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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7930885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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