Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Comparison of Long-run Trends in 30-day Readmission by Degrees of Medicare Payment Cuts

Datos Bibliográficos

ID9102546
AutoresYu-Chu Shen (Naval Postgraduate School), Yu‐Chu Shen (0000-0003-1097-0345, National Bureau of Economic Research, autor de correspondencia), Vivian Y Wu (University of Southern California)
Año2016
Volumen54
Número9
Páginas891-898
Fecha de publicación2016-09-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000579
PMID27261641
OpenAlexW2415164006
IdiomaEN
Referencias citadas33

BACKGROUND AND OBJECTIVE: The Affordable Care Act enacted significant Medicare payment reductions to providers, yet long-term effects of such major reductions on patient outcomes remain uncertain. Using the 1997 Balanced Budget Act (BBA) as an experiment, we compare long-run trends in 30-day readmission across hospitals with different amount of payment cuts. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using 100% Medicare claims between 1995 and 2011 and instrumental variable hospital fixed-effects regression models, we compared changes in 30-day readmission trends for 5 leading Medicare conditions between urban hospitals facing small, moderate, and large BBA payment reductions across 4 periods [1995-1997 (pre-BBA period), 1998-2000, 2001-2005, 2006-2001]. Patient sample includes Medicare patients who were admitted to general, acute, urban, short-stay hospitals in the United States 1995-2011. Sample size ranges from 1.4 million patients for acute myocardial infarction to 3 million for pneumonia. RESULTS: We found that 30-day readmission trends diverged post-BBA (2001-2005) between hospitals facing small and large payment cuts, where large-cut hospitals experience slower improvement in readmission rates relative to small-cut hospitals. The gap between small-cut and large-cut hospitals readmission trend was 6% for acute myocardial infarction, 4% for congestive heart failure and pneumonia (all P<0.01) in the 2001-2005 period. The gaps between hospitals were eliminated by the 2006-2011 period as the effect of BBA naturally dissipated over time. CONCLUSIONS: Although payment-cut differences are associated with widening gaps in readmission rates across hospitals, the negative association appears to dissipate in the long run

Acute care · Business · Health care · Heart failure · Medicaid · Myocardial infarction · Payment · Pneumonia · Prospective payment system · Demography · Emergency Medicine · Finance · Healthcare Policy and Management · Heart Failure Treatment and Management · Internal Medicine · Medicine · Primary Care and Health Outcomes

  • Rehospitalizations among Patients in the Medicare Fee-for-Service Program

    Stephen F Jencks, Malcolm V Williams et al.•New England Journal of Medicine•2009

  • Instrumental Variables Regression with Weak Instruments

    Douglas O Staiger, Douglas Staiger et al.•Econometrica•1997

  • Hospital Staffing Decisions

    Open Access•Mei Zhao, Gloria J Bazzoli et al.•INQUIRY The Journal of Health…•2008

  • Impact of a Social Work Care Coordination Intervention on Hospital Readmission

    Laura R Bronstein, P Gould et al.•Social Work•2015

  • Did Postoperative Mortality Increase After the Implementation of the Medicare Balanced Budget Act

    Meena Seshamani, Jingsan Zhu et al.•Medical Care•2006

  • Hospital-Level Racial Disparities in Acute Myocardial Infarction Treatment and Outcomes

    Amber E Barnato, F Lee Lucas et al.•Medical Care•2005

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

  • Validation of the Potentially Avoidable Hospital Readmission Rate as a Routine Indicator of the Quality of Hospital Care

    Patricia Halfon, Yves Eggli et al.•Medical Care•2006

  • Reductions in Medicare Payments and Patient Outcomes

    Yu-Chu Shen, Yu‐Chu Shen et al.•Medical Care•2013

  • Avoiding Invalid Instruments and Coping with Weak Instruments

    Open Access•Michael P Murray•The Journal of Economic…•2006

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae