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The cost effectiveness and optimal configuration of HIV self-test distribution in South Africa: a model analysis.
Jamieson, Lise; Johnson, Leigh F; Matsimela, Katleho; Sande, Linda Alinafe; d'Elbée, Marc; Majam, Mohammed; Johnson, Cheryl; Chidarikire, Thato; Hatzold, Karin; Terris-Prestholt, Fern; Nichols, Brooke; Meyer-Rath, Gesine.
  • Jamieson L; Department of Internal Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa ljamieson@heroza.org.
  • Johnson LF; Centre of Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Rondebosch, Western Cape, South Africa.
  • Matsimela K; Department of Internal Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa.
  • Sande LA; Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
  • d'Elbée M; Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
  • Majam M; Ezintsha, University of the Witwatersrand, Johannesburg-Braamfontein, South Africa.
  • Johnson C; Global HIV, Hepatitis, STI programmes, World Health Organization, Geneve, Switzerland.
  • Chidarikire T; HIV Prevention Programmes, National Department of Health, Pretoria, South Africa, Pretoria, South Africa.
  • Hatzold K; Population Services International, Johannesburg, South Africa.
  • Terris-Prestholt F; Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
  • Nichols B; Joint United Nations Programme on HIV/AIDS (UNAIDS), Geneve, Switzerland.
  • Meyer-Rath G; Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, USA.
BMJ Glob Health ; 6(Suppl 4)2021 07.
Article in English | MEDLINE | ID: covidwho-1476481
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Self-Testing Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Female / Humans / Pregnancy Country/Region as subject: Africa Language: English Year: 2021 Document Type: Article Affiliation country: Bmjgh-2021-005598

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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Self-Testing Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Female / Humans / Pregnancy Country/Region as subject: Africa Language: English Year: 2021 Document Type: Article Affiliation country: Bmjgh-2021-005598