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Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data

BACKGROUND: Persons with disability may have a higher HIV prevalence and be less likely than persons without disability to know their HIV-positive status, access antiretroviral therapy (ART), and suppress their HIV viral load (HIV care cascade). However, studies examining differences between persons...

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Autores principales: Chipanta, David, Mitra, Sophie, Amo-Agyei, Silas, Velarde, Minerva Rivas, Amekudzi, Kofi, Osborne, Connie, Estill, Janne, Keiser, Olivia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601322/
https://www.ncbi.nlm.nih.gov/pubmed/37880641
http://dx.doi.org/10.1186/s12889-023-17013-8
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author Chipanta, David
Mitra, Sophie
Amo-Agyei, Silas
Velarde, Minerva Rivas
Amekudzi, Kofi
Osborne, Connie
Estill, Janne
Keiser, Olivia
author_facet Chipanta, David
Mitra, Sophie
Amo-Agyei, Silas
Velarde, Minerva Rivas
Amekudzi, Kofi
Osborne, Connie
Estill, Janne
Keiser, Olivia
author_sort Chipanta, David
collection PubMed
description BACKGROUND: Persons with disability may have a higher HIV prevalence and be less likely than persons without disability to know their HIV-positive status, access antiretroviral therapy (ART), and suppress their HIV viral load (HIV care cascade). However, studies examining differences between persons with and without disability in HIV prevalence and the HIV care cascade are lacking. Using the Tanzania HIV Impact Survey (THIS) data collected between October 2016 and August 2017, we assessed differences in HIV prevalence and progress towards achieving the 2020 HIV care cascade target between persons with and without disability. METHODS: Using the Washington Group Short Set (WG-SS) Questions on Disability, we defined disability as having a functional difficulty in any of the six life domains (seeing, hearing, walking/climbing, remembering/ concentrating, self-care, and communicating). We classified respondents as disabled if they responded having either “Some Difficulty”, “A lot of difficulties” or “Unable to” in any of the WG-SS Questions. We presented the sample characteristics by disability status and analyzed the achievement of the cascade target by disability status, and sex. We used multivariable logistic regressions, and adjusted for age, sex, rural-urban residence, education, and wealth quintile. RESULTS: A total of 31,579 respondents aged 15 years and older had HIV test results. Of these 1,831 tested HIV-positive, corresponding to an estimated HIV prevalence of 4.9% (CI: 4.5 — 5.2%) among the adult population in Tanzania. The median age of respondents who tested HIV-positive was 32 years (with IQR of 21—45 years). HIV prevalence was higher (5.7%, 95% CI: 5.3—7.4%) among persons with disability than persons without disability (4.3%, 95% CI: 4.0 — 4.6%). Before adjustment, compared to women without disability, more women with disability were aware of their HIV-positive status (n = 101, 79.0%, 95% CI: 68.0—87.0% versus n = 703, 63.0%, 95% CI: 59.1—66.7%) and accessed ART more frequently (n = 98, 98.7%, 95% CI: 95.3—99.7% versus n = 661, 94.7%, 95% CI: 92.6—96.3%). After adjusting for socio-demographic characteristics, the odds of having HIV and of accessing ART did not differ between persons with and without disability. However, PLHIV with disability had higher odds of being aware of their HIV-positive status (aOR 1.69, 95% 1.05—2.71) than PLHIV without disability. Men living with HIV and with disability had lower odds (aOR = 0.23, 95% CI: 0.06—0.86) to suppress HIV viral loads than their counterparts without disability. CONCLUSION: We found no significant differences in the odds of having HIV and of accessing ART between persons with and without disability in Tanzania. While PLHIV and disability, were often aware of their HIV-positive status than their non-disabled counterparts, men living with HIV and with disability may have been disadvantaged in having suppressed HIV viral loads. These differences are correctable with disability-inclusive HIV programming. HIV surveys around the world should include questions on disability to measure potential differences in HIV prevalence and in attaining the 2025 HIV care cascade target between persons with and without disability. SUPPLEMENTARY INFORMATION (NOTE FOR CORRECTION: PLEASE REPLACE THE TITLES OF THE SUPPLIMENTARY TABLES AS INDICATED IN THE SECTION FOR SUPPLIMINTARY FORM): The online version contains supplementary material available at 10.1186/s12889-023-17013-8.
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spelling pubmed-106013222023-10-27 Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data Chipanta, David Mitra, Sophie Amo-Agyei, Silas Velarde, Minerva Rivas Amekudzi, Kofi Osborne, Connie Estill, Janne Keiser, Olivia BMC Public Health Research BACKGROUND: Persons with disability may have a higher HIV prevalence and be less likely than persons without disability to know their HIV-positive status, access antiretroviral therapy (ART), and suppress their HIV viral load (HIV care cascade). However, studies examining differences between persons with and without disability in HIV prevalence and the HIV care cascade are lacking. Using the Tanzania HIV Impact Survey (THIS) data collected between October 2016 and August 2017, we assessed differences in HIV prevalence and progress towards achieving the 2020 HIV care cascade target between persons with and without disability. METHODS: Using the Washington Group Short Set (WG-SS) Questions on Disability, we defined disability as having a functional difficulty in any of the six life domains (seeing, hearing, walking/climbing, remembering/ concentrating, self-care, and communicating). We classified respondents as disabled if they responded having either “Some Difficulty”, “A lot of difficulties” or “Unable to” in any of the WG-SS Questions. We presented the sample characteristics by disability status and analyzed the achievement of the cascade target by disability status, and sex. We used multivariable logistic regressions, and adjusted for age, sex, rural-urban residence, education, and wealth quintile. RESULTS: A total of 31,579 respondents aged 15 years and older had HIV test results. Of these 1,831 tested HIV-positive, corresponding to an estimated HIV prevalence of 4.9% (CI: 4.5 — 5.2%) among the adult population in Tanzania. The median age of respondents who tested HIV-positive was 32 years (with IQR of 21—45 years). HIV prevalence was higher (5.7%, 95% CI: 5.3—7.4%) among persons with disability than persons without disability (4.3%, 95% CI: 4.0 — 4.6%). Before adjustment, compared to women without disability, more women with disability were aware of their HIV-positive status (n = 101, 79.0%, 95% CI: 68.0—87.0% versus n = 703, 63.0%, 95% CI: 59.1—66.7%) and accessed ART more frequently (n = 98, 98.7%, 95% CI: 95.3—99.7% versus n = 661, 94.7%, 95% CI: 92.6—96.3%). After adjusting for socio-demographic characteristics, the odds of having HIV and of accessing ART did not differ between persons with and without disability. However, PLHIV with disability had higher odds of being aware of their HIV-positive status (aOR 1.69, 95% 1.05—2.71) than PLHIV without disability. Men living with HIV and with disability had lower odds (aOR = 0.23, 95% CI: 0.06—0.86) to suppress HIV viral loads than their counterparts without disability. CONCLUSION: We found no significant differences in the odds of having HIV and of accessing ART between persons with and without disability in Tanzania. While PLHIV and disability, were often aware of their HIV-positive status than their non-disabled counterparts, men living with HIV and with disability may have been disadvantaged in having suppressed HIV viral loads. These differences are correctable with disability-inclusive HIV programming. HIV surveys around the world should include questions on disability to measure potential differences in HIV prevalence and in attaining the 2025 HIV care cascade target between persons with and without disability. SUPPLEMENTARY INFORMATION (NOTE FOR CORRECTION: PLEASE REPLACE THE TITLES OF THE SUPPLIMENTARY TABLES AS INDICATED IN THE SECTION FOR SUPPLIMINTARY FORM): The online version contains supplementary material available at 10.1186/s12889-023-17013-8. BioMed Central 2023-10-25 /pmc/articles/PMC10601322/ /pubmed/37880641 http://dx.doi.org/10.1186/s12889-023-17013-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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
Chipanta, David
Mitra, Sophie
Amo-Agyei, Silas
Velarde, Minerva Rivas
Amekudzi, Kofi
Osborne, Connie
Estill, Janne
Keiser, Olivia
Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data
title Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data
title_full Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data
title_fullStr Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data
title_full_unstemmed Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data
title_short Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data
title_sort differences between persons with and without disability in hiv prevalence, testing, treatment, and care cascade in tanzania: a cross-sectional study using population-based data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601322/
https://www.ncbi.nlm.nih.gov/pubmed/37880641
http://dx.doi.org/10.1186/s12889-023-17013-8
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