The meta-analysis of High-fidelity simulation in undergraduate nursing education

Authors

  • Amar Akbar University of Bina Sehat PPNI

Keywords:

Undergraduate nursing students, High-fidelity simulation, Meta-analysis

Abstract

Objectives: To explore the effectiveness of high-fidelity simulation (HFS) in undergraduate nursing education. Design: A meta-analysis of randomized controlled trials and quasi-experiment. Data sources: Web of Science, PubMed, Embase, Cochrane Library, WANFANG, and CNKI were searched for eligible articles published in English and  Chinese  until  May 28,  2021.

Review methods: The Quality Appraisal Check-list for Quantitative Intervention Studies was applied to the quality evaluation. Standard mean differences (SMD) were pooled using a  random effects  model. The results of  the individual and  combined intervention effects  estimation of was displayed in a forest  plot,  with  weight, SMD, its corresponding 95%  confidence interval (CI), Z-test,  p, I2. Results:  Thirty-eight studies were   included and   37  were   analyzed.  High-fidelity simulation  (HFS)  revealed significantly larger effect  sizes for knowledge (SMD = 0.89,  95%  CI [0.54 to 1.23]), skill (SMD = 0.93,  95%  CI [0.69 to 1.17]), collaboration (SMD = 0.52,  95% CI [0.26 to 0.78]), caring (SMD = 1.40,  95% CI [0.23 to 2.58]) and  learning interest (SMD  = 0.85,   95%  CI [0.00 to  2.04]) when compared with   other teaching methods. However, no significant difference between HFS and other teaching methods in critical thinking (SMD = 0.46, 95%  CI [  1.12  to 1.58]), self-confidence (SMD = 0.22,  95%  CI [  0.32  to 0.75]) and  learning satisfaction (SMD = 0.58,  95%  CI [  0.25  to 1.41]) was  shown. Conclusions: High-fidelity simulation (HFS) can  more  effectively cultivate knowledge, skills,  collaboration, caring,  and  learning interest of  undergraduate  nursing students. Since the effect  of  HFS is  equivalent to  other teaching methods in cultivating undergraduate nursing students' critical thinking, self-confidence and  learning satisfaction, nursing educators can  choose the  most  appropriate methods to achieve the  intended learning out- comes  according to the  actual situation.

Author Biography

Amar Akbar, University of Bina Sehat PPNI

Amar Akbar is an assistant professor in Bina Sehat PPNI University,Mojokerto, Indonesia. Currently, the author working on Post Doctoral Fellow on Ramatibody School of nursing, Mahidol University, Thailand.

 

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Published

2023-08-16

How to Cite

Akbar, A. (2023). The meta-analysis of High-fidelity simulation in undergraduate nursing education. International Journal of Multicultural Education, 25(1). Retrieved from http://ijme-jourrnal.org/index.php/ijme/article/view/7

Issue

Section

Articles (Peer-reviewed)