246181 Mapping diabetes-related rates and resources using geographic information systems and secondary data

Wednesday, November 2, 2011: 9:35 AM

Amy B. Curtis, PhD, MPH , Interdisciplinary Health Sciences, Western Michigan University, Kalamazoo, MI
Catherine L. Kothari, MA , PhD Program in Interdisciplinary Health Sciences, Western Michigan University, Kalamazoo, MI
Background: In order to efficiently help communities prevent and manage diabetes, health departments need to be able to target high risk populations with low resources related to diabetes. To aid in this process, we mapped county-level diabetes-related rates and resources using secondary data sources to determine Michigan (MI) counties with favorable and very unfavorable profiles. Methods: We collected diabetes-related rates and resources from web-based sources and mapped these using Blender v2.49 software and arcGIS 9.3. Web sources included age-adjusted county diabetes rates (Centers for Disease Control and Prevention), percent of Medicare patient who received A1C testing in the past year (Dartmouth Atlas of Healthcare), number of certified diabetes educators (CDE) (American Diabetes Association (ADA)), diabetes support groups (MI Diabetes Outreach Networks), as well as population estimates and household incomes (U.S. Census). Favorable profiles were indicated by below average rates of disease and above average A1C testing completion and resources. Very unfavorable counties were defined as having 3 or more of the following: no support groups, no CDE, below average A1C testing, and above average diabetes rates. Results: Of the 83 MI counties, 14 had favorable profiles and 5 had very unfavorable profiles. Mapping allowed us to easily see the 7 counties (all northern or midstate) with higher than average diabetes rates as well as missing either a CDE or support groups. Conclusions: Use of public data and mapping tools can help to identify counties with low and high diabetes-related needs and resources.

Learning Areas:
Assessment of individual and community needs for health education
Program planning
Public health or related research

Learning Objectives:
1) Articulate the procedure for identifying counties to target diabetes resources based on mapping diabetes-related rates and current resources using geographic information systems and secondary data. 2) List Michigan counties with favorable and unfavorable diabetes-related profiles

Keywords: Diabetes, Geographic Information Systems

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present because I am an epidemiologist who conducts research on diabetes education and support programs and conducted this research.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

See more of: Diabetes epidemiology
See more of: Epidemiology