Janice C Palaganas, Cynthia J Mosher, Alex Morton, Cynthia Foronda, Adam Cheng, Terry Anderson
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Engagement in Distance Healthcare Simulation Debriefing: A Concept Development and Framework.
Summary statement: Understanding distance health care simulation debriefing is crucial in light of the increased use of and emerging technology in remote education for reasons of accessibility, global collaboration, and continuous professional development. This article is a confluence of a number of previously published studies designed to serve as a foundation to develop the concept of "engagement in health care distance simulation debriefing" using the Schwartz-Barcott & Kim hybrid mixed methods model. The model uses 3 phases: theoretical (a realist systematic review of the literature), fieldwork (3 exploratory studies and 2 pilot experimental studies), and analytical (analysis of the theoretical and fieldwork findings through expert discussion). This study defines the concept of "engagement in health care simulation distance debriefing" through exploration of its uses and analysis in literature, interviews, and expert review. The hybrid approach to the analysis provided rigor to generate a new, reflective conceptual model. This conceptual model defines the complexity in engagement during distance debriefing and helps shape the development of simulationists and debriefers, leading to more effective distance simulations and debriefings.
期刊介绍:
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.