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Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors

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 (ExR(x)) for patients with multiple CVD risk factors. To address this unmet need, we developed a n...

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Detalles Bibliográficos
Autores principales: Pescatello, Linda S., Wu, Yin, Panza, Gregory A., Zaleski, Amanda, Guidry, Margaux
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930885/
https://www.ncbi.nlm.nih.gov/pubmed/33718793
http://dx.doi.org/10.1016/j.mayocpiqo.2020.08.005
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author Pescatello, Linda S.
Wu, Yin
Panza, Gregory A.
Zaleski, Amanda
Guidry, Margaux
author_facet Pescatello, Linda S.
Wu, Yin
Panza, Gregory A.
Zaleski, Amanda
Guidry, Margaux
author_sort Pescatello, Linda S.
collection PubMed
description 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 (ExR(x)) 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 ExR(x) for people with multiple CVD risk factors; and (4) the ACSM frequency, intensity, time, and time principle of ExR(x). We have tested the clinical utility of P3-EX within a university-based online graduate program in ExR(x) 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 ExR(x) 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 ExR(x) tool.
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spelling pubmed-79308852021-03-12 Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors Pescatello, Linda S. Wu, Yin Panza, Gregory A. Zaleski, Amanda Guidry, Margaux Mayo Clin Proc Innov Qual Outcomes Brief Report 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 (ExR(x)) 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 ExR(x) for people with multiple CVD risk factors; and (4) the ACSM frequency, intensity, time, and time principle of ExR(x). We have tested the clinical utility of P3-EX within a university-based online graduate program in ExR(x) 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 ExR(x) 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 ExR(x) tool. Elsevier 2020-10-22 /pmc/articles/PMC7930885/ /pubmed/33718793 http://dx.doi.org/10.1016/j.mayocpiqo.2020.08.005 Text en © 2020 Mayo Foundation for Medical Education and Research http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Pescatello, Linda S.
Wu, Yin
Panza, Gregory A.
Zaleski, Amanda
Guidry, Margaux
Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors
title Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors
title_full Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors
title_fullStr Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors
title_full_unstemmed Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors
title_short Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors
title_sort development of a novel clinical decision support system for exercise prescription among patients with multiple cardiovascular disease risk factors
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930885/
https://www.ncbi.nlm.nih.gov/pubmed/33718793
http://dx.doi.org/10.1016/j.mayocpiqo.2020.08.005
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