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. 2025 Nov;135(5):1499-1510.
doi: 10.1016/j.bja.2025.04.033. Epub 2025 May 29.

Incidence of cognitive errors in difficult airway management: an inference human factors study from the Pediatric Difficult Intubation Registry

Collaborators, Affiliations

Incidence of cognitive errors in difficult airway management: an inference human factors study from the Pediatric Difficult Intubation Registry

Martina Bordini et al. Br J Anaesth. 2025 Nov.

Abstract

Background: Cognitive errors are known contributors to poor decision-making in healthcare. However, their incidence and extent of their contribution to negative outcomes during difficult airway management are unknown. We aimed to identify cognitive errors during paediatric difficult airway management using data from the Pediatric Difficult Intubation (PeDI) registry, to determine patient and clinician factors associated with these errors, and their contribution to complications.

Methods: We conducted a retrospective analysis of the PeDI registry data including cases with at least three intubation attempts. Cognitive error definitions were adapted to airway management, and predefined clinical endpoints were used to identify cognitive errors. A subanalysis was performed for children weighing <5 kg. Our primary outcome was the overall incidence of cognitive errors. Secondary outcomes included the incidence of specific cognitive error subtypes, associations with patient and clinician factors, and the relationship between cognitive errors and complications.

Results: Cognitive errors were identified in 17.4% (487/2801) of cases, with fixation errors being the most common (11.5%), followed by omission bias (5.9%) and overconfidence bias (4.5%). Non-anaesthesiologist clinicians had the highest odds of cognitive errors. The presence of at least one cognitive error was independently associated with a higher risk of complications (adjusted odds ratio, 1.86 [95% confidence interval, 1.53-2.27]; P<0.001), and multiple errors increased the likelihood of severe complications (adjusted odds ratio, 2.48 [95% confidence interval, 1.24-4.94]; P=0.01).

Conclusions: Cognitive errors occurred in nearly 20% of paediatric difficult airway encounters and were linked to increased complications. Further research should refine error definitions and develop mitigation strategies to improve outcomes.

Keywords: airway management; bias; cognitive error; difficult airway; human factors; human performance; medical error; paediatric difficult airway.

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Conflict of interest statement

Declarations of interest PGD is a member and Chair of the Quality and Safety Committee at Society for Pediatric Anesthesia (no payment involved). PK is in the Anesthesia Patient Safety Foundation (APSF) commissioned and international Patient Safety Priority (PSP) Advisory Group on Airway Management (no payment involved). AH: Verathon Inc. and the American College of Osteopathic Anesthesiologists (consulting fees) and has an uncompensated leadership role in the Society for Pediatric Anesthesiologist Difficult Intubation SIG. ACL received a one-time honorarium for a chapter in Current Reviews in Clinical Anesthesia. BSvUS: NHMRC, Australia, Stan Perron Charitable Foundation, Perth, Australia (payments to institutions for independent research funds). JP received compensation for writing a chapter in Wolters Kluwer Health publisher of Barash, Cullen, and Stoelting's Clinical Anesthesia. The other authors declare that they have no conflicts of interest.

Figures

Fig 1
Fig 1
Methods for inferring cognitive errors during clinical care. (a) Study design showing how cognitive errors may be inferred retrospectively by linking observed and recorded clinical endpoints (e.g. number of airway device attempts; device used) to preceding actions. (b) Multiple methods can enhance inference of cognitive errors in airway management, including clinical data, external observation, video-audio recordings, and post-event interviews. Dashed red arrows indicate inference rather than direct measurement. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig 2
Fig 2
Study flowchart. PeDI, Pediatric Difficult Intubation.
Fig 3
Fig 3
Cognitive errors in study population. Proportion of cases with at least one cognitive error by number of intubation attempts (a), by year (b), and by first-attempt provider (c). Stacked bars represent the total number of cases at each category level, segmented by the presence or absence of cognitive errors. Line plots indicate the proportion of cases with at least one cognitive error, mapped to the secondary y-axis. The proportion of cognitive errors increased with a greater number of intubation attempts. Variation was observed across years and provider types, with the highest proportion among cases initiated by ‘Other specialists’ and the lowest among anaesthesia assistants. CRNA, certified registered nurse anaesthetist; ENT, otolaryngology (ear, nose, and throat).
Fig 4
Fig 4
Multivariable mixed-effects logistic regression analysis of adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for cognitive errors, complications, and severe complications. Data are presented for both all patients and children <5 kg. Each plot represents the adjusted ORs for the presence of at least one cognitive error (a and b), any complications (c and d), and severe complications (e and f). The x-axis is displayed on a logarithmic scale, with the OR of 1.00 (representing no effect) marked in the centre, and CIs indicated by the black horizontal lines. The x-axis range is set from 0.1 to 50 to capture the full range of adjusted odds ratios. CRNA, certified registered nurse anaesthetist; ENT, otolaryngology (ear, nose, and throat); PeDI, Pediatric Difficult Intubation.

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