Evidence map›Paper›PMID 40916379›Full record

ArticlePrehospital and disaster medicine2025

Virtual Reality Simulation for Assessment of Hemorrhage Control and SALT Triage Performance: A Comparison of Prehospital to In-Hospital Emergency Responders.

Nicholas Kman, David Way, Ashish R Panchal, Jeremy Patterson, Jillian McGrath, Douglas Danforth, Ashutosh Mani, Dave Babbitt, Jacob Hyde, Brian Pippin and 2 more

Abstract readComparative Study
In one paragraph

Article in Prehospital and disaster medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

12 authors.

Nicholas KmanThe Ohio State University, Columbus, Ohio USA.ORCID 0000-0002-4769-4658
David WayThe Ohio State University, Columbus, Ohio USA.ORCID 0000-0002-1896-3425
Ashish R PanchalThe Ohio State University, Columbus, Ohio USA.ORCID 0000-0001-7382-982X
Jeremy PattersonThe Ohio State University, Columbus, Ohio USA.
Jillian McGrathThe Ohio State University, Columbus, Ohio USA.
Douglas DanforthThe Ohio State University, Columbus, Ohio USA.ORCID 0000-0002-6029-4210
Ashutosh ManiBig Bear AI, Columbia, MarylandUSA.
Dave BabbittBig Bear AI, Columbia, MarylandUSA.
Jacob HydeWarfighter Consulting, Scottsdale, Arizona USA.
Brian PippinCACI, Inc, Falls Church, VirginiaUSA.
Ewart de VisserDe Visser Research, Springfield, VirginiaUSA.
Jennifer McVayCACI, Inc, Falls Church, VirginiaUSA.

Funding

AHRQ HHS R18 HS025915
6 · The paper itself

Abstract

introductionTargeted identification, effective triage, and rapid hemorrhage control are essential for optimal outcomes of mass-casualty incidents (MCIs). An important aspect of Emergency Medical Service (EMS) care is field triage, but this skill is difficult to teach, assess, and research. STUDY

objectiveThis study assessed triage efficacy and hemorrhage control of emergency responders from different professions who used the Sort, Assess, Life-Saving Treatment (SALT) triage algorithm in a virtual reality (VR) simulation of a terrorist subway bombing.

methodsAfter a brief just-in-time training session on the SALT triage algorithm, participants applied this learning in First

resultsThe study assessed 282 participants from the ranks of EMS clinicians and medical trainees. Most (94%) participants correctly executed both global SALT sort commands. Participants triaged and treated the entire scene in a mean time of 7.8 decimal minutes, (95%CI, 7.6-8.1; SD = 1.9 decimal minutes) with a patient triage accuracy rate of 75.8% (95%CI, 74.0-77.6; SD = 15.0%). Approximately three-quarters (77%) of participants successfully controlled all life-threatening hemorrhage, within a mean time of 5.3 decimal minutes (95%CI, 5.1-5.5; SD = 1.7 decimal minutes). Mean time to hemorrhage control per patient was 0.349 decimal minutes (SD = 0.349 decimal minutes). Overall, EMS clinicians were more accurate with triage (P ≤ .001) and were faster at triage, total hemorrhage control (P < .01), and hemorrhage control per patient (P < .004) than medical trainees.

conclusionsThrough assessments using VR simulation, it was observed that more experienced individuals from the paramedic (PM) workforce out-performed less experienced medical trainees. The study also observed that the medical trainees performed acceptably, even though their only formal training in SALT triage was a 30-minute, just-in-time lecture. Both of these findings are important for establishing evidence that VR can serve as a valid platform for assessing the complex skills of triage and treatment of an MCI, including the assessment of rapid hemorrhage control.

Indexed as

Emergency Medical ServicesEmergency RespondersHemorrhageMass Casualty IncidentsSimulation TrainingTriageVirtual RealityAdultAlgorithmsFemaleHumansMaledisaster planningeducationalEmergency Medical Servicesemergency respondershemorrhage controlmass-casualty incidentstriagevirtual reality

Identifiers

PMID40916379
PMCPMC12809204

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.