ArticlePopulation health metrics2020
Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996-2016.
Article in Population health metrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Assessing the burden of HPV-associated cancers in Brazil: Hospitalization and mortality trends from 2011 to 2019.Human vaccines & immunotherapeutics · 2026Article
- Regional disparities in breast cancer mortality in Brazil: a spatial analysis using uncorrected and adjusted data, 2000-2023.Scientific reports · 2026Article
- Multiple cause of death during the COVID-19 pandemic: a population study In Colombia and Brazil.International journal of public health · 2026Article
- Data report about course on underlying cause-of-death coding (ICD-10): the case virtual learning environment of the Brazilian health system.Frontiers in digital health · 2026Article
- Estimating years of life lost due to premature mortality at regional level in France in 2017, using a probabilistic redistribution approach.BMC public health · 2025Article
- Variability and social patterning of cancer mortality in 343 Latin American cities: an ecological study.The Lancet. Global health · 2025Article
- Addressing under-registration in Chagas disease mortality: insights from the SaMi-Trop and REDS cohorts.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025Article
- Latent Archetypes of the Spatial Patterns of Cancer.Statistics in medicine · 2024Article
- Temporal trends, spatial and spatiotemporal clusters of cervical cancer mortality in Brazil from 2000 to 2021.Scientific reports · 2024Article
- Assessment of the Quality of Cause-of-Death Data in Serbia for 2005-2019 Vital Statistics Performance Index Estimation.Iranian journal of public health · 2024Article
- Seasonality as a risk factor for deaths in Parkinson's disease.Clinics (Sao Paulo, Brazil) · 2024Article
- [Estimates of mortality from external causes in Brazil, 2010-2019: methodology for redistribution of garbage causes].Cadernos de saude publica · 2024Article
- Multiple Causes of Death Associated with Pediatric Cardiopulmonary Arrest from 1996 to 2019 in Brazil.Arquivos brasileiros de cardiologia · 2024Article
- Investigating years of life lost in Belgium, 2004-2019: A comprehensive analysis using a probabilistic redistribution approach.Archives of public health = Archives belges de sante publique · 2023Article
- Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses.European journal of epidemiology · 2022Article
- Garbage codes in the Norwegian Cause of Death Registry 1996-2019.BMC public health · 2022Article
- Incidence and mortality rates of lip, oral cavity, and pharynx cancers in Brazil: time-trend and age-period-cohort analysis from the last 30 years, Global Burden of Disease Study.Revista da Sociedade Brasileira de Medicina Tropical · 2022Article
- Intra-urban differentials of fetal mortality in clusters of social vulnerability in São Paulo Municipality, Brazil.Scientific reports · 2021Article
- Data Sources for Drug Utilization Research in Brazil-DUR-BRA Study.Frontiers in pharmacology · 2021Article
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Abstract
backgroundRegistered 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.
methodsWe 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.
resultsAge-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.
conclusionOccurrence 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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