Effect of an audience on trainee stress and performance during simulated neonatal intubation: a randomized crossover trial
Bibliographic record
Abstract
BACKGROUND: Neonatal intubation is a stressful procedure taught to trainees. This procedure can attract additional observers. The impact of observers on neonatal intubation performance by trainees has not been studied. Our objective was to evaluate if additional observers present during neonatal mannequin endotracheal intubation (NMEI) by junior trainees, affects their performance and their stress levels. METHODS: A randomized cross over trial was conducted. First year residents with no experience in neonatal intubation were assigned to NMEI condition A or B randomly on day 1. Subjects were crossed over to the other condition on day 2. Condition A: Only one audience member was present Condition B: Presence of an audience of 5 health care providers. Differences in the time to successful NMEI was recorded and compared between conditions. A portable heart rate monitor was used to measure peak heart rate above baseline during NMEI under both conditions. RESULTS: Forty nine residents were recruited. 72% were female with a median age of 25 years (IQR: 24-27). Time to successful intubation was comparable under both conditions with a mean difference of - 3.94 s (95% CI: -8.2,0.4). Peak heart rate was significantly lower under condition A (mean difference - 11.9 beats/min, 95% CI -15.98 to - 7.78). CONCLUSION: Although the time required to NMEI did not increase, our results suggest that presence of observers significantly increases trainee stress. The addition of extraneous observers during simulation training may better equip residents to deal with such stressors. TRIAL REGISTRATION: Date of registration: March 2016, NCT 02726724 .
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".