The Impact of Early Workplace-Based Return-to-Work Strategies on Work Absence Duration: A 6-Month Longitudinal Study Following an Occupational Musculoskeletal Injury
Bibliographic record
Abstract
OBJECTIVES: To examine, using administrative and self-reported data, the relationship between early return-to-work (RTW) strategies and work absence duration. METHODS: Using a cohort of 632 claimants with work-related musculoskeletal injuries, Cox proportional hazard analyses were performed with RTW strategies measured 1 month after injury as predictors. Outcomes were 6-month self-reported work absence duration and time receiving wage replacement benefits from an administrative database. RESULTS: Work accommodation offer and acceptance and advice from health care provider (HCP) to the workplace on re-injury prevention were significant predictors of shorter work absence duration indexed by both self-report and administrative data. Receiving an ergonomic visit was a significant predictor of shorter duration receiving benefits only. CONCLUSIONS: Analyses using administrative and self-reported indices of work absence generally converged. Work accommodation and targeted HCP communication with the workplace are critical for effective early RTW interventions.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".