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The cost effectiveness and optimal configuration of HIV self-test distribution in South Africa

A model analysis

Bibliographic Data

ID21879381
AuthorsLise Jamieson (0000-0003-2354-4580, University of the Witwatersrand, corresponding author), Leigh F Johnson (0000-0002-2717-011X, University of Cape Town), Katleho Matsimela (University of the Witwatersrand), Linda Alinafe Sande (0000-0002-4246-5338, London School of Hygiene & Tropical Medicine), Marc d’Elbée (0000-0002-8827-019X, London School of Hygiene & Tropical Medicine), Mohammed Majam (0000-0003-0302-5353, University of the Witwatersrand), Cheryl Johnson (0000-0001-5499-5523, World Health Organization), Thato Chidarikire (0000-0002-2785-7640, Department of Health), Karin Hatzold (0000-0002-5117-3732, ISS International (South Africa)), Fern Terris-Prestholt (0000-0003-1693-5196, Joint United Nations Programme on HIV/AIDS), Brooke E Nichols (0000-0003-4682-4999, Boston University), Brooke Nichols (Boston University), Gesine Meyer‐Rath (0000-0003-0439-381X, Boston University), Gesine Meyer-Rath (Boston University)
Year2021
Volume6
IssueSuppl 4
Pagese005598
Publication date2021-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2021-005598
PMID34275876
OpenAlexW3185656771
LanguageEN
Citations received3
References cited17

BACKGROUND: HIV self-testing (HIVST) has been shown to be acceptable, feasible and effective in increasing HIV testing uptake. Novel testing strategies are critical to achieving the UNAIDS target of 95% HIV-positive diagnosis by 2025 in South Africa and globally. METHODS: We modelled the impact of six HIVST kit distribution modalities (community fixed-point, taxi ranks, workplace, partners of primary healthcare (PHC) antiretroviral therapy (ART) patients), partners of pregnant women, primary PHC distribution) in South Africa over 20 years (2020-2039), using data collected alongside the Self-Testing AfRica Initiative. We modelled two annual distribution scenarios: (A) 1 million HIVST kits (current) or (B) up to 6.7 million kits. Incremental economic costs (2019 US$) were estimated from the provider perspective; assumptions on uptake and screening positivity were based on surveys of a subset of kit recipients and modelled using the Thembisa model. Cost-effectiveness of each distribution modality compared with the status-quo distribution configuration was estimated as cost per life year saved (estimated from life years lost due to AIDS) and optimised using a fractional factorial design. RESULTS: The largest impact resulted from secondary HIVST distribution to partners of ART patients at PHC (life years saved (LYS): 119 000 (scenario A); 393 000 (scenario B)). However, it was one of the least cost-effective modalities (A: $1394/LYS; B: $4162/LYS). Workplace distribution was cost-saving ($52-$76 million) and predicted to have a moderate epidemic impact (A: 40 000 LYS; B: 156 000 LYS). An optimised scale-up to 6.7 million tests would result in an almost threefold increase in LYS compared with a scale-up of status-quo distribution (216 000 vs 75 000 LYS). CONCLUSION: Optimisation-informed distribution has the potential to vastly improve the impact of HIVST. Using this approach, HIVST can play a key role in improving the long-term health impact of investment in HIVST

Environmental health · Family medicine · Modalities · Operations management · Political science · Sociology · Status quo · Demography · Engineering · HIV Research and Treatment · HIV/AIDS drug development and treatment · HIV/AIDS Research and Interventions · Mathematics · Medicine

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    Open Access•Christopher J L Murray, Christopher JL Murray et al.•The Lancet•1997

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    Open Access•Katleho Matsimela, Linda Sande et al.•BMJ Global Health•2021

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Unique citing works3
Citations per year0,6
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3
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