Literature DB >> 24142042

Cardiac rehabilitation enrollment among referred patients: patient and organizational factors.

Karam I Turk-Adawi1, Neil B Oldridge, Sergey S Tarima, William B Stason, Donald S Shepard.   

Abstract

PURPOSE: Cardiac rehabilitation (CR) is underutilized despite well-documented benefits for patients with coronary heart disease. The purpose of this study was to identify organizational and patient factors associated with CR enrollment.
METHODS: Facilities of the Wisconsin Cardiac Rehabilitation Outcomes Registry (N = 38) were surveyed, and the records of referred patients were analyzed. Generalized estimating equations were used to account for clustering of patients within facilities.
RESULTS: Of the 6874 patients referred to the 38 facilities, 67.6% (n = 4,644) enrolled in CR. Patients receiving coronary artery bypass grafting (adjusted odds ratio [OR], 1.72; 95% CI: 1.36-2.19) and those who possessed health insurance (OR, 3.04; 95% CI: 2.00-4.63) were more likely to enroll. Enrollment was also positively impacted by organizational factors, including promotion of CR program (OR, 2.35; 95% CI: 1.39-4.00), certification by the American Association of Cardiovascular Pulmonary Rehabilitation (OR, 2.63; 95% CI: 1.32-5.35), and a rural location (OR, 3.30; 95% CI: 2.35-4.64). Patients aged ≥65 years (OR, 0.81; 95% CI: 0.74-0.90) and patients with heart failure (OR, 0.40; 95% CI: 0.22-0.72), diabetes (OR, 0.58; 95% CI: 0.37-0.89), myocardial infarction without a cardiac procedure (OR, 0.78; 95% CI: 0.67-0.90), previous coronary artery bypass grafting (OR, 0.72; 95% CI: 0.56-0.92), depression (OR, 0.56; 95% CI: 0.36-0.88), or current smoking (OR, 0.59; 95% CI: 0.44-0.78) were less likely to enroll.
CONCLUSIONS: Predictors of patient enrollment in CR following referral included both organizational and personal factors. Modifiable organizational factors that were associated either positively or negatively with enrollment in CR may help directors of CR programs improve enrollment.

Entities:  

Mesh:

Year:  2014        PMID: 24142042     DOI: 10.1097/HCR.0000000000000017

Source DB:  PubMed          Journal:  J Cardiopulm Rehabil Prev        ISSN: 1932-7501            Impact factor:   2.081


  11 in total

Review 1.  Smoking and cardiac rehabilitation participation: Associations with referral, attendance and adherence.

Authors:  Diann E Gaalema; Alexander Y Cutler; Stephen T Higgins; Philip A Ades
Journal:  Prev Med       Date:  2015-04-18       Impact factor: 4.018

Review 2.  Action plan for improving cardiac rehabilitation-related outcomes in a university hospital based on a review of previous interventions.

Authors:  Carol Elsakr; Leesa Wright; Pooja S Jagadish; David A Bulger; Uzoma N Ibebuogu; Rami N Khouzam
Journal:  Ann Transl Med       Date:  2019-09

Review 3.  Barriers physicians face when referring patients to cardiac rehabilitation: a narrative review.

Authors:  Carol Elsakr; David A Bulger; Sherif Roman; Irene Kirolos; Rami N Khouzam
Journal:  Ann Transl Med       Date:  2019-09

4.  Factors Associated With Cardiac Rehabilitation Participation in Older Adults After Myocardial Infarction: THE SILVER-AMI STUDY.

Authors:  David W Goldstein; Alexandra M Hajduk; Xuemei Song; Sui Tsang; Mary Geda; John A Dodson; Daniel E Forman; Harlan Krumholz; Sarwat I Chaudhry
Journal:  J Cardiopulm Rehabil Prev       Date:  2022-03-01       Impact factor: 2.081

5.  Influence of Depression on Utilization of Cardiac Rehabilitation Postmyocardial Infarction: A STUDY OF 158 991 MEDICARE BENEFICIARIES.

Authors:  Melissa D Zullo; Emily C Gathright; Mary A Dolansky; Richard A Josephson; Vinay K Cheruvu; Joel W Hughes
Journal:  J Cardiopulm Rehabil Prev       Date:  2017-01       Impact factor: 2.081

6.  Sociodemographic Predictors in Failure to Complete Outpatient Cardiac Rehabilitation.

Authors:  Behzad Heydarpour; Mozhgan Saeidi; Parvin Ezzati; Ali Soroush; Saeid Komasi
Journal:  Ann Rehabil Med       Date:  2015-12-29

7.  Development of a Simple Clinical Tool for Predicting Early Dropout in Cardiac Rehabilitation: A SINGLE-CENTER RISK MODEL.

Authors:  Quinn R Pack; Paul Visintainer; Michel Farah; Grace LaValley; Heidi Szalai; Peter K Lindenauer; Tara Lagu
Journal:  J Cardiopulm Rehabil Prev       Date:  2021-05-01       Impact factor: 2.081

8.  Effects of a 3-year nurse-based case management in aged patients with acute myocardial infarction on rehospitalisation, mortality, risk factors, physical functioning and mental health. a secondary analysis of the randomized controlled KORINNA study.

Authors:  Inge Kirchberger; Matthias Hunger; Björn Stollenwerk; Hildegard Seidl; Katrin Burkhardt; Bernhard Kuch; Christa Meisinger; Rolf Holle
Journal:  PLoS One       Date:  2015-03-26       Impact factor: 3.240

9.  Predictors of Cardiac Rehabilitation Utilization in England: Results From the National Audit.

Authors:  Jennifer Sumner; Sherry L Grace; Patrick Doherty
Journal:  J Am Heart Assoc       Date:  2016-10-21       Impact factor: 5.501

10.  Shared care versus hospital-based cardiac rehabilitation: a cost-utility analysis based on a randomised controlled trial.

Authors:  Jannik B Bertelsen; Nasrin Tayyari Dehbarez; Jens Refsgaard; Helle Kanstrup; Søren P Johnsen; Ina Qvist; Bo Christensen; Rikke Søgaard; Kent L Christensen
Journal:  Open Heart       Date:  2018-02-07
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