Differentials in death count records by databases in Brazil in 2010

Diógenes, V. H. D. et al. (2022) Differentials in death count records by databases in Brazil in 2010. Revista de Saúde Pública, 56, 92. (doi: 10.11606/s1518-8787.2022056004282) (PMID:36287489) (PMCID:PMC9586519)

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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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Leyland, Professor Alastair and Dundas, Professor Ruth
Authors: Diógenes, V. H. D., Pinto Júnior, E. P., Gonzaga, M. R., Queiroz, B. L., Lima, E. E. C., Costa, L. C. C. d., Rocha, A. S., Ferreira, A. J.F., Teixeira, C. S.S., Alves, F. J. O., Rameh, L., Flores-Ortiz, R., Leyland, A., Dundas, R., Barreto, M. L., and Ichihara, M. Y. T.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Journal Name:Revista de Saúde Pública
Publisher:Universidade de Sao Paulo Faculdade de Saude Publica
ISSN:0034-8910
ISSN (Online):1518-8787
Published Online:19 October 2022
Copyright Holders:Copyright © 2022 Faculdade de Saúde Pública
First Published:First published in Revista de Saúde Pública 56: 92
Publisher Policy:Reproduced under a Creative Commons License
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300390Strengthening data linkage to reduce health inequalities in low and middle income countries: building on the Brazilian 100 million cohortAlastair LeylandNational Institute for Health Research (NIHR)16/137/99HW - MRC/CSO Social and Public Health Sciences Unit
3048231Inequalities in healthAlastair LeylandMedical Research Council (MRC)MC_UU_00022/2HW - MRC/CSO Social and Public Health Sciences Unit
3048231Inequalities in healthAlastair LeylandChief Scientist Office (CSO)SPHSU17HW - MRC/CSO Social and Public Health Sciences Unit