Evidence map›Paper›PMID 32993681›Full record

ArticlePopulation health metrics2020

Comparative analysis of completeness of death registration, adult mortality and life expectancy at birth in Brazil at the subnational level.

Bernardo L Queiroz, Marcos R Gonzaga, Ana M N Vasconcelos, Bruno T Lopes, Daisy M X Abreu

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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 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  13. Bolsa Família Program and deaths from oral cancer in Brazil: an ecological study.Revista panamericana de salud publica = Pan American journal of public health · 2022
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bernardo L QueirozGraduate Program in Demography, Universidade Federal de Minas Gerais, Av. Antonio Carlos, Belo Horizonte, 6627, Brazil. lanza@cedeplar.ufmg.br.ORCID 0000-0002-2890-1025
Marcos R GonzagaDepartment of Demography and Actuarial Science, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
Ana M N VasconcelosDepartment of Statistics, Universidade de Brasilia, Brasilia, Brazil.
Bruno T LopesProgram in Actuarial Science, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Daisy M X AbreuSchool of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimates of completeness of death registration are crucial to produce estimates of life tables and population projections and to estimate the burden of disease. They are an important step in assessing the quality of data. In the case of subnational data analysis in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. There are two main sources of data quality evaluation in Brazil, but there are few comparative studies and how they evolve over time. The aim of the paper is to compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME), and estimates presented in Queiroz et al. (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010.

methodsWe provide a descriptive and comparative analysis of aforementioned estimates from four (4) sources of estimates at subnational level (26 states and one Federal District) in Brazil from two different points in time.

resultsWe found significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz et al. (2017) estimates converge by 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states. We have showed that the quality of mortality data in Brazil has improved steadily overtime, but with large regional variations. However, we have observed that IBGE estimates show the lowest levels of completeness for the Northern of the country compared to other estimates. Choice of methods and approaches might lead to very unexpected results.

conclusionWe produced a detailed comparative analysis of estimates of completeness of death registration from different sources and discuss the main results and possible explanations for these differences. We have also showed that new improved methods are still needed to study adult mortality in less developed countries and at a subnational level. More comparative studies are important in order to improve quality of estimates in Brazil.

Indexed as

Death CertificatesBayes TheoremBrazilData CollectionDeveloping CountriesGlobal HealthHumansLife ExpectancyLife TablesMortalityResidence CharacteristicsSpatio-Temporal AnalysisBrazilCompleteness of death registrationDemographic methodsMortality estimatesSubnational analysis

Identifiers

PMID32993681
PMCPMC7525963

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