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Related Experiment Video

Updated: May 14, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Going DEEP: guidelines for building simulation-based team assessments.

James A Grand1, Marina Pearce, Tara A Rench

  • 1College of Health Professions, The University of Akron, Akron, OH 44325, USA. jgrand@uakron.edu

BMJ Quality & Safety
|January 29, 2013
PubMed
Summary
This summary is machine-generated.

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This study introduces the DEEP framework to guide the development of valid and reliable simulation-based team assessments. It empowers educators and researchers to create effective tools for evaluating team performance in simulations.

Area of Science:

  • Healthcare Education
  • Simulation-Based Assessment
  • Team Performance Evaluation

Background:

  • Effective simulation-based training requires robust assessment tools, yet guidance on development is limited.
  • Existing literature focuses on scenario design, neglecting assessment principles.
  • Lack of direct guidance hinders the creation of reliable simulation-based team assessments.

Purpose of the Study:

  • Introduce a generalizable framework for simulation-based team assessment.
  • Provide guidance on constructing valid and reliable assessment tools.
  • Empower healthcare professionals to design and employ effective assessments.

Main Methods:

  • The study presents the DEEP (Distinguish, Elaborate, Establish, Proceduralize) framework.

Related Experiment Videos

Last Updated: May 14, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

  • It offers actionable recommendations for assessing team processes and performance.
  • Guidance covers competency identification, behavioral measure elaboration, content validity, and proceduralization.
  • Main Results:

    • The DEEP framework provides a structured approach to assessment development.
    • It addresses the creation of measures for team processes and technical performance.
    • Recommendations ensure methodological rigor and alignment with simulation goals.

    Conclusions:

    • The DEEP framework offers fundamental principles for effective simulation-based assessment.
    • It benefits healthcare educators, professionals, and researchers.
    • The framework aids in designing and enhancing simulation-based assessment efforts.