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Medicare's Hospital Readmissions Reduction Program and the Rise in Observation Stays.
Health Services Research 2023 Februrary 9
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 percentage 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 percentage 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.
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 percentage 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 percentage 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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