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

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

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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Acknowledgements

The authors wish to thank the following individuals for their significant contributions to this study: the participants for their time and dedication in the data collection process, Satoshi Kobayashi, Jun Mutaguchi and Yoshihiro Nagao from Kyushu University, Fukuoka, and Anne Vagneur and Stephen Parot, from the Scrub Nurses School of Rennes, for their involvement and support during simulation sessions.

Funding

This work is supported by the French Ministry of Research and Education as part of the “Laboratoires d'Excellence”, Labex CominLabs, SunSet project: “Scrub Nurse Non-Technical Skill Training System” and S3PM International.

Author information

Authors and Affiliations

  1. Inserm, LTSI - UMR 1099, Université de Rennes, 35000, Rennes, France

    Marie Le Duff, Marie-Stéphanie Bracq & Pierre Jannin

  2. LP3C (EA 1285), Université de Rennes, 35000, Rennes, France

    Estelle Michinov & Marie-Stéphanie Bracq

  3. Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

    Nobutaka Mukae

  4. Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

    Masatoshi Eto

  5. Department of Advanced Medicine and Innovative Technology, Kyushu University Hospital, Fukuoka, Japan

    Masatoshi Eto & Makoto Hashizume

  6. Ecole d’Infirmier(e)s de Bloc Opératoire – Pôle de formation des professionnels de santé du CHU de Rennes, Rennes, France

    Jeanne Descamps

Authors
  1. Marie Le Duff
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  2. Estelle Michinov
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  3. Marie-Stéphanie Bracq
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  4. Nobutaka Mukae
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  5. Masatoshi Eto
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  6. Jeanne Descamps
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  7. Makoto Hashizume
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  8. Pierre Jannin
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Contributions

All authors associated with this manuscript were involved with the study design, implementation or preparation of the manuscript.

Corresponding author

Correspondence to Pierre Jannin.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval and consent to participate

In France, the study was approved by the Ethics Committee of the University Hospital of Rennes, and in Japan the experiment is approved by the ethical committee of Kyushu University Hospital. All participants provided voluntary informed consent prior to testing.

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Le Duff, M., Michinov, E., Bracq, MS. et al. Virtual reality environments to train soft skills in medical and nursing education: a technical feasibility study between France and Japan. Int J CARS 18, 1355–1362 (2023). https://doi.org/10.1007/s11548-023-02834-0

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  • DOI: https://doi.org/10.1007/s11548-023-02834-0

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