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

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.

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Journal
PLOS Global Public Health
Published
2026-07-27
DOI
https://doi.org/10.1371/journal.pgph.0005053
Primary Topic
HIV/AIDS Research and Interventions
Type
article
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article

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

Jane Kabami, Judith A. Hahn, Starley B. Shade, Erick Wafula Mugoma et al.
PLOS Global Public Health
HIV/AIDS Research and Interventions
article

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

Jane Kabami, Judith A. Hahn, Starley B. Shade, Erick Wafula Mugoma, Brian Beesiga, Kara Marson, Jennifer L. Temple, Elijah Kakande, Gabriel Chamie, Carol S. Camlin, Maya L. Petersen, Diane V. Havlir, James Ayieko, Janice Litunya, Moses R. Kamya, Laura B. Balzer, Joy Z. Nakato, Jaquiline Mwango
article en

Abstract

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.

PLOS Global Public HealthVol. 6(7)
University of California, San Francisco (US), University of California System (US), Kenya Medical Research Institute (KE), Infectious Diseases Research Collaboration (UG), Makerere University (UG), University of California, Berkeley (US)
Ministry of Health, Uganda, National Institute on Alcohol Abuse and Alcoholism
Openalex Percentile: Top 100%
HIV/AIDS Research and Interventions
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