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Influence of alcohol-serving venue characteristics on yield of HIV status-neutral screening in rural East Africa

Datos Bibliográficos

ID23312550
AutoresJanice Litunya (0009-0004-4902-0982, Kenya Medical Research Institute, autor de correspondencia), Brian Beesiga (0000-0001-5927-8857, Infectious Diseases Research Collaboration), Joy Z Nakato (University of California, Berkeley), Jaquiline Mwango (Kenya Medical Research Institute), Kara Marson (0000-0001-9534-0371, University of California, San Francisco), Erick Wafula Mugoma (Kenya Medical Research Institute), Jennifer L Temple (0000-0002-1670-1501, University of California, San Francisco), Jennifer Temple, Pius Agaba (Infectious Diseases Research Collaboration), Jane Kabami (0000-0002-0265-3174, Infectious Diseases Research Collaboration), Elijah Kakande (0000-0001-9532-5710, Infectious Diseases Research Collaboration), Judith A Hahn (0000-0002-2697-8264, University of California, San Francisco), Carol S Camlin (0000-0001-5615-1164, University of California, San Francisco), Starley B Shade (0000-0001-8172-4649, University of California, San Francisco), Maya L Petersen (0000-0002-5505-153X, University of California, Berkeley), Diane V Havlir (0000-0003-0761-3136, University of California, San Francisco), Moses R Kamya (0000-0001-9106-4234, Infectious Diseases Research Collaboration), Laura B Balzer (0000-0002-3730-410X, University of California, Berkeley), James Ayieko (0000-0002-0324-4006, Kenya Medical Research Institute), Gabriel Chamie (0000-0002-5860-8081, University of California, San Francisco)
EditoresDumile Gumede (0000-0001-8739-6033)
Año2026
Volumen6
Número7
Páginase0005053
Fecha de publicación2026-07-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPLOS Global Public Health (JOURNAL)
Identificadores de la revistaISSN: 2767-3375 • E-ISSN: 2767-3375
EditorialPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0005053
PMID42507682
OpenAlexW4412994387
IdiomaEN
Referencias citadas15

Alcohol-serving venues are high-risk sites for HIV transmission in East Africa. Understanding how venue characteristics influence HIV screening outcomes may help to target venue-based outreach. In eight rural communities in Kenya and Uganda, we mapped all alcohol-serving venues (N = 530) and invited owners to participate in a cluster-randomized trial to promote biomedical HIV prevention uptake: 527 (99%) owners agreed to participate. We distributed cards recruiting adults ( ≥ 18 years) for free HIV testing with rapid initiation of HIV biomedical prevention or treatment. We characterized the yield of venue-based recruitment and evaluated venue-level correlates of being newly diagnosed with HIV, being previously diagnosed but out-of-care, and having self-reported HIV risk. Of 480 participating venues (Kenya = 89, Uganda = 391; 41 closed pre-recruitment and 6 had no one present), 61 (13%) had rooms for sex work; 91 (19%) offered condoms, and the median patrons/venue was 10/weekend-day. Staff distributed 9,375 cards and 7,744 (83%) adults participated in HIV screening. Of those screened, the median age was 34 years (IQR:26–43), 62% were men, and 1,620 (21%) had HIV. Among persons without known HIV, 141/6,265 (2.3%) were newly-diagnosed with HIV. Among persons with known HIV, 78/1,479 (5.3%) were out-of-care. Among persons without HIV, 2,285/6,124 (37%) reported HIV risk. The odds of having newly-diagnosed HIV increased significantly with each additional patron/weekend-day at a given venue (adjusted odds ratio [aOR]=1.03, 95%CI:1.00-1.05, p = 0.025). The odds of being previously diagnosed but out-of-care were significantly lower among attendees at venues with condoms on site (aOR=0.39, 95%CI:0.16-0.99, p = 0.047). The odds of reporting HIV risk were significantly higher among attendees at venues with condoms (aOR=1.25, 95%CI:1.04-1.49, p = 0.015), more patrons/weekday (aOR=1.01, 95%CI:1.00-1.02, p = 0.022), and more barmaids (aOR=1.07, 95%CI:1.01-1.13, p = 0.013). Alcohol-serving venue characteristics were predictive of the yield of persons with untreated HIV or high HIV risk, and could aid programs in targeting venues for HIV prevention and treatment.

Alcohol · Economics · Environmental health · Family medicine · Geography · Human immunodeficiency virus (HIV) · Socioeconomics · Yield (engineering) · Chemistry · HIV, Drug Use, Sexual Risk · HIV/AIDS Impact and Responses · HIV/AIDS Research and Interventions · Medicine

  • Longitudinal data analysis using generalized linear models

    Kung-Yee Liang, Kung‐Yee Liang et al.•Biometrika•1986

  • Alcohol use and its association with HIV risk behaviors among a cohort of patients attending HIV clinical care in Tanzania, Kenya, and Namibia

    Amy Medley, Puja Seth et al.•AIDS Care•2014

  • Being Unaware of Being HIV-Infected is Associated with Alcohol Use Disorders and High-Risk Sexual Behaviors Among Men Who have Sex with Men in Peru

    Open Access•Panagiotis Vagenas, Kaysia Ludford et al.•AIDS and Behavior•2013

  • Level of Alcohol Use Associated with HIV Care Continuum Targets in a National U.S. Sample of Persons Living with HIV Receiving Healthcare

    Open Access•Ellaleen C Williams, Emily C Williams et al.•AIDS and Behavior•2018

  • Venues for Meeting Sex Partners and Partner HIV Risk Characteristics

    Open Access•Malika Roman Isler, Carol E Golin et al.•AIDS and Behavior•2015

  • Targeting HIV Interventions for Adolescent Girls and Young Women in Southern Africa

    Open Access•Kavita Singh, William Sambisa et al.•AIDS and Behavior•2009

  • HIV-Risk Behaviors and Social Support Among Men and Women Attending Alcohol-Serving Venues in South Africa

    Open Access•Jennifer Velloza, Melissa H Watts et al.•AIDS and Behavior•2017

  • Alcohol use and sexual behaviour among risky drinkers and bar and shebeen patrons in Gauteng province, South Africa

    Open Access•Neo K Morojele, Millicent A Kachieng’a et al.•Social Science & Medicine•2006

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