Evidence map›Paper›PMID 34775299›Full record

ArticleEpidemics2021

Effective strategies to promote HIV self-testing for men who have sex with men: Evidence from a mathematical model.

Deven T Hamilton, David A Katz, Wei Luo, Joanne D Stekler, Eli S Rosenberg, Patrick S Sullivan, Steven M Goodreau, Susan Cassels

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
  3. Article
  4. Article
  5. 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

8 authors at 4 institutions in 2 countries.

Deven T HamiltonCenter for Studies in Demography and Ecology, University of Washington, 206 Raitt Hall, Box 353412, Seattle, WA, United States. Electronic address: dth2@uw.edu.
David A KatzDepartment of Global Health, University of Washington, Seattle, WA, United States.
Wei LuoDepartment of Geography, National University of Singapore, Singapore, Singapore.
Joanne D SteklerDepartment of Global Health, University of Washington, Seattle, WA, United States; Department of Medicine, University of Washington, Seattle, WA, United States; Department of Epidemiology, University of Washington, Seattle, WA, United States.
Eli S RosenbergDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY, United States.
Patrick S SullivanDepartment of Epidemiology, Emory University, Atlanta, GA, UUnited States; Department of Global Health, Emory University, Atlanta, GA, UUnited States.
Steven M GoodreauCenter for Studies in Demography and Ecology, University of Washington, 206 Raitt Hall, Box 353412, Seattle, WA, United States; Department of Anthropology, University of Washington, Seattle, WA, United States.
Susan CasselsDepartment of Geography, National University of Singapore, Singapore, Singapore.
University of Washington · USNational University of Singapore · SGAlbany State University · USEmory University · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI CONNIE L CELUM · 1988 to 2026
$104.9M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$9.3M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
Explaining Differences in HIV Prevalence and Incidence in Black and White MSMR01MH085600 · NIMH · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2009 to 2013
$2.9M
Sexual Networks and Concurrency of Black and White MSMR01HD067111 · NICHD · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2010 to 2012
$2.0M
Mathematical models to inform effective home-use HIV testing strategies for MSMR21HD080523 · NICHD · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CASSELS, SUSAN LYNN · 2015 to 2016
$433k
Improving Consent and Survey Procedures for young MSM in Web-based HIV PreventionR21HD074502 · NICHD · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2013 to 2014
$424k
Using Sexual Network Transmission Models to Explain HIV Disparities Between BlackR21HD075662 · NICHD · UNIVERSITY OF WASHINGTON · PI GOODREAU, STEVEN M. · 2013 to 2014
$418k
NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI050409NICHD NIH HHS P2C HD042828NICHD NIH HHS R01 HD067111NICHD NIH HHS R21 HD074502NICHD NIH HHS R21 HD075662NICHD NIH HHS R21 HD080523NICHD NIH HHS R24 HD042828NIMH NIH HHS R01 MH085600
6 · The paper itself

Abstract

backgroundHIV testing is the gateway to HIV treatment and prevention. HIV self-testing (HIVST) has potential to increase testing; however, the potential population-level impact of HIVST on the HIV epidemic and the best strategies for promoting HIVST are unknown. Our aim is to inform public health approaches for promoting HIVST as part of a comprehensive strategy to reduce HIV incidence.

methodsStochastic network-based HIV transmission models were used to estimate how different HIVST strategies would affect HIV incidence in Seattle and Atlanta over 10 years. We included four types of HIV testers and implemented nine replacement and eleven supplementation strategies for HIVST.

resultsReplacement of clinic-based tests with HIVST increased HIV incidence in Seattle and Atlanta. The benefits of supplementary strategies depended on the tester type using HIVST. Targeting non-testers averted the highest number of cases per test. In Seattle 2.2 (95%SI=-77, 100.4) and 4.7 (95%SI=-35.7, 60.1) infections were averted per 1000 HIVST when non-testers used HIVST once or twice per year respectively. In Atlanta the comparable rates were 8.0 (95%SI=-60.3 to 77.7) and 6.7 (95%SI=-37.7, 41.0). Paradoxically, increasing testing among risk-based testers using HIVST increased incidence.

conclusionsThe population-level impact of HIVST depends on who is reached with HIVST, how kits are used, and by characteristics of the underlying epidemic and HIV care infrastructure. Targeted HIVST can be an effective component of a comprehensive HIV testing strategy. More work is needed to understand how to identify and target non-testers for self-testing implementation.

Indexed as

HIV InfectionsSexual and Gender MinoritiesHIV TestingHomosexuality, MaleHumansMaleModels, TheoreticalSelf-TestingHIV self-testingHIV transmission dynamicsNetwork modeling

Identifiers

PMID34775299
PMCPMC8759720
OpenAlexW3209834511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.