Monitoring Temporal Changes in the Specificity of an Oral HIV Test: A Novel Application for Use in Postmarketing Surveillance |
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Authors: | Joseph R. Egger Kevin J. Konty Jessica M. Borrelli Julia Cummiskey Susan Blank |
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Affiliation: | 1. Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.; 2. Bureau of STD Prevention and Control, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.; 3. Division of STD Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.;McGill University Health Center, Canada |
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Abstract: | BackgroundPostmarketing surveillance is routinely conducted to monitor performance of pharmaceuticals and testing devices in the marketplace. However, these surveillance methods are often done retrospectively and, as a result, are not designed to detect issues with performance in real-time.Methods and FindingsUsing HIV antibody screening test data from New York City STD clinics, we developed a formal, statistical method of prospectively detecting temporal clusters of poor performance of a screening test. From 2005 to 2008, New York City, as well as other states, observed unexpectedly high false-positive (FP) rates in an oral fluid-based rapid test used for screening HIV. We attempted to formally assess whether the performance of this HIV screening test statistically deviated from both local expectation and the manufacturer''s claim for the test. Results indicate that there were two significant temporal clusters in the FP rate of the oral HIV test, both of which exceeded the manufacturer''s upper limit of the 95% CI for the product. Furthermore, the FP rate of the test varied significantly by both STD clinic and test lot, though not by test operator.ConclusionsContinuous monitoring of surveillance data has the benefit of providing information regarding test performance, and if conducted in real-time, it can enable programs to examine reasons for poor test performance in close proximity to the occurrence. Techniques used in this study could be a valuable addition for postmarketing surveillance of test performance and may become particularly important with the increase in rapid testing methods. |
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