Cargando…
Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health
INTRODUCTION: Wealth-related inequalities in reproductive, maternal, neonatal and child health have been widely studied by dividing the population into quintiles. We present a comprehensive analysis of wealth inequalities for the composite coverage index (CCI) using national health surveys carried o...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042578/ https://www.ncbi.nlm.nih.gov/pubmed/32133180 http://dx.doi.org/10.1136/bmjgh-2019-002229 |
_version_ | 1783501331924779008 |
---|---|
author | Barros, Aluisio J D Wehrmeister, Fernando C Ferreira, Leonardo Zanini Vidaletti, Luis Paulo Hosseinpoor, Ahmad Reza Victora, Cesar G |
author_facet | Barros, Aluisio J D Wehrmeister, Fernando C Ferreira, Leonardo Zanini Vidaletti, Luis Paulo Hosseinpoor, Ahmad Reza Victora, Cesar G |
author_sort | Barros, Aluisio J D |
collection | PubMed |
description | INTRODUCTION: Wealth-related inequalities in reproductive, maternal, neonatal and child health have been widely studied by dividing the population into quintiles. We present a comprehensive analysis of wealth inequalities for the composite coverage index (CCI) using national health surveys carried out since 2010, using wealth deciles and absolute income estimates as stratification variables, and show how these new approaches expand on traditional equity analyses. METHODS: 83 low-income and middle-income countries were studied. The CCI is a combined measure of coverage with eight key reproductive, maternal, newborn and child health interventions. It was disaggregated by wealth deciles for visual inspection of inequalities, and the slope index of inequality (SII) was estimated. The correlation between coverage in the extreme deciles and SII was assessed. Finally, we used multilevel models to examine how the CCI varies according to the estimated absolute income for each wealth quintile in the surveys. RESULTS: The analyses of coverage by wealth deciles and by absolute income show that inequality is mostly driven by coverage among the poor, which is much more variable than coverage among the rich across countries. Regardless of national coverage, in 61 of the countries, the wealthiest decile achieved 70% or higher CCI coverage. Well-performing countries were particularly effective in achieving high coverage among the poor. In contrast, underperforming countries failed to reach the poorest, despite reaching the better-off. CONCLUSION: There are huge inequalities between the richest and the poorest women and children in most countries. These inequalities are strongly driven by low coverage among the poorest given the wealthiest groups achieve high coverage irrespective of where they live, overcoming any barriers that are an impediment to others. Countries that ‘punched above their weight’ in coverage, given their level of absolute wealth, were those that best managed to reach their poorest women and children. |
format | Online Article Text |
id | pubmed-7042578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70425782020-03-04 Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health Barros, Aluisio J D Wehrmeister, Fernando C Ferreira, Leonardo Zanini Vidaletti, Luis Paulo Hosseinpoor, Ahmad Reza Victora, Cesar G BMJ Glob Health Original Research INTRODUCTION: Wealth-related inequalities in reproductive, maternal, neonatal and child health have been widely studied by dividing the population into quintiles. We present a comprehensive analysis of wealth inequalities for the composite coverage index (CCI) using national health surveys carried out since 2010, using wealth deciles and absolute income estimates as stratification variables, and show how these new approaches expand on traditional equity analyses. METHODS: 83 low-income and middle-income countries were studied. The CCI is a combined measure of coverage with eight key reproductive, maternal, newborn and child health interventions. It was disaggregated by wealth deciles for visual inspection of inequalities, and the slope index of inequality (SII) was estimated. The correlation between coverage in the extreme deciles and SII was assessed. Finally, we used multilevel models to examine how the CCI varies according to the estimated absolute income for each wealth quintile in the surveys. RESULTS: The analyses of coverage by wealth deciles and by absolute income show that inequality is mostly driven by coverage among the poor, which is much more variable than coverage among the rich across countries. Regardless of national coverage, in 61 of the countries, the wealthiest decile achieved 70% or higher CCI coverage. Well-performing countries were particularly effective in achieving high coverage among the poor. In contrast, underperforming countries failed to reach the poorest, despite reaching the better-off. CONCLUSION: There are huge inequalities between the richest and the poorest women and children in most countries. These inequalities are strongly driven by low coverage among the poorest given the wealthiest groups achieve high coverage irrespective of where they live, overcoming any barriers that are an impediment to others. Countries that ‘punched above their weight’ in coverage, given their level of absolute wealth, were those that best managed to reach their poorest women and children. BMJ Publishing Group 2020-01-26 /pmc/articles/PMC7042578/ /pubmed/32133180 http://dx.doi.org/10.1136/bmjgh-2019-002229 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Barros, Aluisio J D Wehrmeister, Fernando C Ferreira, Leonardo Zanini Vidaletti, Luis Paulo Hosseinpoor, Ahmad Reza Victora, Cesar G Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health |
title | Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health |
title_full | Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health |
title_fullStr | Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health |
title_full_unstemmed | Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health |
title_short | Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health |
title_sort | are the poorest poor being left behind? estimating global inequalities in reproductive, maternal, newborn and child health |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042578/ https://www.ncbi.nlm.nih.gov/pubmed/32133180 http://dx.doi.org/10.1136/bmjgh-2019-002229 |
work_keys_str_mv | AT barrosaluisiojd arethepoorestpoorbeingleftbehindestimatingglobalinequalitiesinreproductivematernalnewbornandchildhealth AT wehrmeisterfernandoc arethepoorestpoorbeingleftbehindestimatingglobalinequalitiesinreproductivematernalnewbornandchildhealth AT ferreiraleonardozanini arethepoorestpoorbeingleftbehindestimatingglobalinequalitiesinreproductivematernalnewbornandchildhealth AT vidalettiluispaulo arethepoorestpoorbeingleftbehindestimatingglobalinequalitiesinreproductivematernalnewbornandchildhealth AT hosseinpoorahmadreza arethepoorestpoorbeingleftbehindestimatingglobalinequalitiesinreproductivematernalnewbornandchildhealth AT victoracesarg arethepoorestpoorbeingleftbehindestimatingglobalinequalitiesinreproductivematernalnewbornandchildhealth |