Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance.

ABSTRACT:

Objective

Markers of illness severity are increasingly captured in emergency department (ED) electronic systems, but their value for surveillance is not known. We assessed the value of age, triage score, and disposition data from ED electronic records for predicting influenza-related hospitalizations.

Materials and methods

From June 2006 to January 2011, weekly counts of pneumonia and influenza (P&I) hospitalizations from five Montreal hospitals were modeled using negative binomial regression. Over lead times of 0-5 weeks, we assessed the predictive ability of weekly counts of 1) total ED visits, 2) ED visits with influenza-like illness (ILI), and 3) ED visits with ILI stratified by age, triage score, or disposition. Models were adjusted for secular trends, seasonality, and

SUBMITTER: Savard N 

PROVIDER: S-EPMC7784300 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature