Evidence map›Paper›PMID 38707211›Full record

ArticleMethodsX2024

Developing risk profiling for firefighters: Enhancing safety and performance.

Haliza Mohd Zahari, Mohd Muhaimin Ridwan Wong, Noor Diyana Fazan Ahmad, Fuad Abas

Abstract read
In one paragraph

Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Haliza Mohd ZahariHADR Research Center, Strategic & Security Studies Institute, National Defence University of Malaysia, Kem Perdana Sg Besi, Kuala Lumpur 57000, Malaysia.
Mohd Muhaimin Ridwan WongHADR Research Center, Strategic & Security Studies Institute, National Defence University of Malaysia, Kem Perdana Sg Besi, Kuala Lumpur 57000, Malaysia.
Noor Diyana Fazan AhmadCentre for Research and Innovation Management, National Defence University of Malaysia, Kem Perdana Sg Besi, Kuala Lumpur 57000, Malaysia.
Fuad AbasHADR Research Center, Strategic & Security Studies Institute, National Defence University of Malaysia, Kem Perdana Sg Besi, Kuala Lumpur 57000, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Firefighters encounter numerous complex and ever-changing hazards when carrying out emergency response activities, necessitating the development of effective risk profiling methods to enhance both their safety and operational efficiency. This study outlines a comprehensive approach to constructing risk profiles tailored specifically for firefighters, integrating various methodologies to create a robust and adaptable framework. The methods used incorporating historical incident data, environmental variables, and individual firefighter characteristics to identify and assess potential risks. Additionally, the risk profiling framework include Psychosocial risk factors are also considered, allowing for a holistic understanding of the human element in firefighting risk assessment. By developing risk profiles to the specific needs and characteristics of firefighters, this method aims to significantly improve their safety, ability to make decisions, and overall operational efficiency in the demanding and ever-changing setting of emergency response situations. This article discussed methods•To identify safety cultures using questionnaires•To analyse risk from incident reports using content analysis•To verify and validate risk using thematic analysis from Focus Group Discussion.

Indexed as

Fire fightersRisk analysisRisk profilingRisk Profiling for FirefightersRisk spectrumSafety cultures

Identifiers

PMID38707211
PMCPMC11068843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.