ArticleAcute medicine & surgery2018
Simulation study of a low-tech and reliable identification coding method for mass casualties.
Article in Acute medicine & surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Assessment of RAdiopaque Patient IDentification Stickers (RAPIDS) for patient-scan correlation in a mass casualty incident.Emergency radiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo evaluate the ease of use, reliability, and duplication risks of a new identification (ID) coding method, which works for mass casualty events such as disaster scenes.
methodsThe new ID code consisted of 16 alphanumeric characters: seven characters for the responder's information and nine for the casualty, which can be created in a very low-tech manner without using any electronic devices. A simulated triage was carried out for virtual causalities by students of the same grade at our university's medical school. Each participant was instructed to triage and create IDs for the same 10 virtual casualties. Eighty-nine participants created a total of 890 IDs, which were examined for correct coding and ID duplication rates.
resultsDespite situations in which the risk of duplication might be considered high, complete duplication of IDs occurred in only one case (0.2%), and the other 888 IDs (99.8%) were unique. The simulation was done in a reasonable amount of time without any confusion.
conclusionsIn the mass casualty incident triage simulation, our new coding method proved easy and useful in creating IDs with an extremely low duplication rate. To develop this method for broader use, further evaluation is needed in more simulations and real disaster situations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.