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Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models
BACKGROUND: One 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 examin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222986/ https://www.ncbi.nlm.nih.gov/pubmed/30404661 http://dx.doi.org/10.1186/s41043-018-0154-0 |
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author | Akinyemi, Joshua O. Bolajoko, Izzatullah Gbadebo, Babatunde M. |
author_facet | Akinyemi, Joshua O. Bolajoko, Izzatullah Gbadebo, Babatunde M. |
author_sort | Akinyemi, Joshua O. |
collection | PubMed |
description | BACKGROUND: One 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. RESULTS: The 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. CONCLUSION: Death 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. |
format | Online Article Text |
id | pubmed-6222986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62229862018-11-19 Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models Akinyemi, Joshua O. Bolajoko, Izzatullah Gbadebo, Babatunde M. J Health Popul Nutr Research Article BACKGROUND: One 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. RESULTS: The 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. CONCLUSION: Death 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. BioMed Central 2018-11-07 /pmc/articles/PMC6222986/ /pubmed/30404661 http://dx.doi.org/10.1186/s41043-018-0154-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Akinyemi, Joshua O. Bolajoko, Izzatullah Gbadebo, Babatunde M. Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models |
title | Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models |
title_full | Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models |
title_fullStr | Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models |
title_full_unstemmed | Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models |
title_short | Death of preceding child and maternal healthcare services utilisation in Nigeria: investigation using lagged logit models |
title_sort | death of preceding child and maternal healthcare services utilisation in nigeria: investigation using lagged logit models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222986/ https://www.ncbi.nlm.nih.gov/pubmed/30404661 http://dx.doi.org/10.1186/s41043-018-0154-0 |
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