Effectiveness of high-fidelity patient simulation in teaching clinical reasoning skills

Hiu Tung MOK, Chi Fuk Henry SO, Wai Yee Joanne CHUNG

Research output: Contribution to journalArticlespeer-review

13 Citations (Scopus)

Abstract

Background: High-fidelity patient simulation (HFPS) has been increasingly used in nursing education more than the last two decades. Yet, minimal studies have been done to investigate its effectiveness in teaching clinical reasoning skills to undergraduate nursing students. Method: This study evaluated the effectiveness of using HFPS in teaching clinical reasoning skills to undergraduate nursing students and a comparison with other teaching methods. Keyword searches were conducted in six databases for randomized and quasi-randomized controlled studies. Two independent reviewers assessed the eligibility and methodological quality of the studies and performed data extraction. Results: Of the 11 studies included in this review, 7 investigated the effectiveness of using HFPS on knowledge acquisition, 4 examined skill performance and 2 investigated critical thinking. The results indicated a lack of statistically significant difference in the learning outcomes from HFPS versus traditional modalities and low-fidelity simulation. Conclusion: This systematic review reveals a lack of support for the hypothesis that the use of HFPS is more effective than other teaching methods in teaching clinical reasoning skills to undergraduate nursing students. Copyright © 2016 International Nursing Association for Clinical Simulation and Learning.
Original languageEnglish
Pages (from-to)453-467
JournalClinical Simulation in Nursing
Volume12
Issue number10
Early online date29 Aug 2016
DOIs
Publication statusPublished - Oct 2016

Citation

Mok, H. T., So, C. F., & Chung, J. W. Y. (2016). Effectiveness of high-fidelity patient simulation in teaching clinical reasoning skills. Clinical Simulation in Nursing, 12(10), 453-467. doi: 10.1016/j.ecns.2016.06.003

Keywords

  • Patient simulator
  • Patient simulation
  • High-fidelity patient simulation
  • Clinical reasoning
  • Nursing education
  • Systematic review

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