnatal discharge was explored using four approaches: (i) modelling hospital-level LOS and readmission rates; (ii) comparing trends over time in LOS and readmission; (iii) modelling individual LOS and adjusted risk of readmission; and (iv) instrumental variable analyses (hospital-level mean LOS and number of births on the same day). Of 4 667 827 babies, 5.2% were readmitted within 30 days. Aggregated data showed hospitals with longer mean LOS were not associated with lower readmission rates for vaginal (adjusted risk ratio (aRR) 0.87, 95% confidence interval (CI) 0.66, 1.13), or caesarean (aRR 0.89, 95% CI 0.72, 1.12) births. LOS fell by an average 2.0% per year for vaginal births and 3.4% for caesarean births, while readmission rates increased by 4.4 and 5.1% per year respectively. Approaches (iii) and (iv) indicated that longer LOS was associated with a reduced risk of readmission, but only for late preterm, vaginal births (34-36 completed weeks' gestation). Longer newborn LOS may benefit late preterm babies, possibly due to increased medical or psychosocial support for those at greater risk of potentially preventable readmissions after birth. Research based on observational data to evaluate relationships between LOS and readmission should use methods to reduce the impact of unmeasured confounding. © 2017 The Authors Paediatric and Perinatal Epidemiology Published by John Wiley & Sons Ltd.

  11. Risk factors for 90-day readmission in veterans with inflammatory bowel disease-Does post-discharge follow-up matter?

    Science.gov (United States)

    Malhotra, Ashish; Phatharacharukul, Parkpoom; Thongprayoon, Charat

    2018-02-08

    Repeat hospitalizations in veterans with inflammatory bowel disease (IBD) are understudied. The early readmission rate and potentially modifiable risk-factors for 90-day readmission in veterans with IBD were studied to avert avoidable readmissions. A retrospective cohort study was conducted using the data from veterans who were admitted to the Minneapolis VA Medical Center (MVMC) between January 1, 2007, and December 31, 2013, for an IBD-related problem. All-cause readmissions within 30 and 90 days were recorded to calculate early readmission rates. The multivariate logistic regression was used to identify the potential risk factors for 90-day readmission. There were 130 unique patients (56.9% with Crohn's disease and 43.1% with ulcerative colitis) with 202 IBD-related index admissions. The mean age at the time of index admission was 59.8 ± 15.2 years. The median time to re-hospitalization was 26 days (IQR 10-49), with 30- and 90-day readmission rates of 17.3% (35/202) and 29.2% (59/202), respectively. Reasons for all-cause readmission were IBD-related (71.2%), scheduled surgery (3.4%) and non-gastrointestinal causes (25.4%). The following reasons were independently associated with 90-day readmission: Crohn's disease (OR 3.90; 95% CI 1.82-8.90), use of antidepressants (OR 2.19; 95% CI 1.12-4.32), and lack of follow-up within 90 days with a primary care physician (PCP) (OR 2.63; 95% CI 1.32-5.26) or a gastroenterologist (GI) (OR 2.44; 95% CI 1.20-5.00). 51.0% and 49.0% of patients had documentation of a recommended outpatient follow-up with PCP and/or GI, respectively. Early readmission in IBD is common. Independent risk factors for 90-day readmission included Crohn's disease, use of antidepressants and lack of follow-up visit with PCP or GI. Further research is required to determine if the appropriate timing of post-discharge follow-up can reduce IBD readmissions.

  12. Predicting risk of unplanned hospital readmission in survivors of critical illness: a population-level cohort study.

    Science.gov (United States)

    Lone, Nazir I; Lee, Robert; Salisbury, Lisa; Donaghy, Eddie; Ramsay, Pamela; Rattray, Janice; Walsh, Timothy S

    2018-04-05

    Intensive care unit (ICU) survivors experience high levels of morbidity after hospital discharge and are at high risk of unplanned hospital readmission. Identifying those at highest risk before hospital discharge may allow targeting of novel risk reduction strategies. We aimed to identify risk factors for unplanned 90-day readmission, develop a risk prediction model and assess its performance to screen for ICU survivors at highest readmission risk. Population cohort study linking registry data for patients discharged from general ICUs in Scotland (2005-2013). Independent risk factors for 90-day readmission and discriminant ability (c-index) of groups of variables were identified using multivariable logistic regression. Derivation and validation risk prediction models were constructed using a time-based split. Of 55 975 ICU survivors, 24.1% (95%CI 23.7% to 24.4%) had unplanned 90-day readmission. Pre-existing health factors were fair discriminators of readmission (c-index 0.63, 95% CI 0.63 to 0.64) but better than acute illness factors (0.60) or demographics (0.54). In a subgroup of those with no comorbidity, acute illness factors (0.62) were better discriminators than pre-existing health factors (0.56). Overall model performance and calibration in the validation cohort was fair (0.65, 95% CI 0.64 to 0.66) but did not perform sufficiently well as a screening tool, demonstrating high false-positive/false-negative rates at clinically relevant thresholds. Unplanned 90-day hospital readmission is common. Pre-existing illness indices are better predictors of readmission than acute illness factors. Identifying additional patient-centred drivers of readmission may improve risk prediction models. Improved understanding of risk factors that are amenable to intervention could improve the clinical and cost-effectiveness of post-ICU care and rehabilitation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights

  13. Readmissions to Different Hospitals After Common Surgical Procedures and Consequences for Implementation of Perioperative Surgical Home Programs.

    Science.gov (United States)

    Dexter, Franklin; Epstein, Richard H; Sun, Eric C; Lubarsky, David A; Dexter, Elisabeth U

    2017-09-01

    We consider whether there should be greater priority of information sharing about postacute surgical resources used: (1) at skilled nursing facilities or inpatient rehabilitation hospitals to which patients are transferred upon discharge (when applicable) versus (2) at different hospitals where readmissions occur. Obtaining and storing data electronically from these 2 sources for Perioperative Surgical Home initiatives are dissimilar; both can be challenging depending on the country and health system. Using the 2013 US Nationwide Readmissions Database, we studied discharges of surgical diagnosis-related group (DRG) with US national median length of stay (LOS) ≥ 3 days and ≥ 10 hospitals each with ≥ 100 discharges for the Medicare Severity DRG. Nationwide, 16.15% (95% confidence interval [CI], 15.14%-17.22%) of discharges were with a disposition of "not to home" (ie, transfer to a skilled nursing facility or an inpatient rehabilitation hospital). Within 30 days, 0.88% of discharges (0.82%-0.95%) were followed by readmission and to a different hospital than the original hospital where the surgery was performed. Among all discharges, disposition "not to home" versus "to home" was associated with greater odds that the patient would have readmission within 30 days and to a different hospital than where the surgery was performed (2.11, 95% CI, 1.96-2.27; P < .0001). In part, this was because disposition "not to home" was associated with greater odds of readmission to any hospital (1.90, 95% CI, 1.82-1.98; P < .0001). In addition, among the subset of discharges with readmission within 30 days, disposition "not to home" versus "to home" was associated with greater odds that the readmission was to a different hospital than where the surgery was performed (1.20, 95% CI, 1.11-1.31; P < .0001). There was no association between the hospitals' median LOS for the DRG and the odds that readmission was to a different hospital (P = .82). The odds ratio per each 1 day decrease

  14. Effect of post-discharge follow-up care on re-admissions among US veterans with congestive heart failure: a rural-urban comparison.

    Science.gov (United States)

    Muus, Kyle J; Knudson, Alana; Klug, Marilyn G; Gokun, Jane; Sarrazin, Mary; Kaboli, Peter

    2010-01-01

    Hospital re-admissions for patients with congestive heart failure (CHF) are relatively common and costly occurrences within the US health infrastructure, including the Veterans Affairs (VA) healthcare system. Little is known about CHF re-admissions among rural veteran patients, including the effects of socio-demographics and follow-up outpatient visits on these re-admissions. To examine socio-demographics of US veterans with CHF who had 30 day potentially preventable re-admissions and compare the effect of 30 day VA post-discharge service use on these re-admissions for rural- and urban-dwelling veterans. The 2005-2007 VA data were analyzed to examine patient characteristics and hospital admissions for 36 566 veterans with CHF. The CHF patients who were and were not re-admitted to a VA hospital within 30 days of discharge were identified. Logistic regression was used to examine and compare the effect of VA post-acute service use on re-admissions between rural- and urban-dwelling veterans. Re-admitted veterans tended to be older (p=.002), had disability status (p=.024) and had longer hospital stays (precovery and good health among hospitalized veterans with CHF, regardless of their rural or urban residence. Older, rural veterans with CHF are in need of special attention for VA discharge planning and follow up with primary care providers.

  15. Associations between nursing home performance and hospital 30-day readmissions for acute myocardial infarction, heart failure and pneumonia at the healthcare community level in the United States.

    Science.gov (United States)

    Pandolfi, Michelle M; Wang, Yun; Spenard, Ann; Johnson, Florence; Bonner, Alice; Ho, Shih-Yieh; Elwell, Timothy; Bakullari, Anila; Galusha, Deron; Leifheit-Limson, Erica; Lichtman, Judith H; Krumholz, Harlan M

    2017-12-01

    To evaluate community-specific nursing home performance with community-specific hospital 30-day readmissions for Medicare patients discharged with acute myocardial infarction, heart failure or pneumonia. Cross-sectional study using 2009-2012 hospital risk-standardised 30-day readmission data for Medicare fee-for-service patients hospitalised for all three conditions and nursing home performance data from the Centers for Medicare & Medicaid Services Five-Star Quality Rating System. Medicare-certified nursing homes and acute care hospitals. 12,542 nursing homes and 3,039 hospitals treating 30 or more Medicare fee-for-service patients for all three conditions across 2,032 hospital service areas in the United States. Community-specific hospital 30-day risk-standardised readmission rates. Community-specific nursing home performance measures: health inspection, staffing, Registered Nurses and quality performance; and an aggregated performance score. Mixed-effects models evaluated associations between nursing home performance and hospital 30-day risk-standardised readmission rates for all three conditions. The relationship between community-specific hospital risk-standardised readmission rates and community-specific overall nursing home performance was statistically significant for all three conditions. Increasing nursing home performance by one star resulted in decreases of 0.29% point (95% CI: 0.12-0.47), 0.78% point (95% CI: 0.60-0.95) and 0.46% point (95% CI: 0.33-0.59) of risk-standardised readmission rates for AMI, HF and pneumonia, respectively. Among the specific measures, higher performance in nursing home overall staffing and Registered Nurse staffing measures was statistically significantly associated with lower hospital readmission rates for all three conditions. Notable geographic variation in the community-specific nursing home performance was observed. Community-specific nursing home performance is associated with community-specific hospital 30-day

  16. Probability of Accurate Heart Failure Diagnosis and the Implications for Hospital Readmissions.

    Science.gov (United States)

    Carey, Sandra A; Bass, Kyle; Saracino, Giovanna; East, Cara A; Felius, Joost; Grayburn, Paul A; Vallabhan, Ravi C; Hall, Shelley A

    2017-04-01

    Heart failure (HF) is a complex syndrome with inherent diagnostic challenges. We studied the scope of possibly inaccurately documented HF in a large health care system among patients assigned a primary diagnosis of HF at discharge. Through a retrospective record review and a classification schema developed from published guidelines, we assessed the probability of the documented HF diagnosis being accurate and determined factors associated with HF-related and non-HF-related hospital readmissions. An arbitration committee of 3 experts reviewed a subset of records to corroborate the results. We assigned a low probability of accurate diagnosis to 133 (19%) of the 712 patients. A subset of patients were also reviewed by an expert panel, which concluded that 13% to 35% of patients probably did not have HF (inter-rater agreement, kappa = 0.35). Low-probability HF was predictive of being readmitted more frequently for non-HF causes (p = 0.018), as well as documented arrhythmias (p = 0.023), and age >60 years (p = 0.006). Documented sleep apnea (p = 0.035), percutaneous coronary intervention (p = 0.006), non-white race (p = 0.047), and B-type natriuretic peptide >400 pg/ml (p = 0.007) were determined to be predictive of HF readmissions in this cohort. In conclusion, approximately 1 in 5 patients documented to have HF were found to have a low probability of actually having it. Moreover, the determination of low-probability HF was twice as likely to result in readmission for non-HF causes and, thus, should be considered a determinant for all-cause readmissions in this population. Copyright © 2017 Elsevier Inc. All rights reserved.

  17. Readmissions after stroke: linked data from the Australian Stroke Clinical Registry and hospital databases.

    Science.gov (United States)

    Kilkenny, Monique F; Dewey, Helen M; Sundararajan, Vijaya; Andrew, Nadine E; Lannin, Natasha; Anderson, Craig S; Donnan, Geoffrey A; Cadilhac, Dominique A

    2015-07-20

    To assess the feasibility of linking a national clinical stroke registry with hospital admissions and emergency department data; and to determine factors associated with hospital readmission after stroke or transient ischaemic attack (TIA) in Australia. Data from the Australian Stroke Clinical Registry (AuSCR) at a single Victorian hospital were linked to coded, routinely collected hospital datasets for admissions (Victorian Admitted Episodes Dataset) and emergency presentations (Victorian Emergency Minimum Dataset) in Victoria from 15 June 2009 to 31 December 2010, using stepwise deterministic data linkage techniques. Association of patient characteristics, social circumstances, processes of care and discharge outcomes with all-cause readmissions within 1 year from time of hospital discharge after an index admission for stroke or TIA. Of 788 patients registered in the AuSCR, 46% (359/781) were female, 83% (658/788) had a stroke, and the median age was 76 years. Data were successfully linked for 782 of these patients (99%). Within 1 year of their index stroke or TIA event, 42% of patients (291/685) were readmitted, with 12% (35/286) readmitted due to a stroke or TIA. Factors significantly associated with 1-year hospital readmission were two or more presentations to an emergency department before the index event (adjusted odds ratio [aOR], 1.57; 95% CI, 1.02-2.43), higher Charlson comorbidity index score (aOR, 1.19; 95% CI, 1.07-1.32) and diagnosis of TIA on the index admission (aOR, 2.15; 95% CI, 1.30-3.56). Linking clinical registry data with routinely collected hospital data for stroke and TIA is feasible in Victoria. Using these linked data, we found that readmission to hospital is common in this patient group and is related to their comorbid conditions.

  18. Risk Factors for Emergency Department Short Time Readmission in Stratified Population

    Directory of Open Access Journals (Sweden)

    Ariadna Besga

    2015-01-01

    Full Text Available Background. Emergency department (ED readmissions are considered an indicator of healthcare quality that is particularly relevant in older adults. The primary objective of this study was to identify key factors for predicting patients returning to the ED within 30 days of being discharged. Methods. We analysed patients who attended our ED in June 2014, stratified into four groups based on the Kaiser pyramid. We collected data on more than 100 variables per case including demographic and clinical characteristics and drug treatments. We identified the variables with the highest discriminating power to predict ED readmission and constructed classifiers using machine learning methods to provide predictions. Results. Classifier performance distinguishing between patients who were and were not readmitted (within 30 days, in terms of average accuracy (AC. The variables with the greatest discriminating power were age, comorbidity, reasons for consultation, social factors, and drug treatments. Conclusions. It is possible to predict readmissions in stratified groups with high accuracy and to identify the most important factors influencing the event. Therefore, it will be possible to develop interventions to improve the quality of care provided to ED patients.

  19. Nationwide prospective study on readmission after umbilical or epigastric hernia repair

    DEFF Research Database (Denmark)

    Helgstrand, F; Jørgensen, L N; Rosenberg, J

    2013-01-01

    The primary aim of the present study was to investigate risk factors for readmission after elective umbilical and epigastric hernia repair and secondarily to evaluate causes for readmission.......The primary aim of the present study was to investigate risk factors for readmission after elective umbilical and epigastric hernia repair and secondarily to evaluate causes for readmission....

  20. The Impact of Disability and Social Determinants of Health on Condition-Specific Readmissions beyond Medicare Risk Adjustments: A Cohort Study.

    Science.gov (United States)

    Meddings, Jennifer; Reichert, Heidi; Smith, Shawna N; Iwashyna, Theodore J; Langa, Kenneth M; Hofer, Timothy P; McMahon, Laurence F

    2017-01-01

    Readmission rates after pneumonia, heart failure, and acute myocardial infarction hospitalizations are risk-adjusted for age, gender, and medical comorbidities and used to penalize hospitals. To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment. Retrospective cohort study of Medicare patients using 1) linked Health and Retirement Study-Medicare claims data (HRS-CMS) and 2) Healthcare Cost and Utilization Project State Inpatient Databases (Florida, Washington) linked with ZIP Code-level measures from the Census American Community Survey (ACS-HCUP). Multilevel logistic regression models assessed the impact of disability and selected social determinants of health on readmission beyond current risk adjustment. Outcomes measured were readmissions ≤30 days after hospitalizations for pneumonia, heart failure, or acute myocardial infarction. HRS-CMS models included disability measures (activities of daily living [ADL] limitations, cognitive impairment, nursing home residence, home healthcare use) and social determinants of health (spouse, children, wealth, Medicaid, race). ACS-HCUP model measures were ZIP Code-percentage of residents ≥65 years of age with ADL difficulty, spouse, income, Medicaid, and patient-level and hospital-level race. For pneumonia, ≥3 ADL difficulties (OR 1.61, CI 1.079-2.391) and prior home healthcare needs (OR 1.68, CI 1.204-2.355) increased readmission in HRS-CMS models (N = 1631); ADL difficulties (OR 1.20, CI 1.063-1.352) and 'other' race (OR 1.14, CI 1.001-1.301) increased readmission in ACS-HCUP models (N = 27,297). For heart failure, children (OR 0.66, CI 0.437-0.984) and wealth (OR 0.53, CI 0.349-0.787) lowered readmission in HRS-CMS models (N = 2068), while black (OR 1.17, CI 1.056-1.292) and 'other' race (OR 1.14, CI 1.036-1.260) increased readmission in ACS-HCUP models (N = 37,612). For acute myocardial infarction, nursing home status

  1. Risk of death and readmission of hospital-admitted COPD exacerbations: European COPD Audit.

    Science.gov (United States)

    Hartl, Sylvia; Lopez-Campos, Jose Luis; Pozo-Rodriguez, Francisco; Castro-Acosta, Ady; Studnicka, Michael; Kaiser, Bernhard; Roberts, C Michael

    2016-01-01

    Studies report high in-hospital and post-discharge mortality of chronic obstructive pulmonary disease (COPD) exacerbations varying depending upon patient characteristics, hospital resources and treatment standards. This study aimed to investigate the patient, resource and organisational factors associated with in-hospital and 90-day post-discharge mortality and readmission of COPD exacerbations within the European COPD Audit. The audit collected data of COPD exacerbation admissions from 13 European countries.On admission, only 49.7% of COPD patients had spirometry results available and only 81.6% had blood gases taken. Using logistic regression analysis, the risk associated with in-hospital and post-discharge mortality was higher age, presence of acidotic respiratory failure, subsequent need for ventilatory support and presence of comorbidity. In addition, the 90-day risk of COPD readmission was associated with previous admissions. Only the number of respiratory specialists per 1000 beds, a variable related to hospital resources, decreased the risk of post-discharge mortality.The European COPD Audit identifies risk factors associated with in-hospital and post-discharge mortality and COPD readmission. Addressing the deficiencies in acute COPD care such as making spirometry available and measuring blood gases and providing noninvasive ventilation more regularly would provide opportunities to improve COPD outcomes. Copyright ©ERS 2016.

  2. Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

    Science.gov (United States)

    Jamei, Mehdi; Nisnevich, Aleksandr; Wetchler, Everett; Sudat, Sylvia; Liu, Eric

    2017-01-01

    Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists. Here, using data from more than 300,000 hospital stays in California from Sutter Health's EHR system, we built and tested an artificial neural network (NN) model based on Google's TensorFlow library. Through comparison with other traditional and non-traditional models, we demonstrated that neural networks are great candidates to capture the complexity and interdependency of various data fields in EHRs. LACE, the current industry standard, showed a precision (PPV) of 0.20 in identifying high-risk patients in our database. In contrast, our NN model yielded a PPV of 0.24, which is a 20% improvement over LACE. Additionally, we discussed the predictive power of Social Determinants of Health (SDoH) data, and presented a simple cost analysis to assist hospitalists in implementing helpful and cost-effective post-discharge interventions.

  3. Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

    Directory of Open Access Journals (Sweden)

    Mehdi Jamei

    Full Text Available Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists. Here, using data from more than 300,000 hospital stays in California from Sutter Health's EHR system, we built and tested an artificial neural network (NN model based on Google's TensorFlow library. Through comparison with other traditional and non-traditional models, we demonstrated that neural networks are great candidates to capture the complexity and interdependency of various data fields in EHRs. LACE, the current industry standard, showed a precision (PPV of 0.20 in identifying high-risk patients in our database. In contrast, our NN model yielded a PPV of 0.24, which is a 20% improvement over LACE. Additionally, we discussed the predictive power of Social Determinants of Health (SDoH data, and presented a simple cost analysis to assist hospitalists in implementing helpful and cost-effective post-discharge interventions.

  4. Necessity is the mother of invention: an innovative hospitalist-resident initiative for improving quality and reducing readmissions from skilled nursing facilities.

    Science.gov (United States)

    Petigara, Sunny; Krishnamurthy, Mahesh; Livert, David

    2017-03-01

    Background : Hospital readmissions have been a major challenge to the US health system. Medicare data shows that approximately 25% of Medicare skilled nursing facility (SNF) residents are readmitted back to the hospital within 30 days. Some of the major reasons for high readmission rates include fragmented information exchange during transitions of care and limited access to physicians round-the-clock in SNFs. These represent safety, quality, and health outcome concerns. Aim : The goal of the project was to reduce hospital readmission rates from SNFs by improving transition of care and increasing physician availability in SNFs (five to seven days a week physical presence with 24/7 accessibility by phone). Methods : We proposed a model whereby a hospitalist-led team, including the resident on the geriatrics rotation, followed patients discharged from the hospital to one SNF. Readmission rates pre- and post-implementation were compared. Study results : The period between January 2014 and June 2014 served as the baseline and showed readmission rate of 32.32% from the SNF back to the hospital. After we implemented the new hospitalist SNF model in June 2014, readmission rates decreased to 23.96% between July 2014 and December 2014. From January 2015 to June 2015, the overall readmission rate from the SNF reduced further to 16.06%. Statistical analysis revealed a post-intervention odds ratio of 0.403 (p < 0.001). Conclusion : The government is piloting several care models that incentivize value- based behavior. Our study strongly suggests that the hospitalist-resident continuity model of following patients to the SNFs can significantly decrease 30-days hospital readmission rates.

  5. Continuity of care and readmission in two service systems : a comparative Victorian and Groningen case-register study

    NARCIS (Netherlands)

    Sytema, S; Burgess, P

    Objective: We compared service consumption, continuity of care and risk of readmission in a record linkage follow-up study of cohorts of patients with schizophrenia and related disorders in Victoria (Australia) and in Groningen (The Netherlands). These areas are interesting to compare because mental

  6. National trends in emergency readmission rates: a longitudinal analysis of administrative data for England between 2006 and 2016

    Science.gov (United States)

    Friebel, Rocco; Hauck, Katharina; Steventon, Adam

    2018-01-01

    Objective To assess trends in 30-day emergency readmission rates across England over one decade. Design Retrospective study design. Setting 150 non-specialist hospital trusts in England. Participants 23 069 134 patients above 18 years of age who were readmitted following an initial admission (n=62 584 297) between April 2006 and February 2016. Primary and secondary outcomes We examined emergency admissions that occurred within 30 days of discharge from hospital (‘emergency readmissions’) as a measure of healthcare quality. Presented are overall readmission rates, and disaggregated by the nature of the indexed admission, including whether it was elective or emergency, and by clinical health condition recorded. All rates were risk-adjusted for patient age, gender, ethnicity, socioeconomic status, comorbidities and length of stay. Results The average risk-adjusted, 30-day readmission rate increased from 6.56% in 2006/2007 to 6.76% (Preadmissions for patients discharged following elective procedures decreased by 0.13% (PReadmission rates for hip or knee replacements decreased (−1.29%; Preadmission rates in England remained relatively stable across the observation period, with trends of slight increases contained post 2012/2013. However, there were large variations in trends across clinical areas, with some experiencing marked increases in readmission rates. This highlights the need to better understand variations in outcomes across clinical subgroups to allow for targeted interventions that will ensure highest standards of care provided for all patients. PMID:29530912

  7. Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.

    Science.gov (United States)

    Jovanovic, Milos; Radovanovic, Sandro; Vukicevic, Milan; Van Poucke, Sven; Delibasic, Boris

    2016-09-01

    Quantification and early identification of unplanned readmission risk have the potential to improve the quality of care during hospitalization and after discharge. However, high dimensionality, sparsity, and class imbalance of electronic health data and the complexity of risk quantification, challenge the development of accurate predictive models. Predictive models require a certain level of interpretability in order to be applicable in real settings and create actionable insights. This paper aims to develop accurate and interpretable predictive models for readmission in a general pediatric patient population, by integrating a data-driven model (sparse logistic regression) and domain knowledge based on the international classification of diseases 9th-revision clinical modification (ICD-9-CM) hierarchy of diseases. Additionally, we propose a way to quantify the interpretability of a model and inspect the stability of alternative solutions. The analysis was conducted on >66,000 pediatric hospital discharge records from California, State Inpatient Databases, Healthcare Cost and Utilization Project between 2009 and 2011. We incorporated domain knowledge based on the ICD-9-CM hierarchy in a data driven, Tree-Lasso regularized logistic regression model, providing the framework for model interpretation. This approach was compared with traditional Lasso logistic regression resulting in models that are easier to interpret by fewer high-level diagnoses, with comparable prediction accuracy. The results revealed that the use of a Tree-Lasso model was as competitive in terms of accuracy (measured by area under the receiver operating characteristic curve-AUC) as the traditional Lasso logistic regression, but integration with the ICD-9-CM hierarchy of diseases provided more interpretable models in terms of high-level diagnoses. Additionally, interpretations of models are in accordance with existing medical understanding of pediatric readmission. Best performing models have

  8. Quality differences between private for-profit, private non-profit and public hospitals in Norway: a retrospective national register-based study of acute readmission rates following total hip and knee arthroplasties.

    Science.gov (United States)

    Holom, Geir Hiller; Hagen, Terje P

    2017-08-18

    To compare the quality of care-using unplanned acute hospital readmissions as a quality measure-among patients treated at private for-profit hospitals (PFPs), private non-profit hospitals (PNPs) and public hospitals (PUBs) in Norway. A retrospective comparative study using the Norwegian Patient Register. Readmissions were evaluated by logistic regressions both using adjustment for various patient-level and other covariates, and a two-stage model using distance as an instrumental variable. The Norwegian healthcare system. All publicly financed patients having primary total hip (37 897 patients) or primary total knee arthroplasty (25 802 patients) at one of the three hospital types from 2009 to 2014. 30-day unplanned acute hospital readmission rate. We found highest readmission rates among PUBs and lowest among PFPs, for both procedures. However, the patients were on average more than 2 years younger at PFPs. PFPs also treated the least severe patients, while PUBs treated the most severe. Using adjustment for various patient-level and other covariates, compared to PUBs, both PFPs and PNPs had lower odds of readmission following both procedures. However, using the instrumental variable method, the only significant difference found was a lower odds of readmission at PNPs among hip patients when compared with PUBs. No patients in our data set were readmitted to PFPs, those originally treated at PFPs were readmitted to either PNPs or PUBs, and PUBs received most of the readmitted patients across hospital types. Quality differences between hospital types were small; however, PNPs had significantly lower readmission rates compared with PUBs among patients having total hip arthroplasty. PUBs received the larger part of the readmitted patients across hospital types and thus play an essential role in the care of more complex patients and for readmissions, regardless of any quality differences. © Article author(s) (or their employer(s) unless otherwise stated in the

  9. Using decision trees to manage hospital readmission risk for acute myocardial infarction, heart failure, and pneumonia.

    Science.gov (United States)

    Hilbert, John P; Zasadil, Scott; Keyser, Donna J; Peele, Pamela B

    2014-12-01

    To improve healthcare quality and reduce costs, the Affordable Care Act places hospitals at financial risk for excessive readmissions associated with acute myocardial infarction (AMI), heart failure (HF), and pneumonia (PN). Although predictive analytics is increasingly looked to as a means for measuring, comparing, and managing this risk, many modeling tools require data inputs that are not readily available and/or additional resources to yield actionable information. This article demonstrates how hospitals and clinicians can use their own structured discharge data to create decision trees that produce highly transparent, clinically relevant decision rules for better managing readmission risk associated with AMI, HF, and PN. For illustrative purposes, basic decision trees are trained and tested using publically available data from the California State Inpatient Databases and an open-source statistical package. As expected, these simple models perform less well than other more sophisticated tools, with areas under the receiver operating characteristic (ROC) curve (or AUC) of 0.612, 0.583, and 0.650, respectively, but achieve a lift of at least 1.5 or greater for higher-risk patients with any of the three conditions. More importantly, they are shown to offer substantial advantages in terms of transparency and interpretability, comprehensiveness, and adaptability. By enabling hospitals and clinicians to identify important factors associated with readmissions, target subgroups of patients at both high and low risk, and design and implement interventions that are appropriate to the risk levels observed, decision trees serve as an ideal application for addressing the challenge of reducing hospital readmissions.

  10. Oropharyngeal dysphagia is a risk factor for readmission for pneumonia in the very elderly persons: observational prospective study.

    Science.gov (United States)

    Cabré, Mateu; Serra-Prat, Mateu; Force, Ll; Almirall, Jordi; Palomera, Elisabet; Clavé, Pere

    2014-03-01

    To determine whether oropharyngeal dysphagia is a risk factor for readmission for pneumonia in elderly persons discharged from an acute geriatric unit. Observational prospective cohort study with data collection based on clinical databases and electronic clinical notes. All elderly individuals discharged from an acute geriatric unit from June 2002 to December 2009 were recruited and followed until death or December 31, 2010. All individuals were initially classified according to the presence of oropharyngeal dysphagia assessed by bedside clinical examination. Main outcome measure was readmission for pneumonia. Clinical notes were reviewed by an expert clinician to verify diagnosis and classify pneumonia as aspiration or nonaspiration pneumonia. A total of 2,359 patients (61.9% women, mean age 84.9 y) were recruited and followed for a mean of 24 months. Dysphagia was diagnosed in 47.5% of cases. Overall, 7.9% of individuals were readmitted for pneumonia during follow-up, 24.2% of these had aspiration pneumonia. The incidence rate of hospital readmission for pneumonia was 3.67 readmissions per 100 person-years (95% CI 3.0-4.4) in individuals without dysphagia and 6.7 (5.5-7.8) in those with dysphagia, with an attributable risk of 3.02 readmissions per 100 person-years (1.66-4.38) and a rate ratio of 1.82 (1.41-2.36). Multivariate Cox regression showed an independent effect of oropharyngeal dysphagia, with a hazard ratio of 1.6 (1.15-2.2) for hospitalization for pneumonia, 4.48 (2.01-10.0) for aspiration pneumonia, and 1.44 (1.02-2.03) for nonaspiration pneumonia. Oropharyngeal dysphagia is a very prevalent and relevant risk factor associated with hospital readmission for both aspiration and nonaspiration pneumonia in the very elderly persons.

  11. Admissions and Readmissions Related to Adverse Events, 2007-2014

    Science.gov (United States)

    2015-12-01

    DRG is a classification system primarily used for billing purposes. It uses the principle and secondary diagnoses to assign clinical conditions to...This study assessed adverse events as they relate to readmissions in the Military Health System (MHS). Among 142,579 admissions with an adverse event...The following study retrospectively assessed admissions and readmissions for adverse events in the Military Health System (MHS) by quantifying

  12. Using a modification of the Clavien-Dindo system accounting for readmissions and multiple interventions: defining quality for pancreaticoduodenectomy.

    Science.gov (United States)

    Baker, Marshall S; Sherman, Karen L; Stocker, Susan J; Hayman, Amanda V; Bentrem, David J; Prinz, Richard A; Talamonti, Mark S

    2014-09-01

    The Clavien-Dindo system (CD) does not change the grade assigned a complication when multiple readmissions or interventions are required to manage a complication. We apply a modification of CD accounting for readmissions and interventions to pancreaticoduodenectomy (PD). PDs done between 1999 and 2009 were reviewed. CD grade IIIa complications requiring more than one intervention and II and IIIa complications requiring significantly prolonged lengths of stay including all 90-day readmissions were classified severe-adverse-postoperative-outcomes (SAPO). CD IIIb, IV, and V complications were also classified SAPOs. All other complications were considered minor-adverse-postoperative-outcomes (MAPO). Four-hundred forty three of 490 PD patients (90.4%) had either no complication or a complication of low to moderate CD grade (I, II, IIIa). When reclassified by the new metric, 92 patient-outcomes (19%) were upgraded from CD II or IIIa to SAPO. One-hundred thirty nine patients (28.4%) had a SAPO. Multivariable regression identified age >75 years, pylorus preservation and operative blood loss >1,500 ml as predictors of SAPO. Age was not associated with poor outcome using the unmodified CD system. Established systems may under-grade the severity of some complications following PD. We define a procedure-specific modification of CD accounting for readmissions and multiple interventions. Using this modification, advanced age, pylorus preservation, and significant blood loss are associated with poor outcome. © 2014 Wiley Periodicals, Inc.

  13. Early discharge care with ongoing follow-up support may reduce hospital readmissions in COPD

    Directory of Open Access Journals (Sweden)

    Maria Lawlor

    2008-10-01

    Full Text Available Maria Lawlor1, Sinead Kealy1, Michelle Agnew1, Bettina Korn1, Jennifer Quinn1, Ciara Cassidy1, Bernard Silke2, Finbarr O’Connell1, Rory O’Donnell11Department of Respiratory Medicine, CResT Directorate, St. James’ Hospital, Dublin 8, Ireland; 2Department of General Internal Medicine, Gems Directorate, St. James’ Hospital, Dublin 8, IrelandBackground: Early discharge care and self-management education, although effective in the management of chronic obstructive pulmonary disease (COPD, do not typically reduce hospital re-admission rates for exacerbations of the disease. We hypothesized that a respiratory outreach programme that comprises early discharge care followed by continued rapid-access out-patient support would reduce the need for hospital readmission in these patients.Methods: Two hundred and forty-six patients, acutely admitted with exacerbations of COPD, were recruited to the respiratory outreach programme that included early discharge care, followup education, telephone support and rapid future access to respiratory out-patient clinics. Sixty of these patients received self-management education also. Emergency department presentations and admission rates were compared at six and 12 months after, compared to prior to, participation in the programme for the same patient cohort.Results: The frequency of both emergency department presentations and hospital admissions was significantly reduced after participation in the programme.Conclusions: Provision of a respiratory outreach service that includes early discharge care, followed by education, telephone support and ongoing rapid access to out-patient clinics is associated with reduced readmission rates in COPD patients.Keywords: COPD management outreach, follow-up, out-patient clinics

  14. Comparative outcomes of β-lactam antibiotics in outpatient parenteral antibiotic therapy: treatment success, readmissions and antibiotic switches.

    Science.gov (United States)

    Lee, Boeun; Tam, Idy; Weigel, Bernard; Breeze, Janis L; Paulus, Jessica K; Nelson, Jason; Allison, Genève M

    2015-08-01

    β-Lactam antibiotics are commonly used in outpatient parenteral antimicrobial therapy (OPAT), but data regarding outcomes of long-term therapy are limited. The purpose of this study was to compare treatment success, readmission and antibiotic switch rates in patients treated with β-lactam antibiotics as OPAT. We carried out a retrospective review of all patients, discharged from Tufts Medical Center with cefazolin, ceftriaxone, ertapenem or oxacillin, between January 2009 and June 2013. A competing risks analysis was used to compare the cumulative incidence of first occurrence of treatment success, antibiotic switch and 30 day readmission for each drug. Four hundred patients were identified (cefazolin n = 38, ceftriaxone n = 104, ertapenem n = 128 and oxacillin n = 130). Baseline demographics were similar. Treatment success rates were higher for ceftriaxone and ertapenem (cefazolin 61%, ceftriaxone 81%, ertapenem 73% and oxacillin 58%; P antibiotic switches were accomplished without readmission. Adverse drug events (ADEs) were the most common reason for outpatient antibiotic switches (31/37, 84%). The ADE rate was higher for the oxacillin group (cefazolin 2.0 versus ceftriaxone 1.5 versus ertapenem 2.9 versus oxacillin 8.4 per 1000 OPAT days; P antibiotics is effective, but antibiotic switches for adverse events were more frequent with oxacillin use. Clinicians should be cognizant of the risk of readmissions and ADEs in OPAT patients, as the value of OPAT lies in reducing patient morbidity and readmissions by managing ADEs and preventing clinical failures. © The Author 2015. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  15. Adverse events and readmissions after day-case urological surgery

    Directory of Open Access Journals (Sweden)

    Alvaro Paez

    2007-06-01

    Full Text Available OBJECTIVE: The literature lacks of studies on postoperative outcomes after urological ambulatory surgery. Our study aims to identify parameters associated with postoperative complications within 30 days after ambulatory urological surgery. MATERIALS AND METHODS: Adjusted and unadjusted comparisons between clinical features and postoperative outcome (complicated and uncomplicated. RESULTS: Postoperative course was complicated in 5% of the patients. Discharge schedule was not completed in 1.1% while unplanned visits resulted in admission in 0.5%. Multivariate analyses could only confirm the independent effect of type of anesthesia and diagnosis-related group (DRG relative weight. CONCLUSIONS: Ambulatory urological surgery can be safe in terms of postoperative complications. In the present study surgery under general anesthesia, or a higher DRG relative weight procedure, increased the risk of complications compared to surgery under regional or local anesthesia or lower DRG relative weight operations. Patients scheduled for general anesthesia or undergoing complex urological procedures should be warned about an increased risk of postoperative incidents and/or readmission.

  16. Substance abuse and gender differences in first episode psychosis: Impact on hospital readmissions.

    Science.gov (United States)

    Crosas, Josep M; Cobo, Jesus; Ahuir, Maribel; Hernández, Carla; García, Rebeca; Pousa, Esther; Oliva, Joan-Carles; Monreal, José-Antonio; Palao, Diego J

    There have been controversial results in the study of gender differences in first episode psychosis (FEP). Substance abuse is the main existing comorbidity in FEP, and has been associated with worse prognosis and greater symptom severity. To explore gender differences in FEP in relation to drug abuse, and their relationship with hospital readmissions. Descriptive and prospective study (18 months). We included 141 patients (31.2% women), aged 26.1 years on average, mostly diagnosed with schizophreniform disorder (32.6%). A percentage of 58.9 had problematic use of drugs. Gender significant differences were found in age of onset, age at entry to the programme, marital status and cohabitation, and percentage differences were revealed in current drug abuse and frequency of consumption. Gender, duration of untreated psychosis, psychiatric history, age of onset and previous drug use were not predictors of re-entry. Hospital readmission rate was 24.8%, with no gender differences. The most common reasons for admission were abandonment of treatment (66.7%) and drug abuse (44.4%). Drug abuse was higher in the men than in the women as a reason for re-admission. There are gender differences in FEP. Men have an earlier onset of symptoms and have worse functional outcomes. Drug abuse in men is higher and represents a major cause of hospital readmission. Therapeutic interventions to prevent the effects of drug abuse are necessary from the early stages of the illness. Copyright © 2017 SEP y SEPB. Publicado por Elsevier España, S.L.U. All rights reserved.

  17. Predicting 30-Day Readmissions in an Asian Population: Building a Predictive Model by Incorporating Markers of Hospitalization Severity.

    Directory of Open Access Journals (Sweden)

    Lian Leng Low

    Full Text Available To reduce readmissions, it may be cost-effective to consider risk stratification, with targeting intervention programs to patients at high risk of readmissions. In this study, we aimed to derive and validate a prediction model including several novel markers of hospitalization severity, and compare the model with the LACE index (Length of stay, Acuity of admission, Charlson comorbidity index, Emergency department visits in past 6 months, an established risk stratification tool.This was a retrospective cohort study of all patients ≥ 21 years of age, who were admitted to a tertiary hospital in Singapore from January 1, 2013 through May 31, 2015. Data were extracted from the hospital's electronic health records. The outcome was defined as unplanned readmissions within 30 days of discharge from the index hospitalization. Candidate predictive variables were broadly grouped into five categories: Patient demographics, social determinants of health, past healthcare utilization, medical comorbidities, and markers of hospitalization severity. Multivariable logistic regression was used to predict the outcome, and receiver operating characteristic analysis was performed to compare our model with the LACE index.74,102 cases were enrolled for analysis. Of these, 11,492 patient cases (15.5% were readmitted within 30 days of discharge. A total of fifteen predictive variables were strongly associated with the risk of 30-day readmissions, including number of emergency department visits in the past 6 months, Charlson Comorbidity Index, markers of hospitalization severity such as 'requiring inpatient dialysis during index admission, and 'treatment with intravenous furosemide 40 milligrams or more' during index admission. Our predictive model outperformed the LACE index by achieving larger area under the curve values: 0.78 (95% confidence interval [CI]: 0.77-0.79 versus 0.70 (95% CI: 0.69-0.71.Several factors are important for the risk of 30-day readmissions

  18. Evaluation of hospital outcomes: the relation between length-of-stay, readmission, and mortality in a large international administrative database.

    Science.gov (United States)

    Lingsma, Hester F; Bottle, Alex; Middleton, Steve; Kievit, Job; Steyerberg, Ewout W; Marang-van de Mheen, Perla J

    2018-02-14

    Hospital mortality, readmission and length of stay (LOS) are commonly used measures for quality of care. We aimed to disentangle the correlations between these interrelated measures and propose a new way of combining them to evaluate the quality of hospital care. We analyzed administrative data from the Global Comparators Project from 26 hospitals on patients discharged between 2007 and 2012. We correlated standardized and risk-adjusted hospital outcomes on mortality, readmission and long LOS. We constructed a composite measure with 5 levels, based on literature review and expert advice, from survival without readmission and normal LOS (best) to mortality (worst outcome). This composite measure was analyzed using ordinal regression, to obtain a standardized outcome measure to compare hospitals. Overall, we observed a 3.1% mortality rate, 7.8% readmission rate (in survivors) and 20.8% long LOS rate among 4,327,105 admissions. Mortality and LOS were correlated at the patient and the hospital level. A patient in the upper quartile LOS had higher odds of mortality (odds ratio = 1.45, 95% confidence interval 1.43-1.47) than those in the lowest quartile. Hospitals with a high standardized mortality had higher proportions of long LOS (r = 0.79, p < 0.01). Readmission rates did not correlate with either mortality or long LOS rates. The interquartile range of the standardized ordinal composite outcome was 74-117. The composite outcome had similar or better reliability in ranking hospitals than individual outcomes. Correlations between different outcome measures are complex and differ between hospital- and patient-level. The proposed composite measure combines three outcomes in an ordinal fashion for a more comprehensive and reliable view of hospital performance than its component indicators.

  19. The HOSPITAL score and LACE index as predictors of 30 day readmission in a retrospective study at a university-affiliated community hospital

    Directory of Open Access Journals (Sweden)

    Robert Robinson

    2017-03-01

    Full Text Available Introduction Hospital readmissions are common, expensive, and a key target of the Medicare Value Based Purchasing (VBP program. Validated risk assessment tools such as the HOSPITAL score and LACE index have been developed to identify patients at high risk of hospital readmission so they can be targeted for interventions aimed at reducing the rate of readmission. This study aims to evaluate the utility of HOSPITAL score and LACE index for predicting hospital readmission within 30 days in a moderate-sized university affiliated hospital in the midwestern United States. Materials and Methods All adult medical patients who underwent one or more ICD-10 defined procedures discharged from the SIU-SOM Hospitalist service from Memorial Medical Center (MMC from October 15, 2015 to March 16, 2016, were studied retrospectively to determine if the HOSPITAL score and LACE index were a significant predictors of hospital readmission within 30 days. Results During the study period, 463 discharges were recorded for the hospitalist service. The analysis includes data for the 432 discharges. Patients who died during the hospital stay, were transferred to another hospital, or left against medical advice were excluded. Of these patients, 35 (8% were readmitted to the same hospital within 30 days. A receiver operating characteristic evaluation of the HOSPITAL score for this patient population shows a C statistic of 0.75 (95% CI [0.67–0.83], indicating good discrimination for hospital readmission. The Brier score for the HOSPITAL score in this setting was 0.069, indicating good overall performance. The Hosmer–Lemeshow goodness of fit test shows a χ2 value of 3.71 with a p value of 0.59. A receiver operating characteristic evaluation of the LACE index for this patient population shows a C statistic of 0.58 (95% CI [0.48–0.68], indicating poor discrimination for hospital readmission. The Brier score for the LACE index in this setting was 0.082, indicating good

  20. The quality of hospital work environments and missed nursing care is linked to heart failure readmissions: a cross-sectional study of US hospitals

    Science.gov (United States)

    Carthon, J Margo Brooks; Lasater, Karen B; Sloane, Douglas M; Kutney-Lee, Ann

    2015-01-01

    Introduction Threats to quality and patient safety may exist when necessary nursing care is omitted. Empirical research is needed to determine how missed nursing care is associated with patient outcomes. Aim The aim of this study was to examine the relationship between missed nursing care and hospital readmissions. Methods Cross-sectional examination, using three linked data sources—(1) nurse survey, (2) patient discharge data from three states (California, New Jersey and Pennsylvania) and (3) administrative hospital data— from 2005 to 2006. We explored the incidence of 30-day readmission for 160 930 patients with heart failure in 419 acute care hospitals in the USA. Logistic regression was used to assess the effect of missed care on the odds of readmission, adjusting for patient and hospital characteristics. Results The most frequently missed nursing care activities across all hospitals in our sample included talking to and comforting patients (42.0%), developing and updating care plans (35.8%) and educating patients and families (31.5%). For 4 of the 10 studied care activities, each 10 percentage-point increase in the number of nurses reporting having missed the activity was associated with an increase in the odds of readmission by 2–8% after adjusting for patient and hospital characteristics. However, missed nursing care was no longer a significant predictor of readmission once adjusting for the nurse work environment, except in the case of the delivery of treatments and procedures (OR 1.08, 95% CI 1.02 to 1.14). Conclusions Missed care is an independent predictor of heart failure readmissions. However, once adjusting for the quality of the nurse work environment, this relationship is attenuated. Improvements in nurses’ working conditions may be one strategy to reduce care omissions and improve patient outcomes. PMID:25672342

  1. What Clinical Interventions Have Been Implemented to Prevent or Reduce Postpartum Hypertension Readmissions? A Clin-IQ

    Directory of Open Access Journals (Sweden)

    Sara O'Meara

    2016-08-01

    Full Text Available A literature review was conducted to determine what clinical interventions have been studied and implemented to prevent and/or reduce postpartum hypertension readmissions. Appropriate verbal and printed educational materials should be given to the patient prior to discharge with use of the “teach back” method. Patients and health care providers within the multidisciplinary team should be educated on the warning signs and symptoms of worsening hypertensive disease and when to appropriately involve the obstetrician. The use of text messaging may be useful in preventing hospital readmissions by increasing patient follow-up and compliance and appropriately managing patients in the postpartum period. Treating postpartum patients with furosemide may decrease blood pressure and prevent postpartum hypertension and the need for antihypertensive therapy.

  2. Multidisciplinary intervention reducing readmissions in medical inpatients: a prospective, non-randomized study

    Directory of Open Access Journals (Sweden)

    Torisson G

    2013-09-01

    Full Text Available Gustav Torisson,1 Lennart Minthon,1 Lars Stavenow,2 Elisabet Londos1 1Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, 2Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden Background: The purpose of this study was to examine whether a multidisciplinary intervention targeting drug-related problems, cognitive impairment, and discharge miscommunication could reduce readmissions in a general hospital population. Methods: This prospective, non-randomized intervention study was carried out at the department of general internal medicine at a tertiary university hospital. Two hundred medical inpatients living in the community and aged over 60 years were included. Ninety-nine patients received interventions and 101 received standard care. Control/intervention allocation was determined by geographic selection. Interventions consisted of a comprehensive medication review, improved discharge planning, post-discharge telephone follow-up, and liaison with the patient's general practitioner. The main outcome measures recorded were readmissions and hospital nights 12 months after discharge. Separate analyses were made for 12-month survivors and from an intention-to-treat perspective. Comparative analyses were made between groups as well as within groups over time. Results: After 12 months, survivors in the control group had 125 readmissions in total, compared with 58 in the intervention group (Mann–Whitney U test, P = 0.02. For hospital nights, the numbers were 1,228 and 492, respectively (P = 0.009. Yearly admissions had increased from the previous year in the control group from 77 to 125 (Wilcoxon signed-rank test, P = 0.002 and decreased from 75 to 58 in the intervention group (P = 0.25. From the intention-to-treat perspective, the same general pattern was observed but was not significant (1,827 versus 1,008 hospital nights, Mann–Whitney test, P = 0.054. Conclusion: A multidisciplinary approach

  3. Poor Nutrition Status and Lumbar Spine Fusion Surgery in the Elderly: Readmissions, Complications, and Mortality.

    Science.gov (United States)

    Puvanesarajah, Varun; Jain, Amit; Kebaish, Khaled; Shaffrey, Christopher I; Sciubba, Daniel M; De la Garza-Ramos, Rafael; Khanna, Akhil Jay; Hassanzadeh, Hamid

    2017-07-01

    Retrospective database review. To quantify the medical and surgical risks associated with elective lumbar spine fusion surgery in patients with poor preoperative nutritional status and to assess how nutritional status alters length of stay and readmission rates. There has been recent interest in quantifying the increased risk of complications caused by frailty, an important consideration in elderly patients that is directly related to comorbidity burden. Preoperative nutritional status is an important contributor to both sarcopenia and frailty and is poorly studied in the elderly spine surgery population. The full 100% sample of Medicare data from 2005 to 2012 were utilized to select all patients 65 to 84 years old who underwent elective 1 to 2 level posterior lumbar fusion for degenerative pathology. Patients with diagnoses of poor nutritional status within the 3 months preceding surgery were selected and compared with a control cohort. Outcomes that were assessed included major medical complications, infection, wound dehiscence, and mortality. In addition, readmission rates and length of stay were evaluated. When adjusting for demographics and comorbidities, malnutrition was determined to result in significantly increased odds of both 90-day major medical complications (adjusted odds ratio, OR: 4.24) and 1-year mortality (adjusted OR: 6.16). Multivariate analysis also demonstrated that malnutrition was a significant predictor of increased infection (adjusted OR: 2.27) and wound dehiscence (adjusted OR: 2.52) risk. Length of stay was higher in malnourished patients, though 30-day readmission rates were similar to controls. Malnutrition significantly increases complication and mortality rates, whereas also significantly increasing length of stay. Nutritional supplementation before surgery should be considered to optimize postoperative outcomes in malnourished individuals. 3.

  4. High lung cancer surgical procedure volume is associated with shorter length of stay and lower risks of re-admission and death

    DEFF Research Database (Denmark)

    Møller, Henrik; Riaz, Sharma P; Holmberg, Lars

    2016-01-01

    It is debated whether treating cancer patients in high-volume surgical centres can lead to improvement in outcomes, such as shorter length of hospital stay, decreased frequency and severity of post-operative complications, decreased re-admission, and decreased mortality. The dataset for this anal......It is debated whether treating cancer patients in high-volume surgical centres can lead to improvement in outcomes, such as shorter length of hospital stay, decreased frequency and severity of post-operative complications, decreased re-admission, and decreased mortality. The dataset...... to their geographical population. Higher volume hospitals had shorter length of stay and the odds of re-admission were 15% lower in the highest hospital volume quintile compared with the lowest quintile. Mortality risks were 1% after 30 d and 3% after 90 d. Patients from hospitals in the highest volume quintile had...

  5. Emergency Department Non-Urgent Visits and Hospital Readmissions Are Associated with Different Socio-Economic Variables in Italy.

    Directory of Open Access Journals (Sweden)

    Pamela Barbadoro

    Full Text Available The aim of this paper was to evaluate socio-economic factors associated to poor primary care utilization by studying two specific subjects: the hospital readmission rate, and the use of the Emergency Department (ED for non-urgent visits.The study was carried out by the analysis of administrative database for hospital readmission and with a specific survey for non-urgent ED use.Among the 416,698 sampled admissions, 6.39% (95% CI, 6.32-6.47 of re-admissions have been registered; the distribution shows a high frequency of events in the age 65-84 years group, and in the intermediate care hospitals (51.97%; 95%CI 51.37-52.57. The regression model has shown the significant role played by age, type of structure (geriatric acute care, and deprivation index of the area of residence on the readmission, however, after adjusting for the intensity of primary care, the role of deprivation was no more significant. Non-urgent ED visits accounted for the 12.10%, (95%CI 9.38-15.27 of the total number of respondents to the questionnaire (N = 504. The likelihood of performing a non-urgent ED visit was higher among patients aged <65 years (OR 3.2, 95%CI 1.3-7.8 p = 0.008, while it was lower among those perceiving as urgent their health problem (OR 0.50, 95%CI 0.30-0.90.In the Italian context repeated readmissions and ED utilization are linked to different trajectories, besides the increasing age and comorbidity of patients are the factors that are related to repeated admissions, the self-perceived trust in diagnostic technologies is an important risk factor in determining ED visits. Better use of public national health care service is mandatory, since its correct utilization is associated to increasing equity and better health care utilization.

  6. Effect of an in-hospital multifaceted clinical pharmacist intervention on the risk of readmission a randomized clinical trial

    DEFF Research Database (Denmark)

    Ravn-Nielsen, Lene Vestergaard; Duckert, Marie Louise; Lund, Mia Lolk

    2018-01-01

    IMPORTANCE Hospital readmissions are common among patients receiving multiple medications, with considerable costs to the patients and society. OBJECTIVE To determine whether a multifaceted pharmacist intervention based on medication review, patient interview, and follow-up can reduce the number...... of readmissions and emergency department (ED) visits. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical multicenter study (Odense Pharmacist Trial Investigating Medication Interventions at Sector Transfer [OPTIMIST]) enrolled patients from September 1, 2013, through April 23, 2015, with a follow-up of 6...... days (HR, 0.80; 95% CI, 0.59-1.08) after inclusion and in deaths (HR, 0.83; 95% CI, 0.22-3.11). The number needed to treat to achieve the primary composite outcome for the extended intervention (vs usual care) was 12. CONCLUSIONS AND RELEVANCE A multifaceted clinical pharmacist intervention may reduce...

  7. Variation in readmission and mortality following hospitalisation with a diagnosis of heart failure: prospective cohort study using linked data.

    Science.gov (United States)

    Korda, Rosemary J; Du, Wei; Day, Cathy; Page, Karen; Macdonald, Peter S; Banks, Emily

    2017-03-21

    Hospitalisation for heart failure is common and post-discharge outcomes, including readmission and mortality, are often poor and are poorly understood. The purpose of this study was to examine patient- and hospital-level variation in the risk of 30-day unplanned readmission and mortality following discharge from hospital with a diagnosis of heart failure. Prospective cohort study using data from the Sax Institute's 45 and Up Study, linking baseline survey (Jan 2006-April 2009) to hospital and mortality data (to Dec 2011). Primary outcomes in those admitted to hospital with heart failure included unplanned readmission, mortality and combined unplanned readmission/mortality, within 30 days of discharge. Multilevel models quantified the variation in outcomes between hospitals and examined associations with patient- and hospital-level characteristics. There were 5074 participants with a heart failure admission discharged from 251 hospitals; 1052 (21%) had unplanned readmissions, 186 (3.7%) died, and 1146 (23%) had either/both outcomes within 30 days of discharge. Crude outcomes varied across hospitals, but between-hospital variation explained little of the total variation in outcomes (intraclass correlation coefficients (ICC) after inclusion of patient factors: 30-day unplanned readmission ICC = 0.0125 (p = 0.24); death ICC = 0.0000 (p > 0.99); unplanned readmission/death ICC = 0.0266 (p = 0.07)). Patient characteristics associated with a higher risk of unplanned readmission included: being male (male vs female, adjusted odds ratio (aOR) = 1.18, 95% CI: 1.00-1.37); prior hospitalisation for cardiovascular disease (aOR = 1.44, 1.08-1.91) and for anemia (aOR = 1.36, 1.14-1.63); comorbidities at admission (severe vs none: aOR = 1.26, 1.03-1.54); lower body-mass-index (obese vs normal weight: aOR = 0.77, 0.63-0.94); and lower social interaction scores. Similarly, risk of 30-day mortality was associated with patient- rather than

  8. Risk factors for 30-day unplanned readmission following infrainguinal endovascular interventions

    NARCIS (Netherlands)

    Bodewes, Thomas C F; Soden, Peter A.; Ultee, Klaas H J; Zettervall, Sara L.; Pothof, Alexander B.; Deery, Sarah E.; Moll, Frans L.; Schermerhorn, Marc L.

    2017-01-01

    Objective Unplanned hospital readmissions following surgical interventions are associated with adverse events and contribute to increasing health care costs. Despite numerous studies defining risk factors following lower extremity bypass surgery, evidence regarding readmission after endovascular

  9. Incidence, Prognostic Impact, and Predictive Factors of Readmission for Heart Failure After Transcatheter Aortic Valve Replacement.

    Science.gov (United States)

    Durand, Eric; Doutriaux, Maxime; Bettinger, Nicolas; Tron, Christophe; Fauvel, Charles; Bauer, Fabrice; Dacher, Jean-Nicolas; Bouhzam, Najime; Litzler, Pierre-Yves; Cribier, Alain; Eltchaninoff, Hélène

    2017-12-11

    The aim of this study was to assess the incidence, prognostic impact, and predictive factors of readmission for congestive heart failure (CHF) in patients with severe aortic stenosis treated by transcatheter aortic valve replacement (TAVR). TAVR is indicated in patients with severe symptomatic aortic stenosis in whom surgery is considered high risk or is contraindicated. Readmission for CHF after TAVR remains a challenge, and data on prognostic and predictive factors are lacking. All patients who underwent TAVR from January 2010 to December 2014 were included. Follow-up was achieved for at least 1 year and included clinical and echocardiographic data. Readmission for CHF was analyzed retrospectively. This study included 546 patients, 534 (97.8%) of whom were implanted with balloon-expandable valves preferentially via the transfemoral approach in 87.8% of cases. After 1 year, 285 patients (52.2%) had been readmitted at least once, 132 (24.1%) for CHF. Patients readmitted for CHF had an increased risk for death (p < 0.0001) and cardiac death (p < 0.0001) compared with those not readmitted for CHF. On multivariate analysis, aortic mean gradient (hazard ratio [HR]: 0.88; 95% confidence interval [CI]: 0.79 to 0.99; p = 0.03), post-procedural blood transfusion (HR: 2.27; 95% CI: 1.13 to 5.56; p = 0.009), severe post-procedural pulmonary hypertension (HR: 1.04; 95% CI: 1.00 to 1.07; p < 0.0001), and left atrial diameter (HR: 1.47; 95% CI: 1.08 to 2.01; p = 0.02) were independently associated with CHF readmission at 1 year. Readmission for CHF after TAVR was frequent and was strongly associated with 1-year mortality. Low gradient, persistent pulmonary hypertension, left atrial dilatation, and transfusions were predictive of readmission for CHF. Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  10. Marital status and living condition as predictors of mortality and readmissions among African Americans with heart failure.

    Science.gov (United States)

    Lu, Marvin Louis Roy; Davila, Carlos D; Shah, Mahek; Wheeler, David S; Ziccardi, Mary Rodriguez; Banerji, Sourin; Figueredo, Vincent M

    2016-11-01

    Socioeconomic factors, including social support, may partially explain why African Americans (AA) have the highest prevalence of heart failure and with worse outcomes compared to other races. AA are more likely to be hospitalized and readmitted for heart failure and have higher mortality. The purpose of this study is to determine whether the social factors of marital status and living condition affect readmission rates and all-cause mortality following hospitalization for acute decompensated heart failure (ADHF) in AA patients. Medical records from 611 AA admitted to Einstein Medical Center Philadelphia from January, 2011 to February, 2013 for ADHF were reviewed. Patient demographics including living condition (nursing home residents, living with family or living alone) and marital status (married or non-married -including single, divorced, separated and widowed) were correlated with all-cause mortality and readmission rates. In this cohort (53% male, mean age 65±15, mean ejection fraction 32±16%) 25% (n=152) of subjects were unmarried. Unmarried patients had significantly higher 30-day readmission rates (16% vs. 6% p=0.0002) and higher 1-year mortality (17% vs. 11% p=0.047) compared with married patients. Fifty percent (n=303) of subjects were living with family members, while 40% (n=242) and 11% (n=66) were living alone or in a nursing facility, respectively. Patients living with family members had significantly lower 30-day readmission rates when compared with those living alone or in a nursing facility (7% vs 21% vs. 18% p=vs 32% for nursing facility patients and 17% for those living alone (p=0.0007). After controlling for traditional risk factors (age, gender, body mass index, peak troponin I, left ventricular ejection fraction, B-type natriuretic peptide, hypertension, diabetes mellitus, hyperlipidemia, and coronary artery disease), being married was an indpendent predictor of 1-year mortality (OR 0.50 p=0.019) and living alone for 30-day readmission (OR 2

  11. Spironolactone use and higher hospital readmission for Medicare beneficiaries with heart failure, left ventricular ejection fraction 73 m(2.).

    Science.gov (United States)

    Inampudi, Chakradhari; Parvataneni, Sridivya; Morgan, Charity J; Deedwania, Prakash; Fonarow, Gregg C; Sanders, Paul W; Prabhu, Sumanth D; Butler, Javed; Forman, Daniel E; Aronow, Wilbert S; Allman, Richard M; Ahmed, Ali

    2014-07-01

    Although randomized controlled trials have demonstrated benefits of aldosterone antagonists for patients with heart failure and reduced ejection fraction (HFrEF), they excluded patients with serum creatinine >2.5 mg/dl, and their use is contraindicated in those with advanced chronic kidney disease (CKD). In the present analysis, we examined the association of spironolactone use with readmission in hospitalized Medicare beneficiaries with HFrEF and advanced CKD. Of the 1,140 patients with HFrEF (EF 73 m(2)), 207 received discharge prescriptions for spironolactone. Using propensity scores (PSs) for the receipt of discharge prescriptions for spironolactone, we estimated PS-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for spironolactone-associated outcomes. Patients (mean age 76 years, 49% women, 25% African-American) had mean EF 28%, mean eGFR 31 ml/min/1.73 m(2), and mean potassium 4.5 mEq/L. Spironolactone use had significant PS-adjusted association with higher risk of 30-day (HR 1.41, 95% CI 1.04 to 1.90) and 1-year (HR 1.36, 95% CI 1.13 to 1.63) all-cause readmissions. The risk of 1-year all-cause readmission was higher among 106 patients with eGFR 73 m(2) (HR 4.75, 95% CI 1.84 to 12.28) than among those with eGFR 15 to 45 ml/min/1.73 m(2) (HR 1.34, 95% CI 1.11 to 1.61, p for interaction 0.003). Spironolactone use had no association with HF readmission and all-cause mortality. In conclusion, among hospitalized patients with HFrEF and advanced CKD, spironolactone use was associated with higher all-cause readmission but had no association with all-cause mortality or HF readmission. Copyright © 2014 Elsevier Inc. All rights reserved.

  12. The effect of nurse-led education on hospitalisation, readmission, quality of life and cost in adults with heart failure. A systematic review.

    Science.gov (United States)

    Rice, Helena; Say, Richard; Betihavas, Vasiliki

    2018-03-01

    The purpose of this systematic review was to highlight the effect of nurse-led 1:1 patient education sessions on Quality of Life (QoL), readmission rates and healthcare costs for adults with heart failure (HF) living independently in the community. A systematic review of randomised control trials was undertaken. Using the search terms nurse, education, heart failure, hospitalisation, readmission, rehospitalisation, economic burden, cost, expenditure and quality of life in PubMed, CINAHL and Google Scholar databases were searched. Papers pertaining to nurse-led 1:1 HF disease management of education of adults in the community with a history of HF were reviewed. The results of this review identified nurse-led education sessions for adults with HF contribute to reduction in hospital readmissions, reduction in hospitalisation and a cost benefit. Additionally, higher functioning and improved QoL were also identified. These results suggest that nurse-led patient education for adults with HF improves QoL and reduces hospital admissions and readmissions. Nurse-led education can be delivered utilising diverse methods and impact to reduce readmission as well as hospitalisation. Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.

  13. Excess Readmission vs Excess Penalties: Maximum Readmission Penalties as a Function of Socioeconomics and Geography.

    Science.gov (United States)

    Caracciolo, Chris; Parker, Devin; Marshall, Emily; Brown, Jeremiah

    2017-08-01

    The Hospital Readmission Reduction Program (HRRP) penalizes hospitals with "excess" readmissions up to 3% of Medicare reimbursement. Approximately 75% of eligible hospitals received penalties, worth an estimated $428 million, in fiscal year 2015. To identify demographic and socioeconomic disparities between matched and localized maximum-penalty and no-penalty hospitals. A case-control study in which cases included were hospitals to receive the maximum 3% penalty under the HRRP during the 2015 fiscal year. Controls were drawn from no-penalty hospitals and matched to cases by hospital characteristics (primary analysis) or geographic proximity (secondary analysis). A selectiion of 3383 US hospitals eligible for HRRP. Thirty-nine case and 39 control hospitals from the HRRP cohort. Socioeconomic status variables were collected by the American Community Survey. Hospital and health system characteristics were drawn from Centers for Medicare and Medicaid Services, American Hospital Association, and Dartmouth Atlas of Health Care. The statistical analysis was conducted using Student t tests. Thirty-nine hospitals received a maximum penalty. Relative to controls, maximum-penalty hospitals in counties with lower SES profiles are defined by increased poverty rates (19.1% vs 15.5%, = 0.015) and lower rates of high school graduation (82.2% vs 87.5%, = 0.001). County level age, sex, and ethnicity distributions were similar between cohorts. Cases were more likely than controls to be in counties with low socioeconomic status; highlighting potential unintended consequences of national benchmarks for phenomena underpinned by environmental factors; specifically, whether maximum penalties under the HRRP are a consequence of underperforming hospitals or a manifestation of underserved communities. © 2017 Society of Hospital Medicine

  14. Examining the Relationship Between Perceived Quality of Care and Actual Quality of Care as Measured by 30-Day Readmission Rates.

    Science.gov (United States)

    Salinas, Stanley R

    To test the relationship between patient experience, as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), and actual quality of care, as measured by 30-day readmission rates. Both HCAHPS data and outcome data reported to the Centers of Medicare & Medicaid Services (CMS). This secondary, nationwide (N = 4060), hospital-level study focused only on acute care hospitals. HCAHPS question 22 "Would you recommend this hospital to your friends and family?" was used to determine level of overall satisfaction, and 30-day readmission rates, as reported to the CMS, was used as a proxy for actual quality of care. A statistically significant relationship was found between patient experience and actual quality outcomes. The results of this study reinforce the inclusion of patient experience in Medicare's Value Based Purchasing program as a matter of good public policy.

  15. Clinical factors associated with readmission for postpartum hypertension in women with pregnancy-related hypertension: a nested case control study.

    Science.gov (United States)

    Hirshberg, A; Levine, L D; Srinivas, S K

    2016-05-01

    To evaluate the association between mode of delivery and length of labor on readmission for postpartum hypertension in women with pregnancy-related hypertension. Nested case control study within a cohort of 99 women with pregnancy-related hypertension who delivered at our institution between 2005 and 2009. Data were abstracted for clinical and labor information. Mode of delivery and length of labor were compared between women with previously diagnosed pregnancy-related hypertension readmitted within 4 weeks post partum (25 cases) and those not readmitted (74 controls). Categorical and continuous variables were compared using χ(2) and T-tests, respectively. Multivariable logistic regression controlled for confounders. Hypertension readmission was not associated with mode of delivery (cases: 10(40%) spontaneous vaginal delivery, 15(60%) cesarean delivery; controls: 38(51%) spontaneous vaginal delivery, 36(49%) cesarean delivery, P=0.33). Length of labor appeared longer in cases, with a trend toward significance (median: 15.5 [7,28] h vs 10.75 [5.8,15.9] h, P=0.12) and was significantly associated with readmission after controlling for delivery mode, induction and parity (adjusted odds ratio=1.06 [1 to 1.12], P=0.048). Readmitted patients were less likely to have initially been started on antihypertensive medications after controlling for age, race and chronic hypertension (adjusted odds ratio=0.23 [0.06 to 0.88], P=0.03). Postpartum readmission for hypertension in women with known pregnancy-related hypertension is not associated with mode of delivery, appears increased in those with longer length of labor and decreased in those initially started on antihypertensive medications. This provides targets for future research to continue to improve transitions of care and reduce preventable readmissions.

  16. Reducing 30-Day Readmission Rates in a High-Risk Population Using a Lay-Health Worker Model in Appalachia Kentucky

    Science.gov (United States)

    Cardarelli, Roberto; Horsley, Mary; Ray, Lisa; Maggard, Nancy; Schilling, Jennifer; Weatherford, Sarah; Feltner, Fran; Gilliam, Kayla

    2018-01-01

    This exploratory study aimed to address the effectiveness of a lay-health worker (LHW) model in addressing social needs and readmissions of high-risk patients admitted in a rural community hospital. A quasi-experimental study design assessed implementation of a LHW model for assisting high-risk patients with their post-discharge social needs.…

  17. Hospital Readmissions in Diabetic Kidney Transplant Recipients with Peripheral Vascular Disease.

    Science.gov (United States)

    Lubetzky, Michelle; Kamal, Layla; Ajaimy, Maria; Akalin, Enver; Kayler, Liise

    2018-04-28

    The benefits of kidney transplantation in diabetic patients with peripheral vascular disease (PVD) are unclear. While patients may have improved survival compared to dialysis, the burden of care after transplant has not been assessed. We performed a retrospective review of adult diabetic kidney-only transplant recipients with and without PVD transplanted from January 2012 until June 30, 2015. Of 203 diabetic kidney transplant recipients, 56 (27.6%) had PVD and 147 (72.4%) had no PVD. At a median of 3.14 years follow up there were no significant differences in 30-, 90-, or 1-year readmission rates. At 1 year after transplant, PVD patients were significantly more likely to have a greater sum of unplanned inpatient days (44.6% versus 27.9% with ≥10 inpatient days, p=0.03) and at least one reoperation (28.6% vs. 8.7%, pPVD had significantly increased rates of non-graft related operations of which 31.2% were PVD related. Diabetic patients with PVD utilize more resources after kidney transplant, spending more time in the hospital and undergoing more post-transplant operations. The causes of readmission are predominantly related to progression of PVD rather than allograft complications. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

  18. Patterns and determinants of acute psychiatric readmissions | Behr ...

    African Journals Online (AJOL)

    Patterns and determinants of acute psychiatric readmissions. Graham Michael Behr, Cathy Christie, Neil Soderlund, Tennyson Lee. Abstract. Objectives. Deinstitutionalisation and shortage of psychiatric beds worldwide has led to extensive research into the risk factors and interventions associated with rapid and recurrent ...

  19. Aftercare, Emergency Department Visits, and Readmission in Adolescents

    Science.gov (United States)

    Carlisle, Corine E.; Mamdani, Muhammad; Schachar, Russell; To, Teresa

    2012-01-01

    Objective: U.S. and Canadian data demonstrate decreasing inpatient days, increasing nonurgent emergency department (ED) visits, and short supply of child psychiatrists. Our study aims to determine whether aftercare reduces ED visits and/or readmission in adolescents with first psychiatric hospitalization. Method: We conducted a population-based…

  20. In-hospital mortality, 30-day readmission, and length of hospital stay after surgery for primary colorectal cancer: A national population-based study.

    Science.gov (United States)

    Pucciarelli, S; Zorzi, M; Gennaro, N; Gagliardi, G; Restivo, A; Saugo, M; Barina, A; Rugge, M; Zuin, M; Maretto, I; Nitti, D

    2017-07-01

    The simultaneous assessment of multiple indicators for quality of care is essential for comparisons of performance between hospitals and health care systems. The aim of this study was to assess the rates of in-hospital mortality and 30-day readmission and length of hospital stay (LOS) in patients who underwent surgical procedures for colorectal cancer between 2005 and 2014 in Italy. All patients in the National Italian Hospital Discharge Dataset who underwent a surgical procedure for colorectal cancer during the study period were included. The adjusted odd ratios for risk factors for in-hospital mortality, 30-day readmission, and LOS were calculated using multilevel multivariable logistic regression. Among the 353 941 patients, rates of in-hospital mortality and 30-day readmission were 2.5% and 6%, respectively, and the median LOS was 13 days. High comorbidity, emergent/urgent admission, male gender, creation of a stoma, and an open approach increased the risks of all the outcomes at multivariable analysis. Age, hospital volume, hospital geographic location, and discharge to home/non-home produced different effects depending on the outcome considered. The most frequent causes of readmission were infection (19%) and bowel obstruction (14.6%). We assessed national averages for mortality, LOS and readmission and related trends over a 10-year time. Laparoscopic surgery was the only one that could be modified by improving surgical education. Higher hospital volume was associated with a LOS reduction, but our findings only partially support a policy of centralization for colorectal cancer procedures. Surgical site infection was identified as the most preventable cause of readmission. Copyright © 2017 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

  1. Effect of Pharmacy-Supported Transition-of-Care Interventions on 30-Day Readmissions: A Systematic Review and Meta-analysis.

    Science.gov (United States)

    Rodrigues, Claire R; Harrington, Amanda R; Murdock, Nicole; Holmes, John T; Borzadek, Eliza Z; Calabro, Kristin; Martin, Jennifer; Slack, Marion K

    2017-10-01

    To describe pharmacy-supported transition-of-care (TOC) interventions and determine their effect on 30-day all-cause readmissions. MEDLINE/PubMed, EMBASE, International Pharmaceutical Abstracts, ABI Inform Complete, PsychINFO, Web of Science, Academic Search Complete, CINHAL, Cochrane library, OIASTER, ProQuest Dissertations & Theses, ClinicalTrials.gov , and relevant websites were searched from January 1, 1995, to December 31, 2015. PICOS+E criteria were utilized. Eligible studies reported pharmacy-supported TOC interventions compared with usual care in adult patients discharged to home within the United States. Studies were required to evaluate postdischarge outcomes (eg, rate of readmissions, hospital utilization). Randomized controlled trials, cohort studies, or controlled before-and-after studies were included. Two reviewers independently extracted data and evaluated study quality. A total of 56 articles were included in the systematic review (n = 61 858), of which 32 reported 30-day all-cause readmissions and were included in the meta-analysis. A taxonomy was developed to categorize targeted patients, intervention types, and pharmacy personnel as sole intervener. The meta-analysis demonstrated about a 32% reduction in the odds of readmission (odds ratio [OR] = 0.68; 95% CI = 0.61 to 0.75) observed for pharmacy-supported TOC interventions compared with usual care. Heterogeneity was identified ( I 2 = 55%; P < 0.001). A stratified meta-analysis showed that interventions with patient-centered follow-up reduced 30-day readmissions relative to studies without follow-up (OR = 0.70; CI = 0.63 to 0.78). Pharmacy-supported TOC programs were associated with a significant reduction in the odds of 30-day readmissions.

  2. Early hospital readmission for gastrointestinal-related complications predicts long-term mortality after pancreatectomy.

    Science.gov (United States)

    Hicks, Caitlin W; Tosoian, Jeffrey J; Craig-Schapiro, Rebecca; Valero, Vicente; Cameron, John L; Eckhauser, Frederic E; Hirose, Kenzo; Makary, Martin A; Pawlik, Timothy M; Ahuja, Nita; Weiss, Matthew J; Wolfgang, Christopher L

    2015-10-01

    The purpose of this study was to investigate the prognostic significance of early (30-day) hospital readmission (EHR) on mortality after pancreatectomy. Using a prospectively collected institutional database linked with a statewide dataset, we evaluated the association between EHR and overall mortality in all patients undergoing pancreatectomy at our tertiary institution (2005 to 2010). Of 595 pancreatectomy patients, EHR occurred in 21.5%. Overall mortality was 29.4% (median follow-up 22.7 months). Patients with EHR had decreased survival compared with those who were not readmitted (P = .011). On multivariate analysis adjusting for baseline group differences, EHR for gastrointestinal-related complications was a significant independent predictor of mortality (hazard ratio 2.30, P = .001). In addition to known risk factors, 30-day readmission for gastrointestinal-related complications following pancreatectomy independently predicts increased mortality. Additional studies are necessary to identify surgical, medical, and social factors contributing to EHR, as well as interventions aimed at decreasing postpancreatectomy morbidity and mortality. Copyright © 2015 Elsevier Inc. All rights reserved.

  3. Substance abuse and the risk of readmission of people with schizophrenia at Amanuel Psychiatric Hospital, Ethiopia

    Directory of Open Access Journals (Sweden)

    M.S. Bimerew

    2007-09-01

    Full Text Available Frequent readmissions of people with schizophrenia pose considerable pressure on the psychiatric service provision of Amanuel Psychiatric Hospital. The purpose of the study was to ascertain factors mainly contributing to the rate of readmissions of people with schizophrenia. Descriptive survey methods and qualitative focus group interviews were employed to conduct the study. Random sampling techniques were used to select 43 respondents of people with schizophrenia from 231 people with schizophrenia who were readmitted for two or more times in the last two years and who gained access during the time of the study. Structured interviews were used for respondents of people with schizophrenia. Fourteen (N = 14 family members/caregivers were selected using purposive sampling methods for focus group discussions. Quantitative data was analyzed using the SPSS Version 11.00 program and the qualitative data was analyzed by generating themes and categories. The results suggest that alcohol and that abuse were contributing factors for the rate of readmissions of people with schizophrenia into the Amanuel Psychiatric Hospital. It was found that communities contribute to the problems of substance abuse by providing and/or selling it to those mentally ill people. The study also revealed that patients use alcohol and that in order to tolerate the severe side effects of the anti-psychotic drugs, to suppress hunger due to shortage of food and to avoid drowsiness. Raising community awareness, psycho-education, strengthening the capacities of caretakers and laws to prevent substance abuse, as well as campaigning to prevent people from abusing mentally ill sufferers, should be established.

  4. Review of successful hospital readmission reduction strategies and the role of health information exchange.

    Science.gov (United States)

    Kash, Bita A; Baek, Juha; Davis, Elise; Champagne-Langabeer, Tiffany; Langabeer, James R

    2017-08-01

    The United States has invested substantially in technologies that enable health information exchange (HIE), which in turn can be deployed to reduce avoidable hospital readmission rates in many communities. With avoidable hospital readmissions as the primary focus, this study profiles successful hospital readmission rate reduction initiatives that integrate HIE as a strategy. We hypothesized that the use of HIE is associated with decreased hospital readmissions beyond other observed population health benefits. Results of this systematic review are used to describe and profile successful readmission reduction programs that integrate HIE as a tool. A systematic review of literature provided an understanding of the use of HIE as a strategy to reduce hospital readmission rates. We conducted a review of 4,862 citations written in English about readmission reduction strategies from January 2006 to September 2016 in the MEDLINE-PubMed database. Of these, 106 studies reported 30-day readmission rates as an outcome and only 13 articles reported using HIE. Only a very small number (12%) of hospitals incorporated HIE as a primary tool for evidence-based readmission reduction initiatives. Information exchange between providers has been suggested to play a key role in reducing avoidable readmission rates, yet there is not currently evidence supporting current HIE-enabled readmission initiatives. Most successful readmission reduction programs demonstrate collaboration with primary care providers to augment transitions of care to existing care management functions without additional staff while using effective information exchange capabilities. This research confirms there is very little integration of HIE into health systems readmissions initiatives. There is a great opportunity to achieve population health targets using the HIE infrastructure. Hospitals should consider partnering with primary care clinics to implement multifaceted transitions of care programs to significantly

  5. Predictors of readmission in nonagenarians: analysis of the American College of Surgeons National Surgical Quality Improvement Project dataset.

    Science.gov (United States)

    Hothem, Zachary; Baker, Dustin; Jenkins, Christina S; Douglas, Jason; Callahan, Rose E; Shuell, Catherine C; Long, Graham W; Welsh, Robert J

    2017-06-01

    Increased longevity has led to more nonagenarians undergoing elective surgery. Development of predictive models for hospital readmission may identify patients who benefit from preoperative optimization and postoperative transition of care intervention. Our goal was to identify significant predictors of 30-d readmission in nonagenarians undergoing elective surgery. Nonagenarians undergoing elective surgery from January 2011 to December 2012 were identified using the American College of Surgeons National Surgical Quality Improvement Project participant use data files. This population was randomly divided into a 70% derivation cohort for model development and 30% validation cohort. Using multivariate step-down regression, predictive models were developed for 30-d readmission. Of 7092 nonagenarians undergoing elective surgery, 798 (11.3%) were readmitted within 30 d. Factors significant in univariate analysis were used to develop predictive models for 30-d readmissions. Diabetes (odds ratio [OR]: 1.51, 95% confidence interval [CI]: 1.24-1.84), dialysis dependence (OR: 2.97, CI: 1.77-4.99), functional status (OR: 1.52, CI: 1.29-1.79), American Society of Anesthesiologists class II or higher (American Society of Anesthesiologist physical status classification system; OR: 1.80, CI: 1.42-2.28), operative time (OR: 1.05, CI: 1.02-1.08), myocardial infarction (OR: 5.17, CI: 3.38-7.90), organ space surgical site infection (OR: 8.63, CI: 4.04-18.4), wound disruption (OR: 14.3, CI: 4.80-42.9), pneumonia (OR: 8.59, CI: 6.17-12.0), urinary tract infection (OR: 3.88, CI: 3.02-4.99), stroke (OR: 6.37, CI: 3.47-11.7), deep venous thrombosis (OR: 5.96, CI: 3.70-9.60), pulmonary embolism (OR: 20.3, CI: 9.7-42.5), and sepsis (OR: 13.1, CI: 8.57-20.1), septic shock (OR: 43.8, CI: 18.2-105.0), were included in the final model. This model had a c-statistic of 0.73, indicating a fair association of predicted probabilities with observed outcomes. However, when applied to the validation

  6. Thirty-day Readmission Rates and Associated Factors: A Multilevel Analysis of Practice Variations in French Public Psychiatry.

    Science.gov (United States)

    Gandré, Coralie; Gervaix, Jeanne; Thillard, Julien; Macé, Jean-Marc; Roelandt, Jean-Luc; Chevreul, Karine

    2018-03-01

    Inpatient psychiatric readmissions are often used as an indicator of the quality of care and their reduction is in line with international recommendations for mental health care. Research on variations in inpatient readmission rates among mental health care providers is therefore of key importance as these variations can impact equity, quality and efficiency of care when they do not result from differences in patients' needs. Our objectives were first to describe variations in inpatient readmission rates between public mental health care providers in France on a nationwide scale, and second, to identify their association with patient, health care providers and environment characteristics. We carried out a study for the year 2012 using data from ten administrative national databases. 30-day readmissions in inpatient care were identified in the French national psychiatric discharge database. Variations were described numerically and graphically between French psychiatric sectors and factors associated with these variations were identified by carrying out a multi-level logistic regression accounting for the hierarchical structure of the data. Significant practice variations in 30-day inpatient readmission rates were observed with a coefficient of variation above 50%. While a majority of those variations was related to differences within sectors, individual patient characteristics explained a lower part of the variations resulting from differences between sectors than the characteristics of sectors and of their environment. In particular, an increase in the mortality rate and in the acute admission rate for somatic disorders in sectors' catchment area was associated with a decrease in the probability of 30-day readmission. Similarly, an increase in the number of psychiatric inpatient beds in private for-profit hospitals per 1,000 inhabitants in sectors' catchment area was associated with a decrease in this probability, which also varied with overall sectors' case

  7. Postpartum follow-up: can psychosocial support reduce newborn readmissions?

    Science.gov (United States)

    Barilla, Dora; Marshak, Helen Hopp; Anderson, S Eric; Hopp, Joyce W

    2010-01-01

    To determine whether there was a relationship between postpartum psychosocial support from healthcare providers and the rate of normal newborn readmissions (NNRs), and whether there was a cost benefit to justify an intervention. Data were abstracted for all normal newborn births from 1999 to 2006 (N = 14,786) at a community hospital in southern California at three different time periods: (1) at baseline prior to any intervention (1999-2000), (2) the 4 years during the comprehensive psychosocial support intervention (2001-2004), and (3) the 2 years during a limited psychosocial support intervention (2004-2006). A cost-benefit analysis was performed to analyze whether the financial benefits from the intervention matched or exceeded the costs for NNRs. There was a significantly lower readmission rate of 1.0% (p = < .001) during the comprehensive intervention time period compared to baseline (2.3%) or to the limited intervention time period (2.3%). Although there was no significa