Evidence map›Paper›PMID 42507682›Full record

ArticlePLOS global public health2026

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

Janice Litunya, Brian Beesiga, Joy Z Nakato, Jaquiline Mwango, Kara Marson, Erick Wafula Mugoma, Jennifer Temple, Pius Agaba, Jane Kabami, Elijah Kakande and 9 more

Abstract read
In one paragraph

Article in PLOS global public health, 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

19 authors.

Janice LitunyaKenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0009-0004-4902-0982
Brian BeesigaInfectious Diseases Research Collaboration, Kampala, Uganda.
Joy Z NakatoDivision of Biostatistics, University of California Berkeley, Berkeley, California, United States of America.
Jaquiline MwangoKenya Medical Research Institute, Nairobi, Kenya.
Kara MarsonDivision of HIV, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.
Erick Wafula MugomaKenya Medical Research Institute, Nairobi, Kenya.
Jennifer TempleDivision of HIV, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.
Pius AgabaInfectious Diseases Research Collaboration, Kampala, Uganda.
Jane KabamiInfectious Diseases Research Collaboration, Kampala, Uganda.
Elijah KakandeInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0001-9532-5710
Judith A HahnDivision of HIV, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.
Carol S CamlinDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, California, United States of America.
Starley B ShadeDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.
Maya L PetersenDivision of Biostatistics, University of California Berkeley, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-5505-153X
Diane V HavlirDivision of HIV, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0003-0761-3136
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Laura B BalzerDivision of Biostatistics, University of California Berkeley, Berkeley, California, United States of America.
James AyiekoKenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-0324-4006
Gabriel ChamieDivision of HIV, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.

Funding

Innovative strategies to promote biomedical HIV prevention uptake and retention among high-risk adults at drinking venues in Kenya and UgandaR01AA030464 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gabriel Chamie · 2022 to 2026
$3.0M
Mentorship in patient-oriented research to optimize community-based HIV prevention for adults at high-risk of HIV at alcohol drinking venues in East AfricaK24AA031211 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gabriel Chamie · 2023 to 2026
$785k
NIAAA NIH HHS K24 AA031211NIAAA NIH HHS R01 AA030464
6 · The paper itself

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.

Identifiers

PMID42507682
PMCPMC13405065

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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.