[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100629480":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":22,"locations":28,"responsibleParty":45,"collaborators":49,"id":53,"slug":10,"hasResults":54,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":58,"eligibilityCriteria":59,"healthyVolunteers":54,"sex":60,"minAge":61,"maxAge":10,"enrollmentInfo":62,"targetDuration":10,"studyType":65,"phases":10,"briefSummary":66,"conditions":67,"keywords":69,"overallStatus":31,"whyStopped":10,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":87},{"fullName":5,"class":6},"Polytechnic Institute of Porto","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Expert Panel",null,"Cohort of experts in physical activity and exercise with recognized scientific or professional experience and a relevant doctoral degree. Experts will validate a digital algorithm for health risk screening and individualized physical activity prescription via a modified online Delphi process. Two rounds of anonymous questionnaires will assess the relevance, clarity, and clinical appropriateness of algorithm components. If consensus (≥70% agreement) is not reached, a follow-up online focus group will resolve disagreements. Recruitment will be through institutional emails and professional networks. Participation is voluntary, with informed consent obtained. Panel size: 9-18 experts, consistent with Delphi methodology to ensure representativeness and robustness.",[13,17,19],{"name":14,"affiliation":15,"role":16},"Andreia SP Sousa","Center for Rehabilitation Research","STUDY_DIRECTOR",{"name":18,"affiliation":15,"role":16},"António M Montes",{"name":20,"affiliation":21,"role":16},"Anabela C Martins","H&TR-Health & Technology Research Center, Coimbra Health School, Polytechnic University of Coimbra",[23],{"name":24,"role":25,"phone":26,"phoneExt":10,"email":27},"Maria P Gomes, Masters student","CONTACT","+351 222 061 000","mapg@ess.ipp.pt",[29],{"facility":30,"status":31,"city":32,"state":10,"zip":33,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"School of Health - Polytechnic Institute of Porto","RECRUITING","Porto","4200-072","Portugal","PT",{"type":37,"coordinates":38},"Point",[39,40],-8.61097,41.1485,{"lat":40,"lon":39},[43],{"name":14,"role":25,"phone":26,"phoneExt":10,"email":44},"asp@ess.ipp.pt",{"type":46,"investigatorFullName":47,"investigatorTitle":48,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Maria Pereira Gomes","Master's Student",[50],{"name":51,"class":52},"Center for Rehabilitation Research - Polytechnic Institute of Porto (IPP)","UNKNOWN","100629480",false,"NCT07475221","Expert Validation of an Autonomous Personalized Physical Activity Algorithm","Validation of a Personalized Physical Activity Algorithm Via Modified e-Delphi (InnovaMotion Project)","APPA e-Delphi","Inclusion Criteria\n\n* Experts in Physical Activity and Exercise with recognized scientific or professional experience and a relevant doctoral degree.\n* Availability to complete two rounds of the online modified Delphi questionnaire.\n* Willingness to participate in an online focus group if consensus is not reached.\n* Ability and willingness to provide informed consent.\n\nExclusion Criteria\n\n* Individuals unable to provide informed consent.\n* Individuals without access to a computer, smartphone, tablet, or other internet-enabled device necessary to complete the online survey.","ALL","18 Years",{"count":63,"type":64},9,"ESTIMATED","OBSERVATIONAL","This study aims to validate a personalized physical activity algorithm for risk screening and individualized exercise prescription using a modified online Delphi process. International experts in physical activity and exercise will evaluate the algorithm's components over two rounds of questionnaires, with consensus defined as ≥70% agreement. If needed, a focus group will resolve any remaining disagreements. Validation of this algorithm may support safer, more effective autonomous exercise, promoting adherence, improved health outcomes, and population-level benefits.",[68],"Experts in Physical Activity Prescription and Risk Health Screening",[70,71,72,73,74,75,76,77],"eDelphi","physical activity","Modified Delphi","Digital Health","Expert Consensus","Exercise Prescription","screening","health risk stratification","2026-03-14",{"date":80,"type":81},"2026-03-17","ACTUAL",{"date":83,"type":81},"2026-03-10",{"date":85,"type":64},"2026-12",{"name":5,"class":6},1]