• Nicole Kester-Greene, Andrew K Hall, and Catharine M Walsh.
• Division of Emergency Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
• Can J Emerg Med. 2019 Sep 1; 21 (5): 667-675.

ObjectivesThere is increasing evidence to support integration of simulation into medical training; however, no national emergency medicine (EM) simulation curriculum exists. Using Delphi methodology, we aimed to identify and establish content validity for adult EM curricular content best suited for simulation-based training, to inform national postgraduate EM training.MethodsA national panel of experts in EM simulation iteratively rated potential curricular topics, on a 4-point scale, to determine those best suited for simulation-based training. After each round, responses were analyzed. Topics scoring <2/4 were removed and remaining topics were resent to the panel for further ratings until consensus was achieved, defined as Cronbach α ≥ 0.95. At conclusion of the Delphi process, topics rated ≥ 3.5/4 were considered "core" curricular topics, while those rated 3.0-3.5 were considered "extended" curricular topics.ResultsForty-five experts from 13 Canadian centres participated. Two hundred eighty potential curricular topics, in 29 domains, were generated from a systematic literature review, relevant educational documents and Delphi panellists. Three rounds of surveys were completed before consensus was achieved, with response rates ranging from 93-100%. Twenty-eight topics, in eight domains, reached consensus as "core" curricular topics. Thirty-five additional topics, in 14 domains, reached consensus as "extended" curricular topics.ConclusionsDelphi methodology allowed for achievement of expert consensus and content validation of EM curricular content best suited for simulation-based training. These results provide a foundation for improved integration of simulation into postgraduate EM training and can be used to inform a national simulation curriculum to supplement clinical training and optimize learning.

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