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Improving Resident Performance Through a Simulated Rapid Response Team: A Pilot Study.

Peter A Burke, Michael T Vest, Hemant Kher

    The Journal of the American Osteopathic Association
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    This study shows that a team-based rapid response team (RRT) training program improved resident education and performance. The training enhanced medical decision-making and teamwork skills, potentially leading to better patient outcomes during RRT events.

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    Area of Science:

    • Medical Education
    • Patient Safety
    • Healthcare Quality Improvement

    Background:

    • Hospitals must have systems for rapid recognition and response to patient deterioration.
    • Rapid Response Teams (RRTs) are widely adopted to meet this requirement.
    • The role of residents in RRTs and its impact on education remain areas of discussion.

    Purpose of the Study:

    • To evaluate a team-based, interdisciplinary RRT training program for first-year residents.
    • To enhance overall RRT performance before residents begin their second year.
    • To improve resident education and interdisciplinary team dynamics.

    Main Methods:

    • A 3-phase pilot study involving didactic sessions, case-based scenarios, and confidence surveys.
    • Experiential training with residents participating in actual RRT calls under mentorship.
    • Simulated RRT scenarios with residents rotating through leadership and team roles, scored on decision-making and team behaviors.

    Main Results:

    • Average test scores improved by 20% post-didactic training.
    • Resident confidence scores increased by 14% (from 69% to 83%).
    • High-quality team behaviors strongly correlated with medical decision-making, with a narrowing gap during high-pressure simulations.

    Conclusions:

    • Team-based, interdisciplinary RRT training can enhance resident education and RRT performance.
    • The program may improve interdisciplinary team dynamics and patient outcomes.
    • Training positively impacts critical skills like data gathering and medical decision-making during RRT scenarios.