Continuum of care model for managing mild traumatic brain injury in a workers’ compensation context: A description of the model and its development
Bibliographic record
Abstract
Mild traumatic brain injuries are a significant health problem that can result in distress and disability for people who go on to develop post-concussion syndrome or symptoms. In order to improve healthcare outcomes following a mild traumatic brain injury, the Workers' Compensation Board of Alberta developed a continuum of care model to assist its staff (e.g. claim adjudication and case management) to manage these claims. A continuum of care model acts as a road map that illustrates typical recovery patterns and treatment best practices, and builds in checkpoints where decisions for assessment and treatment can be made. The model was developed from a review of the research literature selected to determine the best evidence-based practices for treating mild traumatic brain injury, and the most appropriate timing for assessments and treatments. Local and international experts in the field of brain injury assessment and rehabilitation also contributed to the development of the final model.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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".