Costs and compensation of work-related injuries in British Columbia sawmills
Bibliographic record
Abstract
OBJECTIVE: To estimate the costs of work-related injury in a cohort of sawmill workers in British Columbia from the perspective of the workers' compensation system. METHODS: Hospital discharge records were extracted from 1989 to 1998 for a cohort of 5786 actively employed sawmill workers. A total of 173 work-related injury cases were identified from these records using the International classification of diseases-ninth revision (ICD-9) external cause of injury codes and the responsibility of payment schedule. Workers' compensation records were extracted and matched with hospital records by dates and ICD-9 diagnosis codes. All costs were converted into 1995 constant Canadian dollars using the Provincial General Consumer Price Index for the non-healthcare costs and Medical Consumer Price Index for the healthcare costs. A 5% discounting rate was applied to adjust for the time value of money. For the uncompensated cases, costs were imputed from the compensated cases using the median cost for a similar nature of injury. RESULTS: 370 hospitalisation events due to injury were captured, and by either of the two indicators (E Codes or payment schedules), 173 (47%) hospitalisation events due to injury, were identified as work related. The median healthcare cost was 4377 dollars and the median non-healthcare cost was 16,559 dollars for a work-related injury. The median non-healthcare and healthcare costs by injury were falls, 19,978 dollars and 5185 dollars; struck by falling object, 32,398 dollars and 8625 dollars; struck against, 12,667 dollars and 5741 dollars; machinery related, 26,480 dollars and 6643 dollars; caught in or between, 24,130 dollars and 4389 dollars; and overexertion, 7801 dollars and 2710 dollars. The total cost was 10,374,115 dollars for non-healthcare and 1,764,137 dollars for healthcare. The compensation agency did not compensate 874,871 dollars (8.4%) of the non-healthcare costs and 200,588 dollars (11.4%) of the healthcare costs. CONCLUSION: Eliminating avoidable work-related injury events can save valuable resources.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".