Trends of mortality from ill-defined causes in the Northeast region of Brazil, 1979–2009

Martins, Davi Félix; Costa, Tania Maria; Lordêlo, Maurício Santana; Felzemburg, Ridalva Dias Martins

doi:10.1016/s0104-4230(11)70069-0

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…It is known that the North and Northeast regions of Brazil feature the greatest levels of inequality in relation to socio-economic conditions and therefore health statistics. The differences among Brazil's regions in the health-care area have been the target of study in the medical literature (Martins Júnior et al, 2011). Survival estimates for cervical cancer have been hampered owing to the under-estimation of mortality due to this cancer.…”

Section: Discussionmentioning

confidence: 99%

Cancer survival in Brazil: Estimate through the mortality to incidence ratio

Reis¹,

Scaff²

2018

J. Public Health Epidemiol.

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Information about cancer incidence, mortality and survival is one of the pillars for disease monitoring. In Brazil, only a few studies show population-based survival. The mortality to incidence ratio (M:I) is an indirect measure of cancer survival and can be used to estimate a population cancer survival. To calculate the mortality to incidence ratios (M:I), an official information for incidence and mortality rates in Brazil during 2002 to 2014 was used. A complement to the age-adjusted cancer mortality to incidence ratios [1-(M:I)] as a 5-year survival estimate for all cancers, excluding non-melanoma skin, breast, lung, prostate, cervical, colo-rectal and stomach cancers were calculated. The median survival estimate for all tumors was 52% for males and 56% for females. The lowest survival estimates, in both sexes, can be observed in North and Northeast regions for lung and stomach cancer. For colo-rectal cancer, the survival estimates were similar for both sexes, varying between 50 and 65%. Prostate and breast cancer had the highest survival estimates (79 and 74%, respectively). The survival estimate for cervical cancer in Brazil was 64%. Despite the limitation, the study showed that the methodology can be a simple predictor for calculating 5-year survival rates.

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Section: Discussionmentioning

confidence: 99%

Cancer survival in Brazil: Estimate through the mortality to incidence ratio

Reis¹,

Scaff²

2018

J. Public Health Epidemiol.

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Risk factors for the ill-defined causes of death in the Brazilian states: a multilevel analysis

Rodrigues

Daumas

Almeida

et al. 2018

Ciênc. saúde coletiva

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This study describes the spatial-temporal changes of the proportion of ill-defined causes of death in Brazil (1998-2012) and investigates which demographic and socioeconomic factors affect this proportion. We collected information of the proportion of ill-defined causes of death by age (15-59 years), sex, period, locality, and socioeconomic data. We used a multilevel Poisson model to investigate which factors affect the risk of ill-defined causes of death. Unlike states located in the South and Midwest, we detected clusters with high proportional levels of these deaths in states in the North and Northeast regions. A greater proportion occurred in 1998-2002 (0.09), in the North and Northeast (0.14 and 0.12, respectively), in older age groups (0.09), and in places with poor socioeconomic conditions. The adjusted analysis showed differences in proportion according to the region, age, period, schooling, social inequality, and income. The results indicate that the lower the age group and the better the socioeconomic situation, the lower the risk to register the cause of death as ill-defined. Although over the past years, the quality of Brazil’s mortality data has gradually increased, investments towards improving mortality registries cannot be discontinued.

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Avaliação da investigação de óbitos por causas mal definidas no estado da Bahia, Brasil, em 2010

Cunha

Vasconcelos

Souza

et al. 2019

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Resumo A investigação de óbitos por causas mal definidas (CMD) tem sido uma estratégia utilizada pelos serviços de saúde para redução do percentual destes óbitos. Este estudo teve como objetivo avaliar a adesão dos municípios na utilização de formulários preconizados na investigação de óbitos por CMD e o impacto destas investigações na redução percentual desses óbitos no Sistema de Informações sobre Mortalidade. Analisou-se a utilização dos formulários Investigação do Óbito com Causa Mal Definida (IOCMD) e autópsia verbal (AV), e o percentual de reclassificação da causa básica (CB) de morte após as investigações, em uma amostra probabilística de 27 municípios no Estado da Bahia e a capital Salvador, no ano de 2010. Dos 27 municípios da amostra, aproximadamente 50% investigaram os óbitos por CMD utilizando-se os formulários preconizados. Foram identificados 1092 óbitos por CMD, dos quais 53,1% foram investigados: em 40,5% dos casos utilizou-se apenas o formulário IOCMD, apenas o formulário AV em 15,3%, e ambos os formulários em 14,3% dos casos. A investigação dos óbitos por CMD possibilitou a redução do percentual desses óbitos de 16,5% para 9,9%, e mostrou-se mais efetiva quando realizada utilizando-se os formulários preconizados.

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Trends of mortality from ill-defined causes in the Northeast region of Brazil, 1979–2009

Cited by 3 publications

References 10 publications

Cancer survival in Brazil: Estimate through the mortality to incidence ratio

Cancer survival in Brazil: Estimate through the mortality to incidence ratio

Risk factors for the ill-defined causes of death in the Brazilian states: a multilevel analysis

Avaliação da investigação de óbitos por causas mal definidas no estado da Bahia, Brasil, em 2010

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