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巴西死因统计质量变化:1996-2016 年登记死亡中的垃圾代码。

Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996-2016.

机构信息

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.

Research Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.

出版信息

Popul Health Metr. 2020 Sep 30;18(Suppl 1):20. doi: 10.1186/s12963-020-00221-4.

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.

摘要

背景

人口动态统计中的注册死因被归类为垃圾代码(GC),被认为是死因数据质量的指标。我们的目的是描述巴西在这方面的质量随时间的变化,以及根据全球疾病负担(GBD)研究进行分类的主要 GC。我们还评估了不同区域各级 GC 负担的社会经济差异。

方法

我们从 1996 年到 2016 年从巴西死亡率信息系统中提取数据。选择并根据 GBD 研究建议将所有三位和四位 ICD-10 代码分类为四类。GC 级别 1 和 2 是最具破坏性的不可用代码或主要 GC。根据所选变量按 GC 级别分配死亡比例。为了调查时间关系,我们计算了校正死亡漏报后的年龄标准化死亡率,以及为 1996-2005 年和 2006-2016 年,各州 GC 率与 GBD 研究中的社会人口指数(SDI)之间的完全调整后的线性关联。我们通过应用 SDI 州级估计值的三分位数截距将巴西各州分为三类发展水平。

结果

1996 年至 2016 年,巴西因 GC 导致的年龄标准化死亡率下降,特别是 1 级 GC。最重要的 GC 组在 1996 年是定义不明确的病因(1 级),而在 2016 年是未特指的肺炎(4 级)。在州一级,1996-2005 年,SDI 与 1-2 级 GC 率之间存在显著的负相关关系,但 SDI 和完整性都与 3-4 级存在意外的显著直接关联。2006-2016 年,SDI 较高的州往往具有较低的所有类型 GC 率。1996-2016 年,所有 SDI 类别中主要 GC 的死亡率都有所下降,但只有在高 SDI 类别中 3-4 级 GC 下降。被归类为低或中 SDI 组的州负责主要 GC 最重要的下降。

结论

在巴西,主要 GC 的发生与时间相关的社会经济决定因素有关。随着社会经济群体之间的差异减少,主要 GC 的减少表明,在减少不平等和加强该国死因统计方面取得了进展。

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