Feasibility and Acceptability of a Novel Algorithm for Physicians to Prescribe Personalized Exercise Prescriptions to Patients with Cardiovascular Disease Risk Factors: Study Protocol for an Exploratory Randomized Controlled Crossover Trial
Alexander J. Wright, Gregory A. Panza, Antonio B. Fernandez, Peter F. Robinson, Victoria R. DeScenza, Ming-Hui Chen, Elaine C. Lee, Margaux A. Guidry, Linda S. Pescatello

TL;DR
This study tests a new digital tool for doctors to prescribe personalized exercise to patients with heart disease risk factors.
Contribution
The study introduces and evaluates a novel algorithm (P3-EX) for personalized exercise prescriptions in clinical practice.
Findings
The study will assess the feasibility and acceptability of the P3-EX algorithm among physicians and patients.
Patient cardiovascular risk factors and physical activity will be measured before and after a 12-week exercise intervention.
Results will inform the potential of P3-EX as a digital health tool to improve cardiovascular health.
Abstract
Background: Approximately half of U.S. adults have ≥1 cardiovascular disease (CVD) risk factors. Exercise is universally recommended as a first-line lifestyle therapy to prevent and treat CVD. Objective: We will conduct a feasibility and pilot efficacy randomized controlled trial to test the usability and user satisfaction of an evidence-based digital health tool we developed for physicians—the Prioritizes Personalizes Prescribes EXercise algorithm (P3-EX)—to treat patients with CVD risk factors (ClinicalTrials.gov: NCT07238556). Methods: We will recruit 24 physicians who do not prescribe written exercise prescriptions (ExRx) from two local CT hospitals. Physicians will recruit two patients each (N = 48); both patients must have CVD risk factors. Each physician will deliver a P3-EX ExRx to one patient (n = 24) and the Physical Activity Vital Sign ExRx to the other patient (n = 24) in a…
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Taxonomy
TopicsPhysical Activity and Health · Cardiovascular and exercise physiology · Cardiac Health and Mental Health
