ArticleBMC public health2019
Geographic disparities and temporal changes in risk of death from myocardial infarction in Florida, 2000-2014.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Using Spatial Scan Statistics and Geographic Information Systems to Detect Monthly Human Mobility Clusters and Analyze Cluster Area Characteristics.JMA journal · 2024Article
- Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach.International journal of health geographics · 2024Article
- Geographic disparities in COVID-19 testing and outcomes in Florida.BMC public health · 2023Article
- Trends and Inequalities in the Incidence of Acute Myocardial Infarction among Beijing Townships, 2007-2018.International journal of environmental research and public health · 2021Article
- Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran.BMC public health · 2021Article
- Article
- Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida.Journal of the American Heart Association · 2020Article
- Health service inequalities during the COVID-19 pandemic among elderly people living in large urban and non-urban areas in Florida, USA.SAGE open medicine · 2020Article
- Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida.International journal of environmental research and public health · 2019Article
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Authors and funding
4 authors.
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Abstract
backgroundIdentifying disparities in myocardial infarction (MI) burden and assessing its temporal changes are critical for guiding resource allocation and policies geared towards reducing/eliminating health disparities. Our objectives were to: (a) investigate the spatial distribution and clusters of MI mortality risk in Florida; and (b) assess temporal changes in geographic disparities in MI mortality risks in Florida from 2000 to 2014.
methodsThis is a retrospective ecologic study with county as the spatial unit of analysis. We obtained data for MI deaths occurring among Florida residents between 2000 and 2014 from the Florida Department of Health, and calculated county-level age-adjusted MI mortality risks and Spatial Empirical Bayesian smoothed MI mortality risks. We used Kulldorff's circular spatial scan statistics and Tango's flexible spatial scan statistics to identify spatial clusters.
resultsThere was an overall decline of 48% in MI mortality risks between 2000 and 2014. However, we found substantial, persistent disparities in MI mortality risks, with high-risk clusters occurring primarily in rural northern counties and low-risk clusters occurring exclusively in urban southern counties. MI mortality risks declined in both low- and high-risk clusters, but the latter showed more dramatic decreases during the first nine years of the study period. Consequently, the risk difference between the high- and low-risk clusters was smaller at the end than at the beginning of the study period. However, the rates of decline levelled off during the last six years of the study, and there are signs that the risks may be on an upward trend in parts of North Florida. Moreover, MI mortality risks for high-risk clusters at the end of the study period were on par with or above those for low-risk clusters at the beginning of the study period. Thus, high-risk clusters lagged behind low-risk clusters by at least 1.5 decades.
conclusionMyocardial infarction mortality risks have decreased substantially during the last 15 years, but persistent disparities in MI mortality burden still exist across Florida. Efforts to reduce these disparities will need to target prevention programs to counties in the high-risk clusters.
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