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

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Patient Characteristics Predictive of Cardiac Rehabilitation Adherence

Diann E Gaalema1, Patrick D Savage, Jason L Rengo

  • 1Vermont Center on Behavior and Health, Burlington (Drs Gaalema, Higgins, and Ades, Mr Cutler, and Ms Elliott); Departments of Psychiatry (Drs Gaalema and Higgins, Mr Cutler, and Ms Elliott), Psychology (Drs Gaalema and Higgins), and Medical Biostatistics (Mr Savage and Rengo and Dr Ades), University of Vermont, Burlington; and Department of Medicine, University of Vermont Medical Center, Burlington (Dr Priest).

Journal of Cardiopulmonary Rehabilitation and Prevention
|December 30, 2016
PubMed

Insights

Cardiac rehabilitation adherence is low. Younger age, smoking, lower socioeconomic status (SES), and nonsurgical diagnosis predict fewer completed sessions, highlighting needs for targeted support.

Area of Science:

  • Cardiology
  • Public Health
  • Rehabilitation Medicine

Background:

  • Cardiac rehabilitation (CR) programs improve outcomes after cardiac events.
  • Despite proven benefits, CR session adherence is suboptimal.
  • Understanding factors influencing CR completion is crucial for improving patient outcomes.

Purpose of the Study:

  • To investigate associations between patient characteristics and the number of completed CR sessions.
  • To identify demographic, clinical, and socioeconomic factors impacting CR adherence.
  • To explore how combinations of risk factors predict CR session completion.

Main Methods:

  • Utilized a prospectively collected CR clinical database (n=1658).
  • Employed multiple logistic regression and Classification and Regression Tree (CART) modeling.
  • Analyzed associations between baseline participant characteristics and completed CR sessions.

Main Results:

  • Current smoking, lower socioeconomic status (SES), nonsurgical diagnosis, exercise-limiting comorbidities, and younger age independently predicted fewer CR sessions.
  • CART analysis revealed distinct risk profiles for CR nonadherence.
  • Individuals with the highest-risk profile completed an average of 9 sessions, versus 27 sessions for the lowest-risk profile.

Conclusions:

  • Younger patients, smokers, those with lower SES, and individuals with nonsurgical diagnoses require additional support for CR adherence.
  • Identifying high-risk profiles can guide interventions to improve CR program completion.
  • Targeted strategies are needed to enhance sustained participation in cardiac rehabilitation.
Abstract

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