Identifying Pregnancy Status through STD/HIV Electronic Laboratory Reporting

Authors

  • Elliott Brannon STD/HIV Program, Louisiana Office of Public Health, New Orleans, LA, United States; Tulane Univ., New Orleans, LA, United States
  • Abe Handler STD/HIV Program, Louisiana Office of Public Health, New Orleans, LA, United States; Univ. of New Orleans, New Orleans, LA, United States
  • Joseph Foxhood STD/HIV Program, Louisiana Office of Public Health, New Orleans, LA, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5112

Abstract

Using STD/HIV surveillance data the STD/HIV Program at the Louisiana Office of Public Health created a system to identify pregnancy status from STD/HIV lab reports in real-time. The system, which is currently under development, was tested on historical data from 2011 and 2012 and successfully identified pregnancy status from STD/HIV lab reports. Although the pregnancy identification system does not currently include criteria that yields both a high positive predictive value and a high sensitivity, additional criteria will be incorporated to improve these outcomes. Once identified, high risk HIV-infected pregnant women can be targeted for follow-up.

Author Biography

Elliott Brannon, STD/HIV Program, Louisiana Office of Public Health, New Orleans, LA, United States; Tulane Univ., New Orleans, LA, United States

Elliott Brannon works as the Perinatal STD/HIV Surveillance Supervisor, monitoring both perinatal HIV and congenital syphilis throughout Louisiana. He is pursuing a Masters of Public Health at Tulane University School of Public Health and Tropical Medicine with a focus in Epidemiology. While monitoring all perinatal HIV exposure and congenital syphilis cases in Louisiana, he also works to improve state-wide surveillance systems to more efficiently and accurately follow infants exposed to these diseases.

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Published

2014-03-09

How to Cite

Brannon, E., Handler, A., & Foxhood, J. (2014). Identifying Pregnancy Status through STD/HIV Electronic Laboratory Reporting. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5112

Issue

Section

Oral Presentations