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Society for Simulation in Healthcare Guidelines for Simulation Training.
- Source :
-
Simulation in healthcare : journal of the Society for Simulation in Healthcare [Simul Healthc] 2024 Jan 01; Vol. 19 (1S), pp. S4-S22. - Publication Year :
- 2024
-
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.<br />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.<br />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.<br />Results: Twenty recommendations on 16 questions were determined using GRADE. Four expert recommendations were also provided.<br />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.<br />Competing Interests: All conflicts of interest and disclosures were assessed as not having influenced the construction of these guidelines. D.S. disclosed research support from Intuitive Surgical and Beckon Dickinson and consultant honoraria from J&J and Applied Medical. A.W.C. receives honoraria from SSH and is consultant for The Debriefing Academy. J.T.P. disclosed royalties from Oxford University Press and Springer Nature as coeditor for simulation and surgical education books, and research support from Avita Medical. The other authors declare no other conflict of interest.<br /> (Copyright © 2023 Society for Simulation in Healthcare.)
- Subjects :
- Humans
Delivery of Health Care
Health Personnel
Simulation Training
Subjects
Details
- Language :
- English
- ISSN :
- 1559-713X
- Volume :
- 19
- Issue :
- 1S
- Database :
- MEDLINE
- Journal :
- Simulation in healthcare : journal of the Society for Simulation in Healthcare
- Publication Type :
- Academic Journal
- Accession number :
- 38240614
- Full Text :
- https://doi.org/10.1097/SIH.0000000000000776