An Extended Reality Simulator for Advanced Trauma Life Support Training

Chandrashekar, Nikitha Donekal; Manuel, Mark; Park, Juwon; Greene, Alicia; Safford, Shawn D.; Gračanin, Denis

doi:10.1007/978-3-031-06015-1_3

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…We also captured usability through the 10-item System Usability Scale (SUS; Brooke, 1996) as it has widely been used to evaluate XR as a tool for healthcare training (Arpaia et al, 2022;Donekal Chandrashekar et al, 2022;Taylor et al, 2022). Scores of more than 80 indicate excellence, between 70-80 are considered good, and less than 50 is not acceptable (Bangor, 2009).…”

Section: Participantsmentioning

confidence: 99%

eXtended Reality Enhanced Mental Health Consultation Training

Hiley,

Mohammad,

Taylor

et al. 2024

Preprint

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Background: The use of extended reality (XR) technologies in healthcare can potentially address some of the significant resource and time constraints related to delivering training for healthcare professionals. While substantial progress in realising 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. Objectives: Given the growing societal and healthcare 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 a collaboration between 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 healthcare 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 pre-recorded voice-acted clips. Methods: 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 personalised one-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. Results: 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 towards careers in perinatal mental health (p<.001). Conclusions: These findings show, for the first time, that XR can be used to provide an effective, standardised, 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 healthcare professionals, which are likely to be exacerbated by workforce expansion plans.

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