Disparities in Geographic Access to Cardiac Rehabilitation Among Socially Vulnerable Communities
Year: 2025
Type: article
Abstract: Background There is a dearth of research examining geographic disparities in access to cardiac rehabilitation (CR). We evaluated whether disparities in geographic access to CR exist among socially vulnerable communities, using the Social Vulnerability Index (SVI). Methods Among 3113 US counties, we investigated relationships between SVI and number of hospitals with CR per 100 000 adults, modeled with SVI as a linear variable, and SVI and distance to the nearest county with CR facilities, modeled using spline terms for SVI. We used multivariable zero‐inflated negative binomial regression modeling adjusted for county population, CR eligibility, percentage without health insurance, metropolitan status, and availability of existing health care infrastructure. We explored whether these relationships changed in the context of rurality. Results After adjustment, as SVI increased by 1 percentile, number of hospitals with CR per 100 000 adults decreased by 1.2% ( P <0.001). For distance to CR, individual spline terms were not significant in our adjusted model; however, the overall predicted distance to CR increased as SVI increased. When stratified by metropolitan status, these relationships not only persisted but also intensified in rural counties. As SVI increased by 1 percentile, the odds of a county containing a CR facility decreased by 0.9% in metropolitan counties ( P =0.002) versus 2.2% in rural counties ( P <0.001). Conclusion More socially vulnerable communities experienced worse geographic access to CR facilities. This access disparity intensified in rural communities. Our findings call for reducing barriers to CR access among socially vulnerable and rural communities, potentially through virtual or hybrid models of CR.
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,810
OpenAlex ID: W4414984991
