Society for Simulation in Healthcare Guidelines for Simulation Training

Dimitrios Stefanidis*, David Cook, Seyed Mohammad Kalantar-Motamedi, Sharon Muret-Wagstaff, Aaron W. Calhoun, Kasper G. Lauridsen, John T. Paige, Andrew Lockey, Aaron Donoghue, Andrew K. Hall, Catherine Patocka, Janice Palaganas, Isabel T. Gross, David Kessler, Julia Vermylen, Yiqun Lin, Michelle Aebersold, Todd P. Chang, Jonathan Duff, Michaela KolbeTonya Rutherford-Hemming, Sharon Decker, Amelia Collings, Mohammed Toseef Ansari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)S4-S22
JournalSimulation in Healthcare
Volume19
Issue number1
DOIs
StatePublished - Jan 1 2024

Keywords

  • Guidelines
  • healthcare
  • simulation training

ASJC Scopus subject areas

  • Education
  • Epidemiology
  • Medicine (miscellaneous)
  • Modeling and Simulation

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