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Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007
INTRODUCTION: Diabetes rates continue to grow in the United States. Effectively addressing the epidemic requires better understanding of the distribution of disease and the geographic clustering of factors that influence it. Variations in the prevalence of diabetes at the local level are largely unr...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938402/ https://www.ncbi.nlm.nih.gov/pubmed/20712935 |
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author | Livingood, William C. Razaila, Luminita Reuter, Elena Filipowicz, Rebecca Butterfield, Ryan C. Lukens-Bull, Katryne Edwards, Linda Palacio, Carlos Wood, David L. |
author_facet | Livingood, William C. Razaila, Luminita Reuter, Elena Filipowicz, Rebecca Butterfield, Ryan C. Lukens-Bull, Katryne Edwards, Linda Palacio, Carlos Wood, David L. |
author_sort | Livingood, William C. |
collection | PubMed |
description | INTRODUCTION: Diabetes rates continue to grow in the United States. Effectively addressing the epidemic requires better understanding of the distribution of disease and the geographic clustering of factors that influence it. Variations in the prevalence of diabetes at the local level are largely unreported, making understanding the disparities associated with the disease more difficult. Diabetes death rates during the past 15 years in Duval County, Florida, have been disproportionately high compared with the rest of the state. METHODS: We analyzed multiple sources of secondary data related to diabetes illness and death in Duval County, including data on hospital discharge, emergency department (ED) use, and vital statistics. We accessed diabetes and diabetes-related ED use and hospitalization and death data by using codes from the International Classification of Diseases versions 9 and 10. We analyzed data from the Behavioral Risk Factor Surveillance System survey for Duval County and adapted Centers for Disease Control and Prevention weighting formulas for subcounty analysis. We used relative risk-type disease ratios and geographic information systems mapping to analyze data. RESULTS: The urban, mostly minority, low-socioeconomic area of Duval County had twice the rate of diabetes-related illness and death as other areas of the county, and the inner-city, poor area of the county had almost 3 times the rate of hospitalization and ED use for diabetes and diabetes-related conditions compared with the other areas of the county. CONCLUSION: Our analyses show that diabetes-related disparities affect not only people and their families but also the community that absorbs the costs associated with the disproportionate health care use that results from these disparities. Analyzing data at the subcounty level has implications for health care planning and public health policy development at the local level. |
format | Text |
id | pubmed-2938402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-29384022010-09-30 Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 Livingood, William C. Razaila, Luminita Reuter, Elena Filipowicz, Rebecca Butterfield, Ryan C. Lukens-Bull, Katryne Edwards, Linda Palacio, Carlos Wood, David L. Prev Chronic Dis Original Research INTRODUCTION: Diabetes rates continue to grow in the United States. Effectively addressing the epidemic requires better understanding of the distribution of disease and the geographic clustering of factors that influence it. Variations in the prevalence of diabetes at the local level are largely unreported, making understanding the disparities associated with the disease more difficult. Diabetes death rates during the past 15 years in Duval County, Florida, have been disproportionately high compared with the rest of the state. METHODS: We analyzed multiple sources of secondary data related to diabetes illness and death in Duval County, including data on hospital discharge, emergency department (ED) use, and vital statistics. We accessed diabetes and diabetes-related ED use and hospitalization and death data by using codes from the International Classification of Diseases versions 9 and 10. We analyzed data from the Behavioral Risk Factor Surveillance System survey for Duval County and adapted Centers for Disease Control and Prevention weighting formulas for subcounty analysis. We used relative risk-type disease ratios and geographic information systems mapping to analyze data. RESULTS: The urban, mostly minority, low-socioeconomic area of Duval County had twice the rate of diabetes-related illness and death as other areas of the county, and the inner-city, poor area of the county had almost 3 times the rate of hospitalization and ED use for diabetes and diabetes-related conditions compared with the other areas of the county. CONCLUSION: Our analyses show that diabetes-related disparities affect not only people and their families but also the community that absorbs the costs associated with the disproportionate health care use that results from these disparities. Analyzing data at the subcounty level has implications for health care planning and public health policy development at the local level. Centers for Disease Control and Prevention 2010-08-15 /pmc/articles/PMC2938402/ /pubmed/20712935 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Original Research Livingood, William C. Razaila, Luminita Reuter, Elena Filipowicz, Rebecca Butterfield, Ryan C. Lukens-Bull, Katryne Edwards, Linda Palacio, Carlos Wood, David L. Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 |
title | Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 |
title_full | Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 |
title_fullStr | Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 |
title_full_unstemmed | Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 |
title_short | Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007 |
title_sort | using multiple sources of data to assess the prevalence of diabetes at the subcounty level, duval county, florida, 2007 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938402/ https://www.ncbi.nlm.nih.gov/pubmed/20712935 |
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