Validation of algorithm to identify American Indian/Alaska Native pregnant women at risk from pandemic H1N1 influenza

Ana Penman-Aguilar, Myra J. Tucker, Amy V. Groom, Brigg A. Reilley, Stephanie Klepacki, Theresa Cullen, Cynthia Gebremariam, John T. Redd

Research output: Contribution to journalReview article

4 Scopus citations

Abstract

Pregnant women and American Indian and Alaska Native people are at elevated risk of severe disease and mortality from 2009 pandemic influenza A/H1N1. We validated an electronic health recordbased algorithm used by Indian Health Service to identify pregnant women in near real-time surveillance of pandemic influenza A/H1N1. We randomly selected a stratified sample of 515 patients at 3 Indian Health Servicefunded hospitals with varied characteristics. With comprehensive review of patients' electronic health records as the gold standard, we calculated the positive predictive value and sensitivity of the pregnancy algorithm. The sensitivity of the algorithm at individual hospitals ranged from 94.196.0%. Positive predictive value ranged from 94.498.3%. Despite differences among hospitals on key characteristics, the pregnancy algorithm performed nearly equivalently with high positive predictive value and sensitivity at all facilities. It may prove helpful for surveillance during future epidemics and for targeting interventions for pregnant women and infants.

Original languageEnglish (US)
Pages (from-to)S46-S53
JournalAmerican Journal of Obstetrics and Gynecology
Volume204
Issue number6 SUPPL.
DOIs
StatePublished - Jun 2011

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Keywords

  • American Indian
  • H1N1
  • disease surveillance
  • influenza
  • pregnancy
  • special populations

ASJC Scopus subject areas

  • Obstetrics and Gynecology

Cite this

Penman-Aguilar, A., Tucker, M. J., Groom, A. V., Reilley, B. A., Klepacki, S., Cullen, T., Gebremariam, C., & Redd, J. T. (2011). Validation of algorithm to identify American Indian/Alaska Native pregnant women at risk from pandemic H1N1 influenza. American Journal of Obstetrics and Gynecology, 204(6 SUPPL.), S46-S53. https://doi.org/10.1016/j.ajog.2011.03.004