Multicenter evaluation of a method to identify delayed diagnosis of diabetic ketoacidosis and sepsis in administrative data.

ABSTRACT:

Objectives

To derive a method of automated identification of delayed diagnosis of two serious pediatric conditions seen in the emergency department (ED): new-onset diabetic ketoacidosis (DKA) and sepsis.

Methods

Patients under 21 years old from five pediatric EDs were included if they had two encounters within 7 days, the second resulting in a diagnosis of DKA or sepsis. The main outcome was delayed diagnosis based on detailed health record review using a validated rubric. Using logistic regression, we derived a decision rule evaluating the likelihood of delayed diagnosis using only characteristics available in administrative data. Test characteristics at a maximal accuracy threshold were determined.

Results

Delayed diagnosis was present in 41/46 (89 %) of DKA patient

SUBMITTER: Michelson KA 

PROVIDER: S-EPMC10679849 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature