Evidence map›Paper›PMID 32993689›Full record

ArticlePopulation health metrics2020

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

Elisabeth França, Lenice Harumi Ishitani, Renato Teixeira, Bruce B Duncan, Fatima Marinho, Mohsen Naghavi

Abstract read
In one paragraph

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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20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Elisabeth FrançaPrograma 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. efranca.med@gmail.com.ORCID 0000-0001-6984-0233
Lenice Harumi IshitaniResearch Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.
Renato TeixeiraResearch Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.
Bruce B DuncanPrograma de Pós-graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600/414, Porto Alegre, 90035-003, Brazil.
Fatima MarinhoResearch Group in Epidemiology and Health Evaluation, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100, Brazil.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, 2301 5th Avenue, Suite 600 Box 358210, Seattle, WA, 98121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BrazilCause of DeathData CollectionGlobal Burden of DiseaseHumansResidence CharacteristicsSocial Determinants of HealthSocioeconomic FactorsBrazilCause of deathData qualityVital statistics

Identifiers

PMID32993689
PMCPMC7526091

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.