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Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple
Linda S Pescatello1, Yin Wu1, Gregory A Panza1
1Department of Kinesiology, University of Connecticut, Storrs, CT.
Abstract:
Cardiovascular disease (CVD) risk factors cluster in an individual. Exercise is universally recommended to prevent and treat CVD. Yet, clinicians lack guidance on how to design an exercise prescription (ExRx) for patients with multiple CVD risk factors. To address this unmet need, we developed a novel clinical decision support system to prescribe exercise (prioritize personalize prescribe exercise [P3-EX]) for patients with multiple CVD risk factors founded upon the evidenced-based recommendations of the American College of Sports Medicine (ACSM) and American Heart Association. To develop P3-EX, we integrated (1) the ACSM exercise preparticipation health screening recommendations; (2) an adapted American Heart Association Life's Simple 7 cardiovascular health scoring system; (3) adapted ACSM strategies for designing an ExRx for people with multiple CVD risk factors; and (4) the ACSM frequency, intensity, time, and time principle of ExRx. We have tested the clinical utility of P3-EX within a university-based online graduate program in ExRx among students that includes physicians, physical therapists, registered dietitians, exercise physiologists, kinesiologists, fitness industry professionals, and kinesiology educators in higher education. The support system P3-EX has proven to be an easy-to-use, guided, and time-efficient evidence-based approach to ExRx for patients with multiple CVD risk factors that has applicability to other chronic diseases and health conditions. Further evaluation is needed to better establish its feasibility, acceptability, and clinical utility as an ExRx tool.
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