Literature DB >> 31567860

Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients.

Jason H Wasfy1, Vijeta Bhambhani1, Emma W Healy1, Christine Choirat2, Francesca Dominici3, Rishi K Wadhera4,5, Changyu Shen4, Yun Wang3,4, Robert W Yeh4.   

Abstract

IMPORTANCE: Hospitals that serve poorer populations have higher readmission rates. It is unknown whether these hospitals effectively lowered readmission rates in response to the Hospital Readmissions Reduction Program (HRRP).
OBJECTIVE: To compare pre-post differences in readmission rates among hospitals with different proportion of dual-eligible patients both generally and among the most highly penalized (ie, low performing) hospitals.
DESIGN: Retrospective cohort study using piecewise linear model with estimated hospital-level risk-standardized readmission rates (RSRRs) as the dependent variable and a change point at HRRP passage (2010). Economic burden was assessed by proportion of dual-eligibles served.
SETTING: Acute care hospitals within the United States. PARTICIPANTS: Medicare fee-for-service beneficiaries aged 65 years or older discharged alive from January 1, 2003 to November 30, 2014 with a principal discharge diagnosis of acute myocardial infarction (AMI), congestive heart failure (CHF), and pneumonia. MAIN OUTCOME AND MEASURE: Decrease in hospital-level RSRRs in the post-law period, after controlling for the pre-law trend.
RESULTS: For AMI, the pre-post difference between hospitals that service high and low proportion of dual-eligibles was not significant (-65 vs. -64 risk-standardized readmissions per 10000 discharges per year, P=0.0678). For CHF, RSRRs declined more at high than low dual-eligible hospitals (-79 vs. -75 risk-standardized readmissions per 10000 discharges per year, P=0.0006). For pneumonia, RSRRs declined less at high than low dual-eligible hospitals (-44 vs. -47 risk-standardized readmissions per 10000 discharges per year, P=0.0003). Among the 742 highest penalized hospitals and all conditions, the pre-post decline in rate of change of RSRRs was less for high dual-eligible hospitals than low dual-eligible hospitals (-68 vs. -74 risk-standardized readmissions per 10000 discharges per year for AMI, -88 vs. -97 for CHF, and -47 vs. -56 for pneumonia, P<0.0001 for all). CONCLUSIONS AND RELEVANCE: For all hospitals, differences in pre-post trends in RSRRs varied with disease conditions. However, for the highest-penalized hospitals, the pre-post decline in RSRRs was greater for low than high dual-eligible hospitals for all penalized conditions. These results suggest that high penalty, high dual-eligible hospitals may be less able to improve performance on readmission metrics.

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Year:  2019        PMID: 31567860      PMCID: PMC6856430          DOI: 10.1097/MLR.0000000000001207

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  29 in total

1.  Safety-net Hospitals Face More Barriers Yet Use Fewer Strategies to Reduce Readmissions.

Authors:  Jose F Figueroa; Karen E Joynt; Xiner Zhou; Endel J Orav; Ashish K Jha
Journal:  Med Care       Date:  2017-03       Impact factor: 2.983

2.  The Hospital Readmission Reduction Program Is Associated With Fewer Readmissions, More Deaths: Time to Reconsider.

Authors:  Gregg C Fonarow; Marvin A Konstam; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2017-10-10       Impact factor: 24.094

3.  To Fix the Hospital Readmissions Program, Prioritize What Matters.

Authors:  Ashish K Jha
Journal:  JAMA       Date:  2018-02-06       Impact factor: 56.272

4.  Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties.

Authors:  Monica S Aswani; Meredith L Kilgore; David J Becker; David T Redden; Bisakha Sen; Justin Blackburn
Journal:  Health Serv Res       Date:  2018-08-27       Impact factor: 3.402

5.  Association of Stratification by Dual Enrollment Status With Financial Penalties in the Hospital Readmissions Reduction Program.

Authors:  Karen E Joynt Maddox; Mat Reidhead; Andrew C Qi; David R Nerenz
Journal:  JAMA Intern Med       Date:  2019-06-01       Impact factor: 21.873

6.  Thirty-day readmission rates for Medicare beneficiaries by race and site of care.

Authors:  Karen E Joynt; E John Orav; Ashish K Jha
Journal:  JAMA       Date:  2011-02-16       Impact factor: 56.272

7.  Are low-income elderly patients at risk for poor diabetes care?

Authors:  Daniel T McCall; Angela Sauaia; Richard F Hamman; Jane E Reusch; Phoebe Barton
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

8.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

9.  An administrative claims model for profiling hospital 30-day mortality rates for pneumonia patients.

Authors:  Dale W Bratzler; Sharon-Lise T Normand; Yun Wang; Walter J O'Donnell; Mark Metersky; Lein F Han; Michael T Rapp; Harlan M Krumholz
Journal:  PLoS One       Date:  2011-04-12       Impact factor: 3.240

Review 10.  Strategies to Modify the Risk of Heart Failure Readmission: A Systematic Review and Meta-Analysis.

Authors:  Thomas T H Wan; Amanda Terry; Enesha Cobb; Bobbie McKee; Rebecca Tregerman; Sara D S Barbaro
Journal:  Health Serv Res Manag Epidemiol       Date:  2017-04-18
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  2 in total

Review 1.  Strategies for utilisation management of hospital services: a systematic review of interventions.

Authors:  Leila Doshmangir; Roghayeh Khabiri; Hossein Jabbari; Morteza Arab-Zozani; Edris Kakemam; Vladimir Sergeevich Gordeev
Journal:  Global Health       Date:  2022-05-23       Impact factor: 10.401

2.  Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Authors:  Jeremiah R Brown; Iben M Ricket; Ruth M Reeves; Rashmee U Shah; Christine A Goodrich; Glen Gobbel; Meagan E Stabler; Amy M Perkins; Freneka Minter; Kevin C Cox; Chad Dorn; Jason Denton; Bruce E Bray; Ramkiran Gouripeddi; John Higgins; Wendy W Chapman; Todd MacKenzie; Michael E Matheny
Journal:  J Am Heart Assoc       Date:  2022-03-24       Impact factor: 6.106

  2 in total

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