Evidence map›Paper›PMID 42438606›Full record

ArticleDigital health

Perceived effectiveness of computer-based simulation learning in health management students: A cross-sectional study.

Ren-Ping Gu, Jie Xia, Fang Zhao, Xiang-Dong Peng, Ai-Yong Zhu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ren-Ping GuSchool of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.ORCID https://orcid.org/0000-0001-5855-8363
Jie XiaSchool of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Fang ZhaoSchool of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Xiang-Dong PengSchool of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Ai-Yong ZhuSchool of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Computer-based simulation, structured around the prebriefing-simulation-debriefing model, has been increasingly integrated into health management education. This study aimed to evaluate the perceived effectiveness of computer-based simulations on the learning outcomes of final-year undergraduate health management students. Methods: This cross-sectional study, involving 124 students, was conducted at a medical university in Eastern China from October to November 2025. Perceived effectiveness was measured using a Simulation Effectiveness Tool-Modified questionnaire. The data were analyzed using descriptive statistics and multiple regression analyses. Methodological rigor was maintained in accordance with Strengthening the Reporting of Observational Studies in Epidemiology guidelines. Results: Most participants perceived the simulation as highly effective, indicating positive learning outcomes. Learners' perceived effectiveness was significantly enhanced by their self-efficacy (β = 0.486, p < 0.001), gains in knowledge-skills-attitudes (β = 0.188, p = 0.029), and prior simulation experience (β = -0.173, p = 0.016). Conclusions: Grounded in the prebriefing-simulation-debriefing model, computer-based simulation demonstrates promising perceived effectiveness as an instructional method for health management education. This structured implementation ensures systematic learning, while highlighting the critical importance of fostering learner confidence and preparedness to maximize educational outcomes.

Indexed as

computer simulationeffectivenessmedical educationsimulationsurveys and questionnaires

Identifiers

PMID42438606
PMCPMC13356320

What OpenQuestion holds

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Registered trials

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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.