NCT07507019

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

63
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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
185

participants targeted

Target at P75+ for not_applicable

Timeline
21mo left

Started Mar 2029

Geographic Reach
1 country

2 active sites

Status
not yet recruiting

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

Completed
9 days until next milestone

First Posted

Study publicly available on registry

April 2, 2026

Completed
2.9 years until next milestone

Study Start

First participant enrolled

March 1, 2029

Expected
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2030

9 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2030

Last Updated

April 2, 2026

Status Verified

March 1, 2026

Enrollment Period

1 year

First QC Date

March 24, 2026

Last Update Submit

March 28, 2026

Conditions

Keywords

chronic musculoskeletal painclinical simulationdigital trainingprimary care professionalseducational interventionusability SUSconcept shift

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)

EXPERIMENTAL

Participants 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.

Behavioral: PainTrain-AI Educational Training

Usual Training / Standard Practice (Control Arm)

ACTIVE COMPARATOR

Participants 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.

Behavioral: Usual Training / Standard Practice

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.

PainTrain-AI Educational Training (Cluster Implementation Arm)

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.

Usual Training / Standard Practice (Control Arm)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

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

Location

Specialized Care Comparative Setting

Lleida, Lleida, Spain

Location

Study Officials

  • Fran Valenzuela-Pascual, PhD

    IRBLleida / Universitat de Lleida

    STUDY DIRECTOR
  • Ester García Martínez, PhD

    Universitat de Lleida / IDIAP Jordi Gol

    STUDY DIRECTOR

Central Study Contacts

Fran Valenzuela Pascual, PhD

CONTACT

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
Model Details: Cluster-assigned parallel design in which entire Primary Care centers are allocated to either the intervention arm (PainTrain-AI) or the control arm (usual training/standard practice). Cluster allocation prevents contamination between groups. Outcomes are measured at T0, T1, and T2 for all participants within each cluster.
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.

Locations