Trauma experiences of rural practitioners: A self assessment
Bibliographic record
Abstract
INTRODUCTION: The purpose of this study was to identify, through self-assessment, how comfortable rural emergency medicine (EM) physicians are in treating critically ill trauma patients, the resources available to treat such patients and their comfort with performing trauma procedures. METHODS: An anonymous self-assessment survey was e-mailed to family physicians practising rural EM in Saskatchewan regarding training, hospital resources, demographics and self-reported comfort with rural trauma management. We included physicians who had provided EM care within the past year in Saskatchewan outside of the major trauma centres. Comfort was measured on a Likert scale. RESULTS: One hundred thirteen physicians out of a total of 479 physicians contacted agreed to participate (23.6%). Thirty-nine percent (n = 31) of respondents were comfortable with paediatric trauma, and 46% (n = 37) were comfortable with vascular trauma. Nineteen percent (n = 15) were comfortable with pericardiocentesis and 25% (n = 19) were comfortable with cricothyroidotomy. In the past 12 months, 21% (n = 17) had performed paediatric endotracheal intubation, 1.3% (n = 1) had performed cricothyroidotomy, 28.8% (n = 23) had performed needle thoracentesis and 20% (n = 16) had performed central venous line access. Those who did their residency training outside of Canada were more comfortable with overall trauma care. Those who had taken emergency department echo were generally more comfortable with trauma procedures. Those who had current advanced trauma life support were more comfortable with less frequently encountered aspects of trauma care. CONCLUSIONS: This self-assessment helped us identify which aspects of rural trauma medicine are the most challenging for rural practitioners. It gave us an understanding of the procedures related to trauma medicine that are the most difficult, which critical resources are available and where training could be focused to benefit rural emergency physicians.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".