The effect of redistributions of garbage codes on the evolution of mortality from Chronic Diseases in Brazil, 2010 to 2019.

Abstract

This study aimed to estimate premature mortality (30-69 years) for four priority NCD groups in Brazil from 2010 to 2019, comparing crude data from the Mortality Information System (SIM), SIM data adjusted by GC redistribution and underreporting, and data extracted from the Global Burden of Disease (GBD) study. Premature mortality rates due to NCDs declined in the period analyzed. Although the adjustment methods hardly changed temporal trends, we observed that mortality rates calculated with adjusted data were significantly higher than those without adjustment. This variation was heterogeneous among the Federated Units. The rates estimated by the crude SIM method ranged from 322.0 to 276.1 deaths per 100 thousand inhabitants, while the redistributed SIM rates ranged from 340.4 to 296.8 deaths per 100 thousand inhabitants. The estimated rates for the GBD ranged from 371.6 to 323.0 deaths per 100 thousand inhabitants. In conclusion, this study highlights the importance of adopting methods that can be applied to achieve more reliable mortality statistics, which continuously improves the definition of death causes in the SIM.