Evidence map›Paper›PMID 37784140›Full record

ArticleInternational journal for equity in health2023

Wealth-based inequality in the continuum of maternal health service utilisation in 16 sub-Saharan African countries.

Anteneh Asefa, Samson Gebremedhin, Tiara Marthias, Herfina Nababan, Aliki Christou, Aline Semaan, Aduragbemi Banke-Thomas, Hanani Tabana, Fadhlun M Alwy Al-Beity, Jean-Paul Dossou and 7 more

Abstract read
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Article in International journal for equity in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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.

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3 · Its place in the literature

Who cites it

29 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

17 authors.

Anteneh AsefaDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium. aasefa@itg.be.ORCID http://orcid.org/0000-0003-4470-1848
Samson GebremedhinSchool of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.ORCID http://orcid.org/0000-0002-7838-2470
Tiara MarthiasSchool of Population and Global Health, Nossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0001-8226-9473
Herfina NababanInstitut für Public Health und Pflegeforschung, Universität Bremen, Bremen, Germany.ORCID http://orcid.org/0000-0002-7818-4132
Aliki ChristouDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-9525-8255
Aline SemaanDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-8348-1206
Aduragbemi Banke-ThomasSchool of Human Sciences, University of Greenwich, London, UK.ORCID http://orcid.org/0000-0002-4449-0131
Hanani TabanaSchool of Public Health, University of the Western Cape, Cape Town, South Africa.ORCID http://orcid.org/0000-0003-1576-2238
Fadhlun M Alwy Al-BeityDepartment of Obstetrcis/Gynaecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID http://orcid.org/0000-0003-2416-6876
Jean-Paul DossouCentre de Recherche en Reproduction Humaine Et en Démographie, Cotonou, Bénin.ORCID http://orcid.org/0000-0003-1681-2604
Keneni GutemaSchool of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.ORCID http://orcid.org/0000-0003-2697-7242
Thérèse DelvauxDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-6299-2648
Catherine BirabwaMakerere University School of Public Health, Kampala, Uganda.ORCID http://orcid.org/0000-0003-2916-9275
Mardieh DennisLast Mile Health, Monrovia, Liberia.ORCID http://orcid.org/0000-0003-4152-4604
Fassou Mathias GrovoguiCentre National de Formation Et de Recherche en Santé Rurale (CNFRSR), Maferinyah, Forécariah, Guinea.ORCID http://orcid.org/0000-0001-7356-9677
Barbara McPakeSchool of Population and Global Health, Nossal Institute for Global Health, The University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0002-9904-1077
Lenka BeňováDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-8595-365X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersistent inequalities in coverage of maternal health services in sub-Saharan Africa (SSA), a region home to two-thirds of global maternal deaths in 2017, poses a challenge for countries to achieve the Sustainable Development Goal (SDG) targets. This study assesses wealth-based inequalities in coverage of maternal continuum of care in 16 SSA countries with the objective of informing targeted policies to ensure maternal health equity in the region.

methodsWe conducted a secondary analysis of Demographic and Health Survey (DHS) data from 16 SSA countries (Angola, Benin, Burundi, Cameroon, Ethiopia, Gambia, Guinea, Liberia, Malawi, Mali, Nigeria, Sierra Leone, South Africa, Tanzania, Uganda, and Zambia). A total of 133,709 women aged 15-49 years who reported a live birth in the five years preceding the survey were included. We defined and measured completion of maternal continuum of care as having had at least one antenatal care (ANC) visit, birth in a health facility, and postnatal care (PNC) by a skilled provider within two days of birth. We used concentration index analysis to measure wealth-based inequality in maternal continuum of care and conducted decomposition analysis to estimate the contributions of sociodemographic and obstetric factors to the observed inequality.

resultsThe percentage of women who had 1) at least one ANC visit was lowest in Ethiopia (62.3%) and highest in Burundi (99.2%), 2) birth in a health facility was less than 50% in Ethiopia and Nigeria, and 3) PNC within two days was less than 50% in eight countries (Angola, Burundi, Ethiopia, Gambia, Guinea, Malawi, Nigeria, and Tanzania). Completion of maternal continuum of care was highest in South Africa (81.4%) and below 50% in nine of the 16 countries (Angola, Burundi, Ethiopia, Guinea, Malawi, Mali, Nigeria, Tanzania, and Uganda), the lowest being in Ethiopia (12.5%). There was pro-rich wealth-based inequality in maternal continuum of care in all 16 countries, the lowest in South Africa and Liberia (concentration index = 0.04) and the highest in Nigeria (concentration index = 0.34). Our decomposition analysis showed that in 15 of the 16 countries, wealth index was the largest contributor to inequality in primary maternal continuum of care. In Malawi, geographical region was the largest contributor.

conclusionsAddressing the coverage gap in maternal continuum of care in SSA using multidimensional and people-centred approaches remains a key strategy needed to realise the SDG3. The pro-rich wealth-based inequalities observed show that bespoke pro-poor or population-wide approaches are needed.

Indexed as

Maternal Health ServicesFemaleHumansPregnancyPrenatal CareSocioeconomic FactorsSouth AfricaTanzaniaZambiaAntenatal careDemographic and health surveyFacility-based childbirthInequalityMaternal continuum of carePostnatal careSub-Saharan Africa

Identifiers

PMID37784140
PMCPMC10544383

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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.