Evidence-based treatment of mild TBI: A service audit and checklist to improve concordance with guidelines
Bibliographic record
Abstract
Purpose: Widespread acceptance of treatment options for mild traumatic brain injury (mTBI) has so farbeen limited in the UK. Guidelines have been created to standardise treatment, based on expert consensus (Ontario Neurotrauma Foundation; ONF). However, research indicates that clinician guidelines are not always used consistently. This paper audits the use of ONFguidelines in one mTBI clinic and explores recommendations to improve concordance. Methods: Criterion-based audit was used to assess guideline usage for patients seen within the clinic between January and August 2016. Results and conclusion: Results indicated that the clinic provided thorough assessment and reliable information, although intervention guidelines were not used consistently. Inter-rater reliability suggests patient notes were difficult to interpret. Outcome: A checklist was developed to guide clinics in recording assessment and intervention in line with ONF guidelines. A pilot is required to assess usability.
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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 | 0.000 |
| 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".