Evidence map›Paper›PMID 32044842›Full record

ArticleAIDS (London, England)2020

Improving HIV outreach testing yield at cross-border venues in East Africa.

Jessie K Edwards, Peter Arimi, Freddie Ssengooba, Michael E Herce, Grace Mulholland, Milissa Markiewicz, Susan Babirye, Steven Ssendagire, Sharon S Weir

Abstract read
In one paragraph

Article in AIDS (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jessie K EdwardsDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Peter ArimiU.S. Agency for International Development, Kenya/East Africa Regional Mission, Nairobi, Kenya.
Freddie SsengoobaMakerere University School of Public Health, Kampala, Uganda.
Michael E HerceInstitute for Global Health & Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Grace MulhollandDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Milissa MarkiewiczCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Susan BabiryeMakerere University School of Public Health, Kampala, Uganda.
Steven SsendagireMakerere University School of Public Health, Kampala, Uganda.
Sharon S WeirDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Comparative effectiveness of tailored HIV treatment plans and mortalityK01AI125087 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EDWARDS, JESSIE · 2017 to 2021
$586k
NIAID NIH HHS K01 AI125087NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

objectiveThe aim of this study was to evaluate HIV testing yield under several candidate strategies for outreach testing at venues (i.e. places where people socialize and meet new sex partners) in East Africa cross-border areas.

designPopulation-based cross-sectional biobehavioural survey of people who had not been previously diagnosed with HIV found in venues.

methodsWe identified participants who would have been tested for HIV under each of 10 hypothetical outreach testing strategies and calculated the proportion who would have newly tested positive for HIV under each strategy. On the basis of this proportion, we calculated the 'number needed to test' (NNT) to identify one new case of HIV under each strategy. All estimates were obtained by applying survey sampling weights to account for the complex sampling design.

resultsIf testing was performed at a random sample of venues, 35 people would need to be tested to identify one new case of HIV, but higher yield could be found by limiting testing to venues with specific characteristics. Strategies focusing on women had higher testing yield. Testing women employed by venues would result in highest yield of all strategies examined (NNT = 15), while testing men under age 24 would result in the lowest yield (NNT = 99).

conclusionQuantitatively evaluating HIV testing strategies prior to implementation using survey data presents a new opportunity to refine and prioritize outreach testing strategies for the people and places most likely to result in high HIV testing yield.

Indexed as

AdolescentAdultAfrica, EasternAIDS SerodiagnosisCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMass ScreeningMiddle AgedProgram EvaluationPublic HealthPublic Health PracticeRisk FactorsSexual Partners

Identifiers

PMID32044842
PMCPMC7178496

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Registered trials

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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.