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    Area of Science:

    • Medical Education
    • Simulation-Based Learning
    • Addiction Medicine

    Background:

    • Developed six high-fidelity simulations to foster stigma-free, evidence-based care for individuals with opioid use disorder (OUD).
    • The primary objective was to validate the accuracy and clinical relevance of simulation scenarios and content.

    Purpose of the Study:

    • To validate the content and scenarios of high-fidelity simulations designed for training healthcare professionals in empathetic, evidence-based, and stigma-free care for opioid use disorder (OUD).

    Main Methods:

    • Simulations were video-recorded for content validation in August 2022.
    • Expert assessment involved focus groups conducted via videoconferencing in September 2022.

    Main Results:

    • A panel of 10 healthcare providers, 5 nurse educators, and 1 family member affected by OUD validated the simulation content.
    • Thematic analysis revealed key areas for improvement, including enhancing realism, patient diversity, empathetic cueing, stigma reduction, and recognizing OUD as a chronic illness.
    • Experts also provided feedback on novel approaches for standardized patients and limitations of mannequins.

    Conclusions:

    • The expert evaluation validated the simulation content, enhancing its potential effectiveness in achieving desired learning outcomes for OUD care.
    • Validated simulations are poised to improve healthcare provider training and patient care in opioid use disorder.