Abstract
The University of Kansas Cancer Center (KU Cancer Center) recently developed a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK). The OPTIK database aggregates and standardizes data collected across the bistate catchment area served by the KU Cancer Center. To improve the usability of the OPTIK database, we developed shinyOPTIK, a user-friendly, interactive web application for visualizing cancer risk factor and mortality rate data across the KU Cancer Center Catchment area. Data in the OPTIK database were first consolidated at the county level across the KU Cancer Center catchment area. Next, the shinyOPTIK development team met with the KU Cancer Center leadership to discuss the needs and priorities of the shinyOPTIK web application. shinyOPTIK was developed under the R Shiny framework and consists of a user interface (ui.R) and a web server (server.R). At present, shinyOPTIK can be used to generate county-level geographical heatmaps; bar plots of demographic, screening, and risk factors; and line plots to visualize temporal trends at different Rural-Urban Continuum Codes (RUCCs), rural-urban status, metropolitan, or county levels across the KU Cancer Center catchment area. Two examples, adult obesity prevalence and lung cancer mortality, are presented to illustrate how researchers can use shinyOPTIK. Each example is accompanied by post hoc visualizations to help explain key observations in terms of rural-urban disparities. Although shinyOPTIK was developed to improve understanding of spatial and temporal trends across the population served by the KU Cancer Center, our hope is that the description of the steps involved in the creation of this tool along with open-source code for our application provided herein will serve as a guide for other research centers in the development of similar tools.
Highlights
The University of Kansas Cancer Center (KU Cancer Center) serves a population that extends across rural and urban counties of Kansas and 18 counties of western Missouri that lay along the state border
CONCLUSION shinyOPTIK was developed to improve understanding of spatial and temporal trends across the population served by the KU Cancer Center, our hope is that the description of the steps involved in the creation of this tool along with open-source code for our application provided will serve as a guide for other research centers in the development of similar tools
Knowledge Generated We describe the development of shinyOPTIK, an interactive web application that can be used generate county-level geographical heatmaps; bar plots of demographic, screening, and risk factors; and line plots to visualize temporal trends across the University of Kansas Cancer Center (KU Cancer Center) catchment area
Summary
The University of Kansas Cancer Center (KU Cancer Center) serves a population that extends across rural and urban counties of Kansas and 18 counties of western Missouri that lay along the state border. The changing population pattern across the state of Kansas complicates the assessment of cancer needs throughout the catchment area. Population growth in Kansas has not been uniform across the state.. Using County Health Rankings data by Robert Wood Johnson Foundation (2021), substantial health disparities have been observed across the KU Cancer Center catchment area, two adjacent and highly populous counties in Kansas. Johnson County, Kansas, ranks number one in health outcomes, health behaviors, and clinical care, whereas the adjacent Wyandotte County ranks last (104th) in health outcomes, last in health behaviors, and 91st in clinical care across the state.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
