The Course of Work Absenteeism Involving Neck Pain
Bibliographic record
Abstract
STUDY DESIGN: Cohort study. OBJECTIVE: To describe the course of lost-time claims involving neck pain in workers compensated by the Ontario Workplace Safety and Insurance Board (WSIB). SUMMARY OF BACKGROUND DATA: The prevalence of neck pain in workers varies from 27.1% to 47.8%. Very little is known about the course of work absenteeism related to neck pain. METHODS: Our cohort included 5761 injured workers with an incident lost-time claim to the WSIB in 1997 and 1998. Claimants were followed for 2 years. We measured the cumulative time on lost-time benefits using the Kaplan-Meier method and described the number and duration of episodes on benefits. RESULTS: The median cumulative time-on-benefits for the cohort was 13 days (95% CI: 13-14). The cumulative time on benefits was shorter for men than women and for younger than older workers. 14.2% of claimants experienced multiple episodes of work absenteeism during the 2 years after the initial claim. The median time on benefits for claimants with a single episode was 11 days (95% CI: 10-11). The median length of the first episode on benefits was longer for claimants with multiple episodes (19-22 days) compared with those with a single episode (11 days). Age was positively associated with longer time-on-benefits in claimants with a single episode of work absenteeism. CONCLUSION: Most injured workers who make a workers' compensation claim that involves neck pain do not make a second claim in the subsequent 2 years. However, an important minority (14.2%) experience multiple episodes of work absenteeism and these workers accrue 40.4% of all lost-time days. Recurrent claims involving neck pain represent a significant burden of disability in Ontario.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".