Evidence map›Paper›PMID 39902319›Full record

ArticlePeerJ2025

Investigation of geographic disparities and temporal changes of non-gestational diabetes-related emergency department visits in Florida: a retrospective ecological study.

Md Marufuzzaman Khan, Agricola Odoi

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Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Md Marufuzzaman Khan *Beth Israel Deaconess Medical Center, Boston, MA, United States.
Agricola Odoi *Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, Tenneesee, United States.ORCID 0000-0001-5050-6737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rates of diabetes-related Emergency Department (ED) visits in Florida increased by 54% between 2011 and 2016. However, little information is available on geographic disparities of ED visit rates and how these disparities changed over time in Florida and yet this information is important for guiding resource allocation for diabetes control programs. Therefore, the objectives of this study were to (a) investigate geographic disparities and temporal changes in non-gestational diabetes-related ED visit rates in Florida and (b) identify predictors of geographic disparities in non-gestational diabetes-related ED visit rates. Methods: The ED data for the period between 2016 and 2019 were obtained from the Florida Agency for Healthcare Administration. Records of non-gestational diabetes-related ED visits were extracted using the International Classification of Diseases (ICD)-10 codes. Monthly non-gestational diabetes-related ED visit rates were computed and temporal changes were investigated using the Cochran-Armitage trend test. County-level non-gestational diabetes-related ED visit rates per 100,000 person-years were calculated and their geographic distributions were visualized using choropleth maps. Clusters of counties with high non-gestational diabetes-related ED visit rates were identified using Kulldorff's circular and Tango's flexible spatial scan statistics. Predictors of non-gestational diabetes-related ED visit rates were investigated using negative binomial model. The geographic distributions of significant ( Results: There was a significant ( Conclusions: The study findings confirm geographic disparities of non-gestational diabetes-related ED visit rates in Florida with high-rate areas observed in the rural northern and south-central parts of the state. Specific attention is required to address disparities in counties with high diabetes prevalence, high percentages of non-Hispanic Black, and uninsured populations. These findings are useful for guiding public health efforts geared at reducing disparities and improving diabetes outcomes in Florida.

Indexed as

Diabetes MellitusEmergency Service, HospitalHealthcare DisparitiesAdultEmergency Room VisitsFemaleFloridaHumansRetrospective StudiesEmergency departmentEmergency department visitsEpidemiologyFloridaKulldorff’s circular spatial scan statisticsNegative binomial modelNon-gestational diabetesTango’s flexible spatial scan statistics

Identifiers

PMID39902319
PMCPMC11789650

What Socratic holds

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LicenceCC BY
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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 Socratic graph.