Evidence map›Paper›PMID 42568929›Full record

ArticleBMJ public health2026

Temporal trends and associations between domestic public health spending, donor funding and tuberculosis outcomes in Africa: a serial cross-sectional study (1990-2022).

Charles Limula, Daniel Atta-Nyarko, Ebenezer Gyamfi, Rostand Dimitri Messanga Bessala, Naomi Adotei, Faustina Ameyaa Marfo, Ahmed Farhan Abubakr, Austin Gideon Adobasom-Anane, Richmond Nketia

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Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Charles LimulaDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0009-0000-8913-6251
Daniel Atta-NyarkoDepartment of Global Health Policy and Development, National Centre for Coordination of Early Warning and Response Mechanism, Accra, Ghana.ORCID https://orcid.org/0000-0001-9617-5435
Ebenezer GyamfiDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0009-0005-5837-8553
Rostand Dimitri Messanga BessalaDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0009-0005-6214-8689
Naomi AdoteiDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0009-0000-6480-6618
Faustina Ameyaa MarfoDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0009-0001-0497-3606
Ahmed Farhan AbubakrDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0009-0006-2110-9728
Austin Gideon Adobasom-AnaneDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0000-0003-4936-4078
Richmond NketiaDepartment of Research and Data Analytics, Sub-Saharan Africa Research for Sustainable Development Project, Berekum, Bono Region, Ghana.ORCID https://orcid.org/0000-0001-6673-147X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Using vital historical data, we modelled tuberculosis (TB) incidence and mortality rates across different scenarios of United States government's (US) development assistance for health (DAH), domestic general government health spending (GHES) and non-US donor funding to determine how changes in these funding would affect TB incidence and mortality in Africa. Methods: A serial cross-sectional ecological analysis was conducted using a panel dataset covering the period from 1990 to 2022 for all 54 African countries. The dataset included age-standardised TB incidence and mortality rates, source-specific DAH and other socioeconomic variables. Mixed-effects tests were performed to assess associations among US DAH, other healthcare funding and TB outcomes. Results: Total annual TB-specific DAH in Africa increased from US$4.4 million in 1990 to US$168.7 million in 2022. The US government contributed more than a quarter of the total funds (US$713 million; 27.4%). Compared with scenarios in which US DAH was low but other funds were high, a combination of high US DAH, high funding from other donors and high GHES (one unit above their means) was associated with a 6.5% (95% Confidence Interval (CI) -73.6% to 49.6%) and a 14.6% (-86% to 60.8%) reduction in TB incidence and mortality, respectively. The corresponding decreases in incidence and mortality rates were 16.8 (-172.17 to 138.57) and 5.88 (-34.85 to 23.16) per 100 000. Conclusion: Although higher US DAH, Other DAH and GHES were associated with declines in TB incidence and mortality rates, the estimated differences in TB outcomes between high-funding and low-US-DAH scenarios were small and not statistically significant.

Indexed as

EpidemiologyPublic HealthTuberculosis

Identifiers

PMID42568929
PMCPMC13448635

What Socratic holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.