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Record W6925556999 · doi:10.17605/osf.io/rnfah

Systematic Review of Trauma-related Mental Health Symptoms in Public Service Personnel: Prevalence, Prevention/Intervention & Work Outcomes

2023· other· en· W6925556999 on OpenAlexafffund

Bibliographic record

VenueOpen Science Framework · 2023
Typeother
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsUniversity of British Columbia
FundersWorkSafeBC
KeywordsMental healthAnxietyIntervention (counseling)Depression (economics)Public healthOccupational safety and healthWork (physics)Narrative reviewOccupational stress

Abstract

fetched live from OpenAlex

Public service personnel (PSP), including emergency responders, corrections, and transportation workers, among others, experience potentially traumatic events (PTEs) as an inherent occupational hazard. A wealth of research examines the impact of workplace PTE in relation to trauma-related mental health symptoms in PSP but the literature to date is highly heterogeneous with respect to estimates of prevalence and the efficacy of prevention and intervention initiatives. Indeed, little consensus exists even regarding whether workplace PTE and potentially associated mental health symptoms negatively impact work performance. The present systematic review initiative synthesizes international data published in any language using best-evidence narrative synthesis and, where possible, quantitative meta-regression to explore prevalence of post-traumatic stress disorder (PTSD), depression and anxiety in PSP as well as work outcomes and efficacy of prevention and intervention strategies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.358
Teacher spread0.322 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes2
Has abstractyes

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