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Analysing the effectiveness of Chlamydia screening

Author

Listed:
  • J R P Townshend

    (Department of Health)

  • H S Turner

    (Department of Health)

Abstract

Chlamydia is a highly prevalent sexually transmitted infection which is normally asymptomatic. Chlamydia is a major public health concern since it is one of the biggest causes of infertility in the UK. A screening programme has been proposed and here we analyse its potential cost-effectiveness. Previous modelling analyses for Chlamydia screening have been inadequate at representing the dynamic complexity of the impact. Most notably, the impact on the population prevalence has been overlooked as well as the possibility for an individual to become re-infected after treatment. A system dynamics model was built using the array facility in the ithink software to represent a heterogeneous population. This population was disaggregated along two dimensions: age and sexual activity levels. Results suggest that the proposed screening programme would prevent significant numbers of infertility cases annually. Additionally, it could be paying for itself after about four years and recouping the initial outlay after about twelve years.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:7:d:10.1057_palgrave.jors.2600978
    DOI: 10.1057/palgrave.jors.2600978
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    Citations

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    Cited by:

    1. 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.
    2. S C Brailsford & V A Lattimer & P Tarnaras & J C Turnbull, 2004. "Emergency and on-demand health care: modelling a large complex system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 34-42, January.
    3. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    4. A. Sardi & E. Sorano, 2021. "Dynamic Performance Management: An Approach for Managing the Common Goods," Papers 2102.04090, arXiv.org.
    5. P Bennett & A Hare & J Townshend, 2005. "Assessing the risk of vCJD transmission via surgery: models for uncertainty and complexity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 202-213, February.
    6. Özge Karanfil & Niyousha Hosseinichimeh & Jim Duggan, 2020. "System dynamics and bio‐medical modeling," System Dynamics Review, System Dynamics Society, vol. 36(4), pages 389-396, October.
    7. Alberto Sardi & Enrico Sorano, 2019. "Dynamic Performance Management: An Approach for Managing the Common Goods," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    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. 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.
    10. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    11. 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.

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