Evidence map›Paper›PMID 41532614›Full record

SynthesisJournal of clinical nursing2026

Effects of High-Fidelity Simulation Training on Learning Outcomes and Satisfaction for Practising Registered Nurses: A Systematic Review and Meta-Analysis.

Jie Zhou, Guowen Zhang, Peige Song, Sok Ying Liaw, Tzu Tsun Luk

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of clinical nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jie ZhouThe Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0002-4503-8710
Guowen ZhangSchool of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong SAR.ORCID https://orcid.org/0000-0003-3212-7535
Peige SongCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Zhejiang University, Zhejiang, China.ORCID https://orcid.org/0000-0002-0196-9759
Sok Ying LiawAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-8326-4049
Tzu Tsun LukSchool of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong SAR.ORCID https://orcid.org/0000-0002-7056-1976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmple evidence has shown the benefit of high-fidelity simulation (HFS) in promoting learning in pre-licensure nursing students, but the evidence for practising registered nurses has not been synthesised.

objectiveTo evaluate the effects of HFS training on learning outcomes and satisfaction in practising registered nurses.

methodsIn this systematic review and meta-analysis, we searched PubMed, CINAHL, ERIC, Cochrane Library, Web of Science and China National Knowledge Infrastructure (CNKI) for studies published in English or Chinese from database inception to 31 May 2023 (updated on 20 April 2025). All randomised controlled trials (RCT) or quasi-experiments that compared HFS training with traditional methods (e.g., lecture) for practising registered nurses and reported learning outcomes and satisfaction were included. Risk of bias was assessed by the Cochrane risk-of-bias tool for randomised trials (RoB 2) and non-randomised trials (ROBINS-I). Inverse-variance random-effect models were used to calculate standardised mean differences (SMDs) with 95% confidence interval (CI). We followed the PRISMA 2020 guideline.

resultsOf 1404 records, eight eligible studies (five RCTs and three quasi-experiments) involving 275 practising nurses were identified. Two RCTs had high risk of bias, while others showed some concerns or moderate risk of bias. Meta-analyses showed that HFS could promote knowledge acquisition (SMD = 0.65, 95% CI, [0.35, 0.95], p < 0.01, I

conclusionCompared with traditional training methods, HFS is effective in promoting knowledge acquisition, professional skills and learning satisfaction and may enhance self-confidence among practising nurses. To strengthen the evidence base, more rigorous RCTs with larger sample sizes, adequate reporting of HFS design, and standardised outcome measures are warranted. PROTOCOL REGISTRATION: PROSPERO (CRD42022358717). No Patient or Public Contribution.

Indexed as

Clinical CompetenceHigh Fidelity Simulation TrainingLearningPersonal SatisfactionHumans

Identifiers

PMID41532614
PMCPMC13569372

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.