Mortalidade cardiovascular e impacto de técnicas corretivas de subnotificações e óbitos mal definidos

Soares, David Arnaud; Gonçalves, Maria Jacirema Ferreira

doi:10.1590/s1020-49892012000900005

Cited by 5 publications

(8 citation statements)

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“…The coverage quality of information systems has an important role in health surveillance, especially in monitoring mortality. However, the information quality of death registries in Brazil, in addition to regional disparities in access to health services, can lead to underestimated mortality rates, even with improved coverage over the years [ 28 ],[ 29 ],[ 44 ]. Thus, in this study, we corrected the number of deaths due to CD according to the records of ill-defined death causes while, ignoring age and sex, resulting in a 27% increase in CD as a basic cause of death.…”

Section: Discussionmentioning

confidence: 99%

“…The correction process was used because of the great disparity in information quality among the Brazilian geographic regions, and because during the period under study, there were important improvements in death registry quality in Brazil due to the expansion of health services with the implementation of the Unified Health System (SUS) [ 28 ]. In addition, Holford (1991) affirms that improvements in death certificates may have a period effect and so, in order not to draw erroneous conclusions regarding the evolution Chagas disease mortality, we have chosen to correct death records [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

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Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades

et al. 2018

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BackgroundChagas disease (CD) is a neglected chronic parasitic infection and a public health problem that is preventable, and has serious complications. In this study, the effects of age, period and birth cohort (APC Effects) on the evolution of the mortality of that disease in Brazil, from 1980–2014, according to sex and geographic region of the country, were analyzed. Mortality forecasts from the years 2015 to 2034 were estimated.MethodsThis is an ecological cross-sectional study in which death records and population data were extracted from the DATASUS (Department of Information Technology of the National Health System) website, in age groups from 20–24 years of age to 80 years and over, from 1980 to 2014. The rates were standardized according to age and sex distributions using the direct method. The APC models were estimated using the Bayesian approach, and the INLA (Integrated Nested Laplace Approximations) method was used for parameter inference. Super dispersion of the data was considered, and we included unstructured random terms in the models.ResultsDuring the analyzed period, there were 178,823 deaths in Brazil (3.85 annual deaths per 100,000 inhabitants). It was found that temporal effects on CD mortality varied by sex and region. In general, there was an increase in mortality rates up to 30 years of age, and the mortality rates were higher between 50 and 64 years of age. On average, men died five years younger than women. Mortality rates were highest in the Central West and Southeast regions. The Central West, Southeast and Southern regions had a reduction over time in the rate of CD deaths between 2000 and 2014. The mortality rate in the Northeast was not statistically different in any period analyzed, while the North had tendency to increase; however, a significant risk increase was only observed between 1995 and 1999. The rate of mortality was high in older birth cohorts. The overall prediction for the next two decades showed a progressive decline in CD mortality, which will be highest among the young. The expected average reduction was 76.1% compared to the last observed period (2010–2014) and the last predicted (2030–2034) period. The average reduction ranged from 86% in the 20–24 age group to 50% in the 80 and over age group.ConclusionsIn the present study, a higher death rate was observed for ages above 30 years, especially 50 to 64 years, and in the older birth cohorts. We believe these results can be related to period effects of vector control actions and preventive and care measures by the health system of Brazil, in addition to demographic changes in the period. The differences among the regions reflect socioeconomic inequities and access to the healthcare systems in the Brazilian population.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades

et al. 2018

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“…, 17 , 18 However, there was a relatively significant proportion of these causes among IDCD (9.3% of the reclassified IDCD for Brazil in 2010), probably related to the active search for clarifying IDCD that was conducted in the IML in various municipalities. Studies in Brazilian municipalities also showed significant proportions of external causes among IDCD 1 …”

Section: Discussionmentioning

confidence: 99%

Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

et al. 2014

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OBJECTIVE To propose a method of redistributing ill-defined causes of death (IDCD) based on the investigation of such causes.METHODS In 2010, an evaluation of the results of investigating the causes of death classified as IDCD in accordance with chapter 18 of the International Classification of Diseases (ICD-10) by the Mortality Information System was performed. The redistribution coefficients were calculated according to the proportional distribution of ill-defined causes reclassified after investigation in any chapter of the ICD-10, except for chapter 18, and used to redistribute the ill-defined causes not investigated and remaining by sex and age. The IDCD redistribution coefficient was compared with two usual methods of redistribution: a) Total redistribution coefficient, based on the proportional distribution of all the defined causes originally notified and b) Non-external redistribution coefficient, similar to the previous, but excluding external causes.RESULTS Of the 97,314 deaths by ill-defined causes reported in 2010, 30.3% were investigated, and 65.5% of those were reclassified as defined causes after the investigation. Endocrine diseases, mental disorders, and maternal causes had a higher representation among the reclassified ill-defined causes, contrary to infectious diseases, neoplasms, and genitourinary diseases, with higher proportions among the defined causes reported. External causes represented 9.3% of the ill-defined causes reclassified. The correction of mortality rates by the total redistribution coefficient and non-external redistribution coefficient increased the magnitude of the rates by a relatively similar factor for most causes, contrary to the IDCD redistribution coefficient that corrected the different causes of death with differentiated weights.CONCLUSIONS The proportional distribution of causes among the ill-defined causes reclassified after investigation was not similar to the original distribution of defined causes. Therefore, the redistribution of the remaining ill-defined causes based on the investigation allows for more appropriate estimates of the mortality risk due to specific causes.

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“…We made some corrections due to the poor quality of the information obtained from the Information System on Mortality (SIM) and then we progressed in three steps: (1) proportional redistribution of the classified registers with age and/or sex that we ignored, (2) redistribution of the classified deaths as causes that were poorly defined amongst the known causes 13 , with the exception of the external causes, and (3) correction of the sub-register of deaths for each of the geographical regions and sexes in accordance with the description that follows.…”

Section: Methodsmentioning

confidence: 99%

Mortalidade por infarto agudo do miocárdio no Brasil e suas regiões geográficas: análise do efeito da idade-período-coorte

Santos

Meira

Camacho

et al. 2018

Ciênc. saúde coletiva

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The objective of this study was to analyze the effect of age-period and cohort (APC) of birth on mortality for acute myocardial infarction in Brazil and its geographic regions, according to sex in the period from 1980 to 2009. The data was extracted from the Mortality Information System and was corrected and adjusted by means of proportional redistribution of records with sex and age ignored, ill-defined causes, and corrections were made based on the death sub-register. The APC was calculated using the Poisson regression model with estimable functions. The APC analysis on both sexes and in all regions of the country showed gradual reductions in the risk of death in birth cohorts from the decade of the 1940s, except in the Northeast. In this region, there have been progressive increases in the risk of death from the late 1940s for both sexes. This was up until the 1950s for men and the 1960s for women. It was concluded that the observed differences in the risk of death in Brazilian regions is the result of socio-economic inequalities and poor access to health services within the Brazilian territory, favoring early mortality for this cause especially in poorer areas.

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Mortalidade cardiovascular e impacto de técnicas corretivas de subnotificações e óbitos mal definidos

Abstract: This correction made it possible to identify an excess of deaths that had not been computed, generating more reliable adjusted and corrected death rates.

Cited by 5 publications

References 24 publications

Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades

Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades

Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

Mortalidade por infarto agudo do miocárdio no Brasil e suas regiões geográficas: análise do efeito da idade-período-coorte

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