Evidence map›Paper›PMID 35701823›Full record

SynthesisInternational journal for equity in health2022

Vaccine equity in low and middle income countries: a systematic review and meta-analysis.

Huda Ahmed Ali, Anna-Maria Hartner, Susy Echeverria-Londono, Jeremy Roth, Xiang Li, Kaja Abbas, Allison Portnoy, Emilia Vynnycky, Kim Woodruff, Neil M Ferguson and 2 more

Erratum issued Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07592260 (OptiMAx), which is not on this map. Cited by 148 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 10 pooled it
31.3field-weighted citation impact, top 1% of its field
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.

NCT07592260 narecruitingnot on this mapstarted 2025, after this paper: background citation

OptiMAx: Incentivizing EPI Vaccination Via Distribution of SQ-LNS Nutritional Supplementation to Children From Age 6-11 Months Until 18 Months of Age in Rural Chad and Niger, With a Cost Effectiveness Analysis Protocol for a Research Study Nested in the OptiMA Research Study in Ngouri Health District, Lake Region, Chad and Mirriah Health District, Zinder Region, Niger

TypeinterventionalSponsorAlliance for International Medical ActionRan2025 to 2026Enrolled20,000ConditionsMalnutrition Severe, VaccinationArmssmall quantity lipid-based supplement (SQ-LNS)
3 · Its place in the literature

Who cites it

148 citing papers in PubMed, 10 syntheses or guidelines pooled it, 216 citations in OpenAlex.

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88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Huda Ahmed Ali *Imperial College London, Praed Street, London, UK.
Anna-Maria Hartner *Imperial College London, Praed Street, London, UK.
Susy Echeverria-LondonoImperial College London, Praed Street, London, UK.
Jeremy RothImperial College London, Praed Street, London, UK.
Xiang LiImperial College London, Praed Street, London, UK.
Kaja AbbasLondon School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
Allison PortnoyCenter for Health Decision Science, Harvard T H Chan School of Public Health, Cambridge, USA.
Emilia VynnyckyPublic Health England, London, UK.
Kim WoodruffImperial College London, Praed Street, London, UK.
Neil M FergusonImperial College London, Praed Street, London, UK.
Jaspreet ToorImperial College London, Praed Street, London, UK.
Katy Am GaythorpeImperial College London, Praed Street, London, UK. k.gaythorpe@imperial.ac.uk.
Imperial College London · GBPublic Health England · GBUniversity of London · GB

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundEvidence to date has shown that inequality in health, and vaccination coverage in particular, can have ramifications to wider society. However, whilst individual studies have sought to characterise these heterogeneities in immunisation coverage at national level, few have taken a broad and quantitative view of the contributing factors to heterogeneity in immunisation coverage and impact, i.e. the number of cases, deaths, and disability-adjusted life years averted. This systematic review aims to highlight these geographic, demographic, and sociodemographic characteristics through a qualitative and quantitative approach, vital to prioritise and optimise vaccination policies.

methodsA systematic review of two databases (PubMed and Web of Science) was undertaken using search terms and keywords to identify studies examining factors on immunisation inequality and heterogeneity in vaccination coverage. Inclusion criteria were applied independently by two researchers. Studies including data on key characteristics of interest were further analysed through a meta-analysis to produce a pooled estimate of the risk ratio using a random effects model for that characteristic.

resultsOne hundred and eight studies were included in this review. We found that inequalities in wealth, education, and geographic access can affect vaccine impact and vaccination dropout. We estimated those living in rural areas were not significantly different in terms of full vaccination status compared to urban areas but noted considerable heterogeneity between countries. We found that females were 3% (95%CI[1%, 5%]) less likely to be fully vaccinated than males. Additionally, we estimated that children whose mothers had no formal education were 28% (95%CI[18%,47%]) less likely to be fully vaccinated than those whose mother had primary level, or above, education. Finally, we found that individuals in the poorest wealth quintile were 27% (95%CI [16%,37%]) less likely to be fully vaccinated than those in the richest.

conclusionsWe found a nuanced picture of inequality in vaccination coverage and access with wealth disparity dominating, and likely driving, other disparities. This review highlights the complex landscape of inequity and further need to design vaccination strategies targeting missed subgroups to improve and recover vaccination coverage following the COVID-19 pandemic.

trial registrationProspero, CRD42021261927.

Indexed as

COVID-19VaccinesChildDeveloping CountriesFemaleHumansMalePandemicsVaccinationVaccination CoverageVaccinesEquityLMICSystematic reviewVaccine

Identifiers

PMID35701823
PMCPMC9194352
OpenAlexW4282830643

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.