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

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)...

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Autores principales: França, Elisabeth, Ishitani, Lenice Harumi, Teixeira, Renato, Duncan, Bruce B., Marinho, Fatima, Naghavi, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526091/
https://www.ncbi.nlm.nih.gov/pubmed/32993689
http://dx.doi.org/10.1186/s12963-020-00221-4
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author França, Elisabeth
Ishitani, Lenice Harumi
Teixeira, Renato
Duncan, Bruce B.
Marinho, Fatima
Naghavi, Mohsen
author_facet França, Elisabeth
Ishitani, Lenice Harumi
Teixeira, Renato
Duncan, Bruce B.
Marinho, Fatima
Naghavi, Mohsen
author_sort França, Elisabeth
collection PubMed
description 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.
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spelling pubmed-75260912020-09-30 Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016 França, Elisabeth Ishitani, Lenice Harumi Teixeira, Renato Duncan, Bruce B. Marinho, Fatima Naghavi, Mohsen Popul Health Metr Research 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. BioMed Central 2020-09-30 /pmc/articles/PMC7526091/ /pubmed/32993689 http://dx.doi.org/10.1186/s12963-020-00221-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
França, Elisabeth
Ishitani, Lenice Harumi
Teixeira, Renato
Duncan, Bruce B.
Marinho, Fatima
Naghavi, Mohsen
Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016
title Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016
title_full Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016
title_fullStr Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016
title_full_unstemmed Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016
title_short Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996–2016
title_sort changes in the quality of cause-of-death statistics in brazil: garbage codes among registered deaths in 1996–2016
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526091/
https://www.ncbi.nlm.nih.gov/pubmed/32993689
http://dx.doi.org/10.1186/s12963-020-00221-4
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