Literature DB >> 26368317

Patient Characteristics and Differences in Hospital Readmission Rates.

Michael L Barnett1, John Hsu2, J Michael McWilliams1.   

Abstract

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, SETTING, AND PARTICIPANTS: Using survey data from the nationally representative Health and Retirement Study (HRS) and linked Medicare claims for HRS participants enrolled in Medicare who were hospitalized from 2009 to 2012 (n = 8067 admissions), 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. 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 ≤ .04 for all comparisons). 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 standard adjustments used by Medicare to 2.29 percentage points after adjustment for all patient characteristics assessed (reduction in difference: -2.12; 95% CI, -3.33 to -0.67; P = .003). CONCLUSIONS AND RELEVANCE: Patient characteristics not included in Medicare's current risk-adjustment methods explained much of the difference in readmission risk between patients admitted to hospitals with higher vs lower readmission rates. Hospitals with high readmission rates may be penalized to a large extent based on the patients they serve.

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Year:  2015        PMID: 26368317      PMCID: PMC4991542          DOI: 10.1001/jamainternmed.2015.4660

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  18 in total

1.  Functional impairment and hospital readmission in Medicare seniors.

Authors:  S Ryan Greysen; Irena Stijacic Cenzer; Andrew D Auerbach; Kenneth E Covinsky
Journal:  JAMA Intern Med       Date:  2015-04       Impact factor: 21.873

2.  A path forward on Medicare readmissions.

Authors:  Karen E Joynt; Ashish K Jha
Journal:  N Engl J Med       Date:  2013-03-06       Impact factor: 91.245

3.  Quality reporting that addresses disparities in health care.

Authors:  Ashish K Jha; Alan M Zaslavsky
Journal:  JAMA       Date:  2014-07-16       Impact factor: 56.272

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

Authors:  Qian Gu; Lane Koenig; Jennifer Faerberg; Caroline Rossi Steinberg; Christopher Vaz; Mary P Wheatley
Journal:  Health Serv Res       Date:  2014-01-13       Impact factor: 3.402

5.  Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission.

Authors:  Leora I Horwitz; Chohreh Partovian; Zhenqiu Lin; Jacqueline N Grady; Jeph Herrin; Mitchell Conover; Julia Montague; Chloe Dillaway; Kathleen Bartczak; Lisa G Suter; Joseph S Ross; Susannah M Bernheim; Harlan M Krumholz; Elizabeth E Drye
Journal:  Ann Intern Med       Date:  2014-11-18       Impact factor: 25.391

6.  Considering the role of socioeconomic status in hospital outcomes measures.

Authors:  Harlan M Krumholz; Susannah M Bernheim
Journal:  Ann Intern Med       Date:  2014-12-02       Impact factor: 25.391

7.  Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study.

Authors:  Amy J H Kind; Steve Jencks; Jane Brock; Menggang Yu; Christie Bartels; William Ehlenbach; Caprice Greenberg; Maureen Smith
Journal:  Ann Intern Med       Date:  2014-12-02       Impact factor: 25.391

8.  An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction.

Authors:  Harlan M Krumholz; Zhenqiu Lin; Elizabeth E Drye; Mayur M Desai; Lein F Han; Michael T Rapp; Jennifer A Mattera; Sharon-Lise T Normand
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2011-03

9.  Variation in the risk of readmission among hospitals: the relative contribution of patient, hospital and inpatient provider characteristics.

Authors:  Siddhartha Singh; Yu-Li Lin; Yong-Fang Kuo; Ann B Nattinger; James S Goodwin
Journal:  J Gen Intern Med       Date:  2014-04       Impact factor: 5.128

10.  Implementation Science Workshop: primary care-based multidisciplinary readmission prevention program.

Authors:  Jamie Jurkiewicz Cavanaugh; Christine D Jones; Genevieve Embree; Katy Tsai; Thomas Miller; Betsy Bryant Shilliday; Brooke McGuirt; Robin Roche; Michael Pignone; Darren A DeWalt; Shana Ratner
Journal:  J Gen Intern Med       Date:  2014-05       Impact factor: 5.128

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  94 in total

1.  Motor and Cognitive Functional Status Are Associated with 30-day Unplanned Rehospitalization Following Post-Acute Care in Medicare Fee-for-Service Beneficiaries.

Authors:  Addie Middleton; James E Graham; Yu-Li Lin; James S Goodwin; Janet Prvu Bettger; Anne Deutsch; Kenneth J Ottenbacher
Journal:  J Gen Intern Med       Date:  2016-07-20       Impact factor: 5.128

2.  Hospital Readmission Rates in Medicare Advantage and Traditional Medicare: A Retrospective Population-Based Analysis.

Authors:  Orestis A Panagiotou; Amit Kumar; Roee Gutman; Laura M Keohane; Maricruz Rivera-Hernandez; Momotazur Rahman; Pedro L Gozalo; Vincent Mor; Amal N Trivedi
Journal:  Ann Intern Med       Date:  2019-06-25       Impact factor: 25.391

3.  Hospital Readmission in Total Hip Replacement Patients in 2009 and 2014.

Authors:  Michael P Cary; Victoria Goode; Nancy Crego; Deirdre Thornlow; Cathleen S Colón-Emeric; Helen M Hoenig; Kayla Baba; Scarlet Fellingham; Elizabeth I Merwin
Journal:  Arch Phys Med Rehabil       Date:  2018-01-31       Impact factor: 3.966

4.  Hospital Readmission among New Dialysis Patients Associated with Young Age and Poor Functional Status.

Authors:  LaTonya J Hickson; Bjorg Thorsteinsdottir; Priya Ramar; Megan S Reinalda; Cynthia S Crowson; Amy W Williams; Robert C Albright; Macaulay A Onuigbo; Andrew D Rule; Nilay D Shah
Journal:  Nephron       Date:  2018-01-09       Impact factor: 2.847

5.  Longitudinal trajectories of hospital performance across targeted cardiovascular conditions in the USA.

Authors:  Muthiah Vaduganathan; Cian P McCarthy; Colby Ayers; Deepak L Bhatt; Dharam J Kumbhani; James A de Lemos; Gregg C Fonarow; Ambarish Pandey
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2020-01-01

6.  "Comparing VA and Non-VA Care Quality".

Authors:  Charlie M Wray; Lenny Lopez; Salomeh Keyhani
Journal:  J Gen Intern Med       Date:  2019-04       Impact factor: 5.128

7.  Capsule Commentary on Meddings et al., The Impact of Disability and Social Determinants of Health on Condition-Specific Readmissions Beyond Medicare Risk-Adjustors: A Cohort Study.

Authors:  Jessica Meister-Berger
Journal:  J Gen Intern Med       Date:  2017-01       Impact factor: 5.128

8.  The Association Between Neighborhood Environment and Mortality: Results from a National Study of Veterans.

Authors:  Karin Nelson; Greg Schwartz; Susan Hernandez; Joseph Simonetti; Idamay Curtis; Stephan D Fihn
Journal:  J Gen Intern Med       Date:  2016-11-04       Impact factor: 5.128

9.  Statistical Quality Measures for Postacute Care Community Discharge: Through a Glass Darkly.

Authors:  Laurence F McMahon; Jennifer Meddings
Journal:  JAMA Netw Open       Date:  2018-11-02

10.  Variation In Accountable Care Organization Spending And Sensitivity To Risk Adjustment: Implications For Benchmarking.

Authors:  Sherri Rose; Alan M Zaslavsky; J Michael McWilliams
Journal:  Health Aff (Millwood)       Date:  2016-03       Impact factor: 6.301

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