Society for Simulation in Healthcare Guidelines for Simulation Training.

Simul Healthc

From the Department of Surgery (D.S., S.-M.K.-M.), Indiana University School of Medicine, Indianapolis, IN; Department of Internal Medicine (D.C.), Mayo Clinic, Rochester, MN; Department of Surgery (S.M.-W.), Emory University, Atlanta, GA; Department of Pediatrics (A.W.C.), University of Louisville School of Medicine and Norton Children's Medical Group, Louisville, KY; Department of Medicine (K.G.L.), Randers Regional Hospital, Randers, Denmark; Research Center for Emergency Medicine (K.G.L.), Aarhus University, Aarhus, Denmark; Department of Surgery (J.T.P.), LSU Health New Orleans School of Medicine, New Orleans, LA; Emergency Department (A.L.), Calderdale and Huddersfield NHS Trust, Halifax; School of Human and Health Sciences (A.L.), University of Huddersfield, Huddersfield, UK; Critical Care Medicine and Pediatrics (A.D.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Emergency Medicine (A.K.H.), University of Ottawa, Ottawa, Ontario, Canada; Department of Emergency Medicine (C.P.), Cumming School of Medicine University of Calgary, Calgary, AB, Canada; Department of Health Professions Education (J.P.), School of Healthcare Leadership, MGH Institute of Health Professions, Boston, MA; Department of Pediatrics (I.T.G.), Section of Emergency Medicine, Yale University, New Haven, CT; Department of Emergency Medicine (D.K.), Columbia University Vagelos College of Physicians and Surgeons, New York, NY,; Department of Medicine and Medical Education (J.V.), Feinberg School of Medicine, Northwestern University, Chicago, IL; KidSIM Simulation Research Program (Y.L.), Alberta Children's Hospital, Calgary, Canada; University of Michigan School of Nursing (M.A.), Ann Arbor, MI; Las Madrinas Simulation Center, Children's Hospital (T.C.), University South California, Los Angeles, CA; Department of Pediatrics (J.D.), University of Alberta, Edmonton, Alberta, Canada; Simulation Center (M.K.), University Hospital Zurich, ETH Zurich, Switzerland; Department of Nursing (T.R.-H.), University of North Carolina, Chapel Hill, NC; Department of Nursing (S.D.), Texas Tech University Health Sciences Center, Lubbock, TX; Department of Surgery (A.C.), University of Louisville, Louisville, KY; and Independent Methodologist (M.T.A.), Ottawa, Ontario, Canada.

Published: January 2024

AI Article Synopsis

  • Simulation is increasingly recognized as vital for training healthcare professionals, but there are currently no standardized guidelines for its implementation.
  • A systematic review was conducted on 16 key questions to form expert consensus recommendations, utilizing the GRADE methodology for assessment.
  • The resulting guidelines offer 20 evidence-based recommendations and 4 expert suggestions to help healthcare professionals make informed choices about simulation training methods.

Article 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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Source
http://dx.doi.org/10.1097/SIH.0000000000000776DOI Listing

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