Journal ArticleDOI
Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review
TLDR
While research in this field needs improvement in terms of rigor and quality, high-fidelity medical simulations are educationally effective and simulation-based education complements medical education in patient care settings.Abstract:
SUMMARY Review date: 1969 to 2003, 34 years. Background and context: Simulations are now in widespread use in medical education and medical personnel evaluation. Outcomes research on the use and effectiveness of simulation technology in medical education is scattered, inconsistent and varies widely in methodological rigor and substantive focus. Objectives: Review and synthesize existing evidence in educational science that addresses the question, ‘What are the features and uses of high-fidelity medical simulations that lead to most effective learning?’. Search strategy: The search covered five literature databases (ERIC, MEDLINE, PsycINFO, Web of Science and Timelit) and employed 91 single search terms and concepts and their Boolean combinations. Hand searching, Internet searches and attention to the ‘grey literature’ were also used. The aim was to perform the most thorough literature search possible of peer-reviewed publications and reports in the unpublished literature that have been judged for academic quality. Inclusion and exclusion criteria: Four screening criteria were used to reduce the initial pool of 670 journal articles to a focused set of 109 studies: (a) elimination of review articles in favor of empirical studies; (b) use of a simulator as an educational assessment or intervention with learner outcomes measured quantitatively; (c) comparative research, either experimental or quasi-experimental; and (d) research that involves simulation as an educational intervention. Data extraction: Data were extracted systematically from the 109 eligible journal articles by independent coders. Each coder used a standardized data extraction protocol. Data synthesis: Qualitative data synthesis and tabular presentation of research methods and outcomes were used. Heterogeneity of research designs, educational interventions, outcome measures and timeframe precluded data synthesis using meta-analysis. Headline results: Coding accuracy for features of the journal articles is high. The extant quality of the published research is generally weak. The weight of the best available evidence suggests that high-fidelity medical simulations facilitate learning under the right conditions. These include the following:read more
Citations
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Journal ArticleDOI
Teamwork and Leadership in Cardiopulmonary Resuscitation
Sabina Hunziker,Anna C. Johansson,Franziska Tschan,Norbert K. Semmer,Laura K. Rock,Michael D. Howell,Stephan Marsch +6 more
TL;DR: The state of the science linking team interactions to the performance of CPR is described and it is proposed that further studies on the effects of team interactions on performance of complex medical emergency interventions such as resuscitation are needed.
Journal ArticleDOI
Application of the "see one, do one, teach one" concept in surgical training.
Sandra V. Kotsis,Kevin C. Chung +1 more
TL;DR: The traditional teaching method of “see one, do one, teach one” in surgical residency programs is simple but still applicable and needs to evolve with current changes in the medical system to adequately train surgical residents and also provide patients with safe, evidence-based care.
Journal ArticleDOI
The role of simulation in nurse education.
TL;DR: It is suggested that high fidelity simulators may contribute significantly to the preparation for nursing students' final key stage management assessment prior to entry to the Nursing and Midwifery Council (NMC) register.
Journal ArticleDOI
Patient Outcomes in Simulation-Based Medical Education: A Systematic Review
TL;DR: SSimulation-based education was associated with small-moderate patient benefits in comparison with no intervention and non-simulation instruction, although the latter did not reach statistical significance.
Journal ArticleDOI
Debriefing assessment for simulation in healthcare: development and psychometric properties.
Marisa Brett-Fleegler,Jenny W. Rudolph,Walter J. Eppich,Michael C. Monuteaux,Eric W. Fleegler,Adam Cheng,Robert Simon +6 more
TL;DR: In this paper, the reliability of the scores of an assessment instrument, the Debriefing Assessment for Simulation in Healthcare (DASH), in evaluating the quality of health care simulation debriefings was examined.
References
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