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Record W3087065243 · doi:10.3233/wor-203267

Prevalence of exposure to critical incidents in firefighters across Canada

2020· review· en· W3087065243 on OpenAlexaffabout
Goris Nazari, Joy C. MacDermid, Kathryn E. Sinden, Robert D’Amico, Amanda Brazil, Nicholas R. Carleton, Heidi Cramm

Bibliographic record

VenueWork · 2020
Typereview
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsCanadian Institute for Military and Veteran Health ResearchQueen's UniversityUniversity of Prince Edward IslandUniversity of ReginaSt. Joseph's HospitalWestern UniversityLakehead UniversityHand and Upper Limb Clinic
Fundersnot available
KeywordsFirefightingDemographyMedicineOccupational safety and healthCritical variableEnvironmental healthGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Firefighters partake in and are exposed to a range of potentially traumatic events throughout their careers and the impact of such critical events could last a life time. Therefore, capturing such lifetime exposures is necessary for supporting firefighter health. OBJECTIVE: To estimate the prevalence of critical incidents in firefighters across Canada and determine whether the number of critical events varied based on age, gender, years of service; and to integrate our prevalence estimates using meta-analysis with previous studies to provide a pooled estimate. METHODS: We recruited 464 firefighters. Firefighters were asked to complete a self-report Critical Incident Inventory (CII) survey that included questions on exposure to critical events throughout their firefighting careers. Individual CII items were summarized as percentages, number of exposures, the total number and percentages of exposures to each of the six CII sub-scales. We also performed a multivariate enter regression analysis with the CII total score as dependant variable, and age, gender, years of service as independent variables, to estimate if the number of critical incidents among firefighters varied based on age, gender and years of service. RESULTS: Among the 390 full-time firefighters, 376 (96.4%) indicated exposure to some type of critical incident. More specifically, 351 (90%) reported a "respond to incident involving one or two deaths", and 314 (81%) reported a "respond to incident involving multiple serious injuries". Age, gender and years of service accounted for only 37.4% of the variance in the number of critical incidents among firefighters. In addition, our pooled estimate results of previous similar studies indicated an overall prevalence estimate of critical incident exposures was 93.40% (4 studies, 1725 of 1877 firefighters, 95% CI: 82.26 -99.30). CONCLUSIONS: Nearly all (96.4%) firefighters were exposed to some form of critical event over the span of their entire firefighting careers. Age, gender and years of service accounted for one-third of the variance in the number of critical incident exposures among firefighters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.524
Teacher spread0.412 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2020
Admission routes2
Has abstractyes

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