Análise temporal da mortalidade por causas evitáveis no período de 2013 a 2022, em um município do meio oeste catarinense

Background and Objectives: Preventable deaths are those that could have been avoided by effective health service actions during the period in which they occurred. Describing preventable mortality provides valuable indicators of health services, enabling the assessment of quality and effectiveness based on the data obtained. The objective was to analyze mortality trends from preventable causes and outline the profile of preventable deaths in the city called Caçador, in Santa Catarina, from 2013 to 2022. Methods: An ecological time-series study with secondary data from the DATASUS Mortality Information System. The analysis was bivariate, and Joinpoint regression was used for temporal trend analysis, employing the Empirical Quantile method and the Weighted Bayesian Information Criteria. Results: 67.3% of deaths were classified as preventable. Time trend analysis identified two distinct phases: an average annual reduction of 13.09% between 2013 and 2015, followed by an increase of 2.44% per year from 2015 to 2022. Stratification by sex revealed significant trends for males, with a 15.62% annual decrease in the initial period and a subsequent 2.9% annual increase, particularly associated with cardiovascular diseases, which accounted for 10.0% of preventable deaths among men. Among females, an average downward trend of 0.23% per year was observed, without statistical significance. Conclusion: A higher rate of preventable mortality was observed in males, and of these, NCDs had a higher rate during the period. Analyzing mortality data is a practice as a tool for managing, planning, and evaluating public policies.