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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6683370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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