Emergency Physician Training on Mild Traumatic Brain Injury: A Systematic Review
Bibliographic record
Abstract
OBJECTIVES: Mild traumatic brain injury (mTBI) is the most common emergency department (ED) brain injury presentation worldwide. Despite its frequency, practice variation and care gaps exist among emergency physicians (EPs) in diagnosing and appropriately managing mTBI in the ED. The objective of this review was to identify mTBI-specific training undertaken to improve the detection and management of mTBIs by EPs and its impact on practice. METHODS: A comprehensive search strategy utilized four bibliographic databases, the gray literature and the keywords concussion, mild traumatic brain injury, medical education, and continuing medical education (CME). To be included, studies were required to report on mTBI training received by practicing EPs at any point during their medical education or career. Studies examining clinical practice guidelines or use of diagnostic tools without active implementation or formal training were not included. Two reviewers screened unique citations for relevance and reviewed the full texts of relevant articles. Two independent researchers extracted data and assessed methodologic quality. At all stages, a third independent reviewer adjudicated discrepancies. RESULTS: Overall, five studies were included from 409 unique results. None of the included studies were of high quality. Identified training on mTBI consisted of three training toolkits, conference presentations and academic journal articles, and pediatric fellowship training. Training primarily occurred as CME and focused on awareness of and management of mTBI; three studies reported physician practice changes, including increases in the use of evidence-based return-to-school and return-to-activity recommendations. CONCLUSIONS: The few studies identified addressing mTBI training targeting EPs demonstrate the limited attention given to this issue. The current evidence-to-practice gap in mTBI management places patients at risk for suboptimal care in the ED, and existing mTBI knowledge translation, including education, requires optimization to effectively address the current gap in evidence-based practice for mTBI diagnosis and management in the ED.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".