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National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis

BACKGROUND: Maximising the efficiency of national tuberculosis programmes is key to improving service coverage, outcomes, and progress towards End TB targets. We aimed to determine the overall efficiency of tuberculosis spending and investigate associated factors in 121 low-income and middle-income...

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Autores principales: Abou Jaoude, Gerard Joseph, Garcia Baena, Ines, Nguhiu, Peter, Siroka, Andrew, Palmer, Tom, Goscé, Lara, Allel, Kasim, Sinanovic, Edina, Skordis, Jolene, Haghparast-Bidgoli, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023749/
https://www.ncbi.nlm.nih.gov/pubmed/35427522
http://dx.doi.org/10.1016/S2214-109X(22)00085-7
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author Abou Jaoude, Gerard Joseph
Garcia Baena, Ines
Nguhiu, Peter
Siroka, Andrew
Palmer, Tom
Goscé, Lara
Allel, Kasim
Sinanovic, Edina
Skordis, Jolene
Haghparast-Bidgoli, Hassan
author_facet Abou Jaoude, Gerard Joseph
Garcia Baena, Ines
Nguhiu, Peter
Siroka, Andrew
Palmer, Tom
Goscé, Lara
Allel, Kasim
Sinanovic, Edina
Skordis, Jolene
Haghparast-Bidgoli, Hassan
author_sort Abou Jaoude, Gerard Joseph
collection PubMed
description BACKGROUND: Maximising the efficiency of national tuberculosis programmes is key to improving service coverage, outcomes, and progress towards End TB targets. We aimed to determine the overall efficiency of tuberculosis spending and investigate associated factors in 121 low-income and middle-income countries between 2010 and 2019. METHODS: In this data envelopment and stochastic frontier analysis, we used data from the WHO Global TB report series on tuberculosis spending as the input and treatment coverage as the output to estimate tuberculosis spending efficiency. We investigated associations between 25 independent variables and overall efficiency. FINDINGS: We estimated global tuberculosis spending efficiency to be between 73·8% (95% CI 71·2–76·3) and 87·7% (84·9–90·6) in 2019, depending on the analytical method used. This estimate suggests that existing global tuberculosis treatment coverage could be increased by between 12·3% (95% CI 9·4–15·1) and 26·2% (23·7–28·8) for the same amount of spending. Efficiency has improved over the study period, mainly since 2015, but a substantial difference of 70·7–72·1 percentage points between the most and least efficient countries still exists. We found a consistent significant association between efficiency and current health expenditure as a share of gross domestic product, out-of-pocket spending on health, and some Sustainable Development Goal (SDG) indicators such as universal health coverage. INTERPRETATION: To improve efficiency, treatment coverage will need to be increased, particularly in the least efficient contexts where this might require additional spending. However, progress towards global End TB targets is slow even in the most efficient countries. Variables associated with TB spending efficiency suggest efficiency is complimented by commitments to improving health-care access that is free at the point of use and wider progress towards the SDGs. These findings support calls for additional investment in tuberculosis care. FUNDING: None.
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spelling pubmed-90237492022-05-24 National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis Abou Jaoude, Gerard Joseph Garcia Baena, Ines Nguhiu, Peter Siroka, Andrew Palmer, Tom Goscé, Lara Allel, Kasim Sinanovic, Edina Skordis, Jolene Haghparast-Bidgoli, Hassan Lancet Glob Health Articles BACKGROUND: Maximising the efficiency of national tuberculosis programmes is key to improving service coverage, outcomes, and progress towards End TB targets. We aimed to determine the overall efficiency of tuberculosis spending and investigate associated factors in 121 low-income and middle-income countries between 2010 and 2019. METHODS: In this data envelopment and stochastic frontier analysis, we used data from the WHO Global TB report series on tuberculosis spending as the input and treatment coverage as the output to estimate tuberculosis spending efficiency. We investigated associations between 25 independent variables and overall efficiency. FINDINGS: We estimated global tuberculosis spending efficiency to be between 73·8% (95% CI 71·2–76·3) and 87·7% (84·9–90·6) in 2019, depending on the analytical method used. This estimate suggests that existing global tuberculosis treatment coverage could be increased by between 12·3% (95% CI 9·4–15·1) and 26·2% (23·7–28·8) for the same amount of spending. Efficiency has improved over the study period, mainly since 2015, but a substantial difference of 70·7–72·1 percentage points between the most and least efficient countries still exists. We found a consistent significant association between efficiency and current health expenditure as a share of gross domestic product, out-of-pocket spending on health, and some Sustainable Development Goal (SDG) indicators such as universal health coverage. INTERPRETATION: To improve efficiency, treatment coverage will need to be increased, particularly in the least efficient contexts where this might require additional spending. However, progress towards global End TB targets is slow even in the most efficient countries. Variables associated with TB spending efficiency suggest efficiency is complimented by commitments to improving health-care access that is free at the point of use and wider progress towards the SDGs. These findings support calls for additional investment in tuberculosis care. FUNDING: None. Elsevier Ltd 2022-04-12 /pmc/articles/PMC9023749/ /pubmed/35427522 http://dx.doi.org/10.1016/S2214-109X(22)00085-7 Text en © 2022 World Health Organization https://creativecommons.org/licenses/by/3.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Articles
Abou Jaoude, Gerard Joseph
Garcia Baena, Ines
Nguhiu, Peter
Siroka, Andrew
Palmer, Tom
Goscé, Lara
Allel, Kasim
Sinanovic, Edina
Skordis, Jolene
Haghparast-Bidgoli, Hassan
National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
title National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
title_full National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
title_fullStr National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
title_full_unstemmed National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
title_short National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
title_sort national tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023749/
https://www.ncbi.nlm.nih.gov/pubmed/35427522
http://dx.doi.org/10.1016/S2214-109X(22)00085-7
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