Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study.
Amanda L Zaleski, Rachel Berkowsky, Kelly Jean Thomas Craig...
https://pubmed.ncbi.nlm.nih.gov/38206661Actively Recruiting
Phase Not Applicable
Age: 18Years - 64Years
All Genders
ID07238556
Feasibility and Acceptability of a Novel Algorithm for Physicians to Prescribe Personalized Exercise to Patients With Cardiovascular Disease Risk Factors
Led by University of Connecticut · Updated on 2026-04-15
72
Participants Needed
3
Research Sites
N/A
Total Duration
On this page
Sponsors
U
University of Connecticut
Lead Sponsor
H
Hartford HealthCare
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are evaluating a new digital health tool called Prioritize Personalize Prescribe EXercise (P3-EX) designed to help physicians prescribe personalized exercise plans to adults with cardiovascular disease (CVD) risk factors such as obesity, hypertension, dyslipidemia, and diabetes. This pilot randomized controlled trial aims to test the usability and satisfaction of P3-EX compared to a standard exercise prescription method (ACSM Physical Activity Vital Sign) among physicians and their patients. The study addresses barriers physicians face in prescribing exercise, including lack of time, training, and tools. Physicians recruited for the study will each recruit two patients with CVD risk factors. One patient receives a personalized exercise prescription using P3-EX, and the other receives a generic exercise program based on ACSM guidelines, delivered in a random crossover design. Patients will follow their assigned exercise plans unsupervised for 12 weeks with virtual weekly support from graduate research assistants. The P3-EX tool assesses cardiovascular risk factors, prioritizes the greatest risk, and creates a tailored Frequency, Intensity, Time, and Type (FITT) exercise prescription. Patients will record their exercise activities in a diary and receive weekly progress reports and guidance. Participants will attend several in-person visits for assessments including cardiovascular risk factors, physical activity levels measured by accelerometry, and blood tests. Physicians and patients will rate the feasibility and acceptability of each prescription method shortly after delivery. Patient exercise adherence and changes in cardiovascular health and physical activity will be monitored over 12 weeks. The study includes virtual visits for guidance and ends with follow-up assessments to evaluate patient satisfaction and health outcomes. The total participation time for patients covers baseline and post-intervention visits plus the 12-week exercise period.
CONDITIONS
Brief Title
A Novel Digital Tool Physicians Can Use to Prescribe Exercise to Patients With Cardiovascular Disease Risk Factors
Who Can Participate
Age: 18Years - 64Years
All Genders
Eligibility Criteria
You may qualify if you...
- Physicians who are practicing medical doctors at the study sites
- Physicians who do not currently recommend written exercise plans or refer patients to exercise professionals
- Physicians willing to recruit two patients for both P3-EX and ACSM-PAVS exercise prescriptions
- Patients aged 18 to 64 years
- Patients sedentary, not performing moderate structured exercise at least 30 minutes on 3 or more days per week in the last 3 months
- Patients with at least one cardiovascular risk factor: obesity, hypertension, dyslipidemia, or diabetes (including prediabetes)
- Patients classified as healthy without signs or symptoms of cardiovascular, renal, or other diseases limiting physical activity
- Patients not pregnant or lactating
- Patients who do not smoke or quit smoking at least 6 months ago
- Patients consuming fewer than 2 alcoholic drinks daily
- Patients able to use a computer or phone with internet access
- Patients fluent in English
- Patients willing to maintain current medication routines and diet, and not follow other exercise or nutrition programs
You will not qualify if you...
- Patients experiencing chest, neck, jaw, or arm pain; dizziness; shortness of breath at rest or mild exertion; unusual fatigue; swelling; palpitations; or known heart murmur
- Patients who are stroke or cancer survivors, currently have cancer, chronic obstructive pulmonary disease, musculoskeletal injuries, chronic back pain, depression, dementia, or other health conditions limiting physical activity engagement
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
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2
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Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
2 in-person visits at the start for consent, eligibility confirmation, and baseline assessments
Treatment
Duration - 12 weeks
Participants receive one of two 12-week unsupervised exercise programs with virtual weekly oversight from research assistants, including exercise guidance visits and weekly email support.
Two virtual visits for exercise guidance and weekly email updates; exercise adherence tracked weekly
Follow-up
Duration - Immediately after treatment
Participants attend two in-person visits to assess cardiovascular health, physical activity levels, and trial satisfaction after completing the exercise program.
2 in-person visits for post-intervention assessments
Trial Site Locations
Total: 3 locations
1
UConn Health
Farmington, Connecticut, United States, 06030
Not Yet Recruiting
2
Hartford HealthCare
Hartford, Connecticut, United States, 06102
Actively Recruiting
3
University of Connecticut
Storrs, Connecticut, United States, 06269
Actively Recruiting
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Research Team
A
Alexander J Wright, MS
L
Linda S Pescatello, PhD
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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Published Research Related To This Trial
An exercise prescription algorithm for clinicians to use with their patients with cardiovascular disease risk factors.
Shiqi Chen, Yin Wu, Justin Kennedy...
https://pubmed.ncbi.nlm.nih.gov/40677518Evaluation of Exercise Mobile Applications for Adults with Cardiovascular Disease Risk Factors.
Shiqi Chen, Yin Wu, Erica L Bushey...
https://pubmed.ncbi.nlm.nih.gov/38132645Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors.
Linda S Pescatello, Yin Wu, Gregory A Panza...
https://pubmed.ncbi.nlm.nih.gov/33718793Feasibility 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...
https://pubmed.ncbi.nlm.nih.gov/41595324