Evidence map›Paper›PMID 38298249›Full record

ArticleWestern Pacific surveillance and response journal : WPSAR2023

Developing the Disaster Medical Responder's Course in Singapore.

Jen Heng Pek, Li Juan Joy Quah, Kuan Peng David Teng, Yi Wen Mathew Yeo, Chan Yu Jimmy Lee

Abstract read
In one paragraph

Article in Western Pacific surveillance and response journal : WPSAR, 2023. 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. 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

5 authors.

Jen Heng PekDisaster Site Medical Command, Ministry of Health, Singapore.
Li Juan Joy QuahDisaster Site Medical Command, Ministry of Health, Singapore.
Kuan Peng David TengDisaster Site Medical Command, Ministry of Health, Singapore.
Yi Wen Mathew YeoDisaster Site Medical Command, Ministry of Health, Singapore.
Chan Yu Jimmy LeeDisaster Site Medical Command, Ministry of Health, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problem: Emergency medical teams (EMTs) deployed to mass casualty incidents (MCIs) are required to work outside their usual settings and according to different principles, which may affect their performance and the survival of casualties. Prior to 2013, training offered to domestic EMTs was limited to ad hoc and infrequent simulation exercises. Context: Domestic EMTs are activated from public tertiary hospitals to provide pre-hospital medical support to the Singapore Civil Defence Force and establish a first-aid post (FAP) for triaging, stabilizing and treating casualties. These casualties are then evacuated to public hospitals for further management. Action: Recognizing the need for a more systematic approach to the training of domestic EMTs, the Disaster Medical Responder's Course (the Course) was developed as a multiinstitutional collaboration to equip EMT members attending a MCI with the necessary skills to perform effectively at the FAP. Outcome: The Course was first run in 2013 and is usually offered six to eight times a year. Since June 2019, a total of 414 health-care staff and allied health professionals have participated. There have been numerous revisions of the course content and delivery to reflect the latest concepts in operations and global best practice, as well as developments in educational methodologies. Discussion: Preparedness is crucial to optimize the survival and outcomes of casualties. The Course provides standardized training of domestic EMTs and plays a pivotal role in ensuring operational readiness for MCIs in Singapore.

Indexed as

Disaster PlanningEmergency Medical ServicesEmergency RespondersCurriculumHumansMass Casualty IncidentsSingaporeTriage

Identifiers

PMID38298249
PMCPMC10824630

What OpenQuestion holds

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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.