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The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis

BACKGROUND: Inequality in healthcare across population groups in low-income countries is a growing topic of interest in global health. The Lives Saved Tool (LiST), which uses health intervention coverage to model maternal, neonatal, and child health outcomes such as mortality rates, can be used to a...

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Autor principal: Clermont, Adrienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688502/
https://www.ncbi.nlm.nih.gov/pubmed/29143623
http://dx.doi.org/10.1186/s12889-017-4737-2
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author Clermont, Adrienne
author_facet Clermont, Adrienne
author_sort Clermont, Adrienne
collection PubMed
description BACKGROUND: Inequality in healthcare across population groups in low-income countries is a growing topic of interest in global health. The Lives Saved Tool (LiST), which uses health intervention coverage to model maternal, neonatal, and child health outcomes such as mortality rates, can be used to analyze the impact of within-country inequality. METHODS: Data from nationally representative household surveys (98 surveys conducted between 1998 and 2014), disaggregated by wealth quintile, were used to create a LiST analysis that models the impact of scaling up health intervention coverage for the entire country from the national average to the rate of the top wealth quintile (richest 20% of the population). Interventions for which household survey data are available were used as proxies for other interventions that are not measured in surveys, based on co-delivery of intervention packages. RESULTS: For the 98 countries included in the analysis, 24–32% of child deaths (including 34–47% of neonatal deaths and 16–19% of post-neonatal deaths) could be prevented by scaling up national coverage of key health interventions to the level of the top wealth quintile. On average, the interventions with most unequal coverage rates across wealth quintiles were those related to childbirth in health facilities and to water and sanitation infrastructure; the most equally distributed were those delivered through community-based mass campaigns, such as vaccines, vitamin A supplementation, and bednet distribution. CONCLUSIONS: LiST is a powerful tool for exploring the policy and programmatic implications of within-country inequality in low-income, high-mortality-burden countries. An “Equity Tool” app has been developed within the software to make this type of analysis easily accessible to users. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-017-4737-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-56885022017-11-22 The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis Clermont, Adrienne BMC Public Health Research BACKGROUND: Inequality in healthcare across population groups in low-income countries is a growing topic of interest in global health. The Lives Saved Tool (LiST), which uses health intervention coverage to model maternal, neonatal, and child health outcomes such as mortality rates, can be used to analyze the impact of within-country inequality. METHODS: Data from nationally representative household surveys (98 surveys conducted between 1998 and 2014), disaggregated by wealth quintile, were used to create a LiST analysis that models the impact of scaling up health intervention coverage for the entire country from the national average to the rate of the top wealth quintile (richest 20% of the population). Interventions for which household survey data are available were used as proxies for other interventions that are not measured in surveys, based on co-delivery of intervention packages. RESULTS: For the 98 countries included in the analysis, 24–32% of child deaths (including 34–47% of neonatal deaths and 16–19% of post-neonatal deaths) could be prevented by scaling up national coverage of key health interventions to the level of the top wealth quintile. On average, the interventions with most unequal coverage rates across wealth quintiles were those related to childbirth in health facilities and to water and sanitation infrastructure; the most equally distributed were those delivered through community-based mass campaigns, such as vaccines, vitamin A supplementation, and bednet distribution. CONCLUSIONS: LiST is a powerful tool for exploring the policy and programmatic implications of within-country inequality in low-income, high-mortality-burden countries. An “Equity Tool” app has been developed within the software to make this type of analysis easily accessible to users. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-017-4737-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-07 /pmc/articles/PMC5688502/ /pubmed/29143623 http://dx.doi.org/10.1186/s12889-017-4737-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Clermont, Adrienne
The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis
title The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis
title_full The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis
title_fullStr The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis
title_full_unstemmed The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis
title_short The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis
title_sort impact of eliminating within-country inequality in health coverage on maternal and child mortality: a lives saved tool analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688502/
https://www.ncbi.nlm.nih.gov/pubmed/29143623
http://dx.doi.org/10.1186/s12889-017-4737-2
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