L. Razaila - Academia.edu (original) (raw)

Papers by L. Razaila

Research paper thumbnail of Addressing diabetes disparities through sub-county analysis of multiple data sources

Diabetes continues to be a persistent source of health disparities in the US. These disparities a... more Diabetes continues to be a persistent source of health disparities in the US. These disparities are unevenly distributed throughout the US, within individual states and within local communities. Multiple sources of data provide insights into the impact of diabetes at the local level, including death certificate, clinical and survey data. Expanded sampling of BRFSS in the local community and adaptation of CDC weighting formulas for sub-county analysis facilitated the use of BRFSS for this analysis. Acquisition of Hospital Discharge, Emergency room utilization and vital statistics data also facilitated analyses supporting planning and policy development. Results of the analyses of the multiple sources of data including relative risk analysis and GIS mapping showed high minority areas of the community had approximately twice the relative risk of other areas of the community for mortality and self-reported prevalence. However, the same areas had four times the relative risk for hospital...

Research paper thumbnail of INVESTIGACIÓN ORIGINAL Uso de múltiples fuentes de datos para evaluar la prevalencia de la diabetes a nivel de subcondados, condado de Duval, Florida, 2007

Introducción Las tasas de diabetes continúan creciendo en los Estados Unidos. Para abordar de man... more Introducción Las tasas de diabetes continúan creciendo en los Estados Unidos. Para abordar de manera eficaz la epidemia es necesario contar con un mejor entendimiento de la distribución de la enfermedad y de la conglomeración geográfica de los factores influyentes. Las ...

Research paper thumbnail of Policy Implications for Local Application of the 2009 Youth Risk Behavior Survey, Duval County, Florida

Preventing Chronic Disease, 2012

Research paper thumbnail of 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 epi... more 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.

Research paper thumbnail of Policy Implications for Local Application of the 2009 Youth Risk Behavior Survey, Duval County, Florida

Preventing Chronic Disease, 2012

Youth Risk Behavior Survey (YRBS) data have rarely been analyzed at the subcounty level. The purp... more Youth Risk Behavior Survey (YRBS) data have rarely been analyzed at the subcounty level. The purpose of this study was to explore the feasibility of such analysis and its potential to inform local policy and resource allocation.

Research paper thumbnail of Peer Reviewed: Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007

We analyzed multiple sources of secondary data related to diabetes illness and death in Duval Cou... more 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 ...

Research paper thumbnail of Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007

Diabetes rates continue to grow in the United States. Effectively addressing the epidemic require... more 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.

Research paper thumbnail of Addressing diabetes disparities through sub-county analysis of multiple data sources

Diabetes continues to be a persistent source of health disparities in the US. These disparities a... more Diabetes continues to be a persistent source of health disparities in the US. These disparities are unevenly distributed throughout the US, within individual states and within local communities. Multiple sources of data provide insights into the impact of diabetes at the local level, including death certificate, clinical and survey data. Expanded sampling of BRFSS in the local community and adaptation of CDC weighting formulas for sub-county analysis facilitated the use of BRFSS for this analysis. Acquisition of Hospital Discharge, Emergency room utilization and vital statistics data also facilitated analyses supporting planning and policy development. Results of the analyses of the multiple sources of data including relative risk analysis and GIS mapping showed high minority areas of the community had approximately twice the relative risk of other areas of the community for mortality and self-reported prevalence. However, the same areas had four times the relative risk for hospital...

Research paper thumbnail of Addressing diabetes disparities through sub-county analysis of multiple data sources

Diabetes continues to be a persistent source of health disparities in the US. These disparities a... more Diabetes continues to be a persistent source of health disparities in the US. These disparities are unevenly distributed throughout the US, within individual states and within local communities. Multiple sources of data provide insights into the impact of diabetes at the local level, including death certificate, clinical and survey data. Expanded sampling of BRFSS in the local community and adaptation of CDC weighting formulas for sub-county analysis facilitated the use of BRFSS for this analysis. Acquisition of Hospital Discharge, Emergency room utilization and vital statistics data also facilitated analyses supporting planning and policy development. Results of the analyses of the multiple sources of data including relative risk analysis and GIS mapping showed high minority areas of the community had approximately twice the relative risk of other areas of the community for mortality and self-reported prevalence. However, the same areas had four times the relative risk for hospital...

Research paper thumbnail of INVESTIGACIÓN ORIGINAL Uso de múltiples fuentes de datos para evaluar la prevalencia de la diabetes a nivel de subcondados, condado de Duval, Florida, 2007

Introducción Las tasas de diabetes continúan creciendo en los Estados Unidos. Para abordar de man... more Introducción Las tasas de diabetes continúan creciendo en los Estados Unidos. Para abordar de manera eficaz la epidemia es necesario contar con un mejor entendimiento de la distribución de la enfermedad y de la conglomeración geográfica de los factores influyentes. Las ...

Research paper thumbnail of Policy Implications for Local Application of the 2009 Youth Risk Behavior Survey, Duval County, Florida

Preventing Chronic Disease, 2012

Research paper thumbnail of 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 epi... more 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.

Research paper thumbnail of Policy Implications for Local Application of the 2009 Youth Risk Behavior Survey, Duval County, Florida

Preventing Chronic Disease, 2012

Youth Risk Behavior Survey (YRBS) data have rarely been analyzed at the subcounty level. The purp... more Youth Risk Behavior Survey (YRBS) data have rarely been analyzed at the subcounty level. The purpose of this study was to explore the feasibility of such analysis and its potential to inform local policy and resource allocation.

Research paper thumbnail of Peer Reviewed: Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007

We analyzed multiple sources of secondary data related to diabetes illness and death in Duval Cou... more 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 ...

Research paper thumbnail of Using Multiple Sources of Data to Assess the Prevalence of Diabetes at the Subcounty Level, Duval County, Florida, 2007

Diabetes rates continue to grow in the United States. Effectively addressing the epidemic require... more 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.

Research paper thumbnail of Addressing diabetes disparities through sub-county analysis of multiple data sources

Diabetes continues to be a persistent source of health disparities in the US. These disparities a... more Diabetes continues to be a persistent source of health disparities in the US. These disparities are unevenly distributed throughout the US, within individual states and within local communities. Multiple sources of data provide insights into the impact of diabetes at the local level, including death certificate, clinical and survey data. Expanded sampling of BRFSS in the local community and adaptation of CDC weighting formulas for sub-county analysis facilitated the use of BRFSS for this analysis. Acquisition of Hospital Discharge, Emergency room utilization and vital statistics data also facilitated analyses supporting planning and policy development. Results of the analyses of the multiple sources of data including relative risk analysis and GIS mapping showed high minority areas of the community had approximately twice the relative risk of other areas of the community for mortality and self-reported prevalence. However, the same areas had four times the relative risk for hospital...