Impact of Timing of Mental Health Interventions for Mild Traumatic Brain Injury Patients
Bibliographic record
Abstract
OBJECTIVE: To examine the impact of timing of mental health interventions in workers' compensation claims for mild traumatic brain injury (MTBI). METHODS: A 10-year matched retrospective cohort study of MTBI claims. Cases who started treatment within 3 months of the date of injury were hard matched to cases who started treatment more than 3 months after the date of injury. Outcomes were incremental cost difference and loss of earnings benefit duration 1 year after first intervention. RESULTS: Seventeen percent (17%) of patients received mental health interventions. The early mental health intervention group had lower mean costs (incremental difference$1580 [95% CI: $5718 to $2085]) and shorter durations of disability (off loss of earnings) (59.2% versus 46.6%, NS). Sensitivity and stratified analyses demonstrated the same trend. CONCLUSIONS: Early mental health interventions for MTBI patients may lead to reduced health care costs and shorter durations of disability.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".