| Journal: | Revista de saude publica |
| Database: | |
| System number: | 000535722 |
| ISSN: | 0034-8910 |
| Authors: | Diógenes, Victor Hugo Dias1 Pinto Júnior, Elzo Pereira3 Gonzaga, Marcos Roberto1 Queiroz, Bernardo Lanza4 Lima, Everton E. C.5 Costa, Lilia Carolina C. da6 Rocha, Aline S.3 Ferreira, Andrêa J. F.3 Teixeira, Camila S. S.3 Alves, Flávia Jôse O.3 Rameh, Leila3 Flores Ortiz, Renzo3 Leyland, Alastair9 Dundas, Ruth9 Barreto, Maurício L.3 Ichihara, Maria Yury Travassos3 |
| Institutions: | 1Universidade Federal do Rio Grande do Norte, Centro de Ciências Exatas e da Terra, Natal, Rio Grande do Norte. Brasil 2Universidade Federal da Paraíba, Centro de Ciências Sociais Aplicadas, João Pessoa. Brasil 3Fundação Oswaldo Cruz, Centro de Integração de Dados e Conhecimentos para Saúde, Salvador. Brasil 4Universidade Federal de Minas Gerais, Faculdade de Ciências Econômicas, Belo Horizonte, Minas Gerais. Brasil 5Universidade Estadual de Campinas, Instituto de Filosofia e Ciências Humanas, Campinas, São Paulo. Brasil 6Universidade Federal da Bahia, Instituto de Matemática e Estatística, Salvador, Bahia. Brasil 7Universidade Federal da Bahia, Escola de Nutrição, Salvador, Bahia. Brasil 8Universidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, Bahia. Brasil 9University of Glasgow, Medical Research Council, Glasgow. Reino Unido |
| Year: | 2022 |
| Volumen: | 56 |
| Country: | Brasil |
| Language: | Inglés |
| English abstract | OBJECTIVE To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. METHODS This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP – Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM – Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. RESULTS Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. CONCLUSION The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire. |
| Keyword: | Mortality Registries, Information Storage and Retrieval, Health Information Systems |
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