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

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 record-based 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 Service-funded 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 94.1-96.0%. Positive predictive value ranged from 94.4-98.3%. 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.

journal_name

Am J Obstet Gynecol

authors

Penman-Aguilar A,Tucker MJ,Groom AV,Reilley BA,Klepacki S,Cullen T,Gebremariam C,Redd JT

doi

10.1016/j.ajog.2011.03.004

subject

Has Abstract

pub_date

2011-06-01 00:00:00

pages

S46-53

issue

6 Suppl 1

eissn

0002-9378

issn

1097-6868

pii

S0002-9378(11)00313-9

journal_volume

204

pub_type

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