Qualifying information on deaths and serious injuries caused by road traffic in five Brazilian capitals using record linkage.

INTRODUCTION: Road traffic crashes (RTC) are an important public health problem, accounting for 1.2 million deaths per year worldwide. In Brazil, approximately 40,000 deaths caused by RTC occur every year, with different trends in the Federal Units. However, these figures may be even greater if health databases are linked to police records. In addition, the linkage procedure would make it possible to qualify information from the health and police databases, improving the quality of the data regarding underlying cause of death, cause of injury in hospital records, and injury severity. OBJECTIVE: This study linked different data sources to measure the numbers of deaths and serious injuries and to estimate the percentage of corrections regarding the underlying cause of death, cause of injury, and the severity injury in victims in matched pairs from record linkage in five representative state capitals of the five macro-regions of Brazil. METHODS: This cross-sectional, population-based study used data from the Hospital Information System (HIS), Mortality Information System (MIS), and Police Road Traffic database of Belo Horizonte, Campo Grande, Curitiba, Palmas, and Teresina, for the year 2013 for Teresina, and 2012 for the other capitals. RecLink III was used to perform probabilistic record linkage by identifying matched pairs to calculate the global correction percentage of the underlying cause of death, the circumstance that caused the road traffic injury, and the injury severity of the victims in the police database. RESULTS: There was a change in the cause of injury in the HIS, with an overall percentage of correction estimated at 24.4% for Belo Horizonte, 96.9% for Campo Grande, 100.0% for Palmas, and 33.2% for Teresina. The overall percentages of correction of the underlying cause of death in the MIS were 29.9%, 11.9%, 4.2%, and 33.5% for Belo Horizonte, Campo Grande, Curitiba, and Teresina, respectively. The correction of the classification of injury severity in police database were 100.0% for Belo Horizonte and Teresina, 48.0% for Campo Grande, and 51.4% for Palmas after linkage with hospital database. The linkage between mortality and police database found a percentage of correction of 29.5%, 52.3%, 4.4%, 74.3 and 72.9% for Belo Horizonte, Campo Grande, Palmas, Curitiba and Teresina, respectively in the police records. CONCLUSIONS: The results showed the importance of linking records of the health and police databases for estimating the quality of data on road traffic injuries and the victims in the five capital cities studied. The true causes of death and degrees of severity of the injuries caused by RTC are underestimated in the absence of integration of health and police databases. Thus, it is necessary to define national rules and standards of integration between health and traffic databases in national and state levels in Brazil.

Cobertura do Sistema de Informações sobre Nascidos Vivos e potenciais fontes de informação em municípios de pequeno porte em Minas Gerais, Brasil / The coverage of the Live Births Information System and potential sources of information in small-scale municipalities in the Brazilian State of Minas Gerais

Estimar a cobertura do Sistema de Informações sobre Nascidos Vivos (SINASC) e a contribuição de potenciais fontes de informação de amostra de municípios da mesorregião do Jequitinhonha, Minas Gerais, em 2008.Métodos:a lista de nascidos vivos (NV) informados ao SINASC foi complementada por NV localizados por busca ativa em cartórios, unidades de saúde, secretarias de assistência social, informanteschave das comunidades, parteiras tradicionais, igrejas, farmácias e arquivos das secretarias municipais de saúde. A cobertura foi calculada a partir da relação de NV informados ao SINASC e total de NV após busca ativa.Resultados:os resultados indicaram uma cobertura precária do SINASC, sendo inferior a 60 por cento em três dos cinco municípios estudados. Quase um quarto dos NV subenumerados não teve Declaração de Nascido Vivo (DN) emitida. As principais fontes de informação foram os cartórios, hospitais e Unidades Básicas de Saúde (UBS), correspondendo juntas ao total de 60 por cento dos NV localizados pela busca ativa.Conclusões:o produto da busca ativa de NV indicou problemas na qualidade da informação dos registros vitais em municípios de pequeno porte, relacionados principalmente a problemas na coleta e no fluxo das informações do SINASC nesses municípios...

To estimate the coverage of the Live Births Information System (SINASC) and the contribution of potential sources of information in a sample of municipalities in the mesoregion of Jequitinhonha, Minas Gerais, in 2008.Methods:the list of live births (LBs) reported to the SINASC was complemented by LBs located by an active search of registry offices, health units, social services departments, key informants in the communities, traditional midwives, churches, pharmacies and the records of municipal health departments. Coverage was calculated by comparing the number of LBs reported to the SINASC with the total after the active search.Results:the results indicate poor coverage by the SINASC of less than 60 percent in three of the five municipalities studied. No Live Birth Declaration (LBD) was issued in the case of almost a quarter of the underreported LBs. The main sources of information were registry offices, hospital and Basic Health Units (BHUs), representing a total of 60 percent of the LBs located by the active search.Conclusions:the active search for LBs identified problems regarding the quality of birth registry information in small-scale municipalities, related primarily to problems with collecting and distributing SINASC information in these areas...

Inequities in intraurban areas in the distribution of risk factors for non communicable diseases, Belo Horizonte, 2010.

OBJECTIVE: In order to identify intraurban differentials, the prevalence of major protection and risk factors for non communicable chronic diseases were analyzed in nine health districts of Belo Horizonte, Minas Gerais, Brazil. METHODS: Analysis of data from a telephone survey conducted with 2,000 adults in Belo Horizonte, in 2010, using the average linkage method for cluster analysis among the health districts, using sociodemographic variables (education, race and marital status). The study compared the prevalence of risk factors for non communicable diseases among the health districts. RESULTS: Four clusters were identified. The best socio-demographic indicators were found in cluster 4 (South Central health district), which also showed a higher prevalence of protective factors such as higher consumption of fruits and vegetables, higher frequency of physical activity practice in the free time, use of ultraviolet protection, higher proportion of ex-smokers, and lower prevalence of whole milk and high-fat meat consumption. As a risk factor, cluster 4 showed a higher proportion of alcohol abuse. Cluster 1, with the worst socio-demographic indicators, concentrated more risk factors such as consumption of whole milk, low regular consumption of fruit and vegetables, and lower practice of physical activity in the free time. The most frequent protective indicators in cluster 1 were the regular consumption of beans, having breakfast at home, and lower alcohol abuse. CONCLUSION: Intra-urban differences were found in the distribution of risk and protection factors or non transmissible diseases, these differences can support planning aimed at actions for greater equity in health.

Inequities in intraurban areas in the distribution of risk factors for non communicable diseases, Belo Horizonte, 2010 / Desigualdades intraurbanas na distribuição dos fatores de risco para doenças crônicas não transmissíveis, Belo Horizonte, 2010

Objective: In order to identify intraurban differentials, the prevalence of major protection and risk factors for non communicable chronic diseases were analyzed in nine health districts of Belo Horizonte, Minas Gerais, Brazil. Methods: Analysis of data from a telephone survey conducted with 2,000 adults in Belo Horizonte, in 2010, using the average linkage method for cluster analysis among the health districts, using sociodemographic variables (education, race and marital status). The study compared the prevalence of risk factors for non communicable diseases among the health districts. Results: Four clusters were identified. The best socio-demographic indicators were found in cluster 4 (South Central health district), which also showed a higher prevalence of protective factors such as higher consumption of fruits and vegetables, higher frequency of physical activity practice in the free time, use of ultraviolet protection, higher proportion of ex-smokers, and lower prevalence of whole milk and high-fat meat consumption. As a risk factor, cluster 4 showed a higher proportion of alcohol abuse. Cluster 1, with the worst socio-demographic indicators, concentrated more risk factors such as consumption of whole milk, low regular consumption of fruit and vegetables, and lower practice of physical activity in the free time. The most frequent protective indicators in cluster 1 were the regular consumption of beans, having breakfast at home, and lower alcohol abuse. Conclusion: Intra-urban differences were found in the distribution of risk and protection factors or non transmissible diseases, these differences can support planning aimed at actions for greater equity in health. .

Objetivo: Visando identificar diferenciais intraurbanos, foram analisadas prevalências dos principais fatores de risco e proteção para doenças crônicas não transmissíveis nos nove distritos sanitários de Belo Horizonte, Minas Gerais. Métodos: Análise dos dados de inquérito telefônico realizado com 2.000 adultos em Belo Horizonte em 2010, empregando-se average linkage para análise de clusters entre os distritos sanitários, com base em variáveis sociodemográficas (escolaridade, cor da pele e estado civil). O estudo comparou as prevalências dos fatores de risco para doenças crônicas não transmissíveis entre os distritos sanitários. Resultados: Foram identificados quatro clusters. O cluster 4 (distrito sanitário Centro Sul) apresentou as melhores condições sociodemográficas, além de maior prevalência de fatores de proteção, como maior consumo de frutas, legumes e verduras, maior frequência de atividade física no tempo livre, uso de proteção de raios ultravioleta, maior proporção de ex-fumantes e menor prevalência de consumo de leite com gordura integral e carne com gordura aparente. Como fator de risco, o cluster 4 apresentou maior proporção de consumo abusivo de álcool. O cluster 1, com piores indicadores sociodemográficos, concentrou mais fatores de risco, como maior consumo de leite com gordura, baixo consumo de frutas, legumes e verduras regular e menos atividade física no tempo livre. Os indicadores de proteção mais frequentes no cluster 1 foram: consumo regular de feijão, café da manhã em casa e menor consumo abusivo de álcool. Conclusão: Foram encontradas diferenças intraurbanas na distribuição dos fatores de risco e proteção para doenças crônicas ...