Claims

High-fidelity simulation training yields a large effect on learning satisfaction among practising registered nurses

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i3 Meta-analysis of three studies (102 nurses) found HFS produced a large, significant improvement in learning satisfaction compared with traditional methods (SMD = 1.24), with high heterogeneity. → Zhou Jie 2026

Evidence

Zhou Jie 2026

Zhou Jie, Zhang Guowen, Song Peige, Liaw Sok Ying, Luk Tzu Tsun. (2026). Effects of High‐Fidelity Simulation Training on Learning Outcomes and Satisfaction for Practising Registered Nurses: A Systematic Review and Meta‐Analysis. Journal of Clinical Nursing. https://doi.org/10.1111/jocn.70206

q3 · i3 · quant-synthesis · r3

Random-effects meta-analysis of two RCTs and one quasi-experiment (102 nurses) on learning satisfaction, only one using an existing instrument. The review reports "a large pooled effect on learning satisfaction" with high heterogeneity; fixed-effect results were similar (SMD = 1.09).

"The random‐effects meta‐analysis showed a large pooled effect on learning satisfaction [SMD = 1.24, 95% CI, (0.35, 2.13), p < 0.01], with high heterogeneity (I2 = 67%, p = 0.05)"

Discussion

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