Prevalence of Computed Tomography Overuse for Mild Head Injury in Adults
Bibliographic record
Abstract
INTRODUCTION: The Canadian CT Head Rule (CCHR) is one of many established guidelines for assessing the need for computed tomography (CT) imaging in patients with minor head injuries. Adhering to such criteria would promote the appropriate use of CT imaging, lower healthcare expenses, and prevent harmful radiation exposure. There is no current literature assessing the overuse of CT imaging for minor head injuries in the Kingdom of Bahrain. This study aims to evaluate CT overuse in adult patients with minor head trauma. Methods: The study was conducted at the Bahrain Defense Force Hospital over 12 months from January to December 2021. All adult patients (>14 years) who sustained a minor head injury and were referred to the emergency department for CT brain imaging were included in the study. Patients presenting for other reasons or suffering from moderate to severe head injuries were excluded. CT reports were retrieved for analysis. The CCHR was used as a reference. Results: A total of 486 CT scans were performed. Loss of consciousness was the most common symptom on presentation (n = 74 cases). Only 12.1% of CT scans reported positive findings. The prevalence of CT overuse was highest in patients aged 21-30 years. Patients presenting with loss of consciousness showed a high overuse of CT imaging, accounting for 20.3% of all cases. Only 77.4% of cases met the CCHR criteria and 22.6% were defined as overuse, with 95% confidence interval (0.189, 0.266). Conclusion: When referring to the CCHR, CT imaging for a minor head injury in adults was overused in 22.6% of cases. Further research will be required to reveal the underlying reasons for these findings along with interventions to reduce future overuse.
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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".