Estimating the likely public health impact of partner notification for a clinical service: an evidence-based algorithm

Mercer, Catherine H, Aicken, Catherine R H, Brook, M Gary, Estcourt, Claudia S and Cassell, Jackie A (2011) Estimating the likely public health impact of partner notification for a clinical service: an evidence-based algorithm. American Journal of Public Health, 101 (11). pp. 2117-2123. ISSN 0090-0036

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Abstract

Objectives: We present the first evidence-based method for estimating public health and cost impacts of partner notification (PN) that takes account of sexual partnership type.

Methods: Our algorithm uses routine clinical data, probability survey data, and transmission parameters. We propose 2 new epidemiological concepts to quantify PN impact: "[the] absolute reduction in onward transmission" and its reciprocal, "[the] number needed to treat to interrupt transmission" (i.e., the number of partners who need to be treated to interrupt 1 onward transmission). We demonstrate these concepts for 273 chlamydia cases diagnosed at a UK genitourinary medicine clinic.

Results: The number needed to treat to interrupt transmission (overall, for casual partners, and for regular partners, respectively) was 1.47, 1.11, and 2.50, respectively, for men younger than 25 years; 1.60, 0.83, and 1.25, respectively, for women younger than 25 years; 2.35, 1.39, and 2.08, respectively, for men older than 25 years; and 2.14, 0.93, and 2.08, respectively, for women older than 25 years.

Conclusions: PN that targets casual partners, rather than regular or live-in partners, prevents more secondary transmissions per partnership; it is also more resource intensive, but the public health benefit is greater.

Item Type: Article
Schools and Departments: Brighton and Sussex Medical School > Primary Care and Public Health
Subjects: R Medicine
Depositing User: Jessica Stockdale
Date Deposited: 08 Aug 2012 08:29
Last Modified: 17 Jul 2013 10:39
URI: http://sro.sussex.ac.uk/id/eprint/40327
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