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An equity dashboard to monitor vaccination coverage

Equity monitoring is a priority for Gavi, the Vaccine Alliance, and for those implementing The 2030 agenda for sustainable development. For its new phase of operations, Gavi reassessed its approach to monitoring equity in vaccination coverage. To help inform this effort, we made a systematic analysi...

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Autores principales: Arsenault, Catherine, Harper, Sam, Nandi, Arijit, Rodríguez, José M Mendoza, Hansen, Peter M, Johri, Mira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5327933/
https://www.ncbi.nlm.nih.gov/pubmed/28250513
http://dx.doi.org/10.2471/BLT.16.178079
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author Arsenault, Catherine
Harper, Sam
Nandi, Arijit
Rodríguez, José M Mendoza
Hansen, Peter M
Johri, Mira
author_facet Arsenault, Catherine
Harper, Sam
Nandi, Arijit
Rodríguez, José M Mendoza
Hansen, Peter M
Johri, Mira
author_sort Arsenault, Catherine
collection PubMed
description Equity monitoring is a priority for Gavi, the Vaccine Alliance, and for those implementing The 2030 agenda for sustainable development. For its new phase of operations, Gavi reassessed its approach to monitoring equity in vaccination coverage. To help inform this effort, we made a systematic analysis of inequalities in vaccination coverage across 45 Gavi-supported countries and compared results from different measurement approaches. Based on our findings, we formulated recommendations for Gavi’s equity monitoring approach. The approach involved defining the vulnerable populations, choosing appropriate measures to quantify inequalities, and defining equity benchmarks that reflect the ambitions of the sustainable development agenda. In this article, we explain the rationale for the recommendations and for the development of an improved equity monitoring tool. Gavi’s previous approach to measuring equity was the difference in vaccination coverage between a country’s richest and poorest wealth quintiles. In addition to the wealth index, we recommend monitoring other dimensions of vulnerability (maternal education, place of residence, child sex and the multidimensional poverty index). For dimensions with multiple subgroups, measures of inequality that consider information on all subgroups should be used. We also recommend that both absolute and relative measures of inequality be tracked over time. Finally, we propose that equity benchmarks target complete elimination of inequalities. To facilitate equity monitoring, we recommend the use of a data display tool – the equity dashboard – to support decision-making in the sustainable development period. We highlight its key advantages using data from Côte d’Ivoire and Haiti.
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spelling pubmed-53279332017-03-01 An equity dashboard to monitor vaccination coverage Arsenault, Catherine Harper, Sam Nandi, Arijit Rodríguez, José M Mendoza Hansen, Peter M Johri, Mira Bull World Health Organ Policy & Practice Equity monitoring is a priority for Gavi, the Vaccine Alliance, and for those implementing The 2030 agenda for sustainable development. For its new phase of operations, Gavi reassessed its approach to monitoring equity in vaccination coverage. To help inform this effort, we made a systematic analysis of inequalities in vaccination coverage across 45 Gavi-supported countries and compared results from different measurement approaches. Based on our findings, we formulated recommendations for Gavi’s equity monitoring approach. The approach involved defining the vulnerable populations, choosing appropriate measures to quantify inequalities, and defining equity benchmarks that reflect the ambitions of the sustainable development agenda. In this article, we explain the rationale for the recommendations and for the development of an improved equity monitoring tool. Gavi’s previous approach to measuring equity was the difference in vaccination coverage between a country’s richest and poorest wealth quintiles. In addition to the wealth index, we recommend monitoring other dimensions of vulnerability (maternal education, place of residence, child sex and the multidimensional poverty index). For dimensions with multiple subgroups, measures of inequality that consider information on all subgroups should be used. We also recommend that both absolute and relative measures of inequality be tracked over time. Finally, we propose that equity benchmarks target complete elimination of inequalities. To facilitate equity monitoring, we recommend the use of a data display tool – the equity dashboard – to support decision-making in the sustainable development period. We highlight its key advantages using data from Côte d’Ivoire and Haiti. World Health Organization 2017-02-01 2016-11-21 /pmc/articles/PMC5327933/ /pubmed/28250513 http://dx.doi.org/10.2471/BLT.16.178079 Text en (c) 2017 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Policy & Practice
Arsenault, Catherine
Harper, Sam
Nandi, Arijit
Rodríguez, José M Mendoza
Hansen, Peter M
Johri, Mira
An equity dashboard to monitor vaccination coverage
title An equity dashboard to monitor vaccination coverage
title_full An equity dashboard to monitor vaccination coverage
title_fullStr An equity dashboard to monitor vaccination coverage
title_full_unstemmed An equity dashboard to monitor vaccination coverage
title_short An equity dashboard to monitor vaccination coverage
title_sort equity dashboard to monitor vaccination coverage
topic Policy & Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5327933/
https://www.ncbi.nlm.nih.gov/pubmed/28250513
http://dx.doi.org/10.2471/BLT.16.178079
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