Checking an automated program for personalized exercise prescriptions
Validation of a Personalized Physical Activity Algorithm Via Modified e-Delphi (InnovaMotion Project)
Polytechnic Institute of Porto · NCT07475221
This project tries to see if an automated program can safely create personalized exercise prescriptions by getting agreement from international physical activity experts.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 9 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Polytechnic Institute of Porto (other) |
| Locations | 1 site (Porto) |
| Trial ID | NCT07475221 on ClinicalTrials.gov |
What this trial studies
The study uses a modified online Delphi process to refine and validate an autonomous personalized physical activity algorithm for risk screening and individualized exercise prescription. International experts complete two consecutive rounds of online questionnaires to rate the relevance, clarity, and clinical appropriateness of algorithm components, with consensus defined as ≥70% agreement. If items remain unresolved after the second round, an online focus group will be held to discuss and resolve disagreements. The goal is to produce a consensus-validated algorithm that could support safer autonomous exercise guidance and improve adherence and health outcomes.
Who should consider this trial
Good fit: Ideal participants are international physical activity and exercise experts with recognized scientific or professional experience, typically holding a relevant doctoral degree and available to complete two online Delphi rounds.
Not a fit: People without clinical or scientific expertise in physical activity, and those without reliable internet access, are not the intended participants and would not directly benefit from taking part in this validation process.
Why it matters
Potential benefit: If successful, the algorithm could enable safer, more effective automated exercise prescriptions that improve adherence and health outcomes.
How similar studies have performed: Delphi and e-Delphi methods are well-established for building expert consensus in healthcare, but formal validation of autonomous personalized physical activity algorithms is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria * Experts in Physical Activity and Exercise with recognized scientific or professional experience and a relevant doctoral degree. * Availability to complete two rounds of the online modified Delphi questionnaire. * Willingness to participate in an online focus group if consensus is not reached. * Ability and willingness to provide informed consent. Exclusion Criteria * Individuals unable to provide informed consent. * Individuals without access to a computer, smartphone, tablet, or other internet-enabled device necessary to complete the online survey.
Where this trial is running
Porto
- School of Health - Polytechnic Institute of Porto — Porto, Portugal (RECRUITING)
Study contacts
- Study coordinator: Maria P Gomes, Masters student
- Email: mapg@ess.ipp.pt
- Phone: +351 222 061 000
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Experts in Physical Activity Prescription and Risk Health Screening, eDelphi, physical activity, Modified Delphi, Digital Health, Expert Consensus, Exercise Prescription, screening