PainTrain-AI Implementation Trial in Primary Care (Competency Gaps and Gender Bias)
PT-AI-IMP
Implementation of the Digital Intervention PainTrain-AI in Primary Care: Competency Gaps and Gender Bias in the Management of Chronic Musculoskeletal Pain
1 other identifier
interventional
185
1 country
2
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2029
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 24, 2026
CompletedFirst Posted
Study publicly available on registry
April 2, 2026
CompletedStudy Start
First participant enrolled
March 1, 2029
ExpectedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2030
Study Completion
Last participant's last visit for all outcomes
December 1, 2030
April 2, 2026
March 1, 2026
1 year
March 24, 2026
March 28, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Clinical adequacy score (0-100 rubric)
Clinical adequacy will be assessed using a validated 0-100 rubric applied to standardized clinical cases. Scores range from 0 (lowest adequacy) to 100 (highest adequacy), and higher scores indicate a better clinical outcome. The rubric evaluates three domains: (1) evaluation/triage (appropriate tests and red-flag assessment), (2) therapeutic recommendation (prioritizing active strategies and evidence-based pain education), and (3) clinical communication (avoiding iatrogenic messages and establishing functional goals). Scores are generated by double-blinded assessors with adjudication by a third reviewer in case of disagreement (target kappa ≥0.70). Change will be analyzed from T0 to T1 and T2.
Baseline (T0), immediate post-training (T1), and 3-month follow-up (T2)
Secondary Outcomes (4)
System Usability Scale (SUS, 0-100)
Immediately after training
Adherence to PainTrain-AI micromodules (% completed)
During the training period (up to 4 weeks)
Low-value clinical practice indicators (count per case)
Baseline, immediately after training, and 3 months after training
System latency (seconds)
During the training period (up to 4 weeks)
Study Arms (2)
PainTrain-AI Educational Training (Cluster Implementation Arm)
EXPERIMENTALParticipants in Primary Care centers allocated to the intervention cluster receive the PainTrain-AI behavioral educational training. The intervention consists of simulated clinical encounters with virtual standardized patients and interactive micromodules, using a RAG-fenced architecture restricted to validated clinical content. All participants in this arm complete T0, T1, and T2 assessments.
Usual Training / Standard Practice (Control Arm)
ACTIVE COMPARATORParticipants in Primary Care centers allocated to the control cluster follow usual training and standard practice available at their institution. No exposure to the PainTrain-AI platform occurs during the study period. Centers continue their routine continuing medical education activities. All participants complete T0-T1-T2 assessments with the same standardized clinical cases and rubric. This arm serves as the active comparator for evaluating changes in clinical adequacy, low-value practice indicators, and gender-related decision patterns.
Interventions
PainTrain-AI is a behavioral educational intervention delivered through a digital clinical simulation platform. The system uses a retrieval-augmented generation (RAG) safety architecture that restricts all outputs to validated clinical content; the platform is non-diagnostic and does not generate new clinical information. Participants complete simulated consultations with virtual standardized patients and a series of brief micromodules designed to train biopsychosocial clinical reasoning for chronic musculoskeletal pain. The intervention is used exclusively for professional training and does not involve patient data. All participants in the intervention arm complete assessments at T0, T1, and T2.
Participants continue with usual training and standard practice available at their institution. No exposure to PainTrain-AI occurs. This arm serves as the active comparator.
Eligibility Criteria
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Institut Català de la Salut (ICS) - Primary Care Network
Lleida, Lleida, Spain
Specialized Care Comparative Setting
Lleida, Lleida, Spain
Study Officials
- STUDY DIRECTOR
Fran Valenzuela-Pascual, PhD
IRBLleida / Universitat de Lleida
- STUDY DIRECTOR
Ester García Martínez, PhD
Universitat de Lleida / IDIAP Jordi Gol
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Masking Details
- No participant or investigator masking is applied. Outcome assessors scoring the 0-100 clinical adequacy rubric are blinded to arm allocation and timepoint, with adjudication by a third reviewer in case of disagreement.
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Principal Investigator (Sponsor-Investigator)
Study Record Dates
First Submitted
March 24, 2026
First Posted
April 2, 2026
Study Start (Estimated)
March 1, 2029
Primary Completion (Estimated)
March 1, 2030
Study Completion (Estimated)
December 1, 2030
Last Updated
April 2, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share
No individual participant data (IPD) will be shared because the study does not involve patient data or clinical individual-level information. All datasets refer to health professionals and are pseudoanonymized. Only aggregated results and anonymized usage datasets (logs, codebooks, processed data) may be shared after study completion following FAIR principles, as described in the Data Management Plan.