Evidence map›Paper›PMID 41222262›Full record

ArticleAmerican journal of epidemiology2026

Implementing and retaining a large-scale technology-mediated cohort to study HIV incidence and PrEP uptake among vulnerable cisgender men as well as transgender individuals in the United States, the Together 5000 cohort.

Drew A Westmoreland, Meredith A Ray, Samia Sultana, Jacob Bleasdale, McKaylee Robertson, Chloe Mirzayi, Alexa B D'Angelo, Matthew Stief, Donald Hoover, Sabina Hirshfield and 7 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Drew A WestmorelandDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States.ORCID 0000-0003-4085-7941
Meredith A RayDepartment of Epidemiology and Biostatistics, School of Public Health, University of Memphis, Memphis, Tennessee, United States.ORCID 0000-0001-5312-3774
Samia SultanaDepartment of Epidemiology and Biostatistics, School of Public Health, University of Memphis, Memphis, Tennessee, United States.
Jacob BleasdaleDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States.ORCID 0000-0002-9779-1413
McKaylee RobertsonInstitute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, United States.ORCID 0000-0002-8426-6572
Chloe MirzayiInstitute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, United States.
Alexa B D'AngeloInstitute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, United States.
Matthew StiefInstitute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, United States.
Donald HooverDepartment of Statistics and Institute for Health, Health Care Policy and Aging Research Rutgers University, New Brunswick, New Jersey, United States.
Sabina HirshfieldDepartment of Medicine, STAR Program, SUNY Downstate Health Sciences University, Brooklyn, New York, United States.ORCID 0000-0002-2649-469X
Viraj V PatelDepartment of Medicine, Albert Einstein College of Medicine, Bronx, New York, United States.
David W PantaloneDepartment of Clinical Psychology, University of Massachusetts, Boston, Massachusetts, United States.ORCID 0000-0003-2020-8696
Adam CarricoDepartment of Health Promotion and Disease Prevention, College of Public Health and Social Work, Florida International University, Miami, Florida, United States.
Sarit A GolubDepartment of Psychology, Hunter College, City University of New York, New York, New York, United States.
Denis NashInstitute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, United States.ORCID 0000-0002-3280-5386
Christian GrovInstitute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, United States.ORCID 0000-0001-6871-3531
Together 5000 team

Funding

Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Kathryn M. Anastos · 2017 to 2026
$28.3M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
Translational Science Training to Reduce the Impact of Alcohol on HIV InfectionT32AA025877 · NIAAA · UNIVERSITY OF FLORIDA · PI Robert L Cook, DEBRA E LYON · 2018 to 2026
$3.3M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUG3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2017 to 2018
$2.6M
The Impact of Alcohol on PrEP Adherence in Vulnerable MenK01AA029047 · NIAAA · UNIVERSITY OF FLORIDA · PI WESTMORELAND, DREW ANNE · 2020 to 2024
$940k
CUNY Institute for Implementation Science in Population Health K01 AA 029047Einstein, Rockefeller, CUNY Center for AIDS Research ERC CFAR, P30 AI124414NIAAA NIH HHS K01 AA029047NIAAA NIH HHS T32 AA025877NIAID NIH HHS P30 AI124414NIAID NIH HHS UG3 AI133675NIAID NIH HHS UH3 AI133675NIH HHS UH3 AI 133675-PI GrovUniversity of Florida T32 AA 025877
6 · The paper itself

Abstract

HIV remains a significant public health concern requiring innovative solutions. Widespread internet access and advancing health technologies (e.g., home-based HIV/STI testing) have often made research and intervention implementation more efficient and effective. The purpose of this analysis is to describe a technology-mediated HIV prevention cohort's implementation, participant engagement strategies, and methods to overcome study retention challenges. Participants residing in the United States or territories were recruited from geospatial social networking applications between October 2017 and June 2018. Enrolled participants completed annual online surveys and at-home HIV testing-baseline, 12-, 24-, 36-, and 48-month follow-up. Multiple adjusted logistic regression models were used to determine sociodemographic and behavioral characteristics associated with completing each survey and returning a HIV specimen collection kit. Study response probability weights were calculated to account for attrition. Results suggest several sociodemographic and behavioral characteristics were associated with completing study activities. Importantly, participants who were Black had lower odds of completing surveys and HIV testing. This cohort demonstrated feasibility for recruiting and retaining a cohort of 5000 HIV-vulnerable individuals and identified 569 HIV infections. Our findings highlight many benefits of conducting internet-mediated studies; however, these studies face unique challenges that may require post-hoc analytic solutions or effective retention strategies.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisTransgender PersonsAdultCohort StudiesFemaleHumansIncidenceMaleMiddle AgedUnited StatesVulnerable PopulationsYoung Adultdigital cohortHIV preventionPrEPsexual and gender minority people

Identifiers

PMID41222262
PMCPMC12771557

What OpenQuestion holds

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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.