Predicting neonatal intubation competency in trainees

Pediatrics. 2015 May;135(5):e1229-36. doi: 10.1542/peds.2014-3700. Epub 2015 Apr 6.

Abstract

Background and objectives: Pediatric residency training programs are graduating residents who are not competent in neonatal intubation, a vital skill needed for any pediatrician involved in delivery room resuscitations. However, a precise definition of competency during training is lacking. The objective of this study was to more precisely define the trajectory toward competency in neonatal intubation for pediatric residents, as a framework for later evaluating complementary training tools.

Methods: This is a retrospective single-center observational study of resident-performed neonatal intubations at Duke University Medical Center between 2005 and 2013. Using a Bayesian statistical model, intubation competency was defined when the resident attained a 75% likelihood of intubating their next patient successfully.

Results: A total of 477 unique intubation attempts by 105 residents were analyzed. The path to proficiency was defined by a categorical or milestone learning event after which all learners move toward competency in a similar manner. In our cohort, 4 cumulative successes were needed to achieve competency. Only 24 of 105 (23%) achieved competency during the study period. Residents who failed their first 2 opportunities, compared with those successful on their first 2 opportunities, needed nearly double the intubation exposure to achieve competency.

Conclusions: Bayesian statistics may be useful to more precisely describe neonatal intubation competency in residents. Achieving competency in neonatal intubation appears to be a categorical or milestone learning event whose timing varies between residents. The current educational environment does not provide adequate procedural exposure to achieve competency for most residents.

Keywords: competency; intubation; neonatal ICU; procedure training; residents.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Clinical Competence / statistics & numerical data*
  • Forecasting
  • Humans
  • Infant, Newborn
  • Internship and Residency*
  • Intubation / standards*
  • Pediatrics / education*
  • Retrospective Studies