Evidence map›Paper›PMID 32514213›Full record

ArticleBulletin of the World Health Organization2020

Wealth-related inequalities in the coverage of reproductive, maternal, newborn and child health interventions in 36 countries in the African Region.

Fernando C Wehrmeister, Cheikh Mbacké Fayé, Inácio Crochemore M da Silva, Agbessi Amouzou, Leonardo Z Ferreira, Safia S Jiwani, Dessalegn Y Melesse, Martin Mutua, Abdoulaye Maïga, Tome Ca and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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.

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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Planning universal accessibility to public health care in sub-Saharan Africa.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

19 authors at 2 institutions in 2 countries.

Fernando C WehrmeisterInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3 piso, Pelotas, Brazil.
Cheikh Mbacké FayéAfrican Population and Health Research Centre, West Africa Regional Office, Dakar, Senegal.
Inácio Crochemore M da SilvaInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3 piso, Pelotas, Brazil.
Agbessi AmouzouDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America (USA).
Leonardo Z FerreiraInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3 piso, Pelotas, Brazil.
Safia S JiwaniDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America (USA).
Dessalegn Y MelesseCentre for Global Public Health, University of Manitoba, Canada.
Martin MutuaAfrican Population and Health Research Center, Central Office, Nairobi, Kenya.
Abdoulaye MaïgaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America (USA).
Tome CaHealth Information System, West African Health Organization, Bobo-Dioulasso, Burkina Faso.
Estelle SidzeAfrican Population and Health Research Center, Central Office, Nairobi, Kenya.
Chelsea TaylorDepartment of Data and Analytics, World Health Organization, Geneva, Switzerland.
Kathleen StrongDepartment of Maternal, Newborn, Child, and Adolescent Health and Aging, World Health Organization, Geneva, Switzerland.
Liliana Carvajal-AguirreDivision of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, USA.
Tyler PorthDivision of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, USA.
Ahmad Reza HosseinpoorDepartment of Data and Analytics, World Health Organization, Geneva, Switzerland.
Aluisio J D BarrosInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3 piso, Pelotas, Brazil.
Ties BoermaCentre for Global Public Health, University of Manitoba, Canada.
on the behalf of the Countdown to 2030 for Women’s, Children’s and Adolescents’ Health regional collaboration in sub-Saharan Africa
World Health Organization · CHUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether sub-Saharan African countries have succeeded in reducing wealth-related inequalities in the coverage of reproductive, maternal, newborn and child health interventions.

methodsWe analysed survey data from 36 countries, grouped into Central, East, Southern and West Africa subregions, in which at least two surveys had been conducted since 1995. We calculated the composite coverage index, a function of essential maternal and child health intervention parameters. We adopted the wealth index, divided into quintiles from poorest to wealthiest, to investigate wealth-related inequalities in coverage. We quantified trends with time by calculating average annual change in index using a least-squares weighted regression. We calculated population attributable risk to measure the contribution of wealth to the coverage index.

findingsWe noted large differences between the four regions, with a median composite coverage index ranging from 50.8% for West Africa to 75.3% for Southern Africa. Wealth-related inequalities were prevalent in all subregions, and were highest for West Africa and lowest for Southern Africa. Absolute income was not a predictor of coverage, as we observed a higher coverage in Southern (around 70%) compared with Central and West (around 40%) subregions for the same income. Wealth-related inequalities in coverage were reduced by the greatest amount in Southern Africa, and we found no evidence of inequality reduction in Central Africa.

conclusionOur data show that most countries in sub-Saharan Africa have succeeded in reducing wealth-related inequalities in the coverage of essential health services, even in the presence of conflict, economic hardship or political instability.

Indexed as

AfricaAfrica South of the SaharaArmed ConflictsHealthcare DisparitiesHumansMaternal-Child Health ServicesPoliticsPovertyTime Factors

Identifiers

PMID32514213
PMCPMC7265922
OpenAlexW3033483834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.