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PainTrain-AI Implementation Trial in Primary Care (Competency Gaps and Gender Bias)

Not yet recruitingNot applicableNCT07507019
View the official record on ClinicalTrials.gov

Recruiting status changes often. Contact the study team listed on ClinicalTrials.gov, and talk to your doctor before joining a study.

This study has no listed site in Canada in this snapshot. It is included as part of the worldwide chronic pain corpus.

Brief summary (from the registry)

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/friction. The intervention is educational/behavioral; the platform is non diagnostic and RAG fenced to validated content. Analysis per protocol: DiD and LMM/GLMM.

Study details

Official title
Implementation of the Digital Intervention PainTrain-AI in Primary Care: Competency Gaps and Gender Bias in the Management of Chronic Musculoskeletal Pain
Conditions
  • Educational Intervention for Primary Care Professionals on Chronic Musculoskeletal Pain
Interventions
  • Behavioral: PainTrain-AI Educational Training
  • Behavioral: Usual Training / Standard Practice
Sponsor
Francesc Valenzuela Pascual
Organization
Universitat de Lleida
Start date
2029-03
Primary completion
2030-03
Sex
All
Age range
from 18 Years
Healthy volunteers
true
Results posted
No results posted in this snapshot
Countries
Spain
Total sites listed
2

Eligibility criteria

Show eligibility criteria (verbatim from the registry)
Inclusion Criteria: * Health professionals (medicine, nursing, physiotherapy, psychology, nutrition) working at participating Primary Care centers. * Active clinical practice during the study period. * Ability to access and use the digital platform (PainTrain-AI) and complete online assessments (T0, T1, T2). * Provides informed consent. Exclusion Criteria: * Prior exposure to the PainTrain-AI platform within the previous 12 months (risk of contamination). * Planned absence or temporary leave during the evaluation windows (T0, T1, T2). * Inability to use the digital platform for technical reasons not solvable by support. * Declines participation.

Source: ClinicalTrials.gov (US National Library of Medicine), snapshot October 2026. Check the registry for current recruiting status. Record: https://clinicaltrials.gov/study/NCT07507019