Neonatal intubation competency can be modeled using a Bayesian statistical model, according to a study published online April 6 in Pediatrics.

Researchers conducted a retrospective observational study of resident-performed neonatal intubations between 2005 and 2013. Intubation competency was defined as the resident attaining a 75% likelihood of intubating their next patient successfully using a Bayesian statistical model. In all, 477 unique intubation attempts by 105 residents were analyzed.

The researchers found that the path to proficiency was defined by a categorical or milestone learning event, following which, all residents moved in a similar manner toward competency.