Distribution of garbage codes in the Mortality Information System, Brazil, 2000 to 2020

The analysis of the causes of death is essential to understand the main problems that affect the health level of the population of a region or country. The garbage codes (GC) provide little useful information about causes of death. This study aims to identify the proportion of GC among the deaths registered and to analyze their temporal distribution in Brazil from 2000 to 2020. It's an ecological time-series study of the evolution of the proportion of GC in Brazil. Time series analysis was performed using segmented linear regression models (joinpoint). Between 2000 and 2020, 39.9% of deaths that occurred in Brazil were coded with GC. Between 2000 and 2007, there was a continuous and persistent reduction in the proportion of GC (APC -2.1; P < 0.001). Between 2007 and 2015, there continued to be a reduction, albeit to a lesser extent (APC = -0.7; P = 0.013). Between 2015 and 2018, there was no significant trend of the proportion of GC (APC = -2.3; P = 0.172), which persisted from 2018 (APC 3.2; P < 0.079). Although a reduction in the proportion of GC in Brazil was observed until 2018, this trend did not persist after that year. Reducing the proportion of GC allows managers to plan health policies more adequately for the population.

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Publication Details

Journal
Ciência & Saúde Coletiva
Published
2025-03-01
DOI
https://doi.org/10.1590/1413-81232025303.09442023
Citations
3
Primary Topic
Global Public Health Policies and Epidemiology
Type
article
Field-Weighted Citation Impact
5.53

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article

Distribution of garbage codes in the Mortality Information System, Brazil, 2000 to 2020

Lenice Harumi Ishitani, Déborah Carvalho Malta, Érika Carvalho de Aquino, Solange Nice Alves-Souza et al.
3 citations
Ciência & Saúde Coletiva
Global Public Health Policies and Epidemiology
5.53
article

Distribution of garbage codes in the Mortality Information System, Brazil, 2000 to 2020

Lenice Harumi Ishitani, Déborah Carvalho Malta, Érika Carvalho de Aquino, Solange Nice Alves-Souza, Renato Azeredo Teixeira, Otaliba Libânio de Morais Neto, Silvia Borowicc
article en
3 citations

Abstract

The analysis of the causes of death is essential to understand the main problems that affect the health level of the population of a region or country. The garbage codes (GC) provide little useful information about causes of death. This study aims to identify the proportion of GC among the deaths registered and to analyze their temporal distribution in Brazil from 2000 to 2020. It's an ecological time-series study of the evolution of the proportion of GC in Brazil. Time series analysis was performed using segmented linear regression models (joinpoint). Between 2000 and 2020, 39.9% of deaths that occurred in Brazil were coded with GC. Between 2000 and 2007, there was a continuous and persistent reduction in the proportion of GC (APC -2.1; P < 0.001). Between 2007 and 2015, there continued to be a reduction, albeit to a lesser extent (APC = -0.7; P = 0.013). Between 2015 and 2018, there was no significant trend of the proportion of GC (APC = -2.3; P = 0.172), which persisted from 2018 (APC 3.2; P < 0.079). Although a reduction in the proportion of GC in Brazil was observed until 2018, this trend did not persist after that year. Reducing the proportion of GC allows managers to plan health policies more adequately for the population.

Ciência & Saúde ColetivaVol. 30(3)
Universidade Federal de Minas Gerais (BR), Universidade de São Paulo (BR), Universidade Brasil (BR), Secretaria Municipal de Saúde (BR), Universidade Federal de Goiás (BR)
Ministério da Saúde
Good health and well-being
Openalex Percentile: Top 6%
Global Public Health Policies and Epidemiology
5.53
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