Evidence map›Paper›PMID 29855277›Full record

ArticleBMC pregnancy and childbirth2018

Inequalities in maternal health care utilization in Benin: a population based cross-sectional study.

Sanni Yaya, Olalekan A Uthman, Agbessi Amouzou, Michael Ekholuenetale, Ghose Bishwajit

Abstract readComparative Study
In one paragraph

Article in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Trends and inequalities in adequate antenatal care coverage among women in Sierra Leone, 2008-2019.Archives of public health = Archives belges de sante publique · 2024
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19 more citing papers are in PubMed but not listed here.

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.

Sanni YayaSchool of International Development and Global Studies, University of Ottawa, Ottawa, Canada. sanni.yaya@uOttawa.ca.ORCID http://orcid.org/0000-0002-4876-6043
Olalekan A UthmanWarwick Centre for Applied Health Research and Delivery (WCAHRD), Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Agbessi AmouzouBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Michael EkholuenetaleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ghose BishwajitSchool of International Development and Global Studies, University of Ottawa, Ottawa, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnsuring equitable access to maternal health care including antenatal, delivery, postnatal services and fertility control methods, is one of the most critical challenges for public health sector. There are significant disparities in maternal health care indicators across many geographical locations, maternal, economic, socio-demographic factors in many countries in sub-Sahara Africa. In this study, we comparatively explored the utilization level of maternal health care, and examined disparities in the determinants of major maternal health outcomes.

methodsThis paper used data from two rounds of Benin Demographic and Health Survey (BDHS) to examine the utilization and disparities in factors of maternal health care indicators using logistic regression models. Participants were 17,794 and 16,599 women aged between15-49 years in 2006 and 2012 respectively. Women's characteristics were reported in percentage, mean and standard deviation.

resultsMean (±SD) age of the participants was 29.0 (±9.0) in both surveys. The percentage of at least 4 ANC visits was approximately 61% without any change between the two rounds of surveys, facility based delivery was 93.5% in 2012, with 4.9% increase from 2006; postnatal care was currently 18.4% and contraceptive use was estimated below one-fifth. The results of multivariable logistic regression models showed disparities in maternal health care service utilization, including antenatal care, facility-based delivery, postnatal care and contraceptive use across selected maternal factors. The current BHDS showed age, region, religion were significantly associated with maternal health care services. Educated women, those from households of high wealth index and women currently working were more likely to utilize maternal health care services, compared to women with no formal education, from poorest households or not currently employed. Women who watch television (TV) were 1.31 (OR = 1.31; 95% CI = 1.13-1.52), 1.69 (OR = 1.69; 95% CI = 1.20-2.37) and 1.38 (OR = 1.38; 95% CI = 1.16-1.65) times as likely to utilize maternal health care services after adjusting for other covariates.

conclusionThe findings would guide stakeholders to address inequalities in maternal health care services. More so, health care programmes and policies should be strengthened to enhance accessibility as well as improve the utilization of maternal care services, especially for the disadvantaged, uneducated and those who live in hard-to-reach rural areas in Benin. The Benin government needs to create strategies that cover both the supply and demand side factors at attain the universal health coverage.

Indexed as

AdolescentAdultBeninContraception BehaviorCross-Sectional StudiesDelivery, ObstetricFemaleHealthcare DisparitiesHealth FacilitiesHealth Services AccessibilityHumansLogistic ModelsMaternal Health ServicesMiddle AgedPatient Acceptance of Health CarePovertyAntenatal careBeninContraceptive useCross-sectional studyDemographic and health surveyInequalitiesInstitutional deliveryPostnatal care

Identifiers

PMID29855277
PMCPMC5984297

What OpenQuestion holds

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LicenceCC BY
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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.