Training of Shoulder Dystocia Using Virtual Reality: A Feasibility Study
Background: Simulation training is an important aspect of obstetric education but high-fidelity simulation is resource-intensive.This study aimed to evaluate Virtual Reality (VR) technology for simulation training of shoulder dystocia (SD).Methods: Trainees were instructed on the technological aspects.Consequently, they managed a SD scenario in VR, following a standardized algorithm.Self-evaluation of nontechnical skills and task demands was conducted using the modified Human Factors Skills for Healthcare Instrument and the NASA Task Load Index questionnaire.Results: We included 44 participants, who completed the scenario within a five minute time-limit.There was a significant decrease in time-to-delivery, from 136 (106-181) seconds on the first to 88 (69-135) seconds on the second attempt.Qualitative analysis indicated a high self-perceived initial human skills level and a high degree of effort with 11 (7-13) points, mental (12 [7-15]), and temporal (11.5 [9-15]) demands during training.Conclusions: VR is a modern, feasible, and effective option for simulation training for SD.Randomized controlled trials are required to further evaluate this training modality in obstetric medical education.
Authors
- Veronica Falcone (ORCID: https://orcid.org/0000-0002-2412-1822)
- Fanny Mikula (ORCID: https://orcid.org/0000-0001-5062-0097)
- Anja Catic
- Florian Heinzl (ORCID: https://orcid.org/0000-0003-0523-5696)
- Bernhard Roessler (ORCID: https://orcid.org/0000-0002-1533-5546)
- Philipp Foessleitner (ORCID: https://orcid.org/0000-0002-8409-1119)
- Tim Dorittke (ORCID: https://orcid.org/0000-0002-9121-3401)
- Alex Farr (ORCID: https://orcid.org/0000-0002-4628-9052)
- Katharina Adelwoehrer
- E. Karner
Institutions
- Comprehensive Cancer Center Vienna (AT)
- Medical University of Vienna (AT)
Publication Details
- Journal
- Clinical Simulation in Nursing
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1016/j.ecns.2024.101623
- Citations
- 2
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- Medizinische Universität Wien