Evidence map›Paper›PMID 34527893›Full record

ArticleEClinicalMedicine2021

Socioeconomic inequalities in effective service coverage for reproductive, maternal, newborn, and child health: a comparative analysis of 39 low-income and middle-income countries.

Kanya Anindya, Tiara Marthias, Sukumar Vellakkal, Natalie Carvalho, Rifat Atun, Alison Morgan, Yang Zhao, Emily Sg Hulse, Barbara McPake, John Tayu Lee

Abstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–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

37 citing papers in PubMed, 3 syntheses or guidelines 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

10 authors.

Kanya AnindyaNossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.
Tiara MarthiasNossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.
Sukumar VellakkalDepartment of Economic Sciences, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh, India.
Natalie CarvalhoCenter for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Rifat AtunDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Alison MorganNossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.
Yang ZhaoWHO Collaborating Centre on Implementation Research for Prevention and Control of Noncommunicable Diseases, Melbourne, VIC, Australia.
Emily Sg HulseCenter for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Barbara McPakeNossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.
John Tayu LeeNossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing socioeconomic inequalities in access to good quality health care is key for countries to achieve Universal Health Coverage. This study aims to assess socioeconomic inequalities in effective coverage of reproductive, maternal, newborn and child health (RMNCH) in low- and middle-income countries (LMICs).

methodsUsing the most recent national health surveys from 39 LMICs (between 2014 and 2018), we calculated coverage indicators using effective coverage care cascade that consists of service contact, crude coverage, quality-adjusted coverage, and user-adherence-adjusted coverage. We quantified wealth-related and education-related inequality using the relative index of inequality, slope index of inequality, and concentration index.

findingsThe quality-adjusted coverage of RMNCH services in 39 countries was substantially lower than service contact, in particular for postnatal care (64 percentage points [pp],

interpretationReliance on the average contact coverage tends to underestimate the levels of socioeconomic inequalities for RMNCH service use in LMICs. Hence, the effective coverage measurement using a care cascade approach should be applied. While RMNCH coverages vary considerably across countries, equitable improvement in quality of care is particularly needed for lower-middle-income and low-income countries.

fundingNone.

Identifiers

PMID34527893
PMCPMC8430373

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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.