PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 1, 2026Journal of the American College of Cardiology33 citationsOpen Access

Geographic Variation in Access to Cardiac Rehabilitation

MDMeredith S. DuncanNRNatalie N. RobbinsSWSteven A. Wernke

Key Result

The density of cardiac rehabilitation programs accounted for 23.5% of the geographic variation in cardiac rehabilitation initiation, with 13% of the older US population living in CR deserts.

Key Points

  • This research aims to examine the geographic differences in access to cardiac rehabilitation services.
  • Analysis of national health data addressing regional access to services
  • Identification of factors influencing disparities in access
  • Comparison of access between urban and rural areas.
  • Significant variation in access to cardiac rehabilitation services based on geographic location
  • Urban areas show higher service availability than rural regions
  • Socioeconomic factors influence access rates.

Study Design

Type

Observational (n=1,269,147)

Structured PICO

Does geographic access to cardiac rehabilitation centers affect CR initiation rates among eligible Medicare beneficiaries?

P
Population
1,269,147 Medicare fee-for-service beneficiaries aged 65 and older hospitalized with a cardiac rehabilitation-eligible condition, followed for 1 year to assess initiation.
E
Exposure
Access to cardiac rehabilitation (CR) centers, measured by density of CR centers per 1,000 CR-eligible Medicare beneficiaries and average driving distance to the nearest CR center.
O
Outcome
Cardiac rehabilitation initiation (binary indicator of ≥1 outpatient claim for CR occurring in the year following the index discharge date)

A substantial proportion of the geographic variation in cardiac rehabilitation initiation is driven by access to CR programs, highlighting the need to address 'CR deserts' to improve utilization.

Main Result

Effect estimate: 23.5% of geographic variation explained

p-value: p=<0.0001

Limitations

  • Analyses were limited to patients enrolled in fee-for-service Medicare and may not be generalizable to Medicare Advantage plans.
  • Used population numbers age ≥65 years as a surrogate for CR-eligible Medicare beneficiaries in distance analyses due to data limitations.
  • Cannot rule out reverse causality, as CR centers may be more likely to open in areas of higher utilization.
  • Analyses were limited to patients enrolled in fee-for-service Medicare and may not be generalizable to patients enrolled in Medicare private health plans
  • Used population numbers age ≥65 years as a surrogate for CR-eligible Medicare beneficiaries in the analyses evaluating distance to the nearest CR center
  • Cannot rule out the possibility of reverse causality in the association between CR center density and CR utilization

Abstract

Structured Abstract Background: There is marked geographic variation in cardiac rehabilitation (CR) initiation, ranging from 10-40% of eligible patients at the state level. The potential causes of this variation, such as patient access to CR centers, are not well studied. Objectives: The authors sought to determine how access to CR centers affects CR initiation in Medicare beneficiaries. Methods: The authors used Medicare files to identify CR-eligible Medicare beneficiaries and calculate CR initiation rates at the hospital referral region (HRR) level. We used linear regression to evaluate the percent variation in CR initiation accounted for by CR access across HRRs. We then employed geospatial hotspot analysis to identify CR deserts, or counties in which patient load per CR center is disproportionately high. Results: A total of 1,269,147 Medicare beneficiaries were eligible for CR from 2014 to 2017, of whom 314,997 (25%) initiated CR. The West North Central Census Division had the highest adjusted CR initiation rate (37.0%) and the highest density of CR programs (5.89 per 1,000 CR-eligible Medicare beneficiaries). Density of CR programs accounted for 23.5% of geographic variation in CR initiation at the HRR level. A total of 39 largely urban counties comprising 13% of the United States population age ≥65 had disproportionately low CR access and were identified as CR deserts. Conclusions: A substantial proportion of geographic variation in CR initiation was related to access to CR programs, with a significant amount of the U.S. population living in CR deserts. These data invite further study on interventions to increase CR access.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Duncan et al. (2023) conducted an observational in Cardiovascular disease eligible for cardiac rehabilitation (n=1,269,147). Density of cardiac rehabilitation programs vs. Lower density of cardiac rehabilitation programs was evaluated on Cardiac rehabilitation initiation (≥1 outpatient claim for CR in the year following discharge) (23.5% of geographic variation explained, p=<0.0001). The density of cardiac rehabilitation programs accounted for 23.5% of the geographic variation in cardiac rehabilitation initiation, with 13% of the older US population living in CR deserts.

synapsesocial.com/papers/6a458450a36e37cc02f22865https://doi.org/10.1016/j.jacc.2023.01.016
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A New Model of Home-Based Telemonitored Cardiac Rehabilitation in Patients with Heart Failure: Effectiveness, Quality of Life, and Adherence2009 · 238 citations
  2. 2Geographic Variation in Cardiac Rehabilitation Participation in Medicare and Veterans Affairs Populations2018 · 159 citations
  3. 3The Analysis of Spatial Association by Use of Distance Statistics1992 · 6,196 citations
  4. 4Relationship Between Cardiac Rehabilitation and Long-Term Risks of Death and Myocardial Infarction Among Elderly Medicare Beneficiaries2009 · 546 citations
  5. 5Exercise-based rehabilitation for patients with coronary heart disease: systematic review and meta-analysis of randomized controlled trials2004 · 2,267 citations