Evaluation of Chlamydia Case Report Data: Completeness of Key Variables - United States, 2012

Authors

  • Elizabeth Torrone Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
  • Hillard Weinstock Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
  • Julie Garon Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
  • Robert Nelson Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5096

Abstract

Chlamydia, a sexually transmitted infection, is the most commonly reported nationally notifable disease in the United States We assessed the completeness of key variables included in chlamydia case report data submitted to the Centers for Disease Control and Prevention (CDC) during 2012. Most of the reviewed demographic and geographic variables provided to CDC on 2012 chlamydia case reports had complete values. Diagnosis-related variables provided on case reports were less complete, in particular anatomic specimen site. Further investigation is needed to identify barriers to submitting complete data. Additional evaluation of validity (e.g., accuracy) of data provided is needed to fully evaluate chlamydia case report data.

Author Biography

Elizabeth Torrone, Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States

Dr. Elizabeth Torrone is currently the chlamydia surveillance epidemiologist in the Division of STD Prevention at the Centers for Disease Control and Prevention where she provides technical assistance to state and local project areas on surveillance issues and at a national-level, monitors trends in chlamydia, using data from notifiable disease reports, sentinel surveillance, and national surveys.

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Published

2014-03-09

How to Cite

Torrone, E., Weinstock, H., Garon, J., & Nelson, R. (2014). Evaluation of Chlamydia Case Report Data: Completeness of Key Variables - United States, 2012. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5096

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Section

Lightning Talks