P3-Ex Research Highlights
Development of a novel clinical decision support system for exercise
prescription among patients with multiple CVD risk factors.
Pescatello et al., 2020, Mayo Clin Proc Innov Qual Outcomes.
Overview: Exercise has been established as key lifestyle approach to prevent and treat chronic disease, however clinicians lack the evidence-based guidance on how to prescribe exercise for patients with chronic disease. To address this clinical need, a novel evidenced based clinical decision support system “Prioritize, Personalize, Prescribe Exercise” (P3-Ex) was developed to design individualized exercise prescriptions for patients who exhibit cardiovascular disease risk factors who may also have other health conditions.
Key Takeaways: P3-EX is an easy-to-use, guided, and time-efficient evidence-based approach to exercise prescription for patients with multiple cardiovascular disease risk factors that has applicability to other chronic diseases and health conditions.
Evaluation of exercise mobile applications for adults with cardiovascular disease risk factors
Chen et al., 2023, J Cardiovasc Dev Dis.
Overview: While exercise has been established as an effective lifestyle intervention to prevent and treat cardiovascular disease and its risk factors, an exercise prescription is most effective when targeting specific health outcomes posing the greatest health risk. Having a tool to design individualized exercise prescriptions for their patients is paramount for clinicians, yet the landscape of publicly available exercise prescription applications is unknown. Chen's systematic review was to determine if evidence-based exercise prescription applications exist that clinicians could use to prescribe individualized exercise prescription for adults with cardiovascular disease risk factors or other chronic diseases or health conditions.
Key Takeaways: Dr. Pescatello’s team found that there are currently no exercise applications on the market that offer clinicians an easy-to-use, guided, and time-efficient evidence-based approach to exercise prescription for patients with multiple cardiovascular disease risk factors.
Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study
Zaleski et al., 2024, JMIR Medical Education
Overview: To explore the potential of incorporating artificial intelligence (AI) into P3-EX to enhance its user-friendliness, precision, and effectiveness, Dr. Pescatello and her team evaluated the quality of exercise recommendations generated by an AI-based chatbot. The study assessed whether ChatGPT (version 3.5) could support the evidence-based exercise prescription (ExRx) recommendations of the American College of Sports Medicine (ACSM). The research compared AI-generated exercise prescriptions to the ACSM FITT (Frequency, Intensity, Time, and Type) ExRx standards for 26 clinical and healthy populations.
Key Takeaways: The AI-based ChatGPT generated exercise recommendations demonstrated poor comprehensiveness, providing only about 41% of the content in the gold-standard ACSM FITT ExRx recommendations. Of the content provided, accuracy was high (91%), but had a college level reading level that is too high for most individuals, biaes toward aerobic exercise, age, and those with disability, and inconsistencies in terminology. The authors concluded that users should exercise caution when using AI-generative tools alone, rather they should be combined with clinical expertise and oversight. factors.
An Exercise Prescription Algorithm For Clinicians and Patients with Cardiovascular Disease Risk Factors
Chen et al., 2023, Abstract, Medicine & Science in Sports & Exercise
Overview: P3-EX is web-based exercise prescription software that clinicians can use to Prioritize, Personalize and Prescribe exercise for individuals with cardiovascular disease risk factors. Developed by Dr. Pescatello and her research team, they evaluated P3-EX in a recent feasibility study, and found the clinician users were very satisfied with P3-EX and most would recommend it to their colleagues. In addition, they stated P3-EX helps improve patient health, supports safe exercise prescription, and saves time.
Key Takeaways: P3-EX shows strong potential to improve the use of exercise as lifestyle medicine to prevent and treat cardiovascular disease because it meets an unmet clinical need, it is based in strong science, and it fills a unique marketing niche. Given clinicians' challenges with time, confidence, and resources in prescribing exercise, P3-EX is fast, easy to use web-based software requiring no training that can overcome provider barriers to recommending exercise to their patients.
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