Evidence map›Paper›PMID 34473400›Full record

ArticleJournal of the International AIDS Society2021

Comparing recruitment strategies to engage hard-to-reach men who have sex with men living with HIV with unsuppressed viral loads in four US cities: Results from HPTN 078.

Chris Beyrer, Jowanna Malone, Stefan Baral, Zhe Wang, Carlos Del Rio, Kenneth H Mayer, D Scott Batey, Jason Farley, Theresa Gamble, Jill Stanton and 10 more

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Exploring Different Sampling Strategies: A Description of Our Success in Reaching Hard-to-Reach Turkish and Moroccan Immigrant Women in The Netherlands.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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

20 authors.

Chris BeyrerDepartment of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jowanna MaloneDepartment of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Stefan BaralDepartment of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Zhe WangStatisticalCenter for HIV/AIDS Research and Prevention, Seattle, Washington, USA.
Carlos Del RioDepartment of Epidemiology, Emory Center for AIDS Research, Atlanta, Georgia, USA.
Kenneth H MayerBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
D Scott BateyDepartment of Social Work, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Jason FarleySchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
Theresa GambleHPTN Leadership and Operations Center, FHI 360, Durham, North Carolina, USA.
Jill StantonHPTN Leadership and Operations Center, FHI 360, Durham, North Carolina, USA.
James P HughesDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Ethan WilsonStatisticalCenter for HIV/AIDS Research and Prevention, Seattle, Washington, USA.
Risha IrvinDepartment of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Oscar Guevara-PerezThe Fenway Institute, Boston, Massachusetts, USA.
Adam BocekDepartment of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Josh BruceDepartment of Social Work, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Ronald GastonDepartment of Epidemiology, Emory Center for AIDS Research, Atlanta, Georgia, USA.
Vanessa CummingsDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Robert H RemienHIV Center for Clinical and Behavioral Studies, NY State Psychiatric Institute and Columbia University, New York, New York, USA.
HPTN 078 Study TeamDepartment of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Harvard Medical School Vaccine Clinical Trials UnitUM1AI069412 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Lindsey Robert Baden, Daniel R. Kuritzkes · 2012 to 2026
$57.2M
NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1 AI069412
6 · The paper itself

Abstract

introductionThere is an urgent need to identify men who have sex with men (MSM) living with HIV with unsuppressed viral loads to prevent transmission. Though respondent-driven sampling (RDS) is traditionally used for hard-to-reach populations, we compare how RDS and direct recruitment (DR) perform in identifying MSM living with HIV with unsuppressed viral loads and identifying MSM with socio-demographics characteristic of hard-to-reach populations.

methodsThis is a cross-sectional analysis among 1305 MSM who were recruited from March 2016 to December 2017 for a case management intervention trial (HPTN 078). We recruited participants across four cities using RDS and DR methods: Birmingham, AL; Atlanta, GA; Baltimore, MD; and Boston, MA. Participants completed a socio-demographic questionnaire and underwent HIV testing. We compare the proportion of MSM with HIV and unsuppressed viral loads (HIV RNA

resultsRDS recruited 721 men (55.2%) and DR yielded 584 men (44.8%). Overall, 69% were living with HIV, of whom 18% were not virally suppressed. HIV prevalence was higher among those recruited via DR (84%) compared to RDS (58%), p < 0.0001. Twenty per cent of DR recruits were not virally suppressed compared to 15% of RDS, though this was not significant. DR yielded a significantly higher proportion of Black participants and those with less than a high school diploma. The prevalence of low income, no healthcare coverage, bisexuality and hidden sexuality increased across RDS waves.

conclusionsDR was more efficient in identifying MSM living with HIV with unsuppressed viral loads; however, there was a higher proportion of hard-to-reach MSM who were low income, lacked health coverage, were bisexual and were not open with their sexuality in deeper waves of RDS. Researchers should consider supplementing RDS recruitment with DR efforts if aiming to identify MSM with unsuppressed viral loads via RDS.

Indexed as

HIV InfectionsHomosexuality, MaleCitiesClinical Trials as TopicCross-Sectional StudiesHumansMalePrevalenceSurveys and QuestionnairesViral LoadARVco-infectionHIV epidemiologymen who have sex with menrecruitmentviral suppression

Identifiers

PMID34473400
PMCPMC8412086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.