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Effects of High-Fidelity Simulation Training on Learning Outcomes and Satisfaction for Practising Registered Nurses:
Jie Zhou1,2, Guowen Zhang2, Peige Song3
1The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China.
High-fidelity simulation (HFS) training significantly improves knowledge, skills, and satisfaction for practicing nurses compared to traditional methods. Further research with rigorous trials is recommended to enhance the evidence base.
Area of Science:
- Nursing Education
- Medical Simulation
- Healthcare Professional Development
Background:
- Evidence supports high-fidelity simulation (HFS) for pre-licensure nursing students.
- The impact of HFS on practicing registered nurses remains unsynthesized.
Purpose of the Study:
- To evaluate the effects of HFS training on learning outcomes and satisfaction in practicing registered nurses.
Main Methods:
- Systematic review and meta-analysis of RCTs and quasi-experiments.
- Searched multiple databases (PubMed, CINAHL, ERIC, etc.) for English and Chinese studies.
- Included studies comparing HFS with traditional methods for practicing nurses.
Main Results:
- Eight studies with 275 nurses were included; risk of bias varied.
- HFS significantly improved knowledge (SMD=0.65) and professional skills (SMD=0.72).
- Learning satisfaction was significantly enhanced (SMD=1.24), while self-confidence showed a non-significant trend (SMD=0.59).
Conclusions:
- HFS is effective for improving knowledge, skills, and satisfaction in practicing nurses.
- HFS may also enhance self-confidence.
- More rigorous RCTs with larger samples and standardized measures are needed.
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