Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation Article Swipe
Paul Roux
,
Yujiro Okuya
,
Cristina Morel
,
Michael R. Soules
,
Hugo Bottemanne
,
Éric Brunet-Gouet
,
Stéphanie Frileux
,
Christine Passerieux
,
Nadia Younès
,
Jean‐Claude Martin
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/69347
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/69347
Background Suicide is a leading cause of preventable death worldwide. Nurses play a critical role in suicide prevention; yet, they face significant obstacles. Improving the evaluation and management of patients at risk of suicide requires innovative training techniques that safely and effectively enhance nursing students’ skills, knowledge, and confidence. Virtual simulation (VS) based training can be particularly effective because it allows interaction with patients without the risk of causing harm. Objective The purpose of this study was to evaluate the pedagogical effectiveness of a novel VS tool featuring a fully automated and emotionally reactive virtual patient by assessing its ability to assist nursing students in learning suicide risk assessment. VS also included an online group debriefing, co-run by a nurse and a medical teacher. Methods A randomized controlled investigation was conducted with 68 first-year nursing students recruited from nursing schools offline and . They were divided into a control group receiving teaching as usual (TAU) and an intervention group receiving TAU plus VS. The intervention was purely web-based and unblinded. Outcomes were self-assessed through questionnaires using Kirkpatrick Training Evaluation Model, which focuses on knowledge, skills, confidence, empathy, and satisfaction among students. Results The VS group exhibited significantly higher confidence (3 points of increase after TAU vs 10.6 points of increase after VS, B=7.2; SE 2.5; t 111.5 =2.8; P =.006) and a marginally enhanced ability to respond appropriately to suicidal thoughts (1.6 points of improvement after TAU vs 6.4 points of improvement after VS, B=−4.5; SE 2.5; t 119.5 =−1.8; P =.08) compared with the control group. However, there were no significant differences in knowledge acquisition or the general level of empathy. Satisfaction with VS was high, particularly regarding the authenticity of the virtual patient. Authenticity was perceived as greater when emotional prosody was included with facial emotions. Conclusions The use of VS demonstrated promising results in enhancing nursing students’ confidence in detecting suicide risk and their skills in counseling individuals experiencing a suicide crisis, suggesting its incorporation into routine teaching methods. Further research is needed to explore its long-term benefits for students and its impact on patient outcomes.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2196/69347
- OA Status
- gold
- Cited By
- 1
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410157511
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410157511Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/69347Digital Object Identifier
- Title
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Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled InvestigationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-07Full publication date if available
- Authors
-
Paul Roux, Yujiro Okuya, Cristina Morel, Michael R. Soules, Hugo Bottemanne, Éric Brunet-Gouet, Stéphanie Frileux, Christine Passerieux, Nadia Younès, Jean‐Claude MartinList of authors in order
- Landing page
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https://doi.org/10.2196/69347Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.2196/69347Direct OA link when available
- Concepts
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Preprint, Suicide Risk, Randomized controlled trial, Psychology, Nursing, Medical education, Engineering, Suicide prevention, Medicine, Computer science, Poison control, World Wide Web, Medical emergency, SurgeryTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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57Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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