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

Multiple Causes of Death Associated with Pediatric Cardiopulmonary Arrest from 1996 to 2019 in Brazil

BACKGROUND

In pediatrics, cardiopulmonary arrest (CPA) is associated with high mortality and severe neurologic sequelae. Information on the causes and mechanisms of death below the age of 20 years could provide theoretical support for health improvement among children and adolescents.

OBJECTIVES

To conduct a population analysis of mortality rates due to primary and multiple causes of death below the age of 20 years in both sexes from 1996 to 2019 in Brazil, and identify the frequency in which CPA was recorded in the death certificates (DCs) of these individuals and the locations where the deaths occurred, in order to promote strategies to improve the prevention of deaths.

METHOD

Ecological time-series study of deaths below the age of 20 years from 1996 to 2019, evaluating the mortality rates (MRs) and proportional mortality (PM) by primary cause of death. We analyzed the percentages of CPA recorded in any line of the DC and the location where the deaths occurred. We calculated the MRs per 100,000 inhabitants and the PM by primary cause of death under the age of 20 years according to sex and age group, the percentages of death from primary causes by age group when CPA was described in any line of Parts I and II of the DC, and the percentage of deaths from primary causes according to their location of occurrence. We retrieved the data from DATASUS, IBGE, and SINASC.

RESULTS

From 1996 to 2019, there were 2,151,716 deaths below the age of 20 years in Brazil, yielding a mortality rate of 134.38 per 100,000 inhabitants. The death rate was highest among male neonates. Of all deaths, 249,334 (11.6%) had CPA recorded in any line of the DC. Specifically, CPA was recorded in 49,178 DCs between the ages of 1 and 4 years and in 88,116 of those between the ages of 29 and 365 days, corresponding, respectively, to 26% and 22% of the deaths in these age groups. These two age groups had the highest rates of CPA recorded in any line of the DC. The main primary causes of death when CPA was recorded in the sequence of death were respiratory, hematologic, and neoplastic diseases.

CONCLUSION

Perinatal and external causes were the primary causes of death, with highest MRs under the age of 20 years in Brazil from 1996 to 2019. When multiple causes of death were considered, the main primary causes associated with CPA were respiratory, hematologic, and neoplastic diseases. Most deaths occurred in the hospital environment. Better understanding of the sequence of events in these deaths and improvements in teaching strategies in pediatric cardiopulmonary resuscitation are needed.

Heart failure describing the underlying cause of death: a misconception, lack of information on the true underlying causes, or both?

AIM

The underlying cause of death represents the most important information on death certificates. Often, conditions that cannot represent a true underlying cause of death are listed as such. This phenomenon affects the quality of vital statistics and results of studies using cause-specific mortality as endpoints. We aimed at exploring the magnitude and factors associated with the use of heart failure to describe the underlying cause of death.

METHODS

In this cross-sectional, register based study we linked data from the Norwegian Cause of Death Registry and the Norwegian Patient Registry. We used logistic regression models to analyse the association between external factors and heart failure listed as the underlying cause of death.

RESULTS

Heart failure was listed as the underlying cause of death in 3.6% of all deaths. The odds of heart failure increased: (a) by 35% for 5-year increment in age; (b) by 78% for deaths occurring at nursing homes (compared with in-hospital deaths); and (c) by 602% for deaths not followed by an autopsy (compared with those followed by an autopsy). Deceased with a previous hospitalisation with heart failure as the discharge diagnosis had 514% higher odds of having heart failure listed as their underlying cause of death. Of the deceased with heart failure listed as the underlying cause of death, 9.4% did not have any, and 69.2% had only irrelevant additional information for assessing the true underlying cause of death in their death certificates.

CONCLUSIONS

Heart failure listed as the underlying cause of death was associated with age, place of death, autopsy and previous hospitalisations - all factors that should not influence coding procedures. Better completion of death certificates in accordance with the World Health Organization rules will help reduce the use of heart failure to describe the underlying cause of death.

Chagas disease deaths detected among garbage codes registered in mortality statistics in Brazil: a study from the buRden of ChAgas dISEase in the contemporary world (RAISE) project

OBJECTIVES

The objective of this study was to identify Brazil's most critical garbage codes (GCs) reclassified to Chagas disease (ChD) in mortality data and their proportions. We also estimated the potential impact of misclassification on the number of deaths attributed to ChD.

STUDY DESIGN

Population-based descriptive study.

METHODS

We used the Mortality Information System (SIM; in Portuguese) data before and after routine GC investigation in 2015-2019 to evaluate ChD deaths detected among them. We identified priority GCs, which contributed more than 0.1 % to the percentage of total ChD deaths registered. Spearman's correlation was used to evaluate the association between the reclassification of priority GCs and ChD prevalence. Then, we applied the GC correction factors to estimate the number of deaths attributed to ChD.

RESULTS

22,154 deaths were reported as ChD in the study period. Among them, 1004 deaths originally listed as priority GCs were deaths reclassified to ChD after an investigation in the SIM final database. Unspecific cardiomyopathy (10.2 %), unspecific heart diseases (4.7 %), and heart failure (2.8 %) were GCs with the highest proportions of reclassification to ChD in Brazil. Higher ChD prevalence at the state level was associated with a higher proportion of GC deaths reclassified as ChD. When applying correction factors identified after investigation, we estimated an increase of 26.4 % in registered ChD deaths, mostly in states with higher endemicity.

CONCLUSIONS

GCs might conceal deaths due to ChD, particularly in Brazil's states with higher endemicity. The approach suggested in this study may offer an alternative method for estimating ChD-related deaths in endemic countries.

Investigating years of life lost in Belgium, 2004-2019: A comprehensive analysis using a probabilistic redistribution approach

INTRODUCTION

Information on years of life lost (YLL) due to premature mortality is instrumental to assess the fatal impact of disease and necessary for the calculation of Belgian disability-adjusted life years (DALYs). This study presents a novel method to reallocate causes of death data.

MATERIALS AND METHODS

Causes of death data are provided by Statistics Belgium (Statbel). First, the specific ICD-10 codes that define the underlying cause of death are mapped to the GBD cause list. Second, ill-defined deaths (IDDs) are redistributed to specific ICD-10 codes. A four-step probabilistic redistribution was developed to fit the Belgian context: redistribution using predefined ICD codes, redistribution using multiple causes of death data, internal redistribution, and redistribution to all causes. Finally, we used the GBD 2019 reference life table to calculate Standard Expected Years of Life Lost (SEYLL).

RESULTS

In Belgium, between 2004 and 2019, IDDs increased from 31 to 34% of all deaths. The majority was redistributed using predefined ICD codes (14-15%), followed by the redistribution using multiple causes of death data (10-12%). The total number of SEYLL decreased from 1.83 to 1.73 million per year. In 2019, the top cause of SEYLL was lung cancer with a share of 8.5%, followed by ischemic heart disease (8.1%) and Alzheimer's disease and other dementias (5.7%). All results are available in an online tool https://burden.sciensano.be/shiny/mortality2019/ .

CONCLUSION

The redistribution process assigned a specific cause of death to all deaths in Belgium, making it possible to investigate the full mortality burden for the first time. A large number of estimates were produced to estimate SEYLL by age, sex, and region for a large number of causes of death and every year between 2004 and 2019. These estimates are important stepping stones for future investigations on Disability-Adjusted Life Years (DALYs) in Belgium.

[Methodological proposal for evaluation of death records from COVID-19]

The limitation of studies on the coverage and completeness of death records is one of the main problems regarding vital statistics in Brazil. In 2020, the number of information systems on death records in Brazil increased due to the COVID-19 pandemic, generating more uncertainties about the quality of death records. This study proposed an evaluation of the quality of death records due to COVID-19. Three methodological stages were considered: estimation of deaths under-registration; redistribution of deaths from nonspecific causes (Garbage Codes), and redistribution of deaths from ill-defined causes to COVID-19 data. The proposal was applied in the State of Paraíba, Brazil, and its municipalities in 2020, by using the official records of the Brazilian Mortality Information System of the Brazilian Ministry of Health. In total, 1,281 deaths were retrieved, besides the 3,426 deaths officially recorded for Paraíba State, an increase of 37.4% in deaths from COVID-19. The proposal was effective, easy to apply, and can be used by managers of governmental spheres and people interested in it as a tool to assess the quality of death records for any geographic space, thus, contributing to a better understanding of the real effect of the pandemic.

Evolução da estrutura e resultados da Atenção Primária à Saúde no Brasil entre 2008 e 2019

Resumo Descreve a evolução da estrutura e resultados da Atenção Primária à Saúde (APS) no Brasil, entre 2008 e 2019. Foram calculadas a mediana de variáveis como: despesa per capita em APS por habitante coberto, cobertura da APS e as taxas de mortalidade e internações por condições sensíveis à atenção primária (CSAP) de 5.565 municípios brasileiros estratificados segundo porte populacional e quintil do Índice Brasileiro de Privação (IBP) e analisada a tendência mediana no período. Houve aumento de 12% na mediana da despesa em APS. A cobertura da APS expandiu, sendo que 3.168 municípios apresentaram 100% de cobertura em 2019, contra 2.632 em 2008. A mediana das taxas de mortalidade e internações por CSAP aumentou 0,2% e diminuiu 44,9% respectivamente. A despesa em APS foi menor nos municípios com maior privação socioeconômica. Quanto maior o porte populacional e melhores as condições socioeconômicas dos municípios, menor a cobertura da APS. Quanto maior a privação socioeconômica dos municípios, maiores foram as medianas das taxas de mortalidade por CSAP. Este estudo demonstrou que a evolução da APS foi heterogênea e está associada tanto ao porte populacional como às condições socioeconômicas dos municípios.

Evolution of the structure and results of Primary Health Care in Brazil between 2008 and 2019

Abstract This paper describes the structure and results of Primary Health Care (PHC) in Brazil between 2008 and 2019. The medians of the following variables were calculated: PHC spending per inhabitant covered, PHC coverage, and rates of mortality and hospitalizations due to primary care sensitive conditions (PCSC), in 5,565 Brazilian municipalities stratified according to population size and quintile of the Brazilian Deprivation Index (IBP), and the median trend in the period was analyzed. There was a 12% increase in median PHC spending. PHC coverage expanded, with 3,168 municipalities presenting 100% coverage in 2019, compared to 2,632 in 2008. The median rates of PCSC mortality and hospitalizations increased 0.2% and decreased 44.9%, respectively. PHC spending was lower in municipalities with greater socioeconomic deprivation. The bigger the population and the better the socioeconomic conditions were in the municipalities, the lower the PHC coverage. The greater the socioeconomic deprivation was in the municipalities, the higher the median PCSC mortality rates. This study showed that the evolution of PHC was heterogeneous and is associated both with the population size and with the socioeconomic conditions of the municipalities.

Garbage codes in the Norwegian Cause of Death Registry 1996-2019

Background

Reliable statistics on the underlying cause of death are essential for monitoring the health in a population. When there is insufficient information to identify the true underlying cause of death, the death will be classified using less informative codes, garbage codes. If many deaths are assigned a garbage code, the information value of the cause-of-death statistics is reduced. The aim of this study was to analyse the use of garbage codes in the Norwegian Cause of Death Registry (NCoDR).

Methods

Data from NCoDR on all deaths among Norwegian residents in the years 1996–2019 were used to describe the occurrence of garbage codes. We used logistic regression analyses to identify determinants for the use of garbage codes. Possible explanatory factors were year of death, sex, age of death, place of death and whether an autopsy was performed.

Results

A total of 29.0% (290,469/1,000,128) of the deaths were coded with a garbage code; 14.1% (140,804/1,000,128) with a major and 15.0% (149,665/1,000,128) with a minor garbage code. The five most common major garbage codes overall were ICD-10 codes I50 (heart failure), R96 (sudden death), R54 (senility), X59 (exposure to unspecified factor), and A41 (other sepsis). The most prevalent minor garbage codes were I64 (unspecified stroke), J18 (unspecified pneumonia), C80 (malignant neoplasm with unknown primary site), E14 (unspecified diabetes mellitus), and I69 (sequelae of cerebrovascular disease).

The most important determinants for the use of garbage codes were the age of the deceased (OR 17.4 for age ≥ 90 vs age < 1) and death outside hospital (OR 2.08 for unknown place of death vs hospital).

Conclusion

Over a 24-year period, garbage codes were used in 29.0% of all deaths. The most important determinants of a death to be assigned a garbage code were advanced age and place of death outside hospital. Knowledge of the national epidemiological situation, as well as the rules and guidelines for mortality coding, is essential for understanding the prevalence and distribution of garbage codes, in order to rely on vital statistics.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13693-w.

Data Sources for Drug Utilization Research in Brazil-DUR-BRA Study

Background: In Brazil, studies that map electronic healthcare databases in order to assess their suitability for use in pharmacoepidemiologic research are lacking. We aimed to identify, catalogue, and characterize Brazilian data sources for Drug Utilization Research (DUR).

Methods: The present study is part of the project entitled, “Publicly Available Data Sources for Drug Utilization Research in Latin American (LatAm) Countries.” A network of Brazilian health experts was assembled to map secondary administrative data from healthcare organizations that might provide information related to medication use. A multi-phase approach including internet search of institutional government websites, traditional bibliographic databases, and experts’ input was used for mapping the data sources. The reviewers searched, screened and selected the data sources independently; disagreements were resolved by consensus. Data sources were grouped into the following categories: 1) automated databases; 2) Electronic Medical Records (EMR); 3) national surveys or datasets; 4) adverse event reporting systems; and 5) others. Each data source was characterized by accessibility, geographic granularity, setting, type of data (aggregate or individual-level), and years of coverage. We also searched for publications related to each data source.

Results: A total of 62 data sources were identified and screened; 38 met the eligibility criteria for inclusion and were fully characterized. We grouped 23 (60%) as automated databases, four (11%) as adverse event reporting systems, four (11%) as EMRs, three (8%) as national surveys or datasets, and four (11%) as other types. Eighteen (47%) were classified as publicly and conveniently accessible online; providing information at national level. Most of them offered more than 5 years of comprehensive data coverage, and presented data at both the individual and aggregated levels. No information about population coverage was found. Drug coding is not uniform; each data source has its own coding system, depending on the purpose of the data. At least one scientific publication was found for each publicly available data source.

Conclusions: There are several types of data sources for DUR in Brazil, but a uniform system for drug classification and data quality evaluation does not exist. The extent of population covered by year is unknown. Our comprehensive and structured inventory reveals a need for full characterization of these data sources.

Incidence and mortality rates of lip, oral cavity, and pharynx cancers in Brazil: time-trend and age-period-cohort analysis from the last 30 years, Global Burden of Disease Study

INTRODUCTION

Cancers are the second main cause of morbidity worldwide, but robust information on lip, oral cavity, and pharynx cancers in Brazil is lacking. This study aimed to analyze the trends of incidence and mortality caused by lip, oral cavity, and pharynx cancers and age-period-cohort effects in the Brazilian population of 30 years of age and over, in the period of 1990 to 2019.

METHODS

A time series study of the incidence and mortality rates for oral cavity and pharynx cancer ("Lip and oral cavity cancer", "Nasopharynx cancer", and "Other pharynx cancer") was conducted, with corrected data from the Global Burden of Disease Study (GBD) 2019. Age-standardized rates per 100,000 inhabitants, for the global population, were gathered according to the individuals' sex. The annual average percentage change (AAPC) was estimated, as was the age-period-cohort effects.

RESULTS

The incidence and mortality rates were higher for men in the studied anatomical regions. The cancers tended to decrease for men, except for nasopharynx cancer, which increased in individuals of both sexes. Mortality tended to present a decline in most of the groups studied. For men and women, the age-period-cohort model presented a better adjustment for both incidence and mortality.

CONCLUSIONS

Incidence and mortality caused by the main head and neck cancers showed a tendency to decline over the past 30 years in Brazil, except for nasopharynx cancer, which showed an increase in incidence and mortality in some segments of the population. Higher rates were found for lip and oral cavity cancers in men.

Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses

Linked administrative data offer a rich source of information that can be harnessed to describe patterns of disease, understand their causes and evaluate interventions. However, administrative data are primarily collected for operational reasons such as recording vital events for legal purposes, and planning, provision and monitoring of services. The processes involved in generating and linking administrative datasets may generate sources of bias that are often not adequately considered by researchers. We provide a framework describing these biases, drawing on our experiences of using the 100 Million Brazilian Cohort (100MCohort) which contains records of more than 131 million people whose families applied for social assistance between 2001 and 2018. Datasets for epidemiological research were derived by linking the 100MCohort to health-related databases such as the Mortality Information System and the Hospital Information System. Using the framework, we demonstrate how selection and misclassification biases may be introduced in three different stages: registering and recording of people's life events and use of services, linkage across administrative databases, and cleaning and coding of variables from derived datasets. Finally, we suggest eight recommendations which may reduce biases when analysing data from administrative sources.

Análise da qualidade da informação sobre óbitos por neoplasias no Brasil, entre 2009 e 2019

RESUMO Objetivo: Avaliar a qualidade das informações sobre mortalidade por neoplasias no âmbito do Sistema de Informação sobre Mortalidade. Métodos: Estudo descritivo observacional com avaliação da qualidade do Sistema de Informação sobre Mortalidade, com desfecho referente aos dados de óbitos por neoplasias ocorridos entre os anos de 2009 e 2019 na população brasileira (≥15 anos). A qualidade da informação (QI) foi mensurada para o Brasil e para as Unidades Federativas por meio das dimensões: cobertura, especificidade e completude dos dados. Resultados: A qualidade da dimensão cobertura variou entre “boa” e “excelente” nas abrangências nacional e estadual. A dimensão especificidade foi classificada como inadequada predominantemente nos Estados das Regiões Norte e Nordeste. A proporção de causas mal definidas foi classificada como de “baixa” qualidade na maioria das unidades de análise ao longo da série. A completude dos dados variou de acordo com o indicador utilizado, os indicadores sexo e idade mostraram-se “excelentes” para todo o período e unidades de análise, a escolaridade apresentou variação de qualidade tanto nas unidades como nos períodos e o estado civil apresentou melhoria da qualidade de seu registro ao longo do período, assim como o indicador raça/cor. Conclusões: A qualidade dos dados de mortalidade por neoplasias na população brasileira (≥15 anos) é, em sua maioria, adequada, mas há lacunas importantes que merecem ser preenchidas, pois a ampliação da QI busca dar visibilidade à condição de saúde da população brasileira, bem como propor ações públicas para sua melhoria.

Analysis of quality of information about deaths from neoplasms in Brazil between 2009 and 2019

ABSTRACT Objective To assess the quality of information about mortality from neoplasm within the Mortality Information System. Methods: Descriptive observational study evaluating the quality of the Mortality Information System, with an outcome referring to data on deaths from neoplasm between 2009 and 2019 in the Brazilian population (≥15 years). Information Quality (IQ) was measured through coverage, specificity and completeness of data, at national and state level. Results: The quality of the coverage dimension ranged from “good” to “excellent” in the national and state coverages. Specificity was classified as inadequate mainly in the states of the North and Northeast regions. The proportion of ill-defined causes was classified as “poor” quality in most units of analysis throughout the series. Data completeness varied according to indicator. Gender and age indicators were proven “excellent” for the entire period and units of analysis, while educational level varied in quality across units and periods, marital status had its quality improved over the period, as well as ethnicity/skin color. Conclusions: The quality of data on mortality from neoplasm in the Brazilian population (≥15 years) is mostly adequate, but there are important gaps to be filled, as the expansion of IQ seeks to give visibility to the health condition of the Brazilian population and to propose public actions for its improvement.

Intra-urban differentials of fetal mortality in clusters of social vulnerability in São Paulo Municipality, Brazil

This study aimed to analyze the distribution of stillbirths by birth weight, type of death, the trend of Stillbirth Rate (SBR), and avoidable causes of death, according to social vulnerability clusters in São Paulo Municipality, 2007-2017. Social vulnerability clusters were created with the k-means method. The Prais-Winsten generalized linear regression was used in the trend of SBR by < 2500 g,  ≥ 2500 g, and total deaths analysis. The Brazilian list of avoidable causes of death was adapted for stillbirths. There was a predominance of antepartum stillbirths (70%). There was an increase in SBR with the growth of social vulnerability from the center to the outskirts of the city. The cluster with the highest vulnerability presented SBR 69% higher than the cluster with the lowest vulnerability. SBR ≥ 2500 g was decreasing in the clusters with the high vulnerability. There was an increase in SBR of avoidable causes of death of the cluster from the lowest to the highest vulnerability. Ill-defined causes of death accounted for 75% of deaths in the highest vulnerability area. Rates of fetal mortality and avoidable causes of death increased with social vulnerability. The trend of reduction of SBR ≥ 2500 g may suggest improvement in prenatal care in areas of higher vulnerability.