Assessing the Impact of the Trauma Team Training Program in Tanzania
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Bibliographic record
Abstract
BACKGROUND: In sub-Saharan Africa, injury is responsible for more deaths and disability-adjusted life years than AIDS and malaria combined. The trauma team training (TTT) program is a low-cost course designed to teach a multidisciplinary team approach to trauma evaluation and resuscitation. The purpose of this study was to assess the impact of TTT on trauma knowledge and performance of Tanzanian physicians and nurses; and to demonstrate the validity of a questionnaire assessing trauma knowledge. METHODS: This is a prospective study of physicians and nurses from Dar es Salaam undergoing TTT (n = 20). Subjects received a precourse test and, after the course, an alternate postcourse test. The equivalence and construct validity of these 15-item multiple-choice questionnaires was previously demonstrated. After the course, subjects were divided into four teams and underwent a multiple injuries simulation, which was scored with a trauma resuscitation simulation assessment checklist. A satisfaction questionnaire was then administered. Test data are expressed as median score (interquartile ratio) and were analyzed with the Wilcoxon's signed rank test. RESULTS: After the TTT course, subjects improved their scores from 9 (5-12) to 13 (9-13), p = 0.0004. Team performance scores for the simulation were all >80%. Seventy-five percent of subjects were very satisfied with TTT and 90% would strongly recommend it to others and would agree to teach future courses. CONCLUSIONS: After completion of TTT, there was a significant improvement in trauma resuscitation knowledge, based on results from a validated questionnaire. Trauma team performance was excellent when assessed with a novel trauma simulation assessment tool. Participants were very supportive of the course.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it