Related Experiment Video

Updated: Jan 24, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.3K

An Algorithm for the Optimal Location of Cardiac Rehabilitation Centers: A SPATIAL PERSPECTIVE

Thiago Mauro de Lima Moraes1, Luís Felipe Leite da Silva2, Mauro Augusto Dos Santos3

  • 1Universidade Federal Rural do Rio de Janeiro (UFRRJ), Rio de Janeiro, Brazil (de Lima Moraes, Gregorio, and de Souza Filho).

Journal of Cardiopulmonary Rehabilitation and Prevention
|January 23, 2026
PubMed

Insights

Optimizing cardiac rehabilitation (CR) clinic locations significantly reduces patient travel distance, improving access to care. Strategic resource allocation enhances CR program efficiency and patient adherence, especially for high-risk individuals.

Area of Science:

  • Healthcare Management
  • Public Health
  • Operations Research

Background:

  • Geographical distance to cardiac rehabilitation (CR) clinics is a major barrier to patient participation and adherence.
  • This barrier disproportionately affects high-risk cardiovascular patients needing consistent CR.
  • Improved accessibility to CR services is crucial for better clinical outcomes.

Purpose of the Study:

  • To optimize the geographical allocation of CR clinics to minimize patient travel distances.
  • To enhance the accessibility and effectiveness of CR programs through strategic resource distribution.
  • To address barriers to CR initiation and continuation caused by distance.

Main Methods:

  • A p-median optimization model was employed to determine ideal CR clinic locations.
  • Six distinct scenarios were analyzed for patients with high cardiovascular risk.
  • The model aimed to minimize average patient travel distances to CR facilities.

Main Results:

  • Adding 4 CR clinics reduced average travel distances by 14%–17% for the target population.
  • The optimization model identified a tendency for clinic concentration in specific areas.
  • Results highlighted existing disparities and inequitable distribution of CR services.

Conclusions:

  • Optimized CR clinic allocation enhances healthcare system efficiency and resource distribution.
  • This strategic approach improves treatment accessibility, aligning with value-based healthcare principles.
  • Mathematical modeling provides a framework for equitable and effective CR service delivery.
Abstract

Keywords:
cardiac rehabilitationresource allocationvalue-based health care

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