Evidence map›Paper›PMID 33110714›Full record

ArticleCureus2020

Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy.

Ethan N Hartman, Benjamin Daines, Christina Seto, Deborah Shimshoni, Madison E Feldman, Michelle LaBrunda

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

6 authors at 2 institutions in 1 country.

Ethan N HartmanMedicine, University of Central Florida College of Medicine, Orlando, USA.
Benjamin DainesMedicine, University of Central Florida College of Medicine, Orlando, USA.
Christina SetoMedicine, University of Central Florida College of Medicine, Orlando, USA.
Deborah ShimshoniMedicine, University of Central Florida College of Medicine, Orlando, USA.
Madison E FeldmanMedicine, University of Central Florida College of Medicine, Orlando, USA.
Michelle LaBrundaInternal Medicine, University of Central Florida College of Medicine, Orlando, USA.
Florida College · USUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Mass casualty incident (MCI) simulation and triage are educational methods used to provide high fidelity training to first response teams. Simulation and triage need to be as effective as possible to train professionals for true emergencies involving mass casualty. Although MCI simulation and triage have been used in the pre-professional setting (i.e. medical school, nursing school, etc.), more data is required regarding quality improvement of these simulations. This study focuses on quality improvement of MCI simulation and triage in the pre-professional training. In order to evaluate simulation quality to optimize future triage simulations, this study had three specific aims: (1) assess participant accuracy of triage after training in Sort, Assess, Life-Saving Interventions, Triage/Transport (SALT); (2) evaluate the role of stress and confidence in participants of triage simulation; (3) determine trainees' perception of unmanned aerial vehicles (drones) in the setting of mass casualty simulation. Methods A total of 44 attendees of the University of Central Florida (UCF) College of Medicine Global Health Conference participated in this study across three groups. Each group was provided a 15-minute lecture on SALT protocol. After the training, the participants continued to a 30-minute simulation in which they were asked to accurately triage up to 46 patient-actors. Each participants' triage designations were compared to the previously assigned designations of each patient-actor. Pre- and post-simulation surveys were collected and analyzed using Statistical Package for the Social Sciences (SPSS) (IBM Corp., Chicago, IL). All other data were analyzed using descriptive statistics.  Results Qualitative and Likert data for the simulation were collected from 44 participants. Given a total of 1,113 triage scores (average of 25.29 triage designations per person), there was data to support that novice learners in this study tended to under-triage using the SALT protocol after 15-minute SALT training, with an overall accuracy of 52.43%. Survey data showed that confidence in mass casualty triage improved post-simulation, improving from median 3/10 to 5/10. Most participants were unaware of the use of unmanned aerial vehicles in MCI but most had positive opinions of their usefulness in MCI after the simulation, with a median score of 8/10. Conclusions Participant accuracy of triage after undergoing a 15-minute training in SALT triage was 52.43%, with a non-statistically significant tendency to under-triage. This accuracy level is consistent with other studies of SALT triage in MCI, but the tendency to undertriage requires further study for validation. Stress levels during the simulation were significantly elevated, while post-simulation confidence increased significantly from pre-simulation. The perception of drone utility in MCI was favorable among participants in this study, indicating drones may be useful for first response teams in future mass casualty simulations.

Indexed as

droneglobal healthlearnermass casualtyquality improvementtriage

Identifiers

PMID33110714
PMCPMC7577607
OpenAlexW3087003487

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.