Evidence map›Paper›PMID 38826143›Full record

ArticleGlobal health action2024

Starting then stopping: a nationwide register-based study on the magnitude, predictors, and urban-rural patterns of under-vaccination variation across health centers in The Gambia.

Alieu Sowe, Fredinah Namatovu, Bai Cham, Per E Gustafsson

Abstract read
In one paragraph

Article in Global health action, 2024. 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

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

4 authors.

Alieu SoweDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.ORCID 0000-0003-3786-3021
Fredinah NamatovuDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.ORCID 0000-0001-5471-9043
Bai ChamMedical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Bakau, The Gambia.ORCID 0000-0002-1656-2126
Per E GustafssonDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.ORCID 0000-0002-3972-5362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSix million children were under-vaccinated in 2022. Our study aimed to 1) quantify the magnitude of under-vaccination variation between health facilities, 2) assess to which extent individual and health center level factors contributed to the variation, 3) identify individual and health facility factors associated with under-vaccination, and 4), explore rural vs. urban health facility variations.

methodsWe used data from 61,839 children from The Gambia national routine vaccination register. We cross tabulated under-vaccination status across study variables and fitted two-level random intercept multilevel logistic regression models to measure variance, contribution to the variance, and factors associated with the variance and under-vaccination.

resultsWe found that 7% of the prevalence of under-vaccination was due to variation between health facilities. Thirty-seven percent of the variation was explained by individual and health center variables. The variables explained 36% of the variance in urban and 19% in rural areas. Children who were not vaccinated at 4 months or with delayed history, due for vaccination in the rainy season, and health facilities with very small or large population to health worker ratios had higher under-vaccination odds.

conclusionOur study indicates that one of the pathways to improving vaccination coverage is addressing factors driving under-vaccination inequities between health facilities through urban-rural differentiated strategies.

Indexed as

Rural PopulationChild, PreschoolFemaleGambiaHealth FacilitiesHumansImmunization ProgramsInfantMaleRegistriesUrban PopulationVaccinationVaccination Coveragecoverageequityinequalityunder immunizedVaccination

Identifiers

PMID38826143
PMCPMC11149585

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