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Improving the cost-effectiveness of Chlamydia screening with targeted screening strategies

Author

Listed:
  • D Evenden

    (School of Mathematics, University of Southampton)

  • P R Harper

    (School of Mathematics, University of Southampton)

  • S C Brailsford

    (School of Management, University of Southampton)

  • V Harindra

    (St Mary's Hospital)

Abstract

Chlamydia is the most common sexually transmitted infection in the UK and constitutes a major public health problem. The UK Department of Health is phasing in a National Chlamydia Screening Programme (NCSP) but there is concern that blanket screening of the entire at risk population will simply add extra burden to the already overstretched health economy. This paper demonstrates that certain high-risk sub-groups within the general population are critical in the infection dynamics. Improved targeting of these high-risk populations achieves greater cost-effectiveness. Statistical risk-group clustering techniques have been used to identify indicators that are strong predictors in determining high-risk status while geomapping techniques visually display prevalence geographically across the region, thus identifying high prevalence postcode clusters and informing public health planners where to target intervention and screening strategies. A System Dynamics simulation model has been used to capture the infection dynamics and measure the cost-effectiveness of the intervention strategies. The model incorporates risk-group behaviour as identified by the above geomapping and statistical analysis components of the research. The combined use of computer simulation, statistical analysis and geomapping methodologies has provided a unique holistic view of the problem.

Suggested Citation

  • D Evenden & P R Harper & S C Brailsford & V Harindra, 2006. "Improving the cost-effectiveness of Chlamydia screening with targeted screening strategies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1400-1412, December.
  • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:12:d:10.1057_palgrave.jors.2602134
    DOI: 10.1057/palgrave.jors.2602134
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    References listed on IDEAS

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    1. J R P Townshend & H S Turner, 2000. "Analysing the effectiveness of Chlamydia screening," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 812-824, July.
    2. Multilateral Investment Guarantee Agency, 2004. "2004 Annual Report," World Bank Publications - Books, The World Bank Group, number 14275.
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    Cited by:

    1. Ozgur M. Araz & Mayteé Cruz-Aponte & Fernando A. Wilson & Brock W. Hanisch & Ruth S. Margalit, 2022. "An Analytic Framework for Effective Public Health Program Design Using Correctional Facilities," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 113-128, January.
    2. Hosking, Michael & Roberts, Stephen & Uzsoy, Reha & Joseph, Talisa M., 2013. "Investigating interventions for increasing colorectal cancer screening: Insights from a simulation model," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 142-155.
    3. Laura McLay & Christodoulos Foufoulides & Jason Merrick, 2010. "Using simulation-optimization to construct screening strategies for cervical cancer," Health Care Management Science, Springer, vol. 13(4), pages 294-318, December.
    4. Alberto Sardi & Enrico Sorano, 2019. "Dynamic Performance Management: An Approach for Managing the Common Goods," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    5. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.
    6. A. Sardi & E. Sorano, 2021. "Dynamic Performance Management: An Approach for Managing the Common Goods," Papers 2102.04090, arXiv.org.
    7. Lane, David & Husemann, Elke & Holland, Darren & Khaled, Abdul, 2019. "Understanding foodborne transmission mechanisms for Norovirus: A study for the UK's Food Standards Agency," European Journal of Operational Research, Elsevier, vol. 275(2), pages 721-736.
    8. Viana, J. & Brailsford, S.C. & Harindra, V. & Harper, P.R., 2014. "Combining discrete-event simulation and system dynamics in a healthcare setting: A composite model for Chlamydia infection," European Journal of Operational Research, Elsevier, vol. 237(1), pages 196-206.
    9. Jiejian Feng & Michael Zhang, 2017. "Reducing cost and abandoned E-components in incomplete identification," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(3), pages 281-290, March.

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