A debriefing tool to acquire non-technical skills in trauma courses
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
Objective: The study reports the use of a nominal group technique (NGT) to evaluate the PEARLS Healthcare debriefing tool as a tool to foster non-technical skills in trauma simulation courses. Additionally, it introduces a debriefing card to be used in trauma courses. Design: A nominal group technique was used to evaluate the main strategies for PEARLS. The experts had the opportunity to share their opinions in an online survey and online meeting. Results: Seven participants participated in the nominal group. Based on the online survey results, the self-assessment debriefing strategy (from PEARLS) was rated 4.83/5 in relevance, the focused facilitation 5/5, and the provision of information 4.5/5. Participants felt that PEARLS was appropriate and useful for fostering non-technical skills: all the debriefing strategies contained in PEARLS were felt to be valid and worth using; and cue cards for the instructors were suggested to assist them in conducting structured formal debriefings. A specific debriefing tool for trauma scenarios was designed based on these suggestions, which is presented in this article. Conclusion: A nominal group of experts in education, simulation, and trauma support PEARLS strategies for non-technical skills training in trauma courses.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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