Technology-Based Approaches to Improve Mental Health Outcomes for Patients with Traumatic Brain Injury
Bibliographic record
Abstract
The sample sizes ranged from 48-786 patients with an average age of the participants from 30-50 years. Seven of the trials demonstrated efficacy of the intervention with effect sizes ranging from 0.42 to 0.65 as compared to placebo or wait list controls Only four of the depression-related websites reviewed were available in the English language: ODIN, MoodGYM, and Bluepages are publicly accessible on the web without charge to consumers and the fourth program, Sadness, is available under restricted license at a small cost. All of the programs employ at least some component of cognitive behavioural therapy (CBT). While some of these evaluations of technology-based treatment programs have demonstrated positive results on mental health outcomes, the extent of work in this area is limited when the focus is set on the TBI population. As summarized in the following section, very few technology-based resources have been developed and evaluated specifically for the TBI patient.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".