Evidence map›Paper›PMID 39536314›Full record

ArticleJMIR research protocols2024

Neighborhoods, Networks, and HIV Care Among Men Who Have Sex With Men: Proposal for a Longitudinal Study.

Hong Van Tieu, Vijay Nandi, José E Diaz, Emily Greene, Melonie Walcott, Frank Curriero, Michael R Desjardins, Cara Wychgram, Carl Latkin, Andrew G Rundle and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Impact of the COVID-19 Pandemic on Social Support Networks of Gay and Bisexual Men with HIV in New York City.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    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

12 authors.

Hong Van TieuLaboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-7880-6448
Vijay NandiLaboratory of Data Analytics, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-1250-2417
José E DiazDepartment of Medicine, STAR Program, SUNY Downstate Health Sciences University, Brooklyn, NY, United States.ORCID https://orcid.org/0000-0002-0860-5114
Emily GreeneCity University of New York, CUNY School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0001-6321-7088
Melonie WalcottDepartment of Health Policy, Management and Behavior, College of Integrated Health Sciences, State University of New York at Albany, Albany, NY, United States.ORCID https://orcid.org/0000-0002-6945-5076
Frank CurrieroSpatial Science for Public Health Center and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8252-0648
Michael R DesjardinsSpatial Science for Public Health Center and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-2789-5460
Cara WychgramSpatial Science for Public Health Center and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-2875-8812
Carl LatkinDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7931-2116
Andrew G RundleDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-0211-7707
Victoria A FryeColumbia University School of Social Work, New York, NY, United States.ORCID https://orcid.org/0000-0003-3239-7201
NNHIV Study TeamLaboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States.

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Columbia Collaborative HIV/AIDS Clinical Trials UnitU01AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAMMER, SCOTT M · 2007 to 2011
$15.4M
Neighborhoods, Networks, and the HIV Care Continuum among HIV-infected MSM in NYCR01MH118960 · NIMH · NEW YORK BLOOD CENTER · PI TIEU, HONG VAN NHU · 2019 to 2022
$3.5M
Influence of neighborhoods and networks on the HIV care continuum among HIV-infected MSM in NYCR56MH112401 · NIMH · NEW YORK BLOOD CENTER · PI TIEU, HONG VAN NHU · 2017 to 2017
$818k
NIAID NIH HHS U01 AI069470NIAID NIH HHS UM1 AI069470NIMH NIH HHS R01 MH118960NIMH NIH HHS R56 MH112401
6 · The paper itself

Abstract

backgroundThe majority of people living with HIV in the United States are men who have sex with men (MSM), with race- and ethnicity-based disparities in HIV rates and care continuum. In order to uncover the neighborhood- and network-involved pathways that produce HIV care outcome disparities, systematic, theory-based investigation of the specific and intersecting neighborhood and social network characteristics that relate to the HIV care continuum must be engaged.

objectiveUsing socioecological and intersectional conceptual frameworks, we aim to identify individual-, neighborhood-, and network-level characteristics associated with HIV care continuum outcomes (viral suppression, retention in care, and antiretroviral adherence) among MSM living with HIV in New York City.

methodsIn the longitudinal cohort study, we assess 3 neighborhoods of potential influence (residential, social, and health care access activity spaces) using Google Earth. We investigate the influence of neighborhood composition (eg, concentrated poverty and racial segregation) and four neighborhood-level characteristics domains: (1) community violence, physical disorder, and social disorganization (eg, crime rates and housing vacancy); (2) alcohol and other drug use; (3) social norms (eg, homophobia and HIV stigma); and (4) community resources (eg, social services and public transit access). We test theoretical pathways of influence, including stress or coping, stigma or resilience, and access to resources, across the different neighborhoods in which MSM live, socialize, and receive HIV care. At each visit, we locate each participant's reported activity spaces (ie, neighborhoods of potential influence) and collect individual-level data on relevant covariates (including perceptions of or exposure to neighborhoods) and social network inventory data on the composition, social support, and perceived social norms. The outcomes are HIV viral suppression, retention in care, and antiretroviral adherence. These data are combined with an existing, extensive geospatial database of relevant area characteristics. Spatial analysis and multilevel modeling are used to test the main theory-driven hypotheses and capture independent neighborhood-level and network-level effects and changes over time.

resultsThe study began enrollment in March 2019 and concluded visits in December 2023, with a total of 327 participants enrolled. The median age was 44.1 (SD 11.5) years. Almost all participants self-identified as cisgender men (n=313, 98.1%) and as gay, homosexual, or bisexual (n=301, 94.4%). Overall, 192 (60.1%) participants identified as non-Hispanic Black, and 81 (25.3%) identified as Hispanic. Most (n=201, 63%) reported at least occasional difficulty in meeting basic needs (eg, rent and food) in the past 6 months. The mean number of years living with HIV was 15.4 (SD 10.1).

conclusionsThis study will have direct implications for the design of multilevel interventions, addressing factors at the neighborhood, network, and individual levels. Results may inform urban planning and program design to improve HIV care outcomes for MSM, particularly for Black and Latino MSM living in urban areas. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/64358.

Indexed as

HIV InfectionsHomosexuality, MaleResidence CharacteristicsAdultCohort StudiesContinuity of Patient CareHumansLongitudinal StudiesMaleMiddle AgedNew York CitySocial Supportactivity spacesHIV care outcomesliving with HIVmen who have sex with menneighborhoodssocial networks

Identifiers

PMID39536314
PMCPMC11602767

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.