The Effect of Sleep Deprivation on a Resident's Situational Awareness in a Trauma Scenario
Bibliographic record
Abstract
OBJECTIVES: Situational awareness (SA) refers to the perception of elements in one's environment, the comprehension of their meaning, and the projection of their status in the near future. The SA global assessment technique (SAGAT) is an assessment tool validated for use in a trauma simulation. The goal of this study was to determine the effect of sleep deprivation on residents' performance in a trauma simulation, evaluated by the SAGAT. METHODS: A power analysis determined that 9 residents would be needed to show a significant difference in SAGAT scores (7%). Therefore, 9 surgical residents on an intensive care unit rotation underwent 2 trauma simulations. One session was performed in the rested condition, and the other was for postcall. The SAGAT was used to evaluate the residents' performance. The rested and postcall scores were compared. RESULTS: Using a paired t test, the SAGAT scores were analyzed. The average rested score was 80.13% (range, 50%-94%), and the sleep-deprived score was 80.09% (range, 72%-91%). There was no significant difference between the residents' rested and the postcall SAGAT scores (P = 0.99). CONCLUSIONS: From this study, the resident SA in a trauma simulation does not seem to be affected by 1 night of sleep deprivation, as demonstrated by the lack of significant difference in SAGAT scores; however, more research in this area is needed. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.001 | 0.001 |
| 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".