Modeling the Impact of Treatment Failure on Chlamydia Transmission and Screening

Regan, David G. PhD*; Wilson, David P. PhD*; Hocking, Jane S. PhD

Sexually Transmitted Diseases:
doi: 10.1097/OLQ.0000000000000009
Original Study
Abstract

Background: Standard current treatment regimens for chlamydia treatment have been widely considered to be highly effective, with a cure rate of around 97%. However, recent studies indicate that treatment failure may occur at a rate that is substantially higher than previously thought.

Methods: We use a mathematical dynamic transmission model to estimate the population-level impact of treatment failure on chlamydia transmission and on the effectiveness of screening strategies.

Results: The findings indicate that in high-resource settings such as Australia, there will be an approximately 0.16% linear increase in population prevalence for each incremental increase of 1% in the treatment failure rate. To compensate for higher assumed treatment failure, screening coverage will have to increase by between ∼4% and ∼16% to achieve a reduction of 50% in chlamydia prevalence within 5 years under the scenarios evaluated. Higher treatment failure rates also substantially lengthen the time required for screening to deliver the same reductions in prevalence as are predicted under the conservative assumption of only 3% treatment failure. The predicted relative increases are in the range ∼6% to 35%, depending on the assumed treatment failure rate (8%–23%), screening strategy (female-only or male-plus-female) and the duration of screening (5 or 10 years).

Conclusions: The rate of treatment failure may have a significant impact on the screening coverage and time required to achieve target reductions in chlamydia prevalence. The treatment failure rate should therefore be carefully considered when evaluating the potential effectiveness of proposed screening programs.

In Brief

Recent studies suggest that chlamydia treatment failure may occur more frequently than previously thought. Insights gained from a mathematical model suggest that treatment failure can have a substantial impact on chlamydia prevalence and can compromise the effectiveness of screening programs.

Author Information

From *The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia; and †The Centre for Women’s Health, Gender and Society, The University of Melbourne, Melbourne, Victoria, Australia

This work was supported by a National Health & Medical Research Council Program grant (568971) entitled “Sexually transmitted infections: causes, consequences and interventions.” The Kirby Institute receives funding from the Australian Government Department of Health and Ageing and is affiliated with the Faculty of Medicine, The University of New South Wales. The views expressed in this publication do not necessarily represent the position of the Australian Government.

Conflicts of interest: None declared.

Correspondence: David G. Regan, PhD, The Kirby Institute, The University of New South Wales, 45 Beach St, Coogee, NSW 2034, Australia. E-mail: dregan@kirby.unsw.edu.au.

Received for publication November 7, 2012, and accepted June 3, 2013.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text, and links to the digital files are provided in the HTML text of this article on the journal’s Web site (http://www.stdjournal.com).

© Copyright 2013 American Sexually Transmitted Diseases Association