Mental health in public safety personnel with workplace injuries requiring surgery: a longitudinal population-wide administrative data study in Manitoba, Canada
Bibliographic record
Abstract
OBJECTIVES: Public safety personnel (PSP) are responsible for ensuring the safety and security of communities, often putting their own lives and well-being at risk by performing dangerous and demanding work. As a result, these workers are particularly vulnerable to workplace-related physical and mental traumatic injuries. Research is needed to understand the mental health of PSP following traumatic physical injury to inform effective prevention programmes and interventions. The objective of this study was to investigate whether PSP with traumatic physical workplace injuries requiring surgery with anaesthetic have higher post-injury rates of mental disorders compared with the general population with similar non-workplace injuries. DESIGN: Retrospective longitudinal cohort study. SETTING: Population-based study using linked anonymised administrative data for PSP and the general population in Manitoba, Canada. PARTICIPANTS: This study compared two groups hospitalised for a traumatic physical injury requiring surgery with anaesthetic between 1 January 2002 and 31 December 2018: (1) PSP (n=293) injured in the workplace and matched 1:5 on sex, age, geographical region and surgical procedure code with (2) individuals in the general population (GenPop) injured outside the workplace (no Workers Compensation Board claim) (n=1198). PRIMARY AND SECONDARY OUTCOMES AND MEASURES: As planned in the study protocol, the prevalence of mental disorders including anxiety, depression and substance use was measured in the cohorts 2 years pre- and post-injury. RESULTS: This study found an elevated unadjusted risk of depression in PSP compared with the general population in the 2 years post-injury, adjusting for pre-injury mental health (rate ratio, 1.49; 95% CI, 1.02 to 2.17; p<0.0001). After adjusting, there were no significant differences in rates between the two cohorts; however, the significant group × care interaction term for depression suggests a greater risk for PSP compared with GenPop over time. CONCLUSIONS: Our findings indicate that, compared with a matched cohort, PSP have an increased risk of depression from the pre-injury to post-injury period following a traumatic physical workplace injury. PSP have a unique mental health trajectory following workplace injury that should be considered when developing rehabilitation strategies for this important population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".