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Predictors of Cardiac Rehabilitation Participation: OPPORTUNITIES TO INCREASE ENROLLMENT. | LitMetric

Predictors of Cardiac Rehabilitation Participation: OPPORTUNITIES TO INCREASE ENROLLMENT.

J Cardiopulm Rehabil Prev

Division 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.

Published: September 2021


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Article Abstract

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310538PMC
http://dx.doi.org/10.1097/HCR.0000000000000573DOI Listing

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