open access publication

Article, 2024

Society for Simulation in Healthcare Guidelines for Simulation Training

Simulation in Healthcare, ISSN 1559-2332, Volume 19, 1, Pages S4-S22, 10.1097/SIH.0000000000000776

Contributors

Stefanidis D. (Corresponding author) [1] Cook D.A. 0000-0003-2383-4633 [2] Kalantar-Motamedi S.-M. [1] Muret-Wagstaff S. [3] Calhoun A. Lauridsen K.G. 0000-0001-6686-1178 [4] [5] Paige J.T. [6] Lockey A. [7] Donoghue A. [8] Hall A.K. [9] Patocka C. 0000-0003-4683-5655 [10] Palaganas J. [11] Gross I.T. [12] Kessler D. [13] Vermylen J. [14] Lin Y. [15] Aebersold M. [16] Chang T.P. [17] Duff J.P. [18] Kolbe M. [19] Rutherford-Hemming T. [20] Decker S. [21] Collings A. Ansari M.T.

Affiliations

  1. [1] Indiana University
    2. [NORA names: United States; America, North; OECD];
  2. [2] Mayo Clinic
    3. [NORA names: United States; America, North; OECD];
  3. [3] Emory University School of Medicine
    4. [NORA names: United States; America, North; OECD];
  4. [4] Aarhus University
    5. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  5. [5] Randers Regional Hospital
    6. [NORA names: Central Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD];

Abstract

Background Simulation has become a staple in the training of healthcare professionals with accumulating evidence on its effectiveness. However, guidelines for optimal methods of simulation training do not currently exist. Methods Systematic reviews of the literature on 16 identified key questions were conducted and expert panel consensus recommendations determined using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology. Objective These evidence-based guidelines from the Society for Simulation in Healthcare intend to support healthcare professionals in decisions on the most effective methods for simulation training in healthcare Results Twenty recommendations on 16 questions were determined using GRADE. Four expert recommendations were also provided. Conclusions The first evidence-based guidelines for simulation training are provided to guide instructors and learners on the most effective use of simulation in healthcare.

Keywords

Guidelines, healthcare, simulation training

Funders

  • Society for Simulation in Healthcare
  • FP7 Socio-Economic Sciences and Humanities

Data Provider: Elsevier

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