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dc.contributor.authorFrança, Elizabethpt_BR
dc.contributor.authorIshitani, Lenice Harumipt_BR
dc.contributor.authorTeixeira, Renato Azeredopt_BR
dc.contributor.authorDuncan, Bruce Bartholowpt_BR
dc.contributor.authorSouza, Fátima Marinhopt_BR
dc.contributor.authorNaghavi, Mohsenpt_BR
dc.date.accessioned2021-07-06T04:46:52Zpt_BR
dc.date.issued2020pt_BR
dc.identifier.issn1478-7954pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/223280pt_BR
dc.description.abstractBackground: 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 fourdigit 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.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofPopulation health metrics. London. Vol. 18, supl 1 (2020), 20, 13 p.pt_BR
dc.rightsOpen Accessen
dc.subjectCause of deathen
dc.subjectCausas de mortept_BR
dc.subjectData qualityen
dc.subjectCarga global da doençapt_BR
dc.subjectVital statisticsen
dc.subjectIndicadores básicos de saúdept_BR
dc.subjectMétodos epidemiológicospt_BR
dc.subjectBrazilen
dc.subjectBrasilpt_BR
dc.titleChanges in the quality of cause-of-death statistics in Brazil : garbage codes among registered deaths in 1996–2016pt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001126880pt_BR
dc.type.originEstrangeiropt_BR


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