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A Decade Later-Progress and Next Steps for Pediatric Simulation Research
Leah A Mallory1, Cara B Doughty, Kasey I Davis
1From the Tufts University School of Medicine (L.A.M.), Boston, MA; Department of Medical Education (L.A.M.), The Hannaford Center for Simulation, Innovation and Education; Section of Hospital Medicine (L.A.M.), Department of Pediatrics, The Barbara Bush Children's Hospital at Maine Medical Center, Portland, ME; Section of Emergency Medicine (C.B.D.), Department of Pediatrics, Baylor College of Medicine; Simulation Center (C.B.D.), Texas Children's Hospital, Pediatric Emergency Medicine, Baylor College of Medicine; Section of Critical Care Medicine (K.I.D.), Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX; Departments of Pediatrics and Emergency Medicine (A.C.), University of Calgary, Calgary, Canada; Division of Pediatric Critical Care (A.W.C.), University of Louisville School of Medicine and Norton Children's Hospital, Louisville, KY; Section of Emergency Medicine (M.A.A.), Yale University School of Medicine, New Haven, CT; Division of Critical Care (J.P.D.), University of Alberta, Alberta, Canada; and Columbia University Vagelos College of Physicians and Surgeons (D.O.K.), New York, NY.
Summary Statement:
A decade ago, at the time of formation of the International Network for Pediatric Simulation-based Innovation, Research, and Education, the group embarked on a consensus building exercise. The goal was to forecast the facilitators and barriers to growth and maturity of science in the field of pediatric simulation-based research. This exercise produced 6 domains critical to progress in the field: (1) prioritization, (2) research methodology and outcomes, (3) academic collaboration, (4) integration/implementation/sustainability, (5) technology, and (6) resources/support/advocacy. This article reflects on and summarizes a decade of progress in the field of pediatric simulation research and suggests next steps in each domain as we look forward, including lessons learned by our collaborative grass roots network that can be used to accelerate research efforts in other domains within healthcare simulation science.
