2020
DOI: 10.1136/bmjgh-2019-002232
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Large and persistent subnational inequalities in reproductive, maternal, newborn and child health intervention coverage in sub-Saharan Africa

Abstract: Subnational inequalities have received limited attention in the monitoring of progress towards national and global health targets during the past two decades. Yet, such data are often a critical basis for health planning and monitoring in countries, in support of efforts to reach all with essential interventions. Household surveys provide a rich basis for interventions coverage indicators on reproductive, maternal, newborn and child health (RMNCH) at the country first administrative level (regions or provinces… Show more

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Cited by 34 publications
(45 citation statements)
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“…Constructing SVI COVID-19 disease vulnerability indices have been created using different approaches ranging from technical [50][51][52] to simpler approaches. [53][54][55] In this analysis, the indices were created following approaches used to define universal health coverage (UHC) and equity in maternal and child health, [56][57][58][59][60] infectious disease vulnerability index 61 and some of the recent COVID-19 vulnerability indices. [53][54][55] To create SVI for Kenyan subcounties, three subdomain indices were first defined based on major thematic areas related to COVID-19 vulnerability (table 1 and figure 1).…”
Section: Data Assemblymentioning
confidence: 99%
“…Constructing SVI COVID-19 disease vulnerability indices have been created using different approaches ranging from technical [50][51][52] to simpler approaches. [53][54][55] In this analysis, the indices were created following approaches used to define universal health coverage (UHC) and equity in maternal and child health, [56][57][58][59][60] infectious disease vulnerability index 61 and some of the recent COVID-19 vulnerability indices. [53][54][55] To create SVI for Kenyan subcounties, three subdomain indices were first defined based on major thematic areas related to COVID-19 vulnerability (table 1 and figure 1).…”
Section: Data Assemblymentioning
confidence: 99%
“…de Pelotas, Pelotas, Brazil. 3 WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.…”
Section: Acknowledgementsmentioning
confidence: 99%
“…Despite progress in the area, with the increase in coverage of several indicators, there is yet much to be achieved [ 2 ]. Planning and implementation of essential health interventions, delivered by supporting organizations and governments, is mainly done at small administrative divisions such as districts, states, provinces, regions or counties [ 3 ]. This requires geographically disaggregated information, which enables more precise adjustment of policies and targeting of resources [ 4 ].…”
Section: Introductionmentioning
confidence: 99%
“…The main possible reason could be poor people might be spending more time on income making opportunities rather than accessing the services. 13 Health-seeking attitudes and practices of poor and less educated people might also have contributed to the observed inequality. Health facility waiting time and indirect costs which accumulated for travel to immunization centers might be possible factors that could hinder service-seeking behavior, hence leading to inequality.…”
Section: Discussionmentioning
confidence: 99%
“…5 Despite some improvements in global immunization coverage, there remains considerable regional and local inequalities 2,[6][7][8][9][10][11][12][13][14][15][16] that are due to several reasons such as family-related social and behavioral factors, resources limitation, competing health priorities, poor management, and inadequate monitoring and supervision. 2,[6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] Apart from several challenges, inequality in newborn and child health interventions, particularly immunization and vitamin A supplementation, are a major concern impeding developing countries to achieve child health-related desired targets. [15][16][17][18][19] Inequality in childhood immunization can be linked to economic status and mother's education level, place of residence, and child sex.…”
Section: Introductionmentioning
confidence: 99%