open access publication

Article, 2024

Society for Simulation in Healthcare Guidelines for Simulation Training

Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, ISSN 1559-713X, 1559-2332, Volume 19, 1S, Pages s4-s22, 10.1097/sih.0000000000000776

Contributors

Stefanidis, Dimitrios 0000-0002-2177-0763 [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] Cook, David Kalantar Motamedi, Seyed Mohammad 0000-0002-7650-4657 Muret-Wagstaff, Sharon Calhoun, Aaron William Lauridsen, Kasper Glerup 0000-0001-6686-1178 Paige, John T Lockey, Andrew S 0000-0002-3900-6317 Donoghue, Aaron Hall, Andrew K Patocka, Catherine Palaganas, Janice C 0000-0002-2507-8643 Gross, Isabel Theresia 0000-0003-4410-6758 Kessler, David Oren 0000-0002-1636-7320 Vermylen, Julia Lin, Yiqun 0000-0002-4726-5992 Aebersold, Michelle Chang, Todd Pou-Yen 0000-0002-4508-2551 Duff, Jonathan Peter 0000-0002-7717-459X Kolbe, Michaela 0000-0001-6654-6370 Rutherford-Hemming, Tonya 0000-0003-2573-8442 Decker, Sharon Collings, Amelia Toseef Ansari, Mohammed

Affiliations

  1. [1] Aarhus University
  2. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Alberta Children's Hospital
  4. [NORA names: Canada; America, North; OECD];
  5. [3] Calderdale and Huddersfield NHS Foundation Trust
  6. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  7. [4] Children's Hospital of Los Angeles
  8. [NORA names: United States; America, North; OECD];
  9. [5] Columbia University
  10. [NORA names: United States; America, North; 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

Recommendations Assessment, Society for Simulation, assessment, consensus recommendations, decision, development, effect, effective method, effective use, evaluation, evidence, evidence-based guidelines, expert recommendations, grade, guidelines, healthcare, healthcare guidelines, healthcare professionals, identified key questions, instructors, key questions, learners, literature, method, method of simulation training, optimization method, professionals, questions, recommendations, review, simulation, simulation training, society, staple, systematic review, training, training of healthcare professionals, use

Data Provider: Digital Science