Use of virtual reality compared to the role-playing methodology in basic life support training: a two-arm pilot community-based randomised trial Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1186/s12909-023-04029-2
Introduction Virtual reality (VR) is a technology that allows us to replace our real environment with one created with digital media. This technology is increasingly used in the training of healthcare professionals, and previous studies show that the involvement and motivation of students who participate in activities that use VR increases compared to those who undergo training with the traditional methodology. The main aim of the study is to evaluate the learning curve of the students using a VR environment, to evaluate the satisfaction with the training activity and the cost, and to compare them with training that uses role-playing methodology. Methodology Two-arm community-based randomised trial. The control arm will base the training on the usual role-playing methodology. The second arm or intervention arm will base the Basic Life Support (BLS) training on a VR programme. Results Statistically significant differences are observed in the percentage of correct answers in favour of the group that used VR as a learning methodology in the test taken at the end of the course. These differences disappear when comparing the results of the test performed at six months. The satisfaction rating of the role-playing training activity has a score of 9.37 out of a total of 10 and satisfaction with the VR methodology has a score of 9.72. The cost analysis shows that the cost of training a student by role-playing is 32.5 euros and, if trained by VR, it is 41.6 euros. Conclusions VR is a tool that allows the consolidation of a greater amount of knowledge in the short term and can be used for situations such as pandemics, where traditional formats are not available. In relation to student satisfaction with the training activity, the rating in both groups is very high and the differences are minimal. The results will be directly applicable to the decision making of BLS training in Central Catalonia in relation to the scheduling of training activities that use the VR methodology in an uncertain environment.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12909-023-04029-2
- https://bmcmededuc.biomedcentral.com/counter/pdf/10.1186/s12909-023-04029-2
- OA Status
- gold
- Cited By
- 25
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4317746173
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4317746173Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s12909-023-04029-2Digital Object Identifier
- Title
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Use of virtual reality compared to the role-playing methodology in basic life support training: a two-arm pilot community-based randomised trialWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-01-23Full publication date if available
- Authors
-
M Figols Pedrosa, A. B. Rodríguez Pérez, Josep Vidal‐Alaball, Queralt Miró Catalina, Anna Forcada ArcaronsList of authors in order
- Landing page
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https://doi.org/10.1186/s12909-023-04029-2Publisher landing page
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https://bmcmededuc.biomedcentral.com/counter/pdf/10.1186/s12909-023-04029-2Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://bmcmededuc.biomedcentral.com/counter/pdf/10.1186/s12909-023-04029-2Direct OA link when available
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Virtual reality, Test (biology), Training (meteorology), Medical education, Euros, Psychology, Computer science, Medicine, Applied psychology, Human–computer interaction, Philosophy, Humanities, Meteorology, Paleontology, Physics, BiologyTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 11, 2024: 7, 2023: 7Per-year citation counts (last 5 years)
- References (count)
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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