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Funding sources and costs to deliver cardiac rehabilitation around the globe: Drivers and barriers

Published:October 31, 2018DOI:https://doi.org/10.1016/j.ijcard.2018.10.089

      Highlights

      • Cardiac rehabilitation (CR) is most often funded by public sources globally.
      • In 60% of programs patients are paying out-of-pocket for CR costs.
      • The median cost to treat one patient is $945.91 globally.
      • CR costs are driven by personnel, exercise equipment and stress testing.
      • Factors associated with higher cost include CR team composition, stress test and telemetry.

      Abstract

      Background

      Cardiac rehabilitation (CR) reach is minimal globally, primarily due to financial factors. This study characterized CR funding sources, cost to patients to participate, cost to programs to serve patients, and the drivers of these costs.

      Methods

      In this cross-sectional study, an online survey was administered to CR programs globally. Cardiac associations and local champions facilitated program identification. Costs in each country were reported using purchasing power parity (PPP). Results were compared by World Bank country income classification using generalized linear mixed models.

      Results

      111/203 (54.68%) countries in the world offer CR, of which data were collected in 93 (83.78% country response rate; N = 1082 surveys, 32.0% program response rate). CR was most-often publicly funded (more in high-income countries [HICs]; p < .001), but in 60.20% of countries patients paid some or all of the cost. Funding source impacted capacity (p = .004), number of patients per exercise session (p < .001), personnel (p = .037), and functional capacity testing (p = .039). The median cost to serve 1 patient was $945.91PPP globally. In low and middle-income countries (LMICs), exercise equipment and stress testing were perceived as the most expensive delivery elements, with front-line personnel costs perceived as costlier in HICs (p = .003). Modifiable factors associated with higher costs included CR team composition (p = .001), stress testing (p = .002) and telemetry monitoring in HICs (p = .01), and not offering alternative models in LMICs (p = .02).

      Conclusions

      Too many patients are paying out-of-pocket for CR, and more public funding is needed. Lower-cost delivery approaches are imperative, and include walk tests, task-shifting, and intensity monitoring via perceived exertion.

      Keywords

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