The effect of a social network-based intervention to promote HIV testing and linkage to HIV services among fishermen in Kenya: a cluster-randomised trial - PubMed (original) (raw)

Randomized Controlled Trial

. 2025 Apr;13(4):e669-e678.

doi: 10.1016/S2214-109X(24)00539-4.

Lila A Sheira 2, Zachary A Kwena 3, Edwin D Charlebois 4, Kawango Agot 5, James Moody 6, Benard Ayieko 5, Sarah A Gutin 7, Antony Ochung 5, Phoebe Olugo 5, Jayne Lewis-Kulzer 2, Holly Nishimura 4, Monica Gandhi 4, Elizabeth A Bukusi 3, Harsha Thirumurthy 8

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Randomized Controlled Trial

The effect of a social network-based intervention to promote HIV testing and linkage to HIV services among fishermen in Kenya: a cluster-randomised trial

Carol S Camlin et al. Lancet Glob Health. 2025 Apr.

Abstract

Background: In sub-Saharan Africa, highly mobile men such as fishermen have a low uptake of HIV testing, prevention, and treatment. This study aimed to examine whether a HIV status-neutral, social network-based intervention could improve testing and linkage to prevention and treatment among fishermen in Kenya.

Methods: The Owete cluster-randomised trial mapped the male social networks of fishermen in three communities along Lake Victoria in Siaya County, Kenya, and identified distinct social networks (clusters) with a highly connected, network-central man (promoter) in each network. Participant inclusion criteria were age 18 years or older, a listing in the Beach Management Unit registry, a governmental requirement to work as a fisherman at each site, and no participation in any other HIV-related study. Clusters were randomly assigned to an intervention group in which promoters were trained and offered multiple HIV self-tests to offer to cluster members, and transport vouchers (US$4) to encourage those members to link to HIV treatment or pre-exposure prophylaxis (PrEP). In control clusters, promoters received HIV information and referral vouchers for a free self-test or provider-administered test in nearby clinics that they were encouraged to offer to cluster members. We compared self-reported HIV testing in the past 3 months and linkage to HIV services among participants in intervention and control clusters at the 3-month follow-up visit in the intention-to-treat sample, defined as members of the social networks who were successfully contacted at 3 months using a cluster-adjusted two-sample test of proportions. The trial is registered at ClinicalTrials.gov, NCT04772469, and is completed.

Findings: Between July 17, 2020 and Feb 2, 2022, 1509 eligible men participated in the beach census. 575 were excluded due to not being mapped to a close social network, and 934 men in 156 social network clusters were mapped. 453 men were randomly assigned to the intervention group and 481 were randomly assigned to the control group. 733 men completed a baseline survey (374 in the intervention group and 359 in the control group). 353 men in the intervention group and 313 in the control group completed the 3-month follow-up assessments and were included in the analysis of the primary outcome. Participants' median age was 35·5 years (IQR 30·1-42·3); 85% were married, with 22% in polygynous relationships. HIV testing via any modality at 3 months was higher in intervention compared with control clusters (65·6 [95% CI 59·5-71·7] vs 31·3% [25·4-37·2], p<0·0001). Self-reported HIV testing at 3 months was also higher in intervention clusters (60·4% [95% CI 54·2-66·7] vs 10·0% [6·8-13·3], p<0·0001). Additionally, following testing, linkage to HIV treatment or PrEP among those who tested was higher in intervention clusters (67·3% [95% CI 61·2-73·5] vs 15·6% [10·9-20·2], p<0·0001).

Interpretation: A status-neutral social network intervention that utilised HIV self-screening tests proved to be highly effective in engaging hard-to-reach, highly mobile Kenyan men in HIV testing and care. This strategy holds promise for improving early detection and care engagement for other infectious and non-communicable diseases globally. Similar approaches that leverage peer influence within social networks and the growing accessibility of self-screening tests could be adapted for conditions such as tuberculosis, hepatitis, and hypertension in diverse global health settings.

Funding: National Institute of Mental Health.

Copyright © 2025 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Conflict of interest statement

Declaration of interests EAB declares funding support from the MSD/Merck and L'Oreal Foundations, both of which had no role in study design, data collection, data analysis, data interpretation, or writing of this Article. All other authors declare no competing interests.

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