Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida
| Autor: | Chris DuClos, Kristina W. Kintziger, Nicholas N. Nagle, Evah W Odoi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
myocardial Infarction
Health Toxicology and Mutagenesis Psychological intervention 030204 cardiovascular system & hematology Article Retrospective data 03 medical and health sciences 0302 clinical medicine Spatio-Temporal Analysis parasitic diseases medicine Cluster Analysis Humans 030212 general & internal medicine Myocardial infarction Health planning Kulldorff and Tango’s flexible spatial scan statistics Retrospective Studies business.industry Public Health Environmental and Occupational Health medicine.disease body regions Hospitalization hospitalization risks temporal patterns geographic disparities Spatial clustering Florida business Demography |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 16 Issue 23 |
| ISSN: | 1660-4601 |
| Popis: | Knowledge of geographical disparities in myocardial infarction (MI) is critical for guiding health planning and resource allocation. The objectives of this study were to identify geographic disparities in MI hospitalization risks in Florida and assess temporal changes in these disparities between 2005 and 2014. This study used retrospective data on MI hospitalizations that occurred among Florida residents between 2005 and 2014. We identified spatial clusters of hospitalization risks using Kulldorff&rsquo s circular and Tango&rsquo s flexible spatial scan statistics. Counties with persistently high or low MI hospitalization risks were identified. There was a 20% decline in hospitalization risks during the study period. However, we found persistent clustering of high risks in the Big Bend region, South Central and southeast Florida, and persistent clustering of low risks primarily in the South. Risks decreased by 7%&ndash 21% in high-risk clusters and by 9%&ndash 28% in low-risk clusters. The risk decreased in the high-risk cluster in the southeast but increased in the Big Bend area during the last four years of the study. Overall, risks in low-risk clusters were ahead those for high-risk clusters by at least 10 years. Despite MI risk declining over the study period, disparities in MI risks persist. Eliminating/reducing those disparities will require prioritizing high-risk clusters for interventions. |
| Databáze: | OpenAIRE |
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