Evidence map›Paper›PMID 41146872›Full record

ReviewSSM - population health2025

Hidden by national averages: Unveiling the complex dynamics of ethnic disparities in under-five survival across sub-Saharan Africa.

Vincent Bio Bediako

Abstract readReview
In one paragraph

Review in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

1 author.

Vincent Bio BediakoGraduate Group in Demography, University of Pennsylvania, Philadelphia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under-five mortality in sub-Saharan Africa has declined markedly, yet ethnic gaps persist and may even widen despite overall gains. This study uses two consecutive rounds of Demographic and Health Surveys (2007-2022) from twelve countries to trace how child characteristics, maternal education, household wealth, and urban-rural residence drive ethnic differentials in child survival. Country-specific total births ranged from 23,109 to 127,545 per survey round. Employing survey-weighted quasi-Poisson models with person-year offsets and a sequential Shapley-value decomposition, the study estimates crude and adjusted rate ratios for pairwise ethnic comparisons. It predicts mortality rates under counterfactual socioeconomic conditions. Results show enduring disparities, for example, among the Luo versus the Kalenjin in Kenya (adjusted RR 2.15, 95 % CI 1.83-2.51) and the Hausa versus the Yoruba in Nigeria (adjusted RR 1.39, 95 % CI 1.22-1.56), with maternal education accounting for roughly one-quarter to one-third of inequality. At the same time, the role of household wealth varies by context. Sensitivity analyses examining administrative boundary effects revealed that geographic mediation accounts for 15.4 % of ethnic disparities in Ghana's centralized system and 35.1 % in Nigeria's decentralized federal structure, suggesting that apparent ethnic disparities substantially reflect differential healthcare access across administrative units rather than intrinsic cultural factors. In Ghana, targeted policies combining fee removal and culturally tailored maternal care have noticeably narrowed ethnic gaps. These findings underscore that eliminating preventable child deaths by 2030 requires interventions that address both the socioeconomic and cultural determinants of ethnic disadvantage.

Indexed as

Decomposition analysisEthnic disparitiesHealth inequalitiesMaternal educationSocioeconomic factorsSub-Saharan AfricaUnder-five mortality

Identifiers

PMID41146872
PMCPMC12554070

What OpenQuestion holds

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LicenceCC BY
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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.