Major Traumatic Brain Injury: Time to Tertiary Care and the Impact of a Clinical Guideline
Bibliographic record
Abstract
BACKGROUND: To achieve timely access to neurosurgical care for adult brain-injured patients, a Head Injury Guideline was implemented to standardize the emergency department evaluation and management of these patients. The goals of this study were to document times to neurosurgical care for patients with major traumatic brain injury presenting to a Provincial emergency room and to evaluate the impact of the Guideline on timely access to definitive care. METHODS: Data collected prospectively and stored in the Nova Scotia Trauma Registry and the Emergency Health Services Communications and Dispatch Centre database were analyzed for patients with head abbreviated injury scale score (AIS)≥3. Several time intervals from admission to a referring hospital to access to tertiary care were determined and compared for the periods before Guideline implementation, the implementation phase, and after implementation. RESULTS: The time elapsed before calling the provincial Trauma Hotline was not statistically different after Guideline implementation for polytrauma patients with head AIS score≥3 (n=388) during the preimplementation (2:34±1:30; median time in hours:minutes±standard deviation), implementation (1:57±2:33) and postimplementation (2:31±4:06) periods. Subset group analysis of patients with isolated head injuries AIS score≥3 (n=99) also showed no statistical difference in preimplementation (1:51±1:42), implementation (2:49±2:57), and postimplementation (3:10±4:58) times. Examination of overall time to tertiary care revealed prolonged transfer times and that the Guideline had no influence on either the polytrauma patient group (preimplementation, 4:20±1:41; implementation, 5:01±2:55; and postimplementation 4:46±4:22) or those with isolated head injuries (preimplementation, 3:39±1:47; implementation, 6:06±4:00; and postimplementation, 5:13±4:59). CONCLUSIONS: Times to tertiary care are lengthy and have not been reduced by Guideline implementation. System changes beyond Guideline implementation are required to provide timely access to tertiary care for patients with major head injury.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".