Nontraumatic Oral Health Classification for Alternative Use of Syndromic Data

Authors

  • Sherry Burrer Centers for Disease Control and Prevention
  • Howard Burkom Centers for Disease Control and Prevention
  • Christopher Okunseri Marquette University
  • Laurie Barker Centers for Disease Control and Prevention
  • Valerie Robison Centers for Disease Control and Prevention

DOI:

https://doi.org/10.5210/ojphi.v5i1.4452

Abstract

There is increasing demand for ways to use syndromic surveillance data for population health surveillance. The authors developed a nontraumatic oral health classification that could provide timely burden estimates of oral health-related visits to North Carolina (NC) emergency departments (EDs) using BioSense syndromic data. A combination of literature review, input by subject matter experts, and analysis of syndromic data was employed to create a classification that used select chief complaint text and ICD-9-CM codes for visit inclusion and exclusion criteria. Visit estimates created using this classification could contribute to policy decisions aimed at reducing this unnecessary burden on NC EDs.

Author Biography

Sherry Burrer, Centers for Disease Control and Prevention

Sherry Burrer received her Doctor of Veterinary Medicine and Master of Public Health degrees from the Ohio State University. After practicing clinically for 10 years, she joined CDC and completed the EIS and Preventive Medicine Fellowships. Currently, she is an epidemiologist with the CDC BioSense Epidemiology and Surveillance Team.

Downloads

Published

2013-03-23

How to Cite

Burrer, S., Burkom, H., Okunseri, C., Barker, L., & Robison, V. (2013). Nontraumatic Oral Health Classification for Alternative Use of Syndromic Data. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4452

Issue

Section

Oral Presentations: Novel Uses of Syndromic Data