Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://hdl.handle.net/1843/59947 |
Resumo: | The extended scope and complexity of the United Nations 2030 agenda entail important challenges for the operationalization of the health-related sustainable development goal (SDG) indicators. Divergences in concepts, agendas and implementation strategies among institutions have fostered the parallel development of alternative and concurrent indicators. We aim to determine the convergences and divergences between five key institutions: the Global Burden of Disease Study (GBD), the Pan American Health Organization, the Sustainable Development Solutions Network, the World Bank and the World Health Organization (WHO). Of the 104 health-related indicators listed by these five institutions, 60 are consistent with official Inter-agency and Expert Group SDG indicators. Our analysis considers the indicators included, and the themes these indicators cover, in each institution list and each institution online platform. We quantified convergence in indicators between the institutions themselves, but also between the institutions and the official Inter-agency and Expert Group. Our results indicate important divergences; only 22 of the 60 indicators are included in the lists of all five institutions. The level of adoption of the official metrics varies from 40.5% (15/(47-10)) for the GBD to 86.2% (25/(29-0)) for the World Bank. WHO, the official curator of the Inter-agency and Expert Group SDG indicators, is only convergent with the official metrics by 72.1% (31/(45-2)). Our analysis, and the resulting awareness of the differences, potentialities and limitations of indicators and platforms, provides important contributions to enable the achievement of the health-related SDGs and deliver the promise of the 2030 agenda. |
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2023-10-24T18:25:18Z2023-10-24T18:25:18Z202199322823510.2471/BLT.19.2458110042-9686http://hdl.handle.net/1843/59947The extended scope and complexity of the United Nations 2030 agenda entail important challenges for the operationalization of the health-related sustainable development goal (SDG) indicators. Divergences in concepts, agendas and implementation strategies among institutions have fostered the parallel development of alternative and concurrent indicators. We aim to determine the convergences and divergences between five key institutions: the Global Burden of Disease Study (GBD), the Pan American Health Organization, the Sustainable Development Solutions Network, the World Bank and the World Health Organization (WHO). Of the 104 health-related indicators listed by these five institutions, 60 are consistent with official Inter-agency and Expert Group SDG indicators. Our analysis considers the indicators included, and the themes these indicators cover, in each institution list and each institution online platform. We quantified convergence in indicators between the institutions themselves, but also between the institutions and the official Inter-agency and Expert Group. Our results indicate important divergences; only 22 of the 60 indicators are included in the lists of all five institutions. The level of adoption of the official metrics varies from 40.5% (15/(47-10)) for the GBD to 86.2% (25/(29-0)) for the World Bank. WHO, the official curator of the Inter-agency and Expert Group SDG indicators, is only convergent with the official metrics by 72.1% (31/(45-2)). Our analysis, and the resulting awareness of the differences, potentialities and limitations of indicators and platforms, provides important contributions to enable the achievement of the health-related SDGs and deliver the promise of the 2030 agenda.O amplo âmbito e complexidade da agenda 2030 das Nações Unidas implicam desafios importantes para a operacionalização dos indicadores dos Objectivos de Desenvolvimento Sustentável (ODS) relacionados com a saúde. As divergências em conceitos, agendas e estratégias de implementação entre instituições promoveram o desenvolvimento paralelo de indicadores alternativos e concorrentes. Nosso objetivo é determinar as convergências e divergências entre cinco instituições principais: o Estudo da Carga Global de Doenças (GBD), a Organização Pan-Americana da Saúde, a Rede de Soluções para o Desenvolvimento Sustentável, o Banco Mundial e a Organização Mundial da Saúde (OMS). Dos 104 indicadores relacionados com a saúde listados por estas cinco instituições, 60 são consistentes com os indicadores oficiais dos ODS entre agências e grupos de peritos. A nossa análise considera os indicadores incluídos, e os temas que estes indicadores abrangem, na lista de cada instituição e na plataforma online de cada instituição. Quantificámos a convergência dos indicadores entre as próprias instituições, mas também entre as instituições e o grupo oficial interinstitucional e de peritos. Nossos resultados indicam divergências importantes; apenas 22 dos 60 indicadores estão incluídos nas listas de todas as cinco instituições. O nível de adoção de métricas oficiais varia de 40,5% (15/(47-10)) para o GBD a 86,2% (25/(29-0)) para o Banco Mundial. A OMS, curadora oficial dos indicadores dos ODS entre agências e grupos de especialistas, apenas converge com as métricas oficiais em 72,1% (31/(45-2)). A nossa análise, e a consequente consciência das diferenças, potencialidades e limitações dos indicadores e plataformas, fornecem contributos importantes para permitir a consecução dos ODS relacionados com a saúde e cumprir a promessa da agenda 2030.engUniversidade Federal de Minas GeraisUFMGBrasilFCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICASBulletin of the World Health OrganizationNações UnidasDesenvolvimento sustentávelUnited Nations2030 agendaHealth-related sustainable development goalQuantifying convergence on health-related indicators of the 2030 agenda for sustainable developmentinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://pubmed.ncbi.nlm.nih.gov/33716345/Ana Luísa MartinsFabrício SilveiraPaulo GadelhaRômulo Paes-Sousainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/59947/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALQuantifying convergence on health-related indicators of the 2030.pdfQuantifying convergence on health-related indicators of the 2030.pdfapplication/pdf2455681https://repositorio.ufmg.br/bitstream/1843/59947/2/Quantifying%20convergence%20on%20health-related%20indicators%20of%20the%202030.pdfcfe8670a789957bc12406b4c761f81f9MD521843/599472023-10-24 17:28:34.771oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-24T20:28:34Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
title |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
spellingShingle |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development Ana Luísa Martins United Nations 2030 agenda Health-related sustainable development goal Nações Unidas Desenvolvimento sustentável |
title_short |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
title_full |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
title_fullStr |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
title_full_unstemmed |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
title_sort |
Quantifying convergence on health-related indicators of the 2030 agenda for sustainable development |
author |
Ana Luísa Martins |
author_facet |
Ana Luísa Martins Fabrício Silveira Paulo Gadelha Rômulo Paes-Sousa |
author_role |
author |
author2 |
Fabrício Silveira Paulo Gadelha Rômulo Paes-Sousa |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Ana Luísa Martins Fabrício Silveira Paulo Gadelha Rômulo Paes-Sousa |
dc.subject.por.fl_str_mv |
United Nations 2030 agenda Health-related sustainable development goal |
topic |
United Nations 2030 agenda Health-related sustainable development goal Nações Unidas Desenvolvimento sustentável |
dc.subject.other.pt_BR.fl_str_mv |
Nações Unidas Desenvolvimento sustentável |
description |
The extended scope and complexity of the United Nations 2030 agenda entail important challenges for the operationalization of the health-related sustainable development goal (SDG) indicators. Divergences in concepts, agendas and implementation strategies among institutions have fostered the parallel development of alternative and concurrent indicators. We aim to determine the convergences and divergences between five key institutions: the Global Burden of Disease Study (GBD), the Pan American Health Organization, the Sustainable Development Solutions Network, the World Bank and the World Health Organization (WHO). Of the 104 health-related indicators listed by these five institutions, 60 are consistent with official Inter-agency and Expert Group SDG indicators. Our analysis considers the indicators included, and the themes these indicators cover, in each institution list and each institution online platform. We quantified convergence in indicators between the institutions themselves, but also between the institutions and the official Inter-agency and Expert Group. Our results indicate important divergences; only 22 of the 60 indicators are included in the lists of all five institutions. The level of adoption of the official metrics varies from 40.5% (15/(47-10)) for the GBD to 86.2% (25/(29-0)) for the World Bank. WHO, the official curator of the Inter-agency and Expert Group SDG indicators, is only convergent with the official metrics by 72.1% (31/(45-2)). Our analysis, and the resulting awareness of the differences, potentialities and limitations of indicators and platforms, provides important contributions to enable the achievement of the health-related SDGs and deliver the promise of the 2030 agenda. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2023-10-24T18:25:18Z |
dc.date.available.fl_str_mv |
2023-10-24T18:25:18Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/59947 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.2471/BLT.19.245811 |
dc.identifier.issn.pt_BR.fl_str_mv |
0042-9686 |
identifier_str_mv |
10.2471/BLT.19.245811 0042-9686 |
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http://hdl.handle.net/1843/59947 |
dc.language.iso.fl_str_mv |
eng |
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eng |
dc.relation.ispartof.none.fl_str_mv |
Bulletin of the World Health Organization |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
FCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS |
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Universidade Federal de Minas Gerais |
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reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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