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Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016

The aim of this study was to identify sociodemographic factors associated with attrition in the 3 steps of the HIV continuum of care related to the 90-90-90 targets – access to diagnosis, treatment initiation, and virologic suppression, in Brazilian adults (15 years or older), in 2016. Programmatic...

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Autores principales: Pascom, Ana Roberta Pati, Meireles, Mariana Veloso, Benzaken, Adele Schwartz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991540/
https://www.ncbi.nlm.nih.gov/pubmed/29912818
http://dx.doi.org/10.1097/MD.0000000000009857
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author Pascom, Ana Roberta Pati
Meireles, Mariana Veloso
Benzaken, Adele Schwartz
author_facet Pascom, Ana Roberta Pati
Meireles, Mariana Veloso
Benzaken, Adele Schwartz
author_sort Pascom, Ana Roberta Pati
collection PubMed
description The aim of this study was to identify sociodemographic factors associated with attrition in the 3 steps of the HIV continuum of care related to the 90-90-90 targets – access to diagnosis, treatment initiation, and virologic suppression, in Brazilian adults (15 years or older), in 2016. Programmatic data were obtained from 2 information systems from the Brazilian Ministry of Health, which register all antiretroviral therapy (ART) dispensations and all CD4(+) and viral load counts (VL) performed within the country's public health system. The 3 attrition indicators were late presentation to care, defined as a first CD4 count <350 cells/mm(3) among ART-naive individuals who performed a first CD4(+) count in 2016; not being on ART, defined as having no recorded dispensation within the last 100 days of the year, among those who were linked to care in 2016; and not being virologically suppressed, defined as having the last recorded VL >200 copies/mL in 2016, among those with a recorded VL count who were on treatment for at least 6 months. Association of sociodemographic factors with these indicators was analyzed by unconditional logistic regression analysis. Lower educational level and black/brown/indigenous race/color were associated with worse outcomes in the 3 indicators. Environmental indicators, namely the region, size, and social vulnerability index of the municipality of residence, also played an important role in the models. Younger age was strongly associated with not being on ART and not showing virological suppression. Our findings help identify the barriers in the different stages of the HIV continuum of care, which need to be addressed in order to progress toward the achievement of the 90-90-90 targets.
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spelling pubmed-59915402018-06-15 Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016 Pascom, Ana Roberta Pati Meireles, Mariana Veloso Benzaken, Adele Schwartz Medicine (Baltimore) Research Article The aim of this study was to identify sociodemographic factors associated with attrition in the 3 steps of the HIV continuum of care related to the 90-90-90 targets – access to diagnosis, treatment initiation, and virologic suppression, in Brazilian adults (15 years or older), in 2016. Programmatic data were obtained from 2 information systems from the Brazilian Ministry of Health, which register all antiretroviral therapy (ART) dispensations and all CD4(+) and viral load counts (VL) performed within the country's public health system. The 3 attrition indicators were late presentation to care, defined as a first CD4 count <350 cells/mm(3) among ART-naive individuals who performed a first CD4(+) count in 2016; not being on ART, defined as having no recorded dispensation within the last 100 days of the year, among those who were linked to care in 2016; and not being virologically suppressed, defined as having the last recorded VL >200 copies/mL in 2016, among those with a recorded VL count who were on treatment for at least 6 months. Association of sociodemographic factors with these indicators was analyzed by unconditional logistic regression analysis. Lower educational level and black/brown/indigenous race/color were associated with worse outcomes in the 3 indicators. Environmental indicators, namely the region, size, and social vulnerability index of the municipality of residence, also played an important role in the models. Younger age was strongly associated with not being on ART and not showing virological suppression. Our findings help identify the barriers in the different stages of the HIV continuum of care, which need to be addressed in order to progress toward the achievement of the 90-90-90 targets. Wolters Kluwer Health 2018-05-25 /pmc/articles/PMC5991540/ /pubmed/29912818 http://dx.doi.org/10.1097/MD.0000000000009857 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle Research Article
Pascom, Ana Roberta Pati
Meireles, Mariana Veloso
Benzaken, Adele Schwartz
Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016
title Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016
title_full Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016
title_fullStr Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016
title_full_unstemmed Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016
title_short Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016
title_sort sociodemographic determinants of attrition in the hiv continuum of care in brazil, in 2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991540/
https://www.ncbi.nlm.nih.gov/pubmed/29912818
http://dx.doi.org/10.1097/MD.0000000000009857
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