Do Private Clinics or Expedited Fees Reduce Disability Duration for Injured Workers Following Knee Surgery?
Bibliographic record
Abstract
OBJECTIVE: To investigate the effect of workers' compensation policies related to expedited surgical fees and private clinic surgical setting on disability duration among injured workers. METHODS: The study included 1,380 injured workers with knee meniscectomy between 2001 and 2005 in British Columbia. Using linked workers' compensation claim and surgery/clinical records, wait time for surgery (time from last surgical consult to surgery) and time from surgery to return to work were computed and compared for workers who received care in public versus private facilities, and according to whether their surgeons received fees intended to expedite care. RESULTS: The public expedited group had the shortest disability duration from surgical consult to return to work; the expedited fee reduced the surgery wait time (~2 work weeks), and surgeries performed in public hospitals had a shorter return-to-work time (~1 work week). DISCUSSION: An overall difference of approximately three work weeks in disability duration may have meaningful clinical and quality-of-life implications for injured workers. However, minimal differences in expedited surgical wait times by private clinics versus public hospitals, and small differences in return-to-work outcomes favouring the public hospital group, suggest that a future economic evaluation of workers' compensation policies related to surgical setting is warranted.
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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 | 0.010 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".