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Geographic patterns of poor HIV/AIDS care continuum in District of Columbia

BACKGROUND: Concurrent with the UNAIDS 90-90-90 and NHAS plans, the District of Columbia (DC) launched its 90/90/90/50 plan (Plan) in 2015. The Plan proposes that by 2020, 90% of all DC residents will know their HIV status; 90% of residents living with HIV will be in sustained treatment; 90% of thos...

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Autores principales: Das, Suparna, Opoku, Jenevieve, Kharfen, Michael, Allston, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784661/
https://www.ncbi.nlm.nih.gov/pubmed/29368619
http://dx.doi.org/10.1186/s12981-018-0189-8
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author Das, Suparna
Opoku, Jenevieve
Kharfen, Michael
Allston, Adam
author_facet Das, Suparna
Opoku, Jenevieve
Kharfen, Michael
Allston, Adam
author_sort Das, Suparna
collection PubMed
description BACKGROUND: Concurrent with the UNAIDS 90-90-90 and NHAS plans, the District of Columbia (DC) launched its 90/90/90/50 plan (Plan) in 2015. The Plan proposes that by 2020, 90% of all DC residents will know their HIV status; 90% of residents living with HIV will be in sustained treatment; 90% of those in treatment will reach “Viral Suppression” and DC will achieve 50% reduction of new HIV cases. To achieve these goals targeted prevention strategies are imperative for areas where the relative risk (RR) of not being linked to care (NL), not retained in any care (NRC) and low viral suppression (NVSP) are highest in the District. These outcomes are denoted in this study as poor outcomes of HIV care continuum. This study applies the Bayesian model for RR for area specific random effects to identify the census tracts with poor HIV care continuum outcomes for DC. METHODS: This analysis was conducted using cases diagnosed from 2010 to 2015 and reported to the surveillance system from the District of Columbia Department of Health (DC DOH), HIV/AIDS, Hepatitis, STD and TB Administration. The jurisdictions of the District of Columbia is divided into 179 census tracts. It is challenging to plot sparse data in ‘small’ local administrative areas, characteristically which may have a single-count datum for each geographic area. Bayesian methods overcome this problem by assimilating prior information to the underlying RR, making the predicted RR estimates robust. RESULTS: The RR of NL is higher in 59 (33%) out of 179 census tracts in DC. The RR of NRC was high in 46 (26%) of the census tracts while 52 census tracts (29%) show a high risk of having NVSP among its residents. This study also identifies clear correlated heterogeneity or clustering is evident in the northern tracts of the district. CONCLUSION: The study finds census tracts with higher RR of poor linkage to care outcomes in the District. These results will inform the Plan which aims to increase targeted testing leading to early initiation of antiretroviral therapy. The uniqueness of this study lies in its translational scope where surveillance data can be used to inform local public health programs and enhance the quality of health for the people with HIV. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12981-018-0189-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-57846612018-02-07 Geographic patterns of poor HIV/AIDS care continuum in District of Columbia Das, Suparna Opoku, Jenevieve Kharfen, Michael Allston, Adam AIDS Res Ther Research BACKGROUND: Concurrent with the UNAIDS 90-90-90 and NHAS plans, the District of Columbia (DC) launched its 90/90/90/50 plan (Plan) in 2015. The Plan proposes that by 2020, 90% of all DC residents will know their HIV status; 90% of residents living with HIV will be in sustained treatment; 90% of those in treatment will reach “Viral Suppression” and DC will achieve 50% reduction of new HIV cases. To achieve these goals targeted prevention strategies are imperative for areas where the relative risk (RR) of not being linked to care (NL), not retained in any care (NRC) and low viral suppression (NVSP) are highest in the District. These outcomes are denoted in this study as poor outcomes of HIV care continuum. This study applies the Bayesian model for RR for area specific random effects to identify the census tracts with poor HIV care continuum outcomes for DC. METHODS: This analysis was conducted using cases diagnosed from 2010 to 2015 and reported to the surveillance system from the District of Columbia Department of Health (DC DOH), HIV/AIDS, Hepatitis, STD and TB Administration. The jurisdictions of the District of Columbia is divided into 179 census tracts. It is challenging to plot sparse data in ‘small’ local administrative areas, characteristically which may have a single-count datum for each geographic area. Bayesian methods overcome this problem by assimilating prior information to the underlying RR, making the predicted RR estimates robust. RESULTS: The RR of NL is higher in 59 (33%) out of 179 census tracts in DC. The RR of NRC was high in 46 (26%) of the census tracts while 52 census tracts (29%) show a high risk of having NVSP among its residents. This study also identifies clear correlated heterogeneity or clustering is evident in the northern tracts of the district. CONCLUSION: The study finds census tracts with higher RR of poor linkage to care outcomes in the District. These results will inform the Plan which aims to increase targeted testing leading to early initiation of antiretroviral therapy. The uniqueness of this study lies in its translational scope where surveillance data can be used to inform local public health programs and enhance the quality of health for the people with HIV. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12981-018-0189-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-24 /pmc/articles/PMC5784661/ /pubmed/29368619 http://dx.doi.org/10.1186/s12981-018-0189-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Das, Suparna
Opoku, Jenevieve
Kharfen, Michael
Allston, Adam
Geographic patterns of poor HIV/AIDS care continuum in District of Columbia
title Geographic patterns of poor HIV/AIDS care continuum in District of Columbia
title_full Geographic patterns of poor HIV/AIDS care continuum in District of Columbia
title_fullStr Geographic patterns of poor HIV/AIDS care continuum in District of Columbia
title_full_unstemmed Geographic patterns of poor HIV/AIDS care continuum in District of Columbia
title_short Geographic patterns of poor HIV/AIDS care continuum in District of Columbia
title_sort geographic patterns of poor hiv/aids care continuum in district of columbia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784661/
https://www.ncbi.nlm.nih.gov/pubmed/29368619
http://dx.doi.org/10.1186/s12981-018-0189-8
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