Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A Multicountry Analyses. Issue 10 (3rd October 2018)

• Record Type: Journal Article
• Authors: 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.
• Is Part Of: Human vaccines & immunotherapeutics. Volume 14:Issue 10(2018)
• Page Start: 2358
• Page End: 2364
• Publication Date: 2018-10-03
• Subjects: Missed opportunities for vaccination -- inequality in missed opportunities for vaccination -- immunisation coverage -- DHS survey data -- Decomposition analysis -- sub-Saharan Africa; Vaccines -- Periodicals; 615.372
• DOI: 10.1080/21645515.2018.1467685
• Languages: English
• ISSNs: 2164-5515

Abstract

ABSTRACT: 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.