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 Kolbe, Tonya Rutherford-Hemming,Sharon Decker,Amelia Collings,Mohammed Toseef Ansari

SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE(2024)

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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.
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Key words
Guidelines,simulation training,healthcare
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