[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Francesc Valenzuela Pascual\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":70},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":28,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":5},"100631925",false,"NCT07507019","PainTrain-AI Implementation Trial in Primary Care (Competency Gaps and Gender Bias)","Implementation of the Digital Intervention PainTrain-AI in Primary Care: Competency Gaps and Gender Bias in the Management of Chronic Musculoskeletal Pain","PT-AI-IMP","Inclusion Criteria:\n\n* Health professionals (medicine, nursing, physiotherapy, psychology, nutrition) working at participating Primary Care centers.\n* Active clinical practice during the study period.\n* Ability to access and use the digital platform (PainTrain-AI) and complete online assessments (T0, T1, T2).\n* Provides informed consent.\n\nExclusion Criteria:\n\n* Prior exposure to the PainTrain-AI platform within the previous 12 months (risk of contamination).\n* Planned absence or temporary leave during the evaluation windows (T0, T1, T2).\n* Inability to use the digital platform for technical reasons not solvable by support.\n* Declines participation.",true,"ALL","18 Years",{"count":20,"type":21},185,"ESTIMATED","INTERVENTIONAL",[24],"NA","Cluster trial to assess the effect of a digital clinical simulation (PainTrain AI) on clinical adequacy (0-100 rubric) across T0-T1-T2 in Primary Care. Secondary endpoints: SUS, adherence, low value practice indicators, and latency\u002Ffriction. The intervention is educational\u002Fbehavioral; the platform is non diagnostic and RAG fenced to validated content. Analysis per protocol: DiD and LMM\u002FGLMM.",[27],"Educational Intervention for Primary Care Professionals on Chronic Musculoskeletal Pain",[29,30,31,32,33,34,35],"chronic musculoskeletal pain","clinical simulation","digital training","primary care professionals","educational intervention","usability SUS","concept shift","NOT_YET_RECRUITING","2026-03-28",{"date":39,"type":40},"2026-04-02","ACTUAL",{"date":42,"type":21},"2029-03",{"date":44,"type":21},"2030-12",{"name":46,"class":47},"Francesc Valenzuela Pascual","OTHER",{"id":49,"slug":4,"hasResults":10,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":53,"eligibilityCriteria":54,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":55,"targetDuration":4,"studyType":22,"phases":57,"briefSummary":58,"conditions":59,"keywords":61,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":63,"startDateStruct":64,"completionDateStruct":66,"leadSponsor":68,"locationsCount":69},"100631232","NCT07497997","PainTrain-AI Pilot: Feasibility, Usability (SUS) and Concept-Shift in Primary Care and a Specialized Setting","Feasibility and Usability of a Digital Clinical Simulation (PainTrain AI) for Chronic Pain Training in Health Professionals: A Multicenter Pilot in Primary Care (ICS) and a Specialized Comparative Setting","PT-AI Pilot","Inclusion Criteria:\n\n* Health professionals in Primary Care (medicine, physiotherapy, nursing, psychology, nutrition) and specialized setting; willingness to use the platform; institutional approval.\n\nExclusion Criteria:\n\n* lack of institutional access; unavailability during pilot window",{"count":56,"type":21},40,[24],"This pilot will assess feasibility and usability (SUS) and explore concept shift (reduction of neurophysiology misconceptions) after exposure to a behavioral educational intervention (PainTrain AI), a digital clinical simulation \"fenced\" by evidence (RAG) for safe, non diagnostic training. The study will be conducted in Primary Care and in a specialized comparative setting, without patient data collection. Primary endpoint: SUS score. Secondary endpoints: concept shift, adherence to micromodules, and interaction latency as friction metric. The platform does not generate clinical advice; it retrieves validated teaching content.",[60],"Chronic Musculoskeletal Pain",[29,30,31,33,62,35,32],"usability (SUS)",{"date":39,"type":40},{"date":65,"type":21},"2027-01",{"date":67,"type":21},"2028-09",{"name":46,"class":47},1,""]