4.2 Article

Predictors of Cardiac Rehabilitation Participation OPPORTUNITIES TO INCREASE ENROLLMENT

Journal

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/HCR.0000000000000573

Keywords

cardiac rehabilitation; secondary prevention

Funding

  1. National Institutes of Health Center of Biomedical Research Excellence award from the National Institute of General Medical Sciences [P20GM103644]
  2. National Heart, Lung, and Blood Institute [R33HL143305]

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This study found that patients who received electronic referral, had a surgical diagnosis, were former or non-smokers, and received strong physician recommendation were more likely to participate in cardiac rehabilitation. Measures of anxiety, depression, and executive function did not significantly impact participation.
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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