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Mortality along the continuum of HIV care in Rwanda: a model-based analysis

BACKGROUND: HIV is the leading cause of death among adults in sub-Saharan Africa. However, mortality along the HIV care continuum is poorly described. We combine demographic, epidemiologic, and health services data to estimate where are people with HIV dying along Rwanda’s care continuum. METHODS: W...

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Autores principales: Bendavid, Eran, Stauffer, David, Remera, Eric, Nsanzimana, Sabin, Kanters, Steve, Mills, Edward J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134104/
https://www.ncbi.nlm.nih.gov/pubmed/27905895
http://dx.doi.org/10.1186/s12879-016-2052-7
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author Bendavid, Eran
Stauffer, David
Remera, Eric
Nsanzimana, Sabin
Kanters, Steve
Mills, Edward J.
author_facet Bendavid, Eran
Stauffer, David
Remera, Eric
Nsanzimana, Sabin
Kanters, Steve
Mills, Edward J.
author_sort Bendavid, Eran
collection PubMed
description BACKGROUND: HIV is the leading cause of death among adults in sub-Saharan Africa. However, mortality along the HIV care continuum is poorly described. We combine demographic, epidemiologic, and health services data to estimate where are people with HIV dying along Rwanda’s care continuum. METHODS: We calibrated an age-structured HIV disease and transmission stochastic simulation model to the epidemic in Rwanda. We estimate mortality among HIV-infected individuals in the following states: untested, tested without establishing care in an antiretroviral therapy (ART) program (unlinked), in care before initiating ART (pre-ART), lost to follow-up (LTFU) following ART initiation, and retained in active ART care. We estimated mortality among people living with HIV in Rwanda through 2025 under current conditions, and with improvements to the HIV care continuum. RESULTS: In 2014, the greatest portion of deaths occurred among those untested (35.4%), followed by those on ART (34.1%), reflecting the large increase in the population on ART. Deaths among those LTFU made up 11.8% of all deaths among HIV-infected individuals in 2014, and in the base case this portion increased to 18.8% in 2025, while the contribution to mortality declined among those untested, unlinked, and in pre-ART. In our model only combined improvements to multiple aspects of the HIV care continuum were projected to reduce the total number of deaths among those with HIV, estimated at 8177 in 2014, rising to 10,659 in the base case, and declining to 5,691 with combined improvements in 2025. CONCLUSION: Mortality among those untested for HIV contributes a declining portion of deaths among HIV-infected individuals in Rwanda, but the portion of deaths among those LTFU is expected to increase the most over the next decade. Combined improvements to the HIV care continuum might be needed to reduce the number of deaths among those with HIV. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-2052-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-51341042016-12-15 Mortality along the continuum of HIV care in Rwanda: a model-based analysis Bendavid, Eran Stauffer, David Remera, Eric Nsanzimana, Sabin Kanters, Steve Mills, Edward J. BMC Infect Dis Research Article BACKGROUND: HIV is the leading cause of death among adults in sub-Saharan Africa. However, mortality along the HIV care continuum is poorly described. We combine demographic, epidemiologic, and health services data to estimate where are people with HIV dying along Rwanda’s care continuum. METHODS: We calibrated an age-structured HIV disease and transmission stochastic simulation model to the epidemic in Rwanda. We estimate mortality among HIV-infected individuals in the following states: untested, tested without establishing care in an antiretroviral therapy (ART) program (unlinked), in care before initiating ART (pre-ART), lost to follow-up (LTFU) following ART initiation, and retained in active ART care. We estimated mortality among people living with HIV in Rwanda through 2025 under current conditions, and with improvements to the HIV care continuum. RESULTS: In 2014, the greatest portion of deaths occurred among those untested (35.4%), followed by those on ART (34.1%), reflecting the large increase in the population on ART. Deaths among those LTFU made up 11.8% of all deaths among HIV-infected individuals in 2014, and in the base case this portion increased to 18.8% in 2025, while the contribution to mortality declined among those untested, unlinked, and in pre-ART. In our model only combined improvements to multiple aspects of the HIV care continuum were projected to reduce the total number of deaths among those with HIV, estimated at 8177 in 2014, rising to 10,659 in the base case, and declining to 5,691 with combined improvements in 2025. CONCLUSION: Mortality among those untested for HIV contributes a declining portion of deaths among HIV-infected individuals in Rwanda, but the portion of deaths among those LTFU is expected to increase the most over the next decade. Combined improvements to the HIV care continuum might be needed to reduce the number of deaths among those with HIV. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-2052-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-01 /pmc/articles/PMC5134104/ /pubmed/27905895 http://dx.doi.org/10.1186/s12879-016-2052-7 Text en © The Author(s). 2016 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 Article
Bendavid, Eran
Stauffer, David
Remera, Eric
Nsanzimana, Sabin
Kanters, Steve
Mills, Edward J.
Mortality along the continuum of HIV care in Rwanda: a model-based analysis
title Mortality along the continuum of HIV care in Rwanda: a model-based analysis
title_full Mortality along the continuum of HIV care in Rwanda: a model-based analysis
title_fullStr Mortality along the continuum of HIV care in Rwanda: a model-based analysis
title_full_unstemmed Mortality along the continuum of HIV care in Rwanda: a model-based analysis
title_short Mortality along the continuum of HIV care in Rwanda: a model-based analysis
title_sort mortality along the continuum of hiv care in rwanda: a model-based analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134104/
https://www.ncbi.nlm.nih.gov/pubmed/27905895
http://dx.doi.org/10.1186/s12879-016-2052-7
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