Trauma resuscitation: can team behaviours in the prearrival period predict resuscitation performance?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Optimising team performance is critical in paediatric trauma resuscitation. Previous studies in aviation and surgery link performance to behaviours in the prearrival period. Objective: To determine if patterns of human behaviour in the prearrival period of a simulated trauma resuscitation is predictive of resuscitation performance. Design: Twelve volunteer trauma teams performed in four simulation scenarios in a paediatric hospital. The scenarios were video recorded, transcribed and analysed in 10-second intervals. Variation in the amount of utterances per team member in the prearrival period was compared with team performance and implicit coordination during the resuscitation. Key results: Coders analysed 18 962 s of video. They coded 5204 team member utterances into one of eight communication behaviour categories. Inter-rater reliability was excellent (an average of 83.1% across all four scenarios). The average number of communications occurring during the prearrival period was 18.84 utterances, with a range of 2-42 and a SD of 9.55. The average length of this period was almost 2 minutes (mean =117.30 s, SD=39.20). Lower variance in team member communication during the prearrival better was associated with better implicit coordination (p=0.011) but not team performance (p=0.054) during the resuscitation. Conclusion: Patterns of communication in the prearrival trauma resuscitation period predicted implicit coordination and a trend towards significance for team performance which suggests further studies in such patterns are warranted.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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