The Association of Teamwork and Adverse Tracheal Intubation–Associated Events in Advanced Airway Management in the PICU
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Bibliographic record
Abstract
Abstract Tracheal intubation (TI) in critically ill children is a life-saving but high-risk procedure that involves multiple team members with diverse clinical skills. We aim to examine the association between the provider-reported teamwork rating and the occurrence of adverse TI-associated events (TIAEs). A retrospective analysis of prospectively collected data from 45 pediatric intensive care units in the National Emergency Airway Registry for Children (NEAR4KIDS) database from January 2013 to March 2018 was performed. A composite teamwork score was generated using the average of each of five (7-point Likert scale) domains in the teamwork assessment tool. Poor teamwork was defined as an average score of 4 or lower. Team provider stress data were also recorded with each intubation. A total of 12,536 TIs were reported from 2013 to 2018. Approximately 4.1% (n = 520) rated a poor teamwork score. TIs indicated for shock were more commonly associated with a poor teamwork score, while those indicated for procedures and those utilizing neuromuscular blockade were less commonly associated with a poor teamwork score. TIs with poor teamwork were associated with a higher occurrence of adverse TIAE (24.4% vs 14.4%, p < 0.001), severe TIAE (13.7% vs 5.9%, p < 0.001), and peri-intubation hypoxemia < 80% (26.4% vs 17.9%, p < 0.001). After adjusting for indication, provider type, and neuromuscular blockade use, poor teamwork was associated with higher odds of adverse TIAEs (odds ratio [OR], 1.77; 95% confidence interval [CI], 1.35–2.34), severe TIAEs (OR, 2.23; 95% CI, 1.47–3.37), and hypoxemia (OR, 1.63; 95% CI, 1.25–2.03). TIs with poor teamwork were independently associated with a higher occurrence of TIAEs, severe TIAEs, and hypoxemia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it