Exploring ambulance clinicians’ clinical reasoning when training mass casualty incidents using virtual reality: a qualitative study
2024 (English)In: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, E-ISSN 1757-7241, Vol. 32, no 1, article id 90
Article in journal (Refereed) Published
Abstract [en]
Background: How ambulance clinicians (ACs) handle a mass casualty incident (MCI) is essential for the suffered, but the training and learning for the ACs are sparse and they don’t have the possibility to learn without realistic simulation training. In addition, it is unclear what type of dilemmas ACs process in their clinical reasoning during an MCI. With virtual reality (VR) simulation, the ACs clinical reasoning can be explored in a systematic way. Therefore, the objective was to explore ambulance clinicians’ clinical reasoning when simulating a mass casualty incident using virtual reality.
Methods: This study was conducted as an explorative interview study design using chart- stimulated recall technique for data collection. A qualitative content analysis was done, using the clinical reasoning cycle as a deductive matrix. A high-fidelity VR simulation with MCI scenarios was used and participants eligible for inclusion were 11 senior ACs.
Results/conclusion: All phases of the clinical reasoning cycle were found to be reflected upon by the participants during the interviews, however with a varying richness of analytic reflectivity. Non-analytic reasoning predominated when work tasks followed specific clinical guidelines, but analytical reasoning appeared when the guidelines were unclear or non-existent. Using VR simulation led to training and reflection on action in a safe and systematic way and increased self-awareness amongst the ACs regarding their preparedness for MCIs. This study increases knowledge both regarding ACs clinical reasoning in MCIs, and insights regarding the use of VR for simulation training.
Place, publisher, year, edition, pages
BioMed Central (BMC), 2024. Vol. 32, no 1, article id 90
Keywords [en]
Ambulance services, Chart-stimulated recall technique, Clinical reasoning, Disaster preparedness, High-fidelity simulation, Mass casualty incident, Virtual reality
National Category
Health Care Service and Management, Health Policy and Services and Health Economy Nursing
Identifiers
URN: urn:nbn:se:umu:diva-230018DOI: 10.1186/s13049-024-01255-5ISI: 001314024900001PubMedID: 39285463Scopus ID: 2-s2.0-85204171975OAI: oai:DiVA.org:umu-230018DiVA, id: diva2:1902710
Funder
Sophiahemmet UniversityLaerdal Foundation for Acute Medicine, 35552024-10-022024-10-022024-10-02Bibliographically approved