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Medicare's hospital readmissions reduction program and the rise in observation stays

OBJECTIVE: To evaluate whether Medicare's Hospital Readmissions Reduction Program (HRRP) is associated with increased observation stay use. DATA SOURCES AND STUDY SETTING: A nationally representative sample of fee‐for‐service Medicare claims, January 2009–September 2016. STUDY DESIGN: Using a d...

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Detalles Bibliográficos
Autores principales: Wright, Brad, Parrish, Canada, Basu, Anirban, Joynt Maddox, Karen E., Liao, Joshua M., Sabbatini, Amber K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154161/
https://www.ncbi.nlm.nih.gov/pubmed/36755372
http://dx.doi.org/10.1111/1475-6773.14142
Descripción
Sumario:OBJECTIVE: To evaluate whether Medicare's Hospital Readmissions Reduction Program (HRRP) is associated with increased observation stay use. DATA SOURCES AND STUDY SETTING: A nationally representative sample of fee‐for‐service Medicare claims, January 2009–September 2016. STUDY DESIGN: Using a difference‐in‐difference (DID) design, we modeled changes in observation stays as a proportion of total hospitalizations, separately comparing the initial (acute myocardial infarction, pneumonia, heart failure) and subsequent (chronic obstructive pulmonary disease) target conditions with a control group of nontarget conditions. Each model used 3 time periods: baseline (15 months before program announcement), an intervening period between announcement and implementation, and a 2‐year post‐implementation period, with specific dates defined by HRRP policies. DATA COLLECTION/EXTRACTION METHODS: We derived a 20% random sample of all hospitalizations for beneficiaries continuously enrolled for 12 months before hospitalization (N = 7,162,189). PRINCIPAL FINDINGS: Observation stays increased similarly for the initial HRRP target and nontarget conditions in the intervening period (0.01% points per month [95% CI −0.01, 0.3]). Post‐implementation, observation stays increased significantly more for target versus nontarget conditions, but the difference is quite small (0.02% points per month [95% CI 0.002, 0.04]). Results for the COPD analysis were statistically insignificant in both policy periods. CONCLUSIONS: The increase in observation stays is likely due to other factors, including audit activity and clinical advances.