Evidence map›Paper›PMID 21940925›Full record

ArticleAmerican journal of public health2011

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

Catherine H Mercer, Catherine R H Aicken, M Gary Brook, Claudia S Estcourt, Jackie A Cassell

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in American journal of public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Optimising partner notification outcomes for bacterial sexually transmitted infections: a deliberative process and consensus, United Kingdom, 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Partner notification.Medicine (Abingdon, England : UK ed.) · 2014
    Review
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Catherine H MercerResearch Department of Infection and Population Health, University College London, London, UK. c.mercer@ucl.ac.uk
Catherine R H Aicken
M Gary Brook
Claudia S Estcourt
Jackie A Cassell
University of Sussex · GB

Funding

Department of Health 07/42/02Department of Health G0601685Department of Health HTA/07/42/02Medical Research Council G0601685
6 · The paper itself

Abstract

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

methodsOur 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.

resultsThe 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.

conclusionsPN 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.

Indexed as

AlgorithmsDisease NotificationSexual PartnersAdultAge FactorsChlamydia InfectionsEvidence-Based MedicineFemaleHumansMalePublic HealthSex Factors

Identifiers

PMID21940925
PMCPMC3222400
OpenAlexW2054270016

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.