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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2023
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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 |
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. |
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