ArticlePublic health in practice (Oxford, England)2024
A systematic review of 'equity-focused' game-based learning in the teaching of health staff.
Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Serious Games in Nursing Education: Scoping Review of Applications, Effectiveness, and Future Directions.JMIR serious games · 2026Review
- Empowering health care staff to address health inequalities: A policy-focused evidence brief.Public health in practice (Oxford, England) · 2026Article
- Digital Narrative Medicine: Translating Stories Into Medical Education and Better Patient Care.Journal of medical Internet research · 2026Article
- Global scientific production on gamification in medical education: A bibliometric exploration.Journal of education and health promotion · 2026Article
- Comparison Between Game-Based Learning and Traditional Learning Methods in Traumatic Dental Management Among Dental Interns at KAUFD.Clinical, cosmetic and investigational dentistry · 2025Article
- Training nurses in an international emergency medical team using a serious role-playing game: a retrospective comparative analysis.BMC medical education · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: An unequal distribution of the social determinants of health drives health inequalities. Existing training fails to communicate the impossible circumstances that disadvantaged groups face. Game-based learning is increasingly used as an innovative method with the potential to enhance health staff's ability to address health inequalities, but its effectiveness is unknown. Therefore, the aim of this systematic review was to evaluate the effectiveness of 'equity-focused' game-based learning in training health staff. Study design: Systematic Review. Methods: Three databases (Ovid Medline, Embase, Web of Science) and a citation search were systematically searched for articles from January 2010 to July 2023, reporting on effectiveness of 'equity-focused' game-based learning. Titles and abstracts were screened using eligibility criteria to identify relevant studies. Data was extracted and the ROBINS-I tool was used to assess quality. Results: The search identified 7615 articles, of which thirteen were included involving 2412 healthcare workers. A variety of game-based learning tools were found to have an overall positive effect on motivation, knowledge, attitudes, and engagement of health staff. However, the significance of the results varied depending on specific game context. All included studies were judged to have serious to critical risk of bias. Conclusions: Game-based learning has the potential to improve the effectiveness of 'equity-focused' training for health staff. Educators and researchers should further collaborate to expand the tools available and evaluate their effectiveness on long-term clinical practice.
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Registered trials
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.