Author:

• Deborah Carvalho Malta - Malta, D.C - <dcmalta@uol.com>
ORCID: https://orcid.org/0000-0002-8214-5734

Co-author(s):

• Renato Azeredo Teixeira - Teixeira, R. A. - <renato115@yahoo.com>
ORCID: http://orcid.org/0000-0002-1259-6812
• Juliana Bottoni de Souza - Souza, J.B - <juliana_bottoni@yahoo.com.br>
ORCID: https://orcid.org/0000-0002-9308-7445
• Érika Carvalho de Aquino - Aquino, E.C - <erikaaquino345@gmail.com>
ORCID: https://orcid.org/0000-0002-5659-0308
• Ademar Barbosa Dantas Júnior - Dantas Júnior, A. B. - <abarbosadantasjunior@gmail.com.>
ORCID: https://orcid.org/0000-0001-9632-6432
• Adauto Martins Soares Filho - Soares Filho, A. M. - <afilho_2006@hotmail.com>
ORCID: https://orcid.org/0000-0002-0917-7473
• Elisabeth Barboza França - França, E. B. - <efranca.med@gmail.com.>
ORCID: https://orcid.org/0000-0001-6984-0233
• Ana Maria Nogales Vasconcelos - Vasconcelos, A. M. N. - <nogales@unb.br>
ORCID: https://orcid.org/0000-0001-7589-107X
• Maria de Fátima Marinho de Souza - Souza, M. F. M. - <mfmsouza@gmail.com>
ORCID: https://orcid.org/0000-0003-3287-9163
• Lenice Harumi Ishitani - Ishitani, L. H. - <lenice.ishi@gmail.com>
ORCID: https://orcid.org/0000-0002-7165-4736
• Crizian Saar Gomes - Gomes, C. S. - <criziansaar@gmail.com, criziansaar@hotmail.com>
ORCID: https://orcid.org/0000-0001-6586-4561
• Marli de Mesquita Silva Montenegro - Montenegro, M. M. S. - <marlimontenegro@gmail.com>
ORCID: https://orcid.org/0000-0001-6390-0901
• Valdelaine Etelvina Miranda de Araújo - Araújo, V. E. M. - <valdelaine.miranda@gmail.com.>
ORCID: https://orcid.org/0000-0003-1263-1646
• Shirlei Moreira da Costa Faria - Faria, S. M. C. - <shirleidacosta16@gmail.com>
ORCID: https://orcid.org/0000-0002-7901-4098
• Bruce Bartholow Duncan - Duncan, B. D. - <bbduncan@ufrgs.br>
ORCID: https://orcid.org/0000-0002-7491-2630
• Antonio Luiz Pinho Ribeiro - Ribeiro, A. L. P. - <tom1963br@yahoo.com.br>
ORCID: https://orcid.org/0000-0002-2740-0042

Abstract:

The study aimed to estimate premature mortality (30 to 69 years) for four priority groups of NCDs in Brazil,2010 to 2019, comparing datathe Mortality Information System (SIM) raw, uncorrected, SIM data corrected by GC redistribution and under-registration and data extractedthe Global Burden of Disease (GBD) study. Premature mortality rates due to NCDs showed a reduction in the period analyzed. Although the correction methods changed temporal trends little, it was observed that mortality rates calculated with corrected data were significantly higher than those without correction. This variation was heterogeneous among the Federated Units. The rates estimated by the raw SIM method ranged322.0 to 276.1 deaths per 100 thousand inhabitants, while the redistributed SIM rates ranged340.4 to 296.8 deaths per 100 thousand inhabitants. The estimated rates for the GDB ranged371.6 to 323.0 deaths per 100 thousand inhabitants. In conclusion, this study highlights the importance of adopting methods that can be applied so that we have more reliable statistics related to mortality, which contributes to the continuous improvement of the definition of causes of death in the SIM.

Keywords:

Noncommunicable Diseases; Vital statistics; Cause of death; Data accuracy; Health Information Systems

Content:

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