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Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis

BACKGROUND: Neonatal mortality is a global challenge; identification of individual and community determinants associated with it are important for targeted interventions. However in most low and middle income countries (LMICs) including Ghana this problem has not been adequately investigated as the...

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Autores principales: Kayode, Gbenga A, Ansah, Evelyn, Agyepong, Irene Akua, Amoakoh-Coleman, Mary, Grobbee, Diederick E, Klipstein-Grobusch, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036104/
https://www.ncbi.nlm.nih.gov/pubmed/24884759
http://dx.doi.org/10.1186/1471-2393-14-165
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author Kayode, Gbenga A
Ansah, Evelyn
Agyepong, Irene Akua
Amoakoh-Coleman, Mary
Grobbee, Diederick E
Klipstein-Grobusch, Kerstin
author_facet Kayode, Gbenga A
Ansah, Evelyn
Agyepong, Irene Akua
Amoakoh-Coleman, Mary
Grobbee, Diederick E
Klipstein-Grobusch, Kerstin
author_sort Kayode, Gbenga A
collection PubMed
description BACKGROUND: Neonatal mortality is a global challenge; identification of individual and community determinants associated with it are important for targeted interventions. However in most low and middle income countries (LMICs) including Ghana this problem has not been adequately investigated as the impact of contextual factors remains undetermined despite their significant influence on under-five mortality and morbidity. METHODS: Based on a modified conceptual framework for child survival, hierarchical modelling was deployed to examine about 6,900 women, aged 15 – 49 years (level 1), nested within 412 communities (level 2) in Ghana by analysing combined data of the 2003 and 2008 Ghana Demographic and Health Survey. The aim was to identify individual (maternal, paternal, neonatal, antenatal, delivery and postnatal) and community (socioeconomic disadvantage communities) determinants associated with neonatal mortality. RESULTS: The results showed both individual and community characteristics to be associated with neonatal mortality. Infants of multiple-gestation [OR 5.30; P-value < 0.001; 95% CI 2.81 – 10.00], neonates with inadequate birth spacing [OR 3.47; P-value < 0.01; 95% CI 1.60 – 7.57] and low birth weight [OR 2.01; P-value < 0.01; 95% CI 1.23 – 3.30] had a lower chance of surviving the neonatal period. Similarly, infants of grand multiparous mothers [OR 2.59; P-value < 0.05; 95% CI 1.03 – 6.49] and non-breastfed infants [OR 142.31; P-value < 0.001; 95% CI 80.19 – 252.54] were more likely to die during neonatal life, whereas adequate utilization of antenatal, delivery and postnatal health services [OR 0.25; P-value < 0.001; 95% CI 0.13 – 0.46] reduced the likelihood of neonatal mortality. Dwelling in a neighbourhood with high socioeconomic deprivation was associated with increased neonatal mortality [OR 3.38; P-value < 0.01; 95% CI 1.42 – 8.04]. CONCLUSION: Both individual and community characteristics show a marked impact on neonatal survival. Implementation of community-based interventions addressing basic education, poverty alleviation, women empowerment and infrastructural development and an increased focus on the continuum-of-care approach in healthcare service will improve neonatal survival.
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spelling pubmed-40361042014-05-29 Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis Kayode, Gbenga A Ansah, Evelyn Agyepong, Irene Akua Amoakoh-Coleman, Mary Grobbee, Diederick E Klipstein-Grobusch, Kerstin BMC Pregnancy Childbirth Research Article BACKGROUND: Neonatal mortality is a global challenge; identification of individual and community determinants associated with it are important for targeted interventions. However in most low and middle income countries (LMICs) including Ghana this problem has not been adequately investigated as the impact of contextual factors remains undetermined despite their significant influence on under-five mortality and morbidity. METHODS: Based on a modified conceptual framework for child survival, hierarchical modelling was deployed to examine about 6,900 women, aged 15 – 49 years (level 1), nested within 412 communities (level 2) in Ghana by analysing combined data of the 2003 and 2008 Ghana Demographic and Health Survey. The aim was to identify individual (maternal, paternal, neonatal, antenatal, delivery and postnatal) and community (socioeconomic disadvantage communities) determinants associated with neonatal mortality. RESULTS: The results showed both individual and community characteristics to be associated with neonatal mortality. Infants of multiple-gestation [OR 5.30; P-value < 0.001; 95% CI 2.81 – 10.00], neonates with inadequate birth spacing [OR 3.47; P-value < 0.01; 95% CI 1.60 – 7.57] and low birth weight [OR 2.01; P-value < 0.01; 95% CI 1.23 – 3.30] had a lower chance of surviving the neonatal period. Similarly, infants of grand multiparous mothers [OR 2.59; P-value < 0.05; 95% CI 1.03 – 6.49] and non-breastfed infants [OR 142.31; P-value < 0.001; 95% CI 80.19 – 252.54] were more likely to die during neonatal life, whereas adequate utilization of antenatal, delivery and postnatal health services [OR 0.25; P-value < 0.001; 95% CI 0.13 – 0.46] reduced the likelihood of neonatal mortality. Dwelling in a neighbourhood with high socioeconomic deprivation was associated with increased neonatal mortality [OR 3.38; P-value < 0.01; 95% CI 1.42 – 8.04]. CONCLUSION: Both individual and community characteristics show a marked impact on neonatal survival. Implementation of community-based interventions addressing basic education, poverty alleviation, women empowerment and infrastructural development and an increased focus on the continuum-of-care approach in healthcare service will improve neonatal survival. BioMed Central 2014-05-12 /pmc/articles/PMC4036104/ /pubmed/24884759 http://dx.doi.org/10.1186/1471-2393-14-165 Text en Copyright © 2014 Kayode et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Article
Kayode, Gbenga A
Ansah, Evelyn
Agyepong, Irene Akua
Amoakoh-Coleman, Mary
Grobbee, Diederick E
Klipstein-Grobusch, Kerstin
Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis
title Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis
title_full Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis
title_fullStr Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis
title_full_unstemmed Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis
title_short Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis
title_sort individual and community determinants of neonatal mortality in ghana: a multilevel analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036104/
https://www.ncbi.nlm.nih.gov/pubmed/24884759
http://dx.doi.org/10.1186/1471-2393-14-165
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