Health Care Management Science

, Volume 7, Issue 2, pp 135–144

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

  • Guoyu Tao
  • Bartholomew K. Abban
  • Thomas L. Gift
  • Guantao Chen
  • Kathleen L. Irwin
Article

DOI: 10.1023/B:HCMS.0000020653.31862.23

Cite this article as:
Tao, G., Abban, B.K., Gift, T.L. et al. Health Care Management Science (2004) 7: 135. doi:10.1023/B:HCMS.0000020653.31862.23

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.

mixed-integer program screening re-screening chlamydial infection sexually transmitted diseases cost-saving optimization 

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • Guoyu Tao
    • 1
  • Bartholomew K. Abban
    • 2
  • Thomas L. Gift
    • 3
  • Guantao Chen
    • 4
  • Kathleen L. Irwin
    • 5
  1. 1.Division of STD Prevention, National Center for HIV, STD, and TB Prevention, Centers for Disease Control and PreventionAtlantaUSA
  2. 2.Department of Mathematics and StatisticsGeorgia State UniversityAtlanta
  3. 3.Division of STD Prevention, Centers for Disease Control and PreventionAtlantaUSA
  4. 4.Department of Mathematics and StatisticsGeorgia State UniversityAtlantaUSA
  5. 5.Division of STD PreventionCenters for Disease Control and PreventionAtlantaUSA

Personalised recommendations