Society for Simulation in Healthcare Guidelines for Simulation Training


Dimitrios Stefanidis, Indiana University School of Medicine, Indianapolis, IN
David Cook, Mayo Clinic, Rochester, MN
Seyed-Mohammad Kalantar-Motamedi, Indiana University School of Medicine, Indianapolis, IN
Sharon Muret-Wagstaff, Emory University, Atlanta, GA
Aaron W. Calhoun, University of Louisville School of Medicine and Norton Children's Medical Group, Louisville, KY
Kasper G. Lauridsen, Randers Regional Hospital, Randers, Denmark
John T. Paige, LSU Health Sciences Center - New OrleansFollow
Andrew Lockey, Calderdale and Huddersfield NHS Trust, Halifax, UK
Aaron Donoghue, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
Andrew K. Hall, University of Ottawa, Ottawa, Ontario, Canada
Catherine Patocka, University of Calgary, Calgary, AB, Canada
Janice Palaganas, MGH Institute of Health Professions, Boston, MA
Isabel T. Gross, Yale University, New Haven, CT
David Kessler, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
Julia Vermylen, Northwestern University, Chicago, IL
Yiqun Lin, Alberta Children's Hospital, Calgary, Canada
Michelle Aebersold, University of Michigan, Ann Arbor, MI
Todd P. Chang, University of South California, Los Angeles, CA
Jonathan Duff, University of Alberta, Edmonton, Alberta, Canada
Michaela Kolbe, University Hospital Zurich, ETH Zurich, Switzerland
Tonya Rutherford-Hemming, University of North Carolina, Chapel Hill, NC
Sharon Decker, Texas Tech University Health Sciences Center, Lubbock, TX
Amelia Collings, University of Louisville, Louisville, KY
Mohammed Toseef Ansari, Independent Methodologist, Ottawa, Ontario, Canada

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Simulation in Healthcare


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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