A systematic review of economic evaluations of cardiac rehabilitation

Wai Pong Wong1, Jun Feng, Keng Ho Pwee

  • 1Academic Programmes Division, Singapore Institute of Technology, Singapore, Singapore. WaiPong.Wong@SingaporeTech.edu.sg

Insights

Cardiac rehabilitation (CR) is highly cost-effective for patients with myocardial infarction (MI) or heart failure (HF). Both supervised center-based and home-based CR programs demonstrate value, supporting their implementation in patient care.

Area of Science:

  • Cardiovascular Medicine
  • Health Economics
  • Public Health Policy

Background:

  • Cardiac rehabilitation (CR) is a vital multidisciplinary program for post-myocardial infarction (MI), revascularization, and heart failure (HF) patients.
  • CR integrates exercise, risk factor modification, and psychosocial support.
  • This review focuses on the cost-effectiveness of CR for MI and HF patients.

Purpose of the Study:

  • To systematically review published economic studies on the cost-effectiveness of cardiac rehabilitation.
  • To inform Singaporean policymakers regarding the economic benefits of CR.
  • To evaluate different models of CR delivery.

Main Methods:

  • Systematic review of economic evaluations from electronic databases (EMBASE, MEDLINE, NHS EED, PEDro, CINAHL) up to May 2010.
  • Inclusion/exclusion criteria applied by two independent reviewers.
  • Quality assessment of economic evaluations using Drummond's checklist.

Main Results:

  • Supervised center-based CR is highly cost-effective compared to no CR.
  • Home-based CR shows comparable cost-effectiveness to center-based CR.
  • Home-based CR programs are generally cost-saving compared to no CR.
  • No significant cost-effectiveness difference was found between inpatient and outpatient CR.

Conclusions:

  • All reviewed studies support the implementation of CR for MI and HF patients.
  • Variability in CR program design and delivery necessitates cautious interpretation of findings.
  • Policymakers should consider program specifics when generalizing results to local contexts like Singapore.
Abstract

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