Evidence map›Paper›PMID 39290871›Full record

ArticleBMC digital health2024

Learner evaluation of an immersive virtual reality mass casualty incident simulator for triage training.

David P Way, Ashish R Panchal, Alan Price, Vita Berezina-Blackburn, Jeremy Patterson, Jillian McGrath, Douglas Danforth, Nicholas E Kman

Abstract read
In one paragraph

Article in BMC digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

David P WayDepartment of Emergency Medicine, The Ohio State University College of Medicine, 782 Prior Hall, 376 W. 10 Ave, Columbus, OH. 43210 USA.ORCID 0000-0002-1896-3425
Ashish R PanchalDepartment of Emergency Medicine, The Ohio State University College of Medicine, 760 Prior Hall, 376 W. 10 Ave, Columbus, OH. 43210 USA.ORCID 0000-0001-7382-982X
Alan PriceCenter for Immersive Media, University of the Arts, 310 S. Broad St, Philadelphia, PA 19102 USA.
Vita Berezina-BlackburnAdvanced Computing Center for the Arts and Design, The Ohio State University, 339B Sullivant Hall, 1813 N. High Street, Columbus, OH 43210 USA.
Jeremy PattersonAdvanced Computing Center for the Arts and Design, The Ohio State University, 331E Sullivant Hall, 1813 N. High Street, Columbus, OH 43210 USA.
Jillian McGrathDepartment of Emergency Medicine, The Ohio State University College of Medicine, 760 Prior Hall, 376 W. 10 Ave, Columbus, OH. 43210 USA.
Douglas DanforthDepartment of Obstetrics & Gynecology, The Ohio State University College of Medicine, 395 W. 12 Ave, Columbus, OH 43210 USA.ORCID 0000-0002-6029-4210
Nicholas E KmanDepartment of Emergency Medicine, The Ohio State University College of Medicine, 760 Prior Hall, 376 W. 10 Ave, Columbus, OH. 43210 USA.ORCID 0000-0002-4769-4658

Funding

Improving patient safety using Virtual Reality (VR) to train and assess emergency personnel responding to a mass casualty incident (MCI)R18HS025915 · AHRQ · OHIO STATE UNIVERSITY · PI DANFORTH, DOUGLAS R, KMAN, NICHOLAS E. · 2018 to 2022
$1.8M
AHRQ HHS R18 HS025915
6 · The paper itself

Abstract

Background: To minimize loss of life, modern mass casualty response requires swift identification, efficient triage categorization, and rapid hemorrhage control. Current training methods remain suboptimal. Our objective was to train first responders to triage a mass casualty incident using Virtual Reality (VR) simulation and obtain their impressions of the training's quality and effectiveness.We trained subjects in a triage protocol called Sort, Assess, Lifesaving interventions, and Treatment and/or Transport (SALT) Triage then had them respond to a terrorist bombing of a subway station using a fully immersive virtual reality simulation. We gathered learner reactions to their virtual reality experience and post-encounter debriefing with a custom electronic survey. The survey was designed to gather information about participants' demographics and prior experience, including roles, triage training, and virtual reality experience. We then asked them to evaluate the training and encounter and the system's potential for training others. Results: We received 375 completed evaluation surveys from subjects who experienced the virtual reality encounter. Subjects were primarily paramedics, but also included medical learners as well as other emergency medical service (EMS) professionals. Most participants (95%) recommended the experience for other first responders and rated the simulation (95%) and virtual patients (91%) as realistic. Ninety-four percent (94%) of participants rated the virtual reality simulator as "excellent" or "good." We observed some differences between emergency medical service and medical professionals regarding their prior experience with disaster response training and their opinions on how much the experience contributed to their learning. We observed no differences between subjects with extensive virtual reality experience and those without. Conclusions: Our virtual reality simulator is an automated, customizable, fully immersive virtual reality system for training and assessing personnel in the proper response to a mass casualty incident. Participants perceived the simulator as an adequate alternative to traditional triage and treatment training and believed that the simulator was realistic and effective for training. Prior experience with virtual reality was not a prerequisite for the use of this system. Supplementary Information: The online version contains supplementary material available at 10.1186/s44247-024-00117-5.

Indexed as

Disaster planningEducational measurementEducation, professionalEmergency medical servicesEmergency respondersMass casualty incidentsProfessional competenceTriageVirtual reality, educational

Identifiers

PMID39290871
PMCPMC11402856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.