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Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model

BACKGROUND: India and many other high-burden countries have committed to providing universal access to high-quality diagnosis and drug susceptibility testing (DST) for tuberculosis (TB), but the most cost-effective approach to achieve this goal remains uncertain. Centralized testing at district-leve...

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Autores principales: Sohn, Hojoon, Kasaie, Parastu, Kendall, Emily, Gomez, Gabriela B., Vassall, Anna, Pai, Madhukar, Dowdy, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683370/
https://www.ncbi.nlm.nih.gov/pubmed/31382959
http://dx.doi.org/10.1186/s12916-019-1384-8
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author Sohn, Hojoon
Kasaie, Parastu
Kendall, Emily
Gomez, Gabriela B.
Vassall, Anna
Pai, Madhukar
Dowdy, David
author_facet Sohn, Hojoon
Kasaie, Parastu
Kendall, Emily
Gomez, Gabriela B.
Vassall, Anna
Pai, Madhukar
Dowdy, David
author_sort Sohn, Hojoon
collection PubMed
description BACKGROUND: India and many other high-burden countries have committed to providing universal access to high-quality diagnosis and drug susceptibility testing (DST) for tuberculosis (TB), but the most cost-effective approach to achieve this goal remains uncertain. Centralized testing at district-level hub facilities with a supporting sample transport network can generate economies of scale, but decentralization to the peripheral level may provide faster diagnosis and reduce losses to follow-up (LTFU). METHODS: We generated functions to evaluate the costs of centralized and decentralized molecular testing for tuberculosis with Xpert MTB/RIF (Xpert), a WHO-endorsed test which can be performed at centralized and decentralized levels. We merged the cost estimates with an agent-based simulation of TB transmission in a hypothetical representative region in India to assess the impact and cost-effectiveness of each strategy. RESULTS: Compared against centralized Xpert testing, decentralization was most favorable when testing volume at decentralized facilities and pre-treatment LTFU were high, and specimen transport network was exclusively established for TB. Assuming equal quality of centralized and decentralized testing, decentralization was cost-saving, saving a median $338,000 (interquartile simulation range [IQR] − $222,000; $889,000) per 20 million people over 10 years, in the most cost-favorable scenario. In the most cost-unfavorable scenario, decentralized testing would cost a median $3161 [IQR $2412; $4731] per disability-adjusted life year averted relative to centralized testing. CONCLUSIONS: Decentralization of Xpert testing is likely to be cost-saving or cost-effective in most settings to which these simulation results might generalize. More decentralized testing is more cost-effective in settings with moderate-to-high peripheral testing volumes, high existing clinical LTFU, inability to share specimen transport costs with other disease entities, and ability to ensure high-quality peripheral Xpert testing. Decision-makers should assess these factors when deciding whether to decentralize molecular testing for tuberculosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1384-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-66833702019-08-09 Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model Sohn, Hojoon Kasaie, Parastu Kendall, Emily Gomez, Gabriela B. Vassall, Anna Pai, Madhukar Dowdy, David BMC Med Research Article BACKGROUND: India and many other high-burden countries have committed to providing universal access to high-quality diagnosis and drug susceptibility testing (DST) for tuberculosis (TB), but the most cost-effective approach to achieve this goal remains uncertain. Centralized testing at district-level hub facilities with a supporting sample transport network can generate economies of scale, but decentralization to the peripheral level may provide faster diagnosis and reduce losses to follow-up (LTFU). METHODS: We generated functions to evaluate the costs of centralized and decentralized molecular testing for tuberculosis with Xpert MTB/RIF (Xpert), a WHO-endorsed test which can be performed at centralized and decentralized levels. We merged the cost estimates with an agent-based simulation of TB transmission in a hypothetical representative region in India to assess the impact and cost-effectiveness of each strategy. RESULTS: Compared against centralized Xpert testing, decentralization was most favorable when testing volume at decentralized facilities and pre-treatment LTFU were high, and specimen transport network was exclusively established for TB. Assuming equal quality of centralized and decentralized testing, decentralization was cost-saving, saving a median $338,000 (interquartile simulation range [IQR] − $222,000; $889,000) per 20 million people over 10 years, in the most cost-favorable scenario. In the most cost-unfavorable scenario, decentralized testing would cost a median $3161 [IQR $2412; $4731] per disability-adjusted life year averted relative to centralized testing. CONCLUSIONS: Decentralization of Xpert testing is likely to be cost-saving or cost-effective in most settings to which these simulation results might generalize. More decentralized testing is more cost-effective in settings with moderate-to-high peripheral testing volumes, high existing clinical LTFU, inability to share specimen transport costs with other disease entities, and ability to ensure high-quality peripheral Xpert testing. Decision-makers should assess these factors when deciding whether to decentralize molecular testing for tuberculosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1384-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-06 /pmc/articles/PMC6683370/ /pubmed/31382959 http://dx.doi.org/10.1186/s12916-019-1384-8 Text en © The Author(s). 2019 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
Sohn, Hojoon
Kasaie, Parastu
Kendall, Emily
Gomez, Gabriela B.
Vassall, Anna
Pai, Madhukar
Dowdy, David
Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
title Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
title_full Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
title_fullStr Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
title_full_unstemmed Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
title_short Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
title_sort informing decision-making for universal access to quality tuberculosis diagnosis in india: an economic-epidemiological model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683370/
https://www.ncbi.nlm.nih.gov/pubmed/31382959
http://dx.doi.org/10.1186/s12916-019-1384-8
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