Graded exposure therapy for adults with persistent symptoms after mTBI: A historical comparison study
Bibliographic record
Abstract
Fear avoidance behaviour is associated with slow recovery from mild traumatic brain injury (mTBI). This study is a preliminary evaluation of graded exposure therapy (GET), which directly targets fear avoidance behaviour, for reducing post-concussion symptoms (PCS) and disability following mTBI. In a historical comparison design, we compared two groups from independent randomized trials. The GET + UC group (N = 34) received GET (delivered over 16 videoconference sessions) in addition to usual care (UC). The historical comparison group (N = 71) received UC only. PCS severity (Rivermead Post Concussion Symptoms Questionnaire; RPQ) and disability (World Health Organization Disability Assessment Schedule; WHODAS 2.0 12-item) were measured at clinic intake (M = 2.7, SD = 1.1 months after injury) and again at M = 4.9 (SD = 1.1) months after injury. Between-group differences were estimated using linear mixed effects regression, with a sensitivity analysis controlling for injury-to-assessment intervals. The estimated average change on the RPQ was -14.3 in the GET + UC group and -5.3 in the UC group. The estimated average change on the WHODAS was -5.3 in the GET + UC group and -3.2 in the UC group. Between-group differences post-treatment were -5.3 on the RPQ and -1.5 on the WHODAS. Treatment effects were larger in sensitivity analyses. Findings suggest that a randomized controlled trial is warranted.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".