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Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey
BACKGROUND: The first 90 of UNAIDS 90–90–90 targets to have 90% of the people living with HIV know their status is an important entry point to the HIV treatment cascade and care continuum, but evidence shows that there is a large gap between males and females in this regard. It is therefore importan...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080360/ https://www.ncbi.nlm.nih.gov/pubmed/33910592 http://dx.doi.org/10.1186/s12981-021-00346-y |
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author | Jooste, S. Mabaso, M. Taylor, M. North, A. Shean, Y. L. Simbayi, L. C. |
author_facet | Jooste, S. Mabaso, M. Taylor, M. North, A. Shean, Y. L. Simbayi, L. C. |
author_sort | Jooste, S. |
collection | PubMed |
description | BACKGROUND: The first 90 of UNAIDS 90–90–90 targets to have 90% of the people living with HIV know their status is an important entry point to the HIV treatment cascade and care continuum, but evidence shows that there is a large gap between males and females in this regard. It is therefore important to understand barriers and facilitators of achieving the first 90 target. This study examined determinants of the first 90 target among females and males in order to inform strategies aimed at improving the HIV cascade in South Africa. METHODS: The data used in the analysis were obtained from a 2017 household-based cross-sectional nationally representative survey conducted using a multi-stage stratified cluster random sampling design. A series of hierarchical multiple logistic regression models were fitted to identify the determinants of the first 90 target by gender. RESULTS: Overall, 84.8% of HIV-positive individuals aged 15 years and older were aware of their HIV status. Females were significantly more aware of their HIV status compared to males (88.7% vs 78.2%, p < 0.001). Both females aged 25 to 49 years [aOR = 3.20 (95% CI 1.35–7.57), p = 0.008], and 50 years and older [aOR = 3.19 (95% CI 1.04–9.76), p = 0.042] and males aged 25 to 49 years [aOR = 3.00 (95% CI 1.13–7.97), p = 0.028], and 50 years and older [aOR = 7.25 (95% CI 2.07–25.36), p = 0.002] were significantly more likely to know their HIV status compared to those aged 15 to 19 years. Males with tertiary education level were significantly more likely to be aware of their HIV positive status [aOR = 75.24 (95% CI 9.07–624.26), p < 0.001] compared to those with no education or with primary level education. Females with secondary [aOR = 3.28 (95% CI 1.20–8.99), p = 0.021] and matric [aOR = 4.35 (95% CI 1.54–12.37), p = 0.006] educational levels were significantly more likely to be aware of their HIV positive status, compared to those with no education or with primary level education. CONCLUSION: Significant progress has been made with regards to reaching the UNAIDS first 90 target. In this context achieving the first 90 target is feasible but there is a need for additional interventions to reach the males especially youth including those with no education or low levels of education. |
format | Online Article Text |
id | pubmed-8080360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80803602021-04-29 Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey Jooste, S. Mabaso, M. Taylor, M. North, A. Shean, Y. L. Simbayi, L. C. AIDS Res Ther Research BACKGROUND: The first 90 of UNAIDS 90–90–90 targets to have 90% of the people living with HIV know their status is an important entry point to the HIV treatment cascade and care continuum, but evidence shows that there is a large gap between males and females in this regard. It is therefore important to understand barriers and facilitators of achieving the first 90 target. This study examined determinants of the first 90 target among females and males in order to inform strategies aimed at improving the HIV cascade in South Africa. METHODS: The data used in the analysis were obtained from a 2017 household-based cross-sectional nationally representative survey conducted using a multi-stage stratified cluster random sampling design. A series of hierarchical multiple logistic regression models were fitted to identify the determinants of the first 90 target by gender. RESULTS: Overall, 84.8% of HIV-positive individuals aged 15 years and older were aware of their HIV status. Females were significantly more aware of their HIV status compared to males (88.7% vs 78.2%, p < 0.001). Both females aged 25 to 49 years [aOR = 3.20 (95% CI 1.35–7.57), p = 0.008], and 50 years and older [aOR = 3.19 (95% CI 1.04–9.76), p = 0.042] and males aged 25 to 49 years [aOR = 3.00 (95% CI 1.13–7.97), p = 0.028], and 50 years and older [aOR = 7.25 (95% CI 2.07–25.36), p = 0.002] were significantly more likely to know their HIV status compared to those aged 15 to 19 years. Males with tertiary education level were significantly more likely to be aware of their HIV positive status [aOR = 75.24 (95% CI 9.07–624.26), p < 0.001] compared to those with no education or with primary level education. Females with secondary [aOR = 3.28 (95% CI 1.20–8.99), p = 0.021] and matric [aOR = 4.35 (95% CI 1.54–12.37), p = 0.006] educational levels were significantly more likely to be aware of their HIV positive status, compared to those with no education or with primary level education. CONCLUSION: Significant progress has been made with regards to reaching the UNAIDS first 90 target. In this context achieving the first 90 target is feasible but there is a need for additional interventions to reach the males especially youth including those with no education or low levels of education. BioMed Central 2021-04-28 /pmc/articles/PMC8080360/ /pubmed/33910592 http://dx.doi.org/10.1186/s12981-021-00346-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jooste, S. Mabaso, M. Taylor, M. North, A. Shean, Y. L. Simbayi, L. C. Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey |
title | Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey |
title_full | Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey |
title_fullStr | Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey |
title_full_unstemmed | Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey |
title_short | Determinants of gender disparities in scaling up the first 90 towards the UNAIDS 90–90–90 targets in South Africa: findings from the 2017 household-based national cross-sectional survey |
title_sort | determinants of gender disparities in scaling up the first 90 towards the unaids 90–90–90 targets in south africa: findings from the 2017 household-based national cross-sectional survey |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080360/ https://www.ncbi.nlm.nih.gov/pubmed/33910592 http://dx.doi.org/10.1186/s12981-021-00346-y |
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