Health inequalities in Brazil: proposed prioritization to achieve the Sustainable Development Goals.

Wanessa Debôrtoli de Miranda, Gabriela Drummond Marques da Silva, Luísa da Matta Machado Fernandes, Fabrício Silveira, Rômulo Paes de Sousa
Author Information
  1. Wanessa Debôrtoli de Miranda: Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil. ORCID
  2. Gabriela Drummond Marques da Silva: Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brasil. ORCID
  3. Luísa da Matta Machado Fernandes: Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brasil. ORCID
  4. Fabrício Silveira: Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brasil. ORCID
  5. Rômulo Paes de Sousa: Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brasil. ORCID

Abstract

This study aimed to develop a prioritization index to speed up the achievement of national health targets proposed in the 2030 Agenda. This is an ecological study that addressed the Health Regions in Brazil. The index incorporated 25 indicators with analytical proximity to the official indicators of the 2030 Agenda whose data are available from public municipal sources for the period of 2015-2019. According to our study, the index was a powerful method to support health management decisions. The results showed the most vulnerable territories are located in the North Region of the country, and therefore, these are priority areas for resource allocation. The analysis of subindices highlighted local health bottlenecks, reinforcing the need for municipalities in each region to set their own priorities while making decisions for health resource allocation. By indicating Health Regions and priority themes for more investments, this investigation shows paths to support the implementation of the 2030 Agenda, from the local to the national level, in addition to providing elements that can be used by policy makers to minimize the effects of social inequalities on health, prioritizing territories with worse indices.

MeSH Term

Humans
Sustainable Development
Brazil
Cities
Socioeconomic Factors

Word Cloud

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