Evidence map›Paper›PMID 30404661›Full record

ArticleJournal of health, population, and nutrition2018

Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models.

Joshua O Akinyemi, Izzatullah Bolajoko, Babatunde M Gbadebo

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Article in Journal of health, population, and nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Joshua O AkinyemiDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria. odunjoshua@gmail.com.ORCID 0000-0002-0675-2110
Izzatullah BolajokoDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.
Babatunde M GbadeboDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the factors responsible for high level of childhood mortality in Nigeria is poor utilization of maternal healthcare (MHC) services. Another important perspective which has been rarely explored is the influence of childhood death on MHC service utilization. In this study, we examined the relationship between death of preceding child and MHC services utilization [antenatal care (ANC), skilled attendant at birth (SAB), and postnatal care (PNC)] among Nigerian women and across the six geo-political zones of the country. METHODOLOGY: We analyzed reproductive history dataset for 16,747 index births extracted from the 2013 Nigeria Demographic and Health Survey. The main explanatory variable was survival status of preceding child; therefore, only second or higher order births were considered. Analysis involved the use of descriptive statistics and lagged logit models fitted for each measure of MHC utilization. Association and statistical significance were expressed as adjusted odds ratio (AOR) with 95% confidence interval.

resultsThe use of MCH services for most recent births in the 2013 Nigeria DHS were ANC (56.0%), SAB (34.7%), and PNC (27.3%). Univariate models revealed that the death of preceding child was associated with lesser likelihood of ANC (OR = 0.64, CI 0.57-0.71), SAB (OR = 0.56, CI 0.50-0.63), and PNC (OR = 0.65, CI 0.55-0.69). Following adjustment for maternal socio-economic and bio-demographic variables, statistical significance in the relationship disappeared for the three MHC indicators: ANC (AOR = 1.00, CI 0.88-1.14), SAB (AOR = 0.97, CI 0.81-1.15), and PNC (AOR = 0.95, CI 0.83-1.11). There were no significant variations across the six geo-political regions in Nigeria. The likelihood of ANC utilization was higher when the preceding child died in Northcentral (AOR = 1.19, CI 0.84-1.70), Northeast (AOR = 1.26, CI 0.99-1.59), and South-south (AOR = 1.19, CI 0.72-1.99) regions while the reverse is the case in Southeast (AOR = 0.39, CI 0.23-0.60). For the Southeast, similar result was obtained for ANC, SAB, and PNC.

conclusionDeath of a preceding child does not predict MHC services use in Nigeria especially when maternal socio-economic characteristics are controlled. Variations across the Northern and Southern regions did not attain statistical significance. Interventions are needed to reverse the pattern such that greater MHC utilization is recorded among women who have experienced child death.

Indexed as

DeathMaternal Health ServicesPatient Acceptance of Health CareAdultChild MortalityChild, PreschoolDelivery, ObstetricFemaleHealth Services AccessibilityHealth SurveysHumansInfantInfant DeathInfant MortalityLogistic ModelsMidwiferyAntenatal careChildhood mortalityLagged logit modelsMaternal healthcareNigeriaPostnatal carePreceding child survivalSkilled attendant at birth

Identifiers

PMID30404661
PMCPMC6222986

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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.