Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators

Anke Baetzner; Yannick Hill; Benjamin Roszipal; Solene Gerwann; Matthias Beutel; Tanja Birrenbach; Markus Karlseder; Stefan Mohr; Gabriel Salg; Helmut Georg Schrom-Feiertag; Marie Ottilie Frenkel; Cornelia Wrzus

doi:10.2196/63241

Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators

Anke Baetzner, Yannick Hill, Benjamin Roszipal, Solene Gerwann, Matthias Beutel, Tanja Birrenbach, Markus Karlseder, Stefan Mohr, Gabriel Salg, Helmut Georg Schrom-Feiertag, Marie Ottilie Frenkel, Cornelia Wrzus

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Abstract

Background: Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking. This study aimed to investigate whether different performance indicators based on visual attention, triage performance, and information transmission can be effectively extended to MCI training in iVR by testing if they can discriminate between different levels of expertise. Furthermore, the study examined the extent to which such objective indicators correlate with subjective performance assessments.

Originalsprache	Englisch
Seitenumfang	18
Fachzeitschrift	Journal of Medical Internet Research
Volume	27
DOIs	https://doi.org/10.2196/63241
Publikationsstatus	Veröffentlicht - 27 Jan. 2025

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Future Interface Design

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10.2196/63241

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Baetzner, A., Hill, Y., Roszipal, B., Gerwann, S., Beutel, M., Birrenbach, T., Karlseder, M., Mohr, S., Salg, G., Schrom-Feiertag, H. G., Frenkel, M. O., & Wrzus, C. (2025). Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators. Journal of Medical Internet Research, 27. https://doi.org/10.2196/63241

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doi = "10.2196/63241",

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AU - Baetzner, Anke

AU - Hill, Yannick

AU - Roszipal, Benjamin

AU - Gerwann, Solene

AU - Beutel, Matthias

AU - Birrenbach, Tanja

AU - Karlseder, Markus

AU - Mohr, Stefan

AU - Salg, Gabriel

AU - Schrom-Feiertag, Helmut Georg

AU - Frenkel, Marie Ottilie

AU - Wrzus, Cornelia

PY - 2025/1/27

Y1 - 2025/1/27

N2 - Background: Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking. This study aimed to investigate whether different performance indicators based on visual attention, triage performance, and information transmission can be effectively extended to MCI training in iVR by testing if they can discriminate between different levels of expertise. Furthermore, the study examined the extent to which such objective indicators correlate with subjective performance assessments.

AB - Background: Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking. This study aimed to investigate whether different performance indicators based on visual attention, triage performance, and information transmission can be effectively extended to MCI training in iVR by testing if they can discriminate between different levels of expertise. Furthermore, the study examined the extent to which such objective indicators correlate with subjective performance assessments.

KW - Virtual reality training

KW - medical first responder

KW - challenging environments

U2 - 10.2196/63241

DO - 10.2196/63241

M3 - Article

SN - 1439-4456

VL - 27

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

ER -

Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators

Abstract

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