Workers’ recovery from concussions presenting to the emergency department
Bibliographic record
Abstract
BACKGROUND: The emergency department (ED) is the first point of care for many patients with concussion, and post-concussion syndrome can impact vocational outcomes like successful return to work. Evaluation of concussion in general adult populations is needed. AIMS: To document the occurrence and outcomes of work-related concussion presenting to the ED for treatment. METHODS: This study enrolled adults presenting with concussion to three urban Canadian EDs. Baseline ED interviews, physician questionnaires and patient phone interviews at 30 and 90 days documented work-related events, ED management, discharge advice, patient adherence and symptom severity. Work-related injury and return to work were modelled using logistic or linear regression, as appropriate. RESULTS: Overall, 172 enrolled workers completed at least one follow-up. Work-related concussions were uncommon (n = 28). Most employees (80%) missed at least 1 day of work (median = 7; interquartile range: 3-14). Most (91%) employees returned to work within 90 days, while 41% reported persistent symptoms. Manual labour and self-reported history of attention deficit hyperactivity disorder were associated with work-related concussion, while days of missed work increased with marital status (divorced), history of sleep disorder and physician's advice to avoid work. CONCLUSION: Work-related concussions are infrequent; however, most workers who sustain a concussion will miss work, and many return while still experiencing symptoms. Work-related concussion and days of missed work are mainly affected by non-modifiable factors. Workers, employers and the workers' compensation system should take necessary precautions to ensure that workers return to work safely and successfully following a concussion.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.001 |
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".