Evidence map›Paper›PMID 38328887›Full record

SynthesisPrehospital and disaster medicine2024

Using High-Fidelity Virtual Reality for Mass-Casualty Incident Training by First Responders - A Systematic Review of the Literature.

Sara Heldring, Maria Jirwe, Jonas Wihlborg, Lukas Berg, Veronica Lindström

Abstract readSystematic Review
In one paragraph

Synthesis in Prehospital and disaster medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

5 authors.

Sara HeldringDepartment of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7334-9938
Maria JirweDepartment of Health Sciences, Swedish Red Cross University, Stockholm, Sweden.
Jonas WihlborgSchool of Health and Welfare, Dalarna University, Falun, Sweden.
Lukas BergSamariten Ambulance, Stockholm, Sweden.
Veronica LindströmDepartment of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFirst responders' training and learning regarding how to handle a mass-casualty incident (MCI) is traditionally based on reading and/or training through computer-based scenarios, or sometimes through live simulations with actors. First responders should practice in realistic environments to narrow the theory-practice gap, and the possibility of repeating the training is important for learning. High-fidelity virtual reality (VR) is a promising tool to use for realistic and repeatable simulation training, but it needs to be further evaluated. The aim of this literature review was to provide a comprehensive description of the use of high-fidelity VR for MCI training by first responders.

methodsA systematic integrative literature review was used according to Whittemore and Knafl's descriptions. Databases investigated were PubMed, CINAHL Complete, Academic Search Ultimate, Web of Science, and ERIC to find papers addressing the targeted outcome. The electronic search strategy identified 797 potential studies. Seventeen studies were deemed eligible for final inclusion.

resultsTraining with VR enables repetition in a way not possible with live simulation, and the realism is similar, yet not as stressful. Virtual reality offers a cost-effective and safe learning environment. The usability of VR depends on the level of immersion, the technology being error-free, and the ease of use.

conclusionsThis integrative review shows that high-fidelity VR training should not rule out live simulation, but rather serve as a complement. First responders became more confident and prepared for real-life MCIs after training with high-fidelity VR, but efforts should be made to solve the technical issues found in this review to further improve the usability.

Indexed as

Emergency RespondersMass Casualty IncidentsVirtual RealityHumansSimulation Trainingdisaster medicineEmergency Medical Serviceshigh-fidelity simulationmass-casualty incidentreviewsimulation trainingsituated cognition theoryvirtual reality

Identifiers

PMID38328887
PMCPMC10882557

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.