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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

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          Summary

          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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          Most cited references30

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          Measuring the efficiency of decision making units

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            Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis

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              The Measurement of Productive Efficiency

              M Farrell (1957)
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                Author and article information

                Contributors
                Journal
                Lancet Glob Health
                Lancet Glob Health
                The Lancet. Global Health
                Elsevier Ltd
                2214-109X
                12 April 2022
                May 2022
                12 April 2022
                : 10
                : 5
                : e649-e660
                Affiliations
                [a ]Institute for Global Health, University College London, London, UK
                [b ]World Health Organization, Geneva, Switzerland
                [c ]Kenya Medical Research Institute (KEMRI) Wellcome Trust, Nairobi, Kenya
                [d ]Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
                [e ]Health Economics Unit, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
                Author notes
                [* ]Correspondence to: Mr Gerard Joseph Abou Jaoude, Institute for Global Health, University College London, London WC1N 1EH, UK gerard.jaoude.15@ 123456ucl.ac.uk
                Article
                S2214-109X(22)00085-7
                10.1016/S2214-109X(22)00085-7
                9023749
                35427522
                cb902e07-30ad-48d2-a76c-4e212f368d4d
                © 2022 World Health Organization

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

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