Evidence map›Paper›PMID 31783516›Full record

ArticleInternational journal of environmental research and public health2019

Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida.

Evah W Odoi, Nicholas Nagle, Chris DuClos, Kristina W Kintziger

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Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Evah W OdoiComparative and Experimental Medicine, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN 37996, USA.
Nicholas NagleDepartment of Geography, The University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0002-3721-8148
Chris DuClosEnvironmental Public Health Tracking, Division of Community Health Promotion, Florida Department of Health, Tallahassee, FL 32399, USA.
Kristina W KintzigerDepartment of Public Health, The University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0003-3555-7805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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's circular and Tango'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%-21% in high-risk clusters and by 9%-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.

Indexed as

Cluster AnalysisFloridaHospitalizationHumansMyocardial InfarctionRetrospective StudiesSpatio-Temporal Analysisgeographic disparitieshospitalization risksKulldorff and Tango’s flexible spatial scan statisticsmyocardial Infarctiontemporal patterns

Identifiers

PMID31783516
PMCPMC6926732

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.