Evidence map›Paper›PMID 42481424›Full record

ArticleGlobal health, science and practice2026

Reaching Men and Women Through a Decentralized Mobile Service Delivery Model for HIV Prevention and Pre-Exposure Prophylaxis Services in South Africa.

Pelisa Nongena, Catherine E Martin, Lorrein S Muhwava, Fatima A Cholo, Glory Chidumwa, Maserame V Mojapele, Vusile Butler, Saiqa Mullick

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Article in Global health, science and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pelisa NongenaWits RHI, University of the Witwatersrand, Johannesburg, South Africa.
Catherine E MartinWits RHI, University of the Witwatersrand, Johannesburg, South Africa. cmartin@wrhi.ac.za.
Lorrein S MuhwavaWits RHI, University of the Witwatersrand, Johannesburg, South Africa.
Fatima A CholoWits RHI, University of the Witwatersrand, Johannesburg, South Africa.
Glory ChidumwaWits RHI, University of the Witwatersrand, Johannesburg, South Africa.
Maserame V MojapeleWits RHI, University of the Witwatersrand, Johannesburg, South Africa.
Vusile ButlerWits RHI, University of the Witwatersrand, Johannesburg, South Africa.
Saiqa MullickWits RHI, University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStructural and service delivery barriers such as long waiting times, health care provider attitudes, and distance from services prevent access to HIV prevention and pre-exposure prophylaxis (PrEP) services, particularly for young people. The World Health Organization recommends differentiated service delivery models for HIV prevention and treatment services, including through mobile outreach. Mobile health clinics offer an opportunity to overcome barriers to service access by bringing services closer to places of work or study, improving convenience, minimizing stigma, and expanding the choice of service delivery locations and types.

methodsWe conducted a mixed-methods study describing a mobile service delivery model for HIV prevention and PrEP services in 3 provinces in South Africa. The study used routine program monitoring and evaluation data from 35,375 men and women aged ≥15 years accessing services at project fixed facility and mobile clinic sites between January 2019 and October 2022, in addition to data from 74 in-depth interviews with a purposively selected sample of adolescent girls and young women aged 15-24 years and men aged ≥15 years enrolled in a nested study cohort.

resultsOverall, 11,687 people were reached through mobile clinics between January 2019 and October 2022, of whom the majority were female (89.3%) and between 15-24 years (82.8%). Nearly all (96.0%) mobile clinic clients received an HIV test and 80.8% initiated oral PrEP, similar to HIV testing and PrEP initiation rates at the fixed facilities. Health care users demonstrated a high level of satisfaction with mobile health services, with benefits including a reduction in trips to fixed facilities, improved privacy, and reduced waiting times. However, some participants noted challenges with mobile services, including inconsistent schedules.

conclusionMobile health services with youth-friendly staff have the potential to reach young people in need of HIV prevention services and are feasible and acceptable in the South African setting. Mobile health services offered benefits such as convenience, privacy, and reduced need to travel to clinics, although they could be enhanced through improved consistency of services.

Indexed as

Health Services AccessibilityHIV InfectionsMobile Health UnitsPre-Exposure ProphylaxisAdolescentAdultFemaleHumansMaleSouth AfricaYoung Adult

Identifiers

PMID42481424
PMCPMC13455856

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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.