Evidence map›Paper›PMID 40839553›Full record

ArticlePLoS medicine2025

The potential impact of declining development assistance for health on population health in Malawi: A modelling study.

Margherita Molaro, Paul Revill, Martin Chalkley, Sakshi Mohan, Tara D Mangal, Tim Colbourn, Joseph H Collins, Matthew M Graham, William Graham, Eva Janoušková and 11 more

Abstract read
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Margherita MolaroMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1841-4274
Paul RevillCentre for Health Economics, University of York, York, United Kingdom.
Martin ChalkleyCentre for Health Economics, University of York, York, United Kingdom.ORCID https://orcid.org/0000-0002-1091-8259
Sakshi MohanCentre for Health Economics, University of York, York, United Kingdom.ORCID https://orcid.org/0000-0002-1268-1769
Tara D MangalMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9222-8632
Tim ColbournInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-6917-6552
Joseph H CollinsInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4801-7218
Matthew M GrahamCentre for Advanced Research Computing, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9104-7960
William GrahamCentre for Advanced Research Computing, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0058-263X
Eva JanouškováInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4104-0119
Gerald ManthaluDepartment of Planning and Policy Development, Ministry of Health and Population, Lilongwe, Malawi.
Emmanuel MnjoweKamuzu University of Health Sciences, Blantyre, Malawi.ORCID https://orcid.org/0009-0006-4624-9727
Watipaso MulwafuKamuzu University of Health Sciences, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-1962-8258
Rachel E Murray-WatsonMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9079-5975
Pakwanja D TweaDepartment of Planning and Policy Development, Ministry of Health and Population, Lilongwe, Malawi.ORCID https://orcid.org/0000-0003-0917-8190
Andrew N PhillipsInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2384-4807
Bingling SheMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-5976-8987
Asif U TamuriCentre for Advanced Research Computing, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6633-3789
Dominic NkhomaKamuzu University of Health Sciences, Blantyre, Malawi.
Joseph Mfutso-BengoKamuzu University of Health Sciences, Blantyre, Malawi.
Timothy B HallettMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9681-0424

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundDevelopment assistance for health (DAH) to Malawi will likely decrease as a fraction of Gross Domestic Product (GDP) in the next few decades. Given the country's significant reliance on DAH for the delivery of its healthcare services, estimating the impact that this could have on health projections for the country is particularly urgent. METHODS AND

findingsWe use the Malawi-specific, individual-based "all diseases-whole health-system" Thanzi La Onse model to estimate the impact that declining DAH could have on health system capacities, proxied by the availability of human resources for health, and consequently on population health outcomes, in the period 2019-2040. We estimate that the range of DAH forecasts considered could result in a 7.0% (95% confidence interval (CI) [5.3, 8.3]) to 15.8% (95% CI [14.5,16.7]) increase in disability-adjusted life years compared to a scenario where health spending as a percentage of GDP remains unchanged. This could cause a reversal of gains achieved to date in many areas of health. The burden due to non-communicable diseases, on the other hand, is found to increase irrespective of yearly growth in health expenditure, assuming current reach, and scope of interventions. Finally, we find that greater health expenditure will improve population health outcomes, but at a diminishing rate. The main limitations of this study include the fact that it only considered gradual changes in health expenditure, and did not account for more severe economic shocks or sharp declines in DAH. It also relied on key assumptions about how other factors affecting health beyond healthcare worker numbers -such as consumable availability, range of services available, treatment innovation, and socio-economic and behavioural factors-might evolve.

conclusionsThis analysis reveals the potential risk to population health in Malawi should current forecasts of declining health expenditure as a share of GDP materialise, and underscores the need for both domestic and international authorities to act in response to this anticipated trend.

Indexed as

Delivery of Health CarePopulation HealthDisability-Adjusted Life YearsGross Domestic ProductHealth ExpendituresHumansMalawi

Identifiers

PMID40839553
PMCPMC12370021

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Registered trials

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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 OpenQuestion graph.