Evidence map›Paper›PMID 37340350›Full record

ArticleBMC pregnancy and childbirth2023

Determinants of partial and adequate maternal health services utilization in Nigeria: analysis of cross-sectional survey.

Sulaimon T Adedokun, Olalekan A Uthman, Luqman A Bisiriyu

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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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

3 authors.

Sulaimon T AdedokunDepartment of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria. adedokunsulait@gmail.com.
Olalekan A UthmanWarwick-Centre for Applied Health Research and Delivery (WCAHRD), Division of Health Sciences, University of Warwick Medical School, Coventry, UK.
Luqman A BisiriyuDepartment of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to health services during pregnancy, childbirth and the period after birth provides a substantial opportunity to limit cases of maternal mortality. In sub-Saharan Africa, the proportions of women who utilize health services remain below 70%. This study examined the factors associated with partial and adequate maternal health services utilization in Nigeria.

methodsThis paper used data from 2018 Nigeria Demographic and Health Survey (DHS) comprising 21,792 women aged 15-49 years who had given births within five years of the survey. The study focused on antenatal care attendance, place of birth and postnatal care using a combined model. Multinomial logistic regression was applied in the analysis.

resultsAbout 74% of the women attended antenatal care, 41% gave birth in health facilities and 21% attended postnatal care. While 68% of the women partially utilized health services, 11% adequately utilized the services. The odds of partially and adequately utilizing health services increased for ever married women, women with secondary or higher education, from richest households, living in urban area, having no problem either getting permission to visit health facility or reaching health facility.

conclusionsThis study has revealed the factors associated with partial and adequate utilization of maternal health services in Nigeria. Such factors include education, household wealth, marital status, employment status, residence, region, media exposure, getting permission to use health service, unwillingness to visit health facility without being accompanied and distance to health facility. Efforts aimed at improving maternal health services utilization should place emphasis on these factors.

Indexed as

Maternal Health ServicesCross-Sectional StudiesFemaleHumansNigeriaPatient Acceptance of Health CarePregnancyPrenatal CareAdequateAntenatalHealth ServicesMaternalMultinomialPartialUtilization

Identifiers

PMID37340350
PMCPMC10283328

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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.