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Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996-2016.
França, Elisabeth; Ishitani, Lenice Harumi; Teixeira, Renato; Duncan, Bruce B; Marinho, Fatima; Naghavi, Mohsen.
Afiliação
  • França E; Programa de Pós-Graduação em Saúde Pública, Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, sala 731, Santa Efigênia, Belo Horizonte, MG, 30130-100, Brazil. efranca.med@gmail.com.
  • Ishitani LH; Research Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil. efranca.med@gmail.com.
  • Teixeira R; Research Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.
  • Duncan BB; Research Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.
  • Marinho F; Programa de Pós-graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600/414, Porto Alegre, 90035-003, Brazil.
  • Naghavi M; Research Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.
Popul Health Metr ; 18(Suppl 1): 20, 2020 09 30.
Article em En | MEDLINE | ID: mdl-32993689
ABSTRACT

BACKGROUND:

Registered causes in vital statistics classified as garbage codes (GC) are considered indicators of quality of cause-of-death data. Our aim was to describe temporal changes in this quality in Brazil, and the leading GCs according to levels assembled for the Global Burden of Disease (GBD) study. We also assessed socioeconomic differences in the burden of different levels of GCs at a regional level.

METHODS:

We extracted data from the Brazilian Mortality Information System from 1996 to 2016. All three- and four-digit ICD-10 codes considered GC were selected and classified into four categories, according to the GBD study proposal. GC levels 1 and 2 are the most damaging unusable codes, or major GCs. Proportionate distribution of deaths by GC levels according selected variables were performed. Age-standardized mortality rates after correction of underreporting of deaths were calculated to investigate temporal relationships as was the linear association adjusted for completeness between GC rates in states and the Sociodemographic Index (SDI) from the GBD study, for 1996-2005 and 2006-2016. We classified Brazilian states into three classes of development by applying tertiles cutoffs in the SDI state-level estimates.

RESULTS:

Age-standardized mortality rates due to GCs in Brazil decreased from 1996 to 2016, particularly level 1 GCs. The most important GC groups were ill-defined causes (level 1) in 1996, and pneumonia unspecified (level 4) in 2016. At state level, there was a significant inverse association between SDI and the rate of level 1-2 GCs in 1996-2005, but both SDI and completeness had a non-expected significant direct association with levels 3-4. In 2006-2016, states with higher SDIs tended to have lower rates of all types of GCs. Mortality rates due to major GCs decreased in all three SDI classes in 1996-2016, but GC levels 3-4 decreased only in the high SDI category. States classified in the low or medium SDI groups were responsible for the most important decline of major GCs.

CONCLUSION:

Occurrence of major GCs are associated with socioeconomic determinants over time in Brazil. Their reduction with decreasing disparity in rates between socioeconomic groups indicates progress in reducing inequalities and strengthening cause-of-death statistics in the country.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coleta de Dados / Causas de Morte / Carga Global da Doença Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Popul Health Metr Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coleta de Dados / Causas de Morte / Carga Global da Doença Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Popul Health Metr Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil