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Applying a Mixed-Integer Program to Model Re-Screening Women who Test Positive for C. trachomatis Infection

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Abstract

We proposed a mixed-integer program to model the management of C. trachomatis infections in women visiting publicly funded family planning clinics. We intended to maximize the number of infected women cured of C. trachomatis infections. The model incorporated screening, re-screening, and treatment options for three age groups with respective age-specific C. trachomatis infection and re-infection rates, two possible test assays, and two possible treatments. Our results showed the total budget had a great impact on the optimal strategy incorporating screening coverage, test selection, and treatment. At any budget level, the strategy that used a relatively small per-patient budget increase to re-screen all women who tested positive 6 months earlier always resulted in curing more infected women and more cost-saving than the strategy that was optimal under the condition of not including a re-screening option.

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Authors and Affiliations

  1. Division of STD Prevention, National Center for HIV, STD, and TB Prevention, Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS-E80, Atlanta, GA, 30333, USA

    Guoyu Tao

  2. Department of Mathematics and Statistics, Georgia State University, Atlanta, GA

    Bartholomew K. Abban

  3. Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA

    Thomas L. Gift

  4. Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA

    Guantao Chen

  5. Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA

    Kathleen L. Irwin

Authors
  1. Guoyu Tao
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  2. Bartholomew K. Abban
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  3. Thomas L. Gift
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  4. Guantao Chen
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  5. Kathleen L. Irwin
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Correspondence to Guoyu Tao.

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Tao, G., Abban, B.K., Gift, T.L. et al. Applying a Mixed-Integer Program to Model Re-Screening Women who Test Positive for C. trachomatis Infection. Health Care Management Science 7, 135–144 (2004). https://doi.org/10.1023/B:HCMS.0000020653.31862.23

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  • DOI: https://doi.org/10.1023/B:HCMS.0000020653.31862.23

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