Virtual reality environments to train soft skills in medical and nursing education: a technical feasibility study between France and Japan - Archive ouverte HAL
Article Dans Une Revue International Journal of Computer Assisted Radiology and Surgery Année : 2023

Virtual reality environments to train soft skills in medical and nursing education: a technical feasibility study between France and Japan

Résumé

PURPOSE: To meet the urgent and massive training needs of healthcare professionals, the use of digital technologies is proving increasingly relevant, and the rise of digital training platforms shows their usefulness and possibilities. However, despite the impact of these platforms on the medical skills learning, cultural differences are rarely factored in the implementation of these training environments. METHODS: By using the Scrub Nurse Non-Technical Skills Training System (SunSet), we developed a methodology enabling the adaptation of a virtual reality-based environment and scenarios from French to Japanese cultural and medical practices. We then conducted a technical feasibility study between France and Japan to assess virtual reality simulations acceptance among scrub nurses. RESULTS: Results in term of acceptance do not reveal major disparity between both populations, and the only emerging significant difference between both groups is on the Behavioral Intention, which is significantly higher for the French scrub nurses. In both cases, participants had a positive outlook. CONCLUSION: The findings suggest that the methodology we have implemented can be further used in the context of cultural adaptation of non-technical skills learning scenarios in virtual environments for the training and assessment of health care personnel.
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Dates et versions

hal-03970299 , version 1 (02-02-2023)

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Marie Le Duff, Estelle Michinov, Marie-Stéphanie Bracq, Nobutaka Mukae, Masatoshi Eto, et al.. Virtual reality environments to train soft skills in medical and nursing education: a technical feasibility study between France and Japan. International Journal of Computer Assisted Radiology and Surgery, 2023, ⟨10.1007/s11548-023-02834-0⟩. ⟨hal-03970299⟩
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