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PubMed: 31800857 DOI: 10.1590/1980-549720190005.supl.3

Data for health: impact on improving the quality of cause-of-death information in Brazil.

Rev Bras Epidemiol 22Suppl 3(Suppl 3):e19005.supl.3

Authors: Maria Fatima Marinho, Elisabeth Barboza França, Renato Azeredo Teixeira, Lenice Harumi Ishitani, Carolina Cândida da Cunha, Mayara Rocha Dos Santos, Ashley Frederes, Juan José Cortez-Escalante, Daisy Maria Xavier de Abreu

Affiliations

  • Instituto de Estudos Avançados, Universidade de São Paulo - São Paulo (SP), Brasil.
  • Programa de Pós-graduação em Saúde Pública, Universidade Federal de Minas Gerais - Belo Horizonte (MG), Brasil.
  • Grupo de Pesquisas em Epidemiologia e Avaliação em Saúde, Universidade Federal de Minas Gerais - Belo Horizonte (MG), Brasil.
  • Vital Strategies - New York (NY), Estados Unidos.
  • Organização Pan-Americana da Saúde, Organização Mundial da Saúde - Brasília (DF), Brasil.
  • Núcleo de Educação em Saúde Coletiva, Faculdade de Medicina, Universidade Federal de Minas Gerais - Belo Horizonte (MG), Brasil.

Abstract

INTRODUCTION

Knowing the number of deaths and their causes is relevant information for public health managers. However, the cause of death is often classified with codes that are not useful for mortality analysis, called garbage codes (GC).

OBJECTIVE

To describe and evaluate the impact of investigation of the underlying cause of poorly classified deaths on death certificates in 2017.

METHODS

Based on a standardized protocol, GC deaths from 60 municipalities were investigated, mainly in hospital records and autopsy services. Managers at the state level of the Mortality Information System also developed procedures to improve the classification of causes of death, with the consequent adherence of other municipalities (n = 4022). This made it possible to compare the results of GC research between these two groups of municipalities.

RESULTS

In the country, among the 108,826 GC investigated in 2017, 48% were reclassified to specific causes. In the 60 focus municipalities, 58% of the 35,366 investigated deaths from GC were reclassified. After the intervention, the proportion of deaths classified as GC decreased by 11% in the country and 17% in the municipalities.

DISCUSSION

The research in hospital records enabled almost half of the deaths from GC investigated to be reclassified. This is the first study to investigate GC in hospital records of more than 100,000 deaths. The 60 cities targeted by the intervention had better results than the other cities.

CONCLUSION

The intervention proved to be an appropriate initiative to improve the quality of information on cause of death and should be encouraged.

MeSH

Hospital Records, Epidemiology, Cause Of Death, Research, Records, Cities

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