Evidence map›Paper›PMID 36804732›Full record

ReviewBMJ global health2023

The return of austerity imperils global health.

Thomas Stubbs, Alexandros Kentikelenis, Daniela Gabor, Jayati Ghosh, Martin McKee

Abstract readReview
In one paragraph

Review in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Thomas StubbsDepartment of Politics and International Relations, Royal Holloway, University of London, Egham, UK thomas.stubbs@rhul.ac.uk.ORCID 0000-0002-2624-9272
Alexandros KentikelenisDepartment of Social and Political Sciences, Bocconi University, Milan, Italy.ORCID 0000-0002-1543-4595
Daniela GaborDepartment of Accounting, Economics and Finance, University of the West of England, Bristol, UK.ORCID 0000-0003-4477-3403
Jayati GhoshDepartment of Economics, University of Massachusetts, Amherst, Massachusetts, USA.ORCID 0000-0002-8437-2527
Martin McKeeDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-0121-9683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recognising the world's lack of preparedness for the COVID-19 pandemic, international organisations like the World Health Organization, World Bank, and International Monetary Fund are calling for extensive additional funding to strengthen pandemic preparedness and response systems in low-income and middle-income countries, including through domestic resource mobilisation. This article examines the prospects of national health budgets increasing in such a context, drawing on new International Monetary Fund projections on public spending around the world. We show that by 2024 public spending will be lower than the 2010s average for almost half of all low-income and middle-income countries. A key driver of this new wave of austerity is the dramatic increase in public spending dedicated to repaying external debt-underpinned by growing debt stocks, US interest rates rises, and commodity price hikes. As in earlier crises, the stage is set for a situation where population health deteriorates-via compound effects of the pandemic and widespread economic hardship-while public health services required to tackle increased need are facing steep cuts. We conclude by considering what can be done to avoid repeating the mistakes of the past.

Indexed as

COVID-19Global HealthHumansPandemicsPovertyUnited StatesWorld Health OrganizationCOVID-19Health policyHealth systemsPublic Health

Identifiers

PMID36804732
PMCPMC9944267

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.