Abstract 4141606: Is 70% Achievable? Hospital-Level Variation in Rates of Cardiac Rehabilitation Use among Medicare Beneficiaries

Background: Hospitalization is an opportunity to refer and recruit eligible patients to cardiac rehabilitation (CR). Despite national goals to enroll 70% of CR-eligible patients, enrollment remains low, and little is known about how hospitals influence CR enrollment at the national level. Methods: We included fee-for-service Medicare beneficiaries older than 65 years who were hospitalized in 2017 for acute myocardial infarction (AMI), coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or heart valve repair/replacement. We examined the role of the hospital in CR enrollment using three different methods: 1.) a risk-standardized model to assess comparative hospital rates with bootstrap methods to group hospitals as above, at, or below national rates of CR (as might be done for quality incentives); 2.) a linear regression model to identify hospital factors associated with rates of risk-standardized CR; and 3.) a hierarchical generalized linear model to allow calculation of the hospital Median Odds Ratio (MOR). Results: At 3,420 hospitals, we identified 264,970 eligible patients. While a minority of hospitals (1,446; 38%) performed cardiac surgery, these hospitals cared for the vast majority (242,875; 92%) of all eligible patients, and subsequent analyses were limited to these hospitals. The median risk-standardized CR enrollment rate was low (22%) and varied 10-fold across hospitals at the 10 th and 90 th percentiles (3%, 42%). Bootstrap methods to group hospitals as above, at, or below national average demonstrated that about one-fifth of hospitals [301, 21%] had worse performance than the national mean and about one-third [453, 31%] had better performance than the national mean. Factors associated with higher hospital performance were Midwest location, higher number of hospital beds, directly affiliated CR program, and <1 mile distance between the hospital and closest CR facility. The national hospital MOR was 2.1, similar in effect size as Midwest location. Discussion: The referring hospital plays a key role in facilitating CR enrollment after discharge, Fewer than 1% of US hospitals achieved a risk-standardized CR enrollment rate of >70%. Hospitals with cardiac surgery capability care for more than 90% of all CR-eligible patients, and may be a logical place to focus improvement efforts.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4141606
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4141606: Is 70% Achievable? Hospital-Level Variation in Rates of Cardiac Rehabilitation Use among Medicare Beneficiaries

Aruna Priya, Quinn R. Pack, Peter K. Lindenauer, Michael P. Thompson et al.
Circulation
Cardiac Health and Mental Health
article

Abstract 4141606: Is 70% Achievable? Hospital-Level Variation in Rates of Cardiac Rehabilitation Use among Medicare Beneficiaries

Aruna Priya, Quinn R. Pack, Peter K. Lindenauer, Michael P. Thompson, Penelope S. Pekow, Tara Lagu, Steven J. Keteyian, Thomas E. Keys, Thomas D’Aunno
article en

Abstract

Background: Hospitalization is an opportunity to refer and recruit eligible patients to cardiac rehabilitation (CR). Despite national goals to enroll 70% of CR-eligible patients, enrollment remains low, and little is known about how hospitals influence CR enrollment at the national level. Methods: We included fee-for-service Medicare beneficiaries older than 65 years who were hospitalized in 2017 for acute myocardial infarction (AMI), coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or heart valve repair/replacement. We examined the role of the hospital in CR enrollment using three different methods: 1.) a risk-standardized model to assess comparative hospital rates with bootstrap methods to group hospitals as above, at, or below national rates of CR (as might be done for quality incentives); 2.) a linear regression model to identify hospital factors associated with rates of risk-standardized CR; and 3.) a hierarchical generalized linear model to allow calculation of the hospital Median Odds Ratio (MOR). Results: At 3,420 hospitals, we identified 264,970 eligible patients. While a minority of hospitals (1,446; 38%) performed cardiac surgery, these hospitals cared for the vast majority (242,875; 92%) of all eligible patients, and subsequent analyses were limited to these hospitals. The median risk-standardized CR enrollment rate was low (22%) and varied 10-fold across hospitals at the 10 th and 90 th percentiles (3%, 42%). Bootstrap methods to group hospitals as above, at, or below national average demonstrated that about one-fifth of hospitals [301, 21%] had worse performance than the national mean and about one-third [453, 31%] had better performance than the national mean. Factors associated with higher hospital performance were Midwest location, higher number of hospital beds, directly affiliated CR program, and <1 mile distance between the hospital and closest CR facility. The national hospital MOR was 2.1, similar in effect size as Midwest location. Discussion: The referring hospital plays a key role in facilitating CR enrollment after discharge, Fewer than 1% of US hospitals achieved a risk-standardized CR enrollment rate of >70%. Hospitals with cardiac surgery capability care for more than 90% of all CR-eligible patients, and may be a logical place to focus improvement efforts.

CirculationVol. 150(Suppl_1)
Northwestern University (US), Baystate Medical Center (US), University of Michigan (US), Henry Ford Hospital (US), Michigan United (US), Baystate Health (US), Northwestern Medicine (US), New York University (US)
Openalex Percentile: Top 62%
Cardiac Health and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.