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Application of the METRICS Framework to Build Programs of Healthcare Simulation Research
Adam Cheng1, Walter Eppich, Aaron Calhoun
1Departments of Pediatrics and Emergency Medicine (A.C.), Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Faculty of Medicine, Dentistry and Health Sciences (W.E.), University of Melbourne, Melbourne, VIC, Australia; University of Louisville School of Medicine and Norton Children's Medical Group (A.C.). Louisville, KY; Simulation Center (M.K.), University Hospital Zurich, Zurich, Switzerland; Columbia University Vagelos College of Physicians and Surgeons (D.K.), New York, NY; Unity Health Toronto & Department of Medicine (R.B.), University of Toronto, Toronto, Ontario, Canada; MGH Institute of Health Professions (J.P.), Boston, MA; Yale University School of Medicine (M.A.), New Haven, CT; and Faculty of Life Sciences and Medicine (G.R.), King's College London, UK.
The evidence supporting healthcare simulation is limited due to small, underpowered studies. The METRICS framework offers a roadmap for developing cohesive simulation research programs to advance the science.
Area of Science:
- Healthcare Simulation Research
- Medical Education
- Health Professions Education
Background:
- Healthcare simulation is rapidly expanding, but the supporting evidence base lags behind.
- Many published studies are small-scale, lack methodological rigor, and fail to advance the science of simulation.
- There is a critical need for focused, cohesive research programs in healthcare simulation.
Purpose of the Study:
- To explore the METRICS framework as a roadmap for developing cohesive healthcare simulation research programs.
- To describe the application of the METRICS framework to existing simulation research initiatives.
- To discuss future implications of the METRICS framework for the global healthcare simulation community.
Main Methods:
- Review and conceptual analysis of the METRICS framework.
- Application of the METRICS framework to existing institutional and network-based simulation research programs.
- Discussion of scholarly domains within the METRICS framework: Metascholarship, Evaluation, Translation, Research, Innovation, Conceptual, and Synthesis.
Main Results:
- The METRICS framework provides a structured model for categorizing scholarship across seven intersecting domains.
- The framework can guide researchers in developing robust, cohesive research programs.
- Existing simulation research programs can be analyzed and potentially enhanced using the METRICS framework.
Conclusions:
- The current evidence base for healthcare simulation requires strengthening through rigorous, cohesive research programs.
- The METRICS framework offers a valuable model to guide the development and evaluation of simulation research.
- Implementing the METRICS framework can foster a more advanced and impactful science of healthcare simulation globally.
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