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Evaluating the Impact of Simulation on Translational Patient Outcomes
Open accessAbstract
INTRODUCTION: A long and rich research legacy shows that under the right conditions, simulation-based medical education (SBME) is a powerful intervention to increase medical learner competence. SBME translational science demonstrates that results achieved in the educational laboratory (T1) transfer to improved downstream patient care practices (T2) and improved patient and public health (T3). METHOD: This is a qualitative synthesis of SBME translational science research (TSR) that employs a critical review approach to literature aggregation. RESULTS: Evidence from SBME and health services research programs that are thematic, sustained, and cumulative shows that measured outcomes can be achieved at T1, T2, and T3 levels. There is also evidence that SBME TSR can yield a favorable return on financial investment and contributes to long-term retention of acquired clinical skills. The review identifies best practices in SBME TSR, presents challenges and critical gaps in the field, and sets forth a TSR agenda for SBME. CONCLUSIONS: Rigorous SBME TSR can contribute to better patient care and improved patient safety. Consensus conference outcomes and recommendations should be presented and used judiciously.
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“Skills acquired during rigorous simulation-based training can be transferred to the clinical setting11 and thus improve patient care and safety.12”
From Neurosurgery resident training using blended learning concepts: Course development and participant evaluation (2022) · cites this paper as [12]
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Metadata
- Authors
- McGaghie, W. C., Draycott, T. J., Dunn, W. F., Lopez, C. M., & Stefanidis, D.
- Affiliations
- Northwestern University (US)
- Venue
- Simulation in Healthcare The Journal of the Society for Simulation in Healthcare
- Published
- 2011-08
- Volume
- 6
- Issue
- 7
- Pages
- S42-S47
- ISSN
- 1559-2332 (ISSN-L)
- PMC
- PMC3153601
- OpenAlex
- W2005594111
- Cited by
- 336
- References
- 66
- Citations by year
- 2026: 17 · 2025: 11 · 2024: 20 · 2023: 13 · 2022: 22 · 2021: 33 · 2020: 27 · 2019: 30 · 2018: 14 · 2017: 25 · 2016: 22 · 2015: 33 · 2014: 22 · 2013: 29 · 2012: 14
- FWCI
- 15.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Simulation in Healthcare The Journal of the Society for Simulation in Healthcare (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Research Resources (UL1RR025741)
- Topics
- Social Sciences › Education › Simulation-Based Education in Healthcare
- Health Sciences › Medicine › Surgery › Surgical Simulation and Training
- Social Sciences › Education › Innovations in Medical Education
- Keywords
- simulation-based medical education, translational research, patient outcomes, transfer of learning, clinical competence, patient safety, best practices, consensus conference recommendations
- MeSH terms
- Clinical Competence, Computer Simulation, Education, Medical, Health Personnel, Health Services Research, Humans, Outcome Assessment, Health Care, Translational Research, Biomedical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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