Evidence map›Paper›PMID 39429358›Full record

ArticleCureus2024

A Low-Cost, Low-Tech Virtual Mass Casualty Training Simulation for Undergraduate Medical Education.

Samuel Kolb, Puja Patel, Vishnu Mudrakola, Dhimitri A Nikolla, Amanda Lee, Dusty Barbour, Kaitlin M Bowers

Abstract read
In one paragraph

Article in Cureus, 2024. 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. Enhancing emergency response in Somalia: Evaluating the WHO Mass Casualty Management course in trauma hospitals.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
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

7 authors.

Samuel KolbDepartment of Emergency Medicine, Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, USA.
Puja PatelDepartment of Emergency Medicine, Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, USA.
Vishnu MudrakolaDepartment of Emergency Medicine, Summa Health, Akron, USA.
Dhimitri A NikollaDepartment of Internal Medicine/Emergency Medicine, Lake Erie College of Osteopathic Medicine, Erie, USA.
Amanda LeeDepartment of Emergency Medicine, Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, USA.
Dusty BarbourDepartment of Emergency Medicine, Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, USA.
Kaitlin M BowersDepartment of Emergency Medicine, Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMass casualty incident (MCI) training effectively increases trainees' knowledge and confidence when implemented in a live, in-person setting. In-person MCI training is resource-intensive, but virtual MCI training models are an alternative with similar effectiveness at a lesser cost. However, most of these validated virtual options are based on high-tech virtual reality (VR) programs. We designed and implemented a low-tech, low-cost virtual MCI training model for third-year medical students, using Google Jamboard

methodsLearners were instructed on the adult simple triage and rapid treatment (START) and the pediatric JumpSTART triage algorithms over Zoom

resultsLearners reported an increased understanding of the triage algorithms (adult and pediatric), scene setup, and understanding of emergency medical service training/transportation, as well as increased confidence in participating in an MCI (all p < 0.001).

conclusionsVirtual MCI training can be used as an alternative or supplement to in-person MCI training. Low-tech virtual MCI training models can increase the accessibility of these valuable training activities without sacrificing the quality of learning. Areas for further investigation include low-tech virtual MCI training models' ability to effectively recreate situational and environmental distractions and other challenges better simulated by in-person and high-tech VR training events.

Indexed as

disasterdisaster preparednessdisaster response and preparednessfield triagemass casualty incidentmulti-victimsimulationtriageundergraduate medical educationvirtual training models

Identifiers

PMID39429358
PMCPMC11486625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.