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Effectiveness of simulation-based nursing education depending on fidelity: a meta-analysis
Junghee Kim1, Jin-Hwa Park2, Sujin Shin3
1The Catholic University of Korea 222, Banpodae-ro, Seocho-gu, Seoul, 06591, Republic of Korea.
Simulation-based nursing education effectively enhances clinical skills across various domains. High-fidelity simulation and standardized patients show particularly strong effects in cognitive and affective learning outcomes.
Area of Science:
- Nursing Education
- Medical Simulation
- Educational Psychology
Background:
- Simulation-based learning is a growing pedagogical method in nursing education.
- It offers practical experience for clinical and decision-making skills.
- Simulation fidelity ranges from low to high, impacting educational outcomes.
Purpose of the Study:
- To conduct a meta-analysis determining the effect size of simulation-based nursing education interventions.
- To compare effect sizes across different fidelity levels of simulation.
Main Methods:
- A systematic literature search was performed across six electronic databases.
- Keywords included "nursing," "simulation," "human patient," and "simulator."
- Forty studies were included in the meta-analysis from 2279 initial articles.
Main Results:
- Simulation-based nursing education demonstrated a significant overall effect size (SMD = 0.70).
- Higher fidelity simulations (medium, high) and standardized patients yielded larger effect sizes compared to low-fidelity.
- High-fidelity simulation showed the largest effect size for cognitive outcomes (0.50) and high effect for affective outcomes (0.80).
Conclusions:
- Simulation-based nursing education interventions are highly effective, especially in the psychomotor domain.
- The educational impact is not strictly proportional to simulation fidelity.
- A diverse range of simulation interventions is recommended to achieve comprehensive educational goals.
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