Validation of algorithm to identify American Indian/Alaska Native pregnant women at risk from pandemic H1N1 influenza - 19/08/11
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Résumé |
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.
Le texte complet de cet article est disponible en PDF.Key words : American Indian, disease surveillance, H1N1, influenza, pregnancy, special populations
Plan
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the Indian Health Service. |
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Conflict of Interest: none. |
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Publication of this article was supported by the Centers for Disease Control and Prevention and the Association of Maternal and Child Health Programs. |
Vol 204 - N° 6S
P. S46-S53 - juin 2011 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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