Post-Graduation Program in Health Sciences, State University of Maringá, Maringá; Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá
Department of Medicine, State University of Maringá, Maringá; Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá
Post-Graduation Program in Health Sciences, State University of Maringá, Maringá; Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá
Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá, BR; Department of Emergency Medicine, Duke University School of Medicine, Durham
Education, Letters and Health Center, State University of the West of Paraná, Foz do Iguaçu; Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá
Post-Graduation Program in Health Sciences, State University of Maringá, Maringá; Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá
Department of Medicine, State University of Maringá, Maringá, Brazil Post-Graduation Program in Health Sciences, State University of Maringá, Maringá; Study Group on Digital Technologies and Geoprocessing in Health (GETS), State University of Maringá, Maringá
Background: Mortality resulting from coronary artery disease (CAD) among women is a complex issue influenced by many factors that encompass not only biological distinctions but also sociocultural, economic, and healthcare-related components. Understanding these factors is crucial to enhance healthcare provisions. Therefore, this study seeks to identify the social and clinical variables related to the risk of mortality caused by CAD in women aged 50 to 79 years old in Paraná state, Brazil, between 2010 and 2019. Methods: This is an ecological study based on secondary data sourced from E-Gestor, IPARDES, and DATASUS. We developed a model that integrates both raw and standardized coronary artery disease (CAD) mortality rates, along with sociodemographic and healthcare service variables. We employed Bayesian spatiotemporal analysis with Markov Chain Monte Carlo simulations to assess the relative risk of CAD mortality, focusing specifically on women across the state of Paraná. Results: A total of 14,603 deaths from CAD occurred between 2010 and 2019. Overall, temporal analysis indicates that the risk of CAD mortality decreased by around 22.6% between 2010 (RR of 1.06) and 2019 (RR of 0.82). This decline was most prominent after 2014. The exercise stress testing rate, accessibility of cardiology centers, and IPARDES municipal performance index contributed to the reduction of CAD mortality by approximately 4%, 8%, and 34%, respectively. However, locally, regions in the Central-West, Central-South, Central-East, and Southern regions of the Central-North parts of the state exhibited risks higher-than-expected. Conclusion: In the last decade, CAD-related deaths among women in Paraná state decreased. This was influenced by more exercise stress testing, better access to cardiology centers, improved municipal performance index. Yet, elevated risks of deaths persist in certain regions due to medical disparities and varying municipal development. Therefore, prioritizing strategies to enhance women’s access to cardiovascular healthcare in less developed regions is crucial.
