Evidence map›Paper›PMID 31718572›Full record

ArticleBMC pregnancy and childbirth2019

Levels and determinants of maternal mortality in northern and southern Nigeria.

Catherine Meh, Amardeep Thind, Bridget Ryan, Amanda Terry

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 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

45 citing papers in PubMed, 2 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

4 authors.

Catherine MehDepartment of Epidemiology and Biostatistics, Western University, 1151 Richmond St., London, ON, N6A 5C1, Canada. cmeh@uwo.ca.ORCID http://orcid.org/0000-0003-2476-8439
Amardeep ThindDepartment of Epidemiology and Biostatistics, Western University, 1151 Richmond St., London, ON, N6A 5C1, Canada.
Bridget RyanDepartment of Epidemiology and Biostatistics, Western University, 1151 Richmond St., London, ON, N6A 5C1, Canada.
Amanda TerryDepartment of Epidemiology and Biostatistics, Western University, 1151 Richmond St., London, ON, N6A 5C1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal mortality is still a major risk for women of childbearing age in Nigeria. In 2008, Nigeria bore 14% of the global burden of maternal mortality. The national maternal mortality ratio has remained elevated despite efforts to reduce maternal deaths. Though health disparities exist between the North and South of Nigeria, there is a dearth of evidence on the estimates and determinants of maternal mortality for these regions.

methodsThis study aimed to assess differences in the levels and determinants of maternal mortality in women of childbearing age (15-49 years) in the North and South of Nigeria. The Nigeria Demographic and Health Surveys (2008 and 2013) were used. The association between maternal mortality (outcome) and relevant sociocultural, economic and health factors was tested using multivariable logistic regression in a sample of 51,492 living or deceased women who had given birth.

resultsThere were variations in the levels of maternal mortality between the two regions. Maternal mortality was more pronounced in the North and increased in 2013 compared to 2008. For the South, the levels slightly decreased. Media exposure and education were associated with maternal mortality in the North while contraceptive method, residence type and wealth index were associated with maternal death in the South. In both regions, age and community wealth were significantly associated with maternal mortality.

conclusionsDifferences in the levels and determinants of maternal mortality between the North and South of Nigeria stress the need for efforts to cut maternal deaths through new strategies that are relevant for each region. These should improve education of girls in the North and access to health information and services in the South. Overall, new policies to improve women's socioeconomic status should be adopted.

Indexed as

Maternal MortalitySocioeconomic FactorsAdolescentAdultFemaleHumansLogistic ModelsMiddle AgedNigeriaPregnancySocial Determinants of HealthYoung AdultMaternal healthMaternal mortalityNigeria

Identifiers

PMID31718572
PMCPMC6852989

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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.