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Extended Reality-Enhanced Mental Health Consultation Training: Quantitative Evaluation Study.

Hiley, Katherine ORCID logoORCID: https://orcid.org/0009-0000-1824-3850, Bi-Mohammed, Zanib ORCID logoORCID: https://orcid.org/0000-0001-9382-6829, Taylor, Luke ORCID logoORCID: https://orcid.org/0009-0006-7246-5116, Burgess-Dawson, Rebecca ORCID logoORCID: https://orcid.org/0000-0001-6391-4019, Patterson, Dominic ORCID logoORCID: https://orcid.org/0009-0007-8274-2030, Puttick-Whiteman, Devon ORCID logoORCID: https://orcid.org/0009-0000-2321-7200, Gay, Christopher ORCID logoORCID: https://orcid.org/0000-0002-8223-741X, Hiscoe, Janette ORCID logoORCID: https://orcid.org/0009-0007-8904-709X, Munsch, Chris ORCID logoORCID: https://orcid.org/0000-0002-3204-2112, Richardson, Sally ORCID logoORCID: https://orcid.org/0009-0009-3293-1065, Knowles-Lee, Mark ORCID logoORCID: https://orcid.org/0009-0007-0467-5960, Beecham, Celia ORCID logoORCID: https://orcid.org/0009-0003-8752-9002, Ralph, Neil ORCID logoORCID: https://orcid.org/0009-0002-8948-4437, Chatterjee, Arunangsu ORCID logoORCID: https://orcid.org/0000-0002-9506-6007, Mathew, Ryan ORCID logoORCID: https://orcid.org/0000-0002-2609-9876 and Mushtaq, Faisal ORCID logoORCID: https://orcid.org/0000-0001-7881-1127 (2025) Extended Reality-Enhanced Mental Health Consultation Training: Quantitative Evaluation Study. JMIR medical education, 11. e64619.

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Abstract

The use of extended reality (XR) technologies in health care can potentially address some of the significant resource and time constraints related to delivering training for health care professionals. While substantial progress in realizing this potential has been made across several domains, including surgery, anatomy, and rehabilitation, the implementation of XR in mental health training, where nuanced humanistic interactions are central, has lagged. Given the growing societal and health care service need for trained mental health and care workers, coupled with the heterogeneity of exposure during training and the shortage of placement opportunities, we explored the feasibility and utility of a novel XR tool for mental health consultation training. Specifically, we set out to evaluate a training simulation created through collaboration among software developers, clinicians, and learning technologists, in which users interact with a virtual patient, "Stacey," through a virtual reality or augmented reality head-mounted display. The tool was designed to provide trainee health care professionals with an immersive experience of a consultation with a patient presenting with perinatal mental health symptoms. Users verbally interacted with the patient, and a human instructor selected responses from a repository of prerecorded voice-acted clips. In a pilot experiment, we confirmed the face validity and usability of this platform for perinatal and primary care training with subject-matter experts. In our follow-up experiment, we delivered personalized 1-hour training sessions to 123 participants, comprising mental health nursing trainees, general practitioner doctors in training, and students in psychology and medicine. This phase involved a comprehensive evaluation focusing on usability, validity, and both cognitive and affective learning outcomes. We found significant enhancements in learning metrics across all participant groups. Notably, there was a marked increase in understanding (P<.001) and motivation (P<.001), coupled with decreased anxiety related to mental health consultations (P<.001). There were also significant improvements to considerations toward careers in perinatal mental health (P<.001). Our findings show, for the first time, that XR can be used to provide an effective, standardized, and reproducible tool for trainees to develop their mental health consultation skills. We suggest that XR could provide a solution to overcoming the current resource challenges associated with equipping current and future health care professionals, which are likely to be exacerbated by workforce expansion plans. [Abstract copyright: ©Katherine Hiley, Zanib Bi-Mohammad, Luke Taylor, Rebecca Burgess-Dawson, Dominic Patterson, Devon Puttick-Whiteman, Christopher Gay, Janette Hiscoe, Chris Munsch, Sally Richardson, Mark Knowles-Lee, Celia Beecham, Neil Ralph, Arunangsu Chatterjee, Ryan Mathew, Faisal Mushtaq. Originally published in JMIR Medical Education (https://mededu.jmir.org), 02.04.2025.]

Item Type: Article
Status: Published
DOI: 10.2196/64619
School/Department: School of Science, Technology and Health
URI: https://ray.yorksj.ac.uk/id/eprint/11914

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