Emergency Access to Neurosurgical Care for Patients with Traumatic Brain Injury
Bibliographic record
Abstract
BACKGROUND: Traumatic brain injury (TBI) is one of the most common causes of injury-related morbidity and mortality. Access to neurosurgical services is critical to optimal outcomes through reduction of secondary injury. We sought to evaluate variations in access to neurosurgical care across a regional trauma system. STUDY DESIGN: This is a population-based retrospective cohort study of patients who sustained isolated severe TBI from 2005 to 2009. Administrative datasets capturing all emergency department visits and hospitalizations were linked deterministically. Differences between access to a trauma center (TC), defined as direct transport from scene or transfer from a nontrauma center (NTC) as opposed to no access, were evaluated; this included patient level determinants of access to TC and delineation of mortality differences between TC and NTC care. Transfer patterns from NTC to TC were also evaluated. RESULTS: We identified 9,448 patients with isolated severe TBI. Almost two-thirds (60%, n = 5,701) received initial care at an NTC. Of these patients, 30% (n = 1,737) were subsequently transferred to a TC. Thirty-day mortality rates of patients treated at a TC vs NTC were 19% vs 18%, respectively (p = 0.19). Among patients younger than 65 years, 67% received TC care; only 41% of patients older than 65 were treated at a TC (p < 0.01). Mechanism, age, brain hemorrhage, and injury severity were associated with TC care. CONCLUSIONS: Considerable variation in delivery of initial care to TBI patients was identified. Factors such as age and injury characteristics were associated with TC access. Because early TC care in TBI confers survival benefits, the demonstrated variability necessitates improvements in access to care for patients with severe head injuries.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".