1,949
Views
49
CrossRef citations to date
0
Altmetric
Research Article

Final year medical students’ views on simulation-based teaching: A comparison with the Best Evidence Medical Education Systematic Review

&
Pages 569-577 | Published online: 23 Jul 2010
 

Abstract

Background: Simulation is being increasingly used in medical education.

Aim: The aim of this study was to explore in more depth the features of simulation-based teaching that undergraduate medical students value using the Best Evidence Medical Education (BEME) Systematic Review features that lead to effective learning as a framework.

Method: Thematic analysis of four semi-structured focus groups with final year medical students who had been taught acute care skills using a medium-fidelity whole-body simulator manikin (SimMan®).

Results: Twelve key themes were identified, namely, feedback, integration into curriculum, learning style, learning environment, realism, teamwork, communication skills, confidence/increased self-efficacy, anxiety, performance, perceptions of foundation year 1 (FY1) and SimMan® as a resource. Each theme is described with supporting quotes.

Conclusion: Six of the ten features listed in the BEME review appeared to be of particular value to the medical students. This study provides a richer understanding of these features. In addition, new insights into the effect of simulation on confidence, anxiety and self-efficacy are discussed which may be affected by the ‘performance’ nature of simulation role-play. Students also contribute critical thought about the use of SimMan® as a resource and provide novel ideas for reducing ‘downtime’.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 771.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.