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. 2022 Oct 24:56:92.
doi: 10.11606/s1518-8787.2022056004282. eCollection 2022.

Differentials in death count records by databases in Brazil in 2010

Victor Hugo Dias Diógenes  1   2 , Elzo Pereira Pinto Júnior  3 , Marcos Roberto Gonzaga  1   4 , Bernardo Lanza Queiroz  5 , Everton E C Lima  6 , Lilia Carolina C da Costa  7 , Aline S Rocha  3   8 , Andrêa J F Ferreira  3   9 , Camila S S Teixeira  3   9 , Flávia Jôse O Alves  3   9 , Leila Rameh  3 , Renzo Flores-Ortiz  3 , Alastair Leyland  10 , Ruth Dundas  10 , Maurício L Barreto  3   9 , Maria Yury Travassos Ichihara  3
Affiliations

Differentials in death count records by databases in Brazil in 2010

Victor Hugo Dias Diógenes et al. Rev Saude Publica. .

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.

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Conflict of interest statement

Conflict of Interest: The authors declare no conflict of interest.

Figures

Figure 1
Figure 1. Brazilian municipalities according to the database with the highest death count, 2010.
Figure 2
Figure 2. Socioeconomic indicators (IBP and IDHM) X SIM/Census ratio, Brazil, 2010.
Figure 3
Figure 3. Socioeconomic indicator (IBP and IDHM) bivariate cluster and SIM/Census ratio map, Brazil, 2010.
See this image and copyright information in PMC

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