Posttraumatic Headache and Its Impact on Return to Work After Mild Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVE: To examine the value of posttraumatic headaches in predicting return to work (RTW) in patients with mild traumatic brain injury (MTBI). SETTING AND PARTICIPANTS: A total of 109 participants recruited from an outpatient head injury rehabilitation center, British Columbia, Canada. DESIGN: Logistic regression analyses of secondary data. MAIN MEASURE: The Numerical Pain Rating Scale (NPRS), measure of headache intensity. Nine resulting NPRS scores were used to predict successful versus unsuccessful RTW. RESULTS: The largest effect size [odds ratio Exp(B)] value of 0.474] indicated that the odds of returning to work successfully are more than cut in half for each unit increase in NPRS rating. CONCLUSION: To the author's knowledge, this is the first study of the impact of headache intensity on RTW for patients with MTBI. Posttraumatic headache severity after MTBI should be taken into account when developing models to predict RTW for this population. Headache intensity may act as a confounding variable for at least some injury characteristics (eg, cognitive functioning) and may add to the inconsistencies in the TBI and MTBI literature. Results may be utilized to guide rehabilitation efforts in planning RTW for patients with MTBI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".