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      Mind the Gap: What explains the education-related inequality in missed opportunities for vaccination in sub-Saharan Africa? Compositional and structural characteristics

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          ABSTRACT

          Missed opportunities for vaccination (MOV) is an important barrier hindering full immunisation coverage among eligible children. Though factors responsible for MOV are well documented in literature, little attention has been paid to the role of inequalities. The aim of this study is to examine the association between structural or compositional factors and education inequalities in MOV. Blinder-Oaxaca decomposition technique was used to explain the factors contributing to the average gap in missed opportunities for vaccination between uneducated and educated mothers in sub-Saharan Africa using DHS survey data from 35 sub Saharan African countries collected between 2007 and 2016. The sample contained 69,657 children aged 12 to 23 months. We observed a wide variation and inter-country differences in the prevalence of missed opportunity for vaccination across populations and geographical locations. Our results show that the prevalence of MOV in Zimbabwe among uneducated and educated mothers was 9% and 21% respectively while in Gabon corresponding numbers were 85% and 89% respectively. In 15 countries, MOV was significantly prevalent among children born to uneducated mothers (pro-illiterate inequality) while in 5 countries MOV was significantly prevalent among educated mothers (pro-educated inequality). Our results suggest that education-related inequalities in missed opportunities for vaccination are explained by compositional and structural characteristics; and that neighbourhood socio-economic status was the most important contributor to education-related inequalities across countries followed by either the presence of under-five children, media access or household wealth index. The results showed that differential effects such as neighbourhood socio-economic status, presence of under-five children, media access and household wealth index, primarily explained education-related inequality in MOV. Interventions to reduce gaps in education-related inequality in MOV should focus on social determinants of health.

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          Wage Discrimination: Reduced Form and Structural Estimates

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            Measuring living standards with proxy variables.

            Very few demographic surveys in developing countries have gathered information on household incomes or consumption expenditures. Researchers interested in living standards therefore have had little alternative but to rely on simple proxy indicators. The properties of these proxies have not been analyzed systematically. We ask what hypotheses can be tested using proxies, and compare these indicators with consumption expenditures per adult, our preferred measure of living standards. We find that the proxies employed in much demographic research are very weak predictors of consumption per adult. Nevertheless, hypothesis tests based on proxies are likely to be powerful enough to warrant consideration.
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              Persistent Inequality in Educational Attainment and its Institutional Context

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                Author and article information

                Journal
                Hum Vaccin Immunother
                Hum Vaccin Immunother
                KHVI
                khvi20
                Human Vaccines & Immunotherapeutics
                Taylor & Francis
                2164-5515
                2164-554X
                2018
                11 May 2018
                11 May 2018
                : 14
                : 10
                : 2365-2372
                Affiliations
                [a ]Cochrane South Africa, South African Medical Research Council , Cape Town, South Africa
                [b ]Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University , Cape Town, South Africa
                [c ]Warwick-Centre for Applied Health Research and Delivery (WCAHRD), Division of Health Sciences, University of Warwick Medical School , Coventry, United Kingdom
                [d ]Center for Evidence Based Global Health, Department of Research and Development , Minna, Nigeria
                [e ]School of International Development and Global Studies, University of Ottawa , Ottawa, Ontario, Canada
                [f ]Independent Consultant , Geneva, Switzerland
                [g ]Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town , Cape Town, South Africa
                Author notes
                CONTACT Evanson Z. Sambala evanson.sambala@ 123456mrc.ac.za Cochrane South Africa, South African Medical Research Council , Tygerberg, South Africa

                Supplemental data for this article can be accessed on the publisher's website.

                [†]

                Evanson Z. Sambala and Olalekan A. Uthman contributed equally to this manuscript and are joint first authors.

                Author information
                https://orcid.org/0000-0002-0363-0812
                https://orcid.org/0000-0002-8567-3081
                https://orcid.org/0000-0003-3317-1319
                https://orcid.org/0000-0001-7129-3865
                https://orcid.org/0000-0002-2103-5355
                https://orcid.org/0000-0003-4461-3821
                https://orcid.org/0000-0002-4876-6043
                https://orcid.org/0000-0002-1273-4779
                Article
                1460985
                10.1080/21645515.2018.1460985
                6284484
                29630441
                380ffa86-eb0b-437d-bb46-aa6c547f039e
                © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC

                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.

                History
                : 6 February 2018
                : 13 March 2018
                : 16 March 2018
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 29, Pages: 8
                Funding
                Funded by: National Research Foundation of South Africa
                Award ID: 106035
                This paper presents independent research supported wholly by the National Research Foundation of South Africa (Grant Number: 106035).
                Categories
                Research Paper

                Molecular medicine
                missed opportunities for vaccination,compositional and structural factors,education-related inequality,immunisation coverage,dhs survey data,prevalence of mov

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