TY - JOUR
T1 - Factors predicting the utilization of center-based cardiac rehabilitation program
AU - Young, Lufei
AU - Zhang, Qi
AU - Lian, Eric
AU - Roberts, Kimberly
AU - Weintraub, Neal
AU - Dong, Yanbin
AU - Zhu, Haidong
AU - Xu, Hongyan
AU - Schafer, Pascha
AU - Dunlap, Stephanie
N1 - Funding Information:
Acknowledgments: Weintraub is supported by grants HL124097, HL126949, HL134354, AR070029, and AG064895 from the National Institutes of Health.
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Attendance
KW - Cardiac rehabilitation
KW - Incompletion
KW - Neural network
KW - Principal components analysis
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U2 - 10.3390/geriatrics5040066
DO - 10.3390/geriatrics5040066
M3 - Article
C2 - 32998237
SN - 2308-3417
VL - 5
SP - 1
EP - 12
JO - Geriatrics (Switzerland)
JF - Geriatrics (Switzerland)
IS - 4
M1 - 66
ER -