Evidence map›Paper›PMID 42275629›Full record

ReviewJMIR serious games2026

Serious Games in Nursing Education: Scoping Review of Applications, Effectiveness, and Future Directions.

Fenglin Shao, Zhihao Han, Qin Su, Yong Fang

Abstract readReview
In one paragraph

Review in JMIR serious games, 2026. 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

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

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

4 authors.

Fenglin Shao *Respiratory Medicine Department, First Affiliated Hospital Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0001-6319-5867
Zhihao Han *School of Nursing, Zhejiang Chinese Medical University, Hangzhou, China.ORCID http://orcid.org/0000-0002-3362-9927
Qin SuSchool of Nursing, Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.ORCID http://orcid.org/0009-0000-0531-0292
Yong FangSchool of Nursing, Changsha Medical University, Leifeng Road, Changsha, Hunan, 410219, China, 86 17858565080.ORCID http://orcid.org/0009-0000-7700-4083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Serious games (SGs) have emerged as a promising tool in nursing education, providing interactive learning environments for clinical simulation, skill development, and feedback. These games enhance knowledge, clinical reasoning, and psychomotor skills. However, evidence on their effectiveness is dispersed across various platforms and outcome measures, making it difficult to derive clear guidelines for their integration into nursing curricula. Objective: This scoping review aimed to systematically identify and map existing evidence on the use of SGs in nursing education, analyze game characteristics, and identify critical gaps to inform future research and practice development. Methods: This scoping review followed the JBI framework and the PRISMA-ScR checklist. Nine databases (PubMed, Web of Science, Embase, CINAHL, the Cochrane Library, CBM, Wanfang Data, CNKI, and VIP) were searched from inception to January 15, 2026. Eligible studies were those reporting on original research on SGs in nursing education. Two reviewers screened titles, abstracts, and full texts. Risk of bias was assessed using a standardized checklist. The extracted data encompassed study characteristics, study design, participant information, sample sizes, application context, teaching content, and SG characteristics. Data were extracted and synthesized with descriptive statistics and content analysis. An evidence gap map was created to show the study distribution across course categories and outcome domains. Results: We screened 6078 records and included 24 studies. Publications were from 2021 to 2025 (n=13, 54%), with the majority conducted in Europe (n=13, 54%). Quasi-experimental designs (n=10, 42%) and randomized controlled trials (n=8, 33%) were predominant. SGs were mainly used in fundamental or skills training and adult nursing courses. Scenario-based decision points (n=20, 83%) and points, badges, or leaderboards (n=20, 83%) were the most common game mechanics, while progression or unlocking and collaborative elements were less frequent. Outcomes most often assessed were knowledge (n=16, 67%), skills (n=10, 42%), and engagement or usability (n=13, 54%). Objective use metrics were rarely reported (n=1, 4%), indicating limited data on in-platform learning behaviors. Most SGs were delivered as digital non-virtual reality applications or computer-based simulation games. Follow-up assessment beyond immediate postintervention outcomes was infrequent. An evidence gap map showed studies concentrated in skills-based training and adult nursing, with fewer studies in maternity or neonatal nursing, critical care, and foundational sciences. Conclusions: This review extends earlier work on SGs in nursing education by mapping evidence across curricular areas, intervention reporting, and outcome assessment, rather than focusing mainly on effectiveness or specific formats. It shows where evidence is concentrated and where important gaps remain, particularly in underrepresented course areas, intervention descriptions, follow-up assessments, and objective use data. These findings provide a clearer picture of the evidence base and can inform curriculum planning; the use of SGs in skills-based and clinical training; and future decisions about their design, implementation, and evaluation.

Indexed as

game-based learninggamificationnursing educationnursing studentsscoping reviewserious gamessimulation-based education

Identifiers

PMID42275629
PMCPMC13258065

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.