Evidence map›Paper›PMID 31131102›Full record

SynthesisJournal of global health2019

Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH).

Adeyinka E Adegbosin, Hong Zhou, Sen Wang, Bela Stantic, Jing Sun

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
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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

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Adeyinka E AdegbosinSchool of Medicine, Griffith University, Gold Coast, Queensland, Australia.
Hong ZhouPeking University, Beijing, China.
Sen WangSchool of Information and Communication Technology, Griffith University, Queensland, Australia.
Bela StanticSchool of Information and Communication Technology, Griffith University, Queensland, Australia.
Jing SunSchool of Medicine, Griffith University, Gold Coast, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, progress in Maternal and Child Health (MCH) has been inconsistent, with several evidence showing both between and within country disparities in several RMNCH outcome measures. In this study, we aim to meta-analyse existing literature on association between three major equity stratifiers and a selection of RMNCH indicators.

methodsWe searched PubMed, Embase, Scopus databases and grey literatures from the WHO, UNICEF and World Bank publications. Using the PRISMA guidelines, we identified and reviewed studies from low and middle-income countries, that explored the effects of inequalities on RMNCH, with focus on studies that utilised data from a nationally representative survey. The review protocol was registered at the PROSPERO international prospective register of systematic reviews.

resultsA total of 28 studies were included in the meta-analysis. Results revealed the existence of marked inequality based on income levels, education and place of residence. The most significant level of disparity was with regards to unmet need for contraception and antenatal coverage. For both respective indicators, those with secondary or higher education were 6 times more likely to have better coverage, than those with lesser level of education; (odds ratio (OR) = 6.25 (95% confidence interval (CI) = 1.68-23.23; I

conclusionsIn developing countries, maternal and child health coverage remains highly inequitable and assess to maternal and child health services are governed by factors such as income, level of education, and place of residence.

Indexed as

Child HealthGlobal HealthHealth Status DisparitiesHealth Status IndicatorsInfant HealthMaternal HealthReproductive HealthChildFemaleHumansInfant, NewbornPregnancySocioeconomic Factors

Identifiers

PMID31131102
PMCPMC6513502

What OpenQuestion holds

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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.