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Comparison of current US risk strategy to screen for hepatitis C virus with a hypothetical targeted birth cohort strategy

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  • Tomaszewski, K.J.
  • Deniz, B.
  • Tomanovich, P.
  • Graham, C.S.

Abstract

Objectives. We compared the theoretical performance of a 1-time, birth cohort strategy with the currently recommended risk strategy for screening for hepatitis C virus (HCV) infection, which is undetected in an estimated 75% of 4 million affected people in the United States. Methods. We applied current American Association for the Study of Liver Disease risk screening guidelines and a targeted birth cohort strategy to National Health and Nutrition Examination Survey data from 2003 to 2006 to estimate their performance in identifying HCV cases. Results. Risk guidelines would recommend testing 25% of the US population aged 20 years or older and, if fully implemented, identify 82% of the projected HCV-exposed population. A targeted birth cohort (1946-1964) strategy would test 45% of the same population and identify 76% of the projected HCV population. Conclusions. In this ideal-world simulation, birth year and risk screening had similar theoretical performances for predicting HCV infection. However, actual implementation of risk screening has not achieved its theoretical performance, and birth cohort screening might increase HCV testing rates.

Suggested Citation

  • Tomaszewski, K.J. & Deniz, B. & Tomanovich, P. & Graham, C.S., 2012. "Comparison of current US risk strategy to screen for hepatitis C virus with a hypothetical targeted birth cohort strategy," American Journal of Public Health, American Public Health Association, vol. 102(11), pages 101-106.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2011.300488_7
    DOI: 10.2105/AJPH.2011.300488
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    Cited by:

    1. Martin Zalesak & Kevin Francis & Alex Gedeon & John Gillis & Kyle Hvidsten & Phyllis Kidder & Hong Li & Derek Martyn & Leslie Orne & Amanda Smith & Ann Kwong, 2013. "Current and Future Disease Progression of the Chronic HCV Population in the United States," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-10, May.

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