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Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses

Understanding the gaps in missed opportunities for vaccination (MOV) in sub-Saharan Africa would inform interventions for improving immunisation coverage to achieving universal childhood immunisation. We aimed to conduct a multicountry analyses to decompose the gap in MOV between poor and non-poor i...

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Autores principales: Ndwandwe, Duduzile, Uthman, Olalekan A., Adamu, Abdu A., Sambala, Evanson Z., Wiyeh, Alison B., Olukade, Tawa, Bishwajit, Ghose, Yaya, Sanni, Okwo-Bele, Jean-Marie, Wiysonge, Charles S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284496/
https://www.ncbi.nlm.nih.gov/pubmed/29688133
http://dx.doi.org/10.1080/21645515.2018.1467685
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author Ndwandwe, Duduzile
Uthman, Olalekan A.
Adamu, Abdu A.
Sambala, Evanson Z.
Wiyeh, Alison B.
Olukade, Tawa
Bishwajit, Ghose
Yaya, Sanni
Okwo-Bele, Jean-Marie
Wiysonge, Charles S.
author_facet Ndwandwe, Duduzile
Uthman, Olalekan A.
Adamu, Abdu A.
Sambala, Evanson Z.
Wiyeh, Alison B.
Olukade, Tawa
Bishwajit, Ghose
Yaya, Sanni
Okwo-Bele, Jean-Marie
Wiysonge, Charles S.
author_sort Ndwandwe, Duduzile
collection PubMed
description Understanding the gaps in missed opportunities for vaccination (MOV) in sub-Saharan Africa would inform interventions for improving immunisation coverage to achieving universal childhood immunisation. We aimed to conduct a multicountry analyses to decompose the gap in MOV between poor and non-poor in SSA. We used cross-sectional data from 35 Demographic and Health Surveys in SSA conducted between 2007 and 2016. Descriptive statistics used to understand the gap in MOV between the urban poor and non-poor, and across the selected covariates. Out of the 35 countries included in this analysis, 19 countries showed pro-poor inequality, 5 showed pro-non-poor inequality and remaining 11 countries showed no statistically significant inequality. Among the countries with statistically significant pro-illiterate inequality, the risk difference ranged from 4.2% in DR Congo to 20.1% in Kenya. Important factors responsible for the inequality varied across countries. In Madagascar, the largest contributors to inequality in MOV were media access, number of under-five children, and maternal education. However, in Liberia media access narrowed inequality in MOV between poor and non-poor households. The findings indicate that in most SSA countries, children belonging to poor households are most likely to have MOV and that socio-economic inequality in is determined not only by health system functions, but also by factors beyond the scope of health authorities and care delivery system. The findings suggest the need for addressing social determinants of health.
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spelling pubmed-62844962018-12-10 Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses Ndwandwe, Duduzile Uthman, Olalekan A. Adamu, Abdu A. Sambala, Evanson Z. Wiyeh, Alison B. Olukade, Tawa Bishwajit, Ghose Yaya, Sanni Okwo-Bele, Jean-Marie Wiysonge, Charles S. Hum Vaccin Immunother Research Paper Understanding the gaps in missed opportunities for vaccination (MOV) in sub-Saharan Africa would inform interventions for improving immunisation coverage to achieving universal childhood immunisation. We aimed to conduct a multicountry analyses to decompose the gap in MOV between poor and non-poor in SSA. We used cross-sectional data from 35 Demographic and Health Surveys in SSA conducted between 2007 and 2016. Descriptive statistics used to understand the gap in MOV between the urban poor and non-poor, and across the selected covariates. Out of the 35 countries included in this analysis, 19 countries showed pro-poor inequality, 5 showed pro-non-poor inequality and remaining 11 countries showed no statistically significant inequality. Among the countries with statistically significant pro-illiterate inequality, the risk difference ranged from 4.2% in DR Congo to 20.1% in Kenya. Important factors responsible for the inequality varied across countries. In Madagascar, the largest contributors to inequality in MOV were media access, number of under-five children, and maternal education. However, in Liberia media access narrowed inequality in MOV between poor and non-poor households. The findings indicate that in most SSA countries, children belonging to poor households are most likely to have MOV and that socio-economic inequality in is determined not only by health system functions, but also by factors beyond the scope of health authorities and care delivery system. The findings suggest the need for addressing social determinants of health. Taylor & Francis 2018-06-01 /pmc/articles/PMC6284496/ /pubmed/29688133 http://dx.doi.org/10.1080/21645515.2018.1467685 Text en © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Research Paper
Ndwandwe, Duduzile
Uthman, Olalekan A.
Adamu, Abdu A.
Sambala, Evanson Z.
Wiyeh, Alison B.
Olukade, Tawa
Bishwajit, Ghose
Yaya, Sanni
Okwo-Bele, Jean-Marie
Wiysonge, Charles S.
Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses
title Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses
title_full Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses
title_fullStr Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses
title_full_unstemmed Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses
title_short Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses
title_sort decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-saharan africa: a multicountry analyses
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284496/
https://www.ncbi.nlm.nih.gov/pubmed/29688133
http://dx.doi.org/10.1080/21645515.2018.1467685
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