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Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness

Although many African countries have achieved high levels of HIV diagnosis, funding constraints have necessitated greater focus on more efficient testing approaches. We compared the impact and cost-effectiveness of several potential new testing strategies in South Africa, and assessed the prospects...

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Autores principales: Johnson, Leigh F., van Rensburg, Craig, Govathson, Caroline, Meyer-Rath, Gesine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718403/
https://www.ncbi.nlm.nih.gov/pubmed/31477764
http://dx.doi.org/10.1038/s41598-019-49109-w
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author Johnson, Leigh F.
van Rensburg, Craig
Govathson, Caroline
Meyer-Rath, Gesine
author_facet Johnson, Leigh F.
van Rensburg, Craig
Govathson, Caroline
Meyer-Rath, Gesine
author_sort Johnson, Leigh F.
collection PubMed
description Although many African countries have achieved high levels of HIV diagnosis, funding constraints have necessitated greater focus on more efficient testing approaches. We compared the impact and cost-effectiveness of several potential new testing strategies in South Africa, and assessed the prospects of achieving the UNAIDS target of 95% of HIV-positive adults diagnosed by 2030. We developed a mathematical model to evaluate the potential impact of home-based testing, mobile testing, assisted partner notification, testing in schools and workplaces, and testing of female sex workers (FSWs), men who have sex with men (MSM), family planning clinic attenders and partners of pregnant women. In the absence of new testing strategies, the diagnosed fraction is expected to increase from 90.6% in 2020 to 93.8% by 2030. Home-based testing combined with self-testing would have the greatest impact, increasing the fraction diagnosed to 96.5% by 2030, and would be highly cost-effective compared to currently funded HIV interventions, with a cost per life year saved (LYS) of $394. Testing in FSWs and assisted partner notification would be cost-saving; the cost per LYS would also be low in the case of testing MSM ($20/LYS) and self-testing by partners of pregnant women ($130/LYS).
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spelling pubmed-67184032019-09-17 Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness Johnson, Leigh F. van Rensburg, Craig Govathson, Caroline Meyer-Rath, Gesine Sci Rep Article Although many African countries have achieved high levels of HIV diagnosis, funding constraints have necessitated greater focus on more efficient testing approaches. We compared the impact and cost-effectiveness of several potential new testing strategies in South Africa, and assessed the prospects of achieving the UNAIDS target of 95% of HIV-positive adults diagnosed by 2030. We developed a mathematical model to evaluate the potential impact of home-based testing, mobile testing, assisted partner notification, testing in schools and workplaces, and testing of female sex workers (FSWs), men who have sex with men (MSM), family planning clinic attenders and partners of pregnant women. In the absence of new testing strategies, the diagnosed fraction is expected to increase from 90.6% in 2020 to 93.8% by 2030. Home-based testing combined with self-testing would have the greatest impact, increasing the fraction diagnosed to 96.5% by 2030, and would be highly cost-effective compared to currently funded HIV interventions, with a cost per life year saved (LYS) of $394. Testing in FSWs and assisted partner notification would be cost-saving; the cost per LYS would also be low in the case of testing MSM ($20/LYS) and self-testing by partners of pregnant women ($130/LYS). Nature Publishing Group UK 2019-09-02 /pmc/articles/PMC6718403/ /pubmed/31477764 http://dx.doi.org/10.1038/s41598-019-49109-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Johnson, Leigh F.
van Rensburg, Craig
Govathson, Caroline
Meyer-Rath, Gesine
Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness
title Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness
title_full Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness
title_fullStr Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness
title_full_unstemmed Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness
title_short Optimal HIV testing strategies for South Africa: a model-based evaluation of population-level impact and cost-effectiveness
title_sort optimal hiv testing strategies for south africa: a model-based evaluation of population-level impact and cost-effectiveness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718403/
https://www.ncbi.nlm.nih.gov/pubmed/31477764
http://dx.doi.org/10.1038/s41598-019-49109-w
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