The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A critical review of simulation‐based mastery learning with translational outcomes
Abstract
Objectives: This article has two objectives. Firstly, we critically review simulation‐based mastery learning ( SBML ) research in medical education, evaluate its implementation and immediate results, and document measured downstream translational outcomes in terms of improved patient care practices, better patient outcomes and collateral effects. Secondly, we briefly address implementation science and its importance in the dissemination of innovations in medical education and health care. Methods: This is a qualitative synthesis of SBML with translational ( T ) science research reports spanning a period of 7 years (2006–2013). We use the ‘critical review’ approach proposed by N orman and E va to synthesise findings from 23 medical education studies that employ the mastery learning model and measure downstream translational outcomes. Results: Research in SBML in medical education has addressed a range of interpersonal and technical skills. Measured outcomes have been achieved in educational laboratories ( T 1), and as improved patient care practices ( T 2), patient outcomes ( T 3) and collateral effects ( T 4). Conclusions: Simulation‐based mastery learning in medical education can produce downstream results. Such results derive from integrated education and health services research programmes that are thematic, sustained and cumulative. The new discipline of implementation science holds promise to explain why medical education innovations are adopted slowly and how to accelerate innovation dissemination.
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Cites
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Self-citationThe Increasing Dominance of Teams in Production of Knowledge
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Realist review - a new method of systematic review designed for complex policy interventions
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Groups of diverse problem solvers can outperform groups of high-ability problem solvers
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McGaghie, W. C., Issenberg, S. B., Cohen, E. R., Barsuk, J. H., & Wayne, D. B. (2011) · Academic Medicine · doi:10.1097/acm.0b013e318217e119 · Cited by 1,866
Self-citationEvaluating the impact of simulation on translational patient outcomes
McGaghie, W. C., Draycott, T. J., Dunn, W. F., Lopez, C. M., & Stefanidis, D. (2011) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0b013e318222fde9 · Cited by 336
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Cited by
Ericsson, K. A. (2015) · Academic Medicine · doi:10.1097/acm.0000000000000939 · Cited by 542
Simulation in Clinical Nursing Education
Koukourikos, K., Tsaloglidou, A., Kourkouta, L., Papathanasiou, I., Iliadis, C., Fratzana, A., & Panagiotou, A. (2021) · Acta Informatica Medica · doi:10.5455/aim.2021.29.15-20 · Cited by 466
Sørensen, J. L., Østergaard, D., LeBlanc, V., Ottesen, B., Konge, L., Dieckmann, P., & Van der Vleuten, C. (2017) · BMC Medical Education · doi:10.1186/s12909-016-0838-3 · Cited by 267
Mazzone, E., Puliatti, S., Amato, M., Bunting, B., Rocco, B., Montorsi, F., Mottrie, A., & Gallagher, A. G. (2021) · Annals of Surgery · doi:10.1097/sla.0000000000004650 · Cited by 148
Cleland, J., Walker, K. G., Gale, M., & Nicol, L. G. (2016) · Medical Education · doi:10.1111/medu.13064 · Cited by 74
Metadata
- Authors
- McGaghie, W. C., Issenberg, S. B., Barsuk, J. H., & Wayne, D. B.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2014-03-09
- Volume
- 48
- Issue
- 4
- Pages
- 375-385
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2132739296
- Cited by
- 638
- References
- 7
- FWCI
- 23.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- McGaghie, W. C., Issenberg, S. B., Barsuk, J. H., & Wayne, D. B. (2014). A critical review of simulation‐based mastery learning with translational outcomes. Medical Education. https://doi.org/10.1111/medu.12391
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.