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Updated: Nov 19, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Predictors of Cardiac Rehabilitation Participation: OPPORTUNITIES TO INCREASE ENROLLMENT
Sherrie Khadanga1, Patrick D Savage, Diann E Gaalema
1Division of Cardiology, Department of Medicine (Drs Khadanga and Ades and Mr Savage), Vermont Center on Behavior and Health (Drs Khadanga, Gaalema, and Ades and Mr Savage), and Departments of Psychiatry and Psychology (Dr Gaalema), University of Vermont, Burlington.
Insights
Low cardiac rehabilitation (CR) participation is a challenge. Electronic referral, surgical diagnosis, non-smoking status, and strong physician recommendation predict CR attendance, while lack of referral and lower education predict nonparticipation.
Area of Science:
- Cardiology
- Public Health
- Behavioral Science
Background:
- Cardiac rehabilitation (CR) offers significant benefits but faces low participation rates.
- Understanding predictors of CR participation is crucial for improving patient outcomes.
Purpose of the Study:
- To identify medical, psychosocial, and behavioral predictors of participation in phase 2 cardiac rehabilitation.
- To assess factors influencing patient engagement in CR programs.
Main Methods:
- Prospective observational study involving 294 patients hospitalized for acute cardiac events.
- Data collected included demographics, medical history, psychosocial factors, and CR referral status.
- Logistic regression and Classification and Regression Tree analyses were used to identify predictors.
Main Results:
- Electronic referral, surgical diagnosis, non/former smoking status, and strong physician recommendation were independent predictors of CR participation.
- Patients with electronic referral, higher education, ejection fraction >50%, and strong physician recommendation had the highest participation (89%).
- Patients not referred to CR had the lowest participation rates (20%).
Conclusions:
- Lack of CR referral, lower education, nonsurgical diagnosis, current smoking, and reduced ejection fraction predict nonparticipation.
- Interventions like electronic referral and strong physician recommendations can enhance CR participation.
- Targeted strategies are needed to address barriers and improve CR uptake.
Purpose:
Participation in cardiac rehabilitation (CR) is low despite proven benefits. The aim of this study was to assess medical, psychosocial, and behavioral predictors of participation in a phase 2 CR.
Methods:
This was a prospective observational study. Participants hospitalized for an acute cardiac event and eligible for CR completed in-hospital assessments, and the primary outcome was CR participation over a 4-mo follow-up. Measures included age, sex, educational attainment, smoking status, medical diagnosis, ejection fraction, and electronic referral to CR. Data included General Anxiety Disorder, Patient Health Questionnaire, Medical Outcomes Study Short Form-36, Behavioral Rating Inventory of Executive Function, and Duke Social Support Index. Logistic regression and Classification and Regression Tree analysis were performed.
Results:
Of 378 hospitalized patients approached, 294 (31% females) enrolled in the study and 175 participated in CR. The presence of electronic referral, surgical diagnosis, non/former smoker, and strength of physician recommendation (all Ps < .02) were independent predictors for CR participation. No differences were seen in participation by measures of anxiety, depression, or executive function. Males with a profile of electronic referral to CR, high school or higher education, ejection fraction >50%, and strong physician recommendation were the most likely cohort to participate in CR (89%). Patients not referred to CR were the least likely to attend (20%).
Conclusions:
Lack of CR referral, lower educational attainment, nonsurgical diagnosis, current smoking, and reduced ejection fraction can predict patients at a highest risk of CR nonparticipation. Specific interventions such as electronic referral and a strong in-person recommendation from a medical provider may enhance CR participation rates.
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