Evidence map›Paper›PMID 41083294›Full record

ArticleBMJ open2025

Effects of government health and immunisation financing on routine childhood vaccination during the COVID-19 pandemic: a difference-in-differences study.

Donghoon Lee, Taeksoo Ted Kim, Ulla Griffiths, Michelle Seidel, Marcia Freitas Attaran, Manuel Celestino Lavayen, Anne Cabrera-Clerget

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

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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

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

7 authors.

Donghoon LeeDivision of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA donghoon.lee@cuanschutz.edu.ORCID http://orcid.org/0000-0002-8590-4089
Taeksoo Ted KimUNICEF, New York city, New York, USA.
Ulla GriffithsUNICEF, New York city, New York, USA.ORCID http://orcid.org/0000-0001-6822-6493
Michelle SeidelUNICEF, New York city, New York, USA.
Marcia Freitas AttaranUNICEF, New York city, New York, USA.
Manuel Celestino LavayenIndependent consultant, Copenhagen, Denmark.
Anne Cabrera-ClergetUNICEF, New York city, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the safeguarding impact of government commitment (defined as the proportion of government expenditure relative to total expenditure) to health and immunisation financing in mitigating the disruptions to routine childhood vaccination during the COVID-19 pandemic.

designA quasi-experimental difference-in-differences study with country fixed effect, leveraging the COVID-19 pandemic as a natural experiment.

settingLow-income and middle-income countries.

participantsA cohort of 131 low- and middle-income countries from 2010 to 2023. PRIMARY OUTCOME MEASURES: Our primary outcomes included the coverage rates for the third dose of the diphtheria-tetanus-pertussis containing vaccine (DTP3) and the first dose of the measles containing vaccine (MCV1).

resultsBoth high government commitment countries (ie, above the upper 20th percentile) and low government commitment countries (ie, below the upper 20th percentile) experienced declines in immunisation coverage over the 4 years following the COVID-19 pandemic, with DTP3 and MCV1 decreasing by 4 and 5 percentage points, respectively (p<0.001). However, the differences in these declines between the two groups were not statistically significant during this period.

conclusionGreater government commitment to health and immunisation financing may not be sufficient on its own to mitigate pandemic-related disruptions in routine childhood vaccination.

Indexed as

COVID-19Financing, GovernmentImmunization ProgramsVaccinationVaccination CoverageChildChild, PreschoolDeveloping CountriesDiphtheria-Tetanus-Pertussis VaccineHumansInfantMeasles VaccinePandemicsSARS-CoV-2Diphtheria-Tetanus-Pertussis VaccineMeasles VaccineCOVID-19Health policyImmunization Programs

Identifiers

PMID41083294
PMCPMC12519723

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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.