Literature DB >> 28948445

Reducing excess hospital readmissions: Does destination matter?

Min Chen1.   

Abstract

Reducing excess hospital readmissions has become a high policy priority to lower health care spending and improve quality. The Affordable Care Act (ACA) penalizes hospitals with higher-than-expected readmission rates. This study tracks patient-level admissions and readmissions to Florida hospitals from 2006 to 2014 to examine whether the ACA has reduced readmission effectively. We compare not only the change in readmissions in targeted conditions to that in non-targeted conditions, but also changes in sites of readmission over time and differences in outcomes based on destination of readmission. We find that the drop in readmissions is largely owing to the decline in readmissions to the original hospital where they received operations or treatments (i.e., the index hospital). Patients readmitted into a different hospital experienced longer hospital stays. The results suggest that the reduction in readmission is likely achieved via both quality improvement and strategic admission behavior.

Entities:  

Keywords:  Index hospital; Medicare; Quality of care; Thirty-day readmissions

Mesh:

Year:  2017        PMID: 28948445     DOI: 10.1007/s10754-017-9224-x

Source DB:  PubMed          Journal:  Int J Health Econ Manag        ISSN: 2199-9031


  16 in total

1.  Sharp rise in Medicare enrollees being held in hospitals for observation raises concerns about causes and consequences.

Authors:  Zhanlian Feng; Brad Wright; Vincent Mor
Journal:  Health Aff (Millwood)       Date:  2012-06       Impact factor: 6.301

2.  Medicare's readmissions-reduction program--a positive alternative.

Authors:  Robert A Berenson; Ronald A Paulus; Noah S Kalman
Journal:  N Engl J Med       Date:  2012-03-28       Impact factor: 91.245

3.  Reducing excess readmissions: promising effect of hospital readmissions reduction program in US hospitals.

Authors:  Ning Lu; Kuo-Cherh Huang; James A Johnson
Journal:  Int J Qual Health Care       Date:  2015-11-15       Impact factor: 2.038

4.  Using same-hospital readmission rates to estimate all-hospital readmission rates.

Authors:  Andrew A Gonzalez; Terry Shih; Justin B Dimick; Amir A Ghaferi
Journal:  J Am Coll Surg       Date:  2014-05-27       Impact factor: 6.113

5.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

6.  Readmissions To New York Hospitals Fell For Three Target Conditions From 2008 To 2012, Consistent With Medicare Goals.

Authors:  Kathleen Carey; Meng-Yun Lin
Journal:  Health Aff (Millwood)       Date:  2015-06       Impact factor: 6.301

7.  Predictors and outcomes of unplanned readmission to a different hospital.

Authors:  Hongsoo Kim; William W Hung; Myunghee Cho Paik; Joseph S Ross; Zhonglin Zhao; Gi-Soo Kim; Kenneth Boockvar
Journal:  Int J Qual Health Care       Date:  2015-10-15       Impact factor: 2.038

8.  Readmissions, Observation, and the Hospital Readmissions Reduction Program.

Authors:  Rachael B Zuckerman; Steven H Sheingold; E John Orav; Joel Ruhter; Arnold M Epstein
Journal:  N Engl J Med       Date:  2016-02-24       Impact factor: 91.245

9.  For-profit hospital status and rehospitalizations at different hospitals: an analysis of Medicare data.

Authors:  Amy J H Kind; Christie Bartels; Matthew W Mell; John Mullahy; Maureen Smith
Journal:  Ann Intern Med       Date:  2010-12-07       Impact factor: 25.391

10.  Readmission destination and risk of mortality after major surgery: an observational cohort study.

Authors:  Benjamin S Brooke; Philip P Goodney; Larry W Kraiss; Daniel J Gottlieb; Matthew H Samore; Samuel R G Finlayson
Journal:  Lancet       Date:  2015-06-17       Impact factor: 79.321

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  1 in total

1.  Robust policy evaluation from large-scale observational studies.

Authors:  Md Saiful Islam; Md Sarowar Morshed; Gary J Young; Md Noor-E-Alam
Journal:  PLoS One       Date:  2019-10-11       Impact factor: 3.240

  1 in total

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