Health, social and economic consequences of workplace injury for BC workers and their families
Bibliographic record
Abstract
Background. This research used the British Columbia Linked Health Database (BCLHD) to examine the following three areas, following a workplace injury: (1) change in healthcare utilization for WCB claimants; (2) change in healthcare utilization for families of WCB claimants; (3) financial and personal consequences injury. Materials and Methods. For 1 and 2, healthcare use five years before and after the injury was examined, relative to the 12-months before a 1994 injury (baseline), for WCB claimants who required time off (lost time---LTs) for their injuries (and their families). Change in use was compared to that of other WCB claimants (no lost time---NLTs) and individuals in the population who were not WCB claimants (non-injured comparisons---NIs). The dependence of these measurements on registration in the BC Medical Service Plan (MSP) and several injury characteristics were examined. For area 3, multiple logistic regression analyses were used to measure three social and economic outcome (residential change, income assistance use and relationship breakup). Group (LT, NLT) and duration of time away from work for LTs (less than 12 weeks and greater than or equal to 12 weeks) were the prime variables of interest. Key Findings. (1) LTs showed increased physician, hospital, and mental healthcare use five years after the injury at a higher rate than the other two groups. These patterns persisted when adjusting for registration in the BC MSP and injury characteristics. (2) For spouses and children, the differences over time and between groups were marginal. (3) LTs were more likely to move to poorer neighbourhoods and to collect income assistance benefits than the NLTs and less likely to experience a relationship break-up. LTs off work for 12 weeks of more were more likely to receive income assistance than those off for less than 12 weeks. Conclusion. For WCB claimants, the consequences of workplace injury extend beyond what is funded by the WCB into the publicly funded healthcare and social systems.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".