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Article

Factors Predicting the Utilization of Center-Based Cardiac Rehabilitation Program

by
Lufei Young
1,*,†,
Qi Zhang
2,†,
Eric Lian
3,
Kimberly Roberts
4,
Neal Weintraub
3,5,
Yanbin Dong
6,
Haidong Zhu
6,
Hongyan Xu
7,
Pascha Schafer
3 and
Stephanie Dunlap
3
1
College of Nursing, Augusta University, Augusta, GA 30912, USA
2
The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 999077, China
3
Departments of Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
4
Department of Nursing, School of Health Sentences, Georgia Highlands College, Rome, GA 30161, USA
5
Vascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
6
Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
7
Department of Biostats & Data, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Geriatrics 2020, 5(4), 66; https://doi.org/10.3390/geriatrics5040066
Submission received: 30 August 2020 / Revised: 18 September 2020 / Accepted: 22 September 2020 / Published: 28 September 2020
(This article belongs to the Section Cardiogeriatrics)
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Abstract

Although cardiac rehabilitation (CR) is clearly beneficial to improving patients’ physical functioning and reducing heart disease progression, significant proportions of patients do not complete CR programs. To evaluate the prevalence and predictors of completion of a center-based CR program in eligible cardiac patients, existing data collected from electronic medical records were used. To identify the predictors of CR completion, we used principal components analysis (PCA) and an artificial neural network (ANN) module. Among 685 patients, 61.4% (n = 421) completed the program, 31.7% (n = 217) dropped out, and 6.9% (n = 47) were referred but failed to initiate the program. PCA was conducted to consolidate baseline data into three factors—(1) psychosocial factors (depression, anxiety, and quality of life), (2) age, and (3) BMI, which explained 66.8% of the total variance. The ANN model produced similar results as the PCA. Patients who completed CR sessions had greater extremity strength and flexibility, longer six-minute walk distance, more CR knowledge, and a better quality of life. The present study demonstrated that patients who were older, obese, and who had depression, anxiety, or a low quality of life were less likely to complete the CR program.
Keywords: cardiac rehabilitation; incompletion; attendance; principal components analysis; neural network cardiac rehabilitation; incompletion; attendance; principal components analysis; neural network

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MDPI and ACS Style

Young, L.; Zhang, Q.; Lian, E.; Roberts, K.; Weintraub, N.; Dong, Y.; Zhu, H.; Xu, H.; Schafer, P.; Dunlap, S. Factors Predicting the Utilization of Center-Based Cardiac Rehabilitation Program. Geriatrics 2020, 5, 66. https://doi.org/10.3390/geriatrics5040066

AMA Style

Young L, Zhang Q, Lian E, Roberts K, Weintraub N, Dong Y, Zhu H, Xu H, Schafer P, Dunlap S. Factors Predicting the Utilization of Center-Based Cardiac Rehabilitation Program. Geriatrics. 2020; 5(4):66. https://doi.org/10.3390/geriatrics5040066

Chicago/Turabian Style

Young, Lufei, Qi Zhang, Eric Lian, Kimberly Roberts, Neal Weintraub, Yanbin Dong, Haidong Zhu, Hongyan Xu, Pascha Schafer, and Stephanie Dunlap. 2020. "Factors Predicting the Utilization of Center-Based Cardiac Rehabilitation Program" Geriatrics 5, no. 4: 66. https://doi.org/10.3390/geriatrics5040066

APA Style

Young, L., Zhang, Q., Lian, E., Roberts, K., Weintraub, N., Dong, Y., Zhu, H., Xu, H., Schafer, P., & Dunlap, S. (2020). Factors Predicting the Utilization of Center-Based Cardiac Rehabilitation Program. Geriatrics, 5(4), 66. https://doi.org/10.3390/geriatrics5040066

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