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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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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
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author Wright, Brad
Parrish, Canada
Basu, Anirban
Joynt Maddox, Karen E.
Liao, Joshua M.
Sabbatini, Amber K.
author_facet Wright, Brad
Parrish, Canada
Basu, Anirban
Joynt Maddox, Karen E.
Liao, Joshua M.
Sabbatini, Amber K.
author_sort Wright, Brad
collection PubMed
description 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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spelling pubmed-101541612023-05-04 Medicare's hospital readmissions reduction program and the rise in observation stays Wright, Brad Parrish, Canada Basu, Anirban Joynt Maddox, Karen E. Liao, Joshua M. Sabbatini, Amber K. Health Serv Res Medicare 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. Blackwell Publishing Ltd 2023-02-27 2023-06 /pmc/articles/PMC10154161/ /pubmed/36755372 http://dx.doi.org/10.1111/1475-6773.14142 Text en © 2023 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Medicare
Wright, Brad
Parrish, Canada
Basu, Anirban
Joynt Maddox, Karen E.
Liao, Joshua M.
Sabbatini, Amber K.
Medicare's hospital readmissions reduction program and the rise in observation stays
title Medicare's hospital readmissions reduction program and the rise in observation stays
title_full Medicare's hospital readmissions reduction program and the rise in observation stays
title_fullStr Medicare's hospital readmissions reduction program and the rise in observation stays
title_full_unstemmed Medicare's hospital readmissions reduction program and the rise in observation stays
title_short Medicare's hospital readmissions reduction program and the rise in observation stays
title_sort medicare's hospital readmissions reduction program and the rise in observation stays
topic Medicare
url 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
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