Society for Simulation in Healthcare Guidelines for Simulation Training
Dimitrios Stefanidis, David A. Cook, Mohammadreza Kalantar Motamedi, Sharon Muret-Wagstaff, Aaron W. Calhoun, Kasper Glerup Lauridsen, John T. Paige, Andrew Lockey, Aaron Donoghue, Andrew K. Hall, Catherine Patocka, Janice C. Palaganas, Isabel T. Gross, David Kessler, Julia H. Vermylen, Yiqun Lin, Michelle Aebersold, Todd P. Chang, Jonathan P. Duff, Michaela Kolbe, Tonya Rutherford-Hemming, Sharon Decker, Amelia T. Collings, Mohammed Toseef Ansari
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.