Data de publicação
Fevereiro de 2024
Periódico
Public Health
Resumo
Objetives – The aim of this study was to analyse the trends of avoidable mortality in Brazil from 1990 to 2019 and its correlation with sociodemographic indexes (SDIs).
Study design – Epidemiological mortality trends.
Methods – This study analysed data from the Global Burden of Disease database. The list of causes of avoidable death, as proposed by Nolte and McKee, was applied and included 32 causes. The current study used age-standardised mortality rates and the rates of change, in addition to a correlation analysis between avoidable death and the SDI.
Results – Mortality rates decreased from 343.90/100,000 inhabitants in 1990 to 155.80/100,000 inhabitants in 2019. Infectious diseases showed the largest decline in mortality rates, but notable decreases were also found for diarrhoeal diseases (-94.9%), maternal conditions (-66.5%) and neonatal conditions (-60.5%). Mortality rates for non-communicable diseases (NCDs) also decreased (-48%) but maintained a similar absolute number of deaths in 2019 compared with 1990. Decreased mortality rates were also found for ischaemic heart disease (-49.1%), stroke (-61.4%) and deaths due to adverse effects caused by medical treatments (-26.2%). Avoidable mortality rates declined in all of the 27 Brazilian states, and a high correlation was found between deaths and SDI (R = -0.74; P < 0.000001).
Conclusions – A reduction in avoidable deaths was found throughout Brazil over the study period, although major regional inequalities were revealed. Richer states presented the best overall reduction in mortality rates. The biggest decreases in mortality were seen in maternal and paediatric infectious diseases in the poorest states due to the expansion of the Primary Health System and improvements in sanitation. Today, NCDs predominate and efforts should be made to formulate public policies for the prevention and control of NCDs.
DOI/link
https://doi.org/10.1016/j.puhe.2023.12.012
Autoria
Vínculo institucional
Lattes
Orcid
Deborah Carvalho Malta
Departamento de Enfermagem Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
Rafaela Magalhães Fernandes Saltarelli
Departamento de Medicina e Enfermagem, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
Guilherme Augusto Veloso
Departamento de Estatística, Instituto de Matemática e Estatística, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
Crizian Saar Gomes
Programa de Pós-graduação em Saúde Pública, Faculdade de Medicina, Belo Horizonte, Minas Gerais, Brazil
Adauto Martins Soares Filho
Programa de Pós-graduação em Saúde Pública, Faculdade de Medicina, Belo Horizonte, Minas Gerais, Brazil
Ed Wilson Rodrigues Vieira
Departamento de Enfermagem Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
Mariana Santos Felisbino Mendes
Departamento de Enfermagem Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
Mohsen Naghavi
University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, USA
Antonio Luiz Pinho Ribeiro
Faculdade de Medicina, Hospital das Clínicas da UFMG, Belo Horizonte, Minas Gerais, Brazil