1. GIS Internet Map Servers for Health Applications Carol L. Hanchette, Ph.D. Rebecca D. Martin, Ph.D. Research Triangle Institute Research Triangle Park, NC

2. GIS and Health Services Research  Physician/facility location and allocation  Market and hospital service areas  Delivery of health and community services to welfare recipients (DSS clients, childcare, employment, public transit)  Census tract rankings for family services (factors identified, ranked, mapped by quintile)

3. Health and Risk Factor Data to ID High Risk Areas  Childhood lead poisoning  Immunization “Pockets of Need” (logistic regression model used with immunization survey, birth certificates, census data)  Prediction of Teen Live Birth Rates using Census Data (logistic regression using 4 indicators)

4. Health and Risk Factor Data to ID High Risk Areas

5. What is GIS?  A set of tools for processing spatial data into information for enhanced decision making  A relational database management system where each record in every database is tied to a geographic location

6. Spatial and Attribute Data  Spatial data contain information about location, dimensions, shape, associations and relationships.  Attribute data describe the non- spatial components of the database.  Linked through a geocode (e.g. county, zip code, street address)

7. Spatial and Attribute Data

8. Barriers to GIS Use  Lack of trained GIS staff  Cost of unavailibility of spatial data  Costs of purchasing GIS software

9. GIS Technology Trends  Mini-computers  Unix workstations  PCs  Command line  Graphical User Interfaces  Internet Map Server

10. Internet Map Server Technology  Hardware, software and data reside on GIS server  Mapping and spatial analysis capabilities are accessed via Web browser  Access: public OR password-protected  No training needed  Customization/tool development

11. Internet Map Server Technology National Cancer Institute Atlas of Cancer Mortality

12. Venipuncture Project Management

14. Central Cancer Registry Operations Management

15. Iowa: patients, cities, hospitals and reporting rates

16. Central Cancer Registry Operations Management Tennessee: View all patients within 75 miles of Johnson City

17. Central Cancer Registry Operations Management Spatial Query of Reporting Rate

18. Visualization and Analysis of Cancer Data Spatially enabling cancer data: Automated geocoding Address matching Data aggregation to maintain confidentiality Provision of services Distance to patient Access to care

19. Visualization and Analysis of Cancer Data Link to census and health outcomes data

20. Visualization and Analysis of Cancer Data

21. Quality Control of Geographic Identifiers  Geocode data  Use polygon overlay techniques or spatial query to examine correspondence of geographic identifiers (geocodes)  Overlay GIS county boundary file to assign correct county to patient records, then compare.

22. North Carolina Toxic Release Inventory Sites Sites (represented by pink dots) that lie outside North Carolina have incorrect latitude/longitude coordinates. Over 1300 sites in NC, more than 100 located outside of state. Greenland sites: reversed lat/longs

23. Quality Control of Geographic Identifiers  North Carolina state agency health database example  265,492 records  Only 158,552 (59.72%) with zip code, county and city correspondence  County of patient vs. county of health department  Duplication of county/city names: Henderson County in western North Carolina; town of Henderson in north-central North Carolina  Duplicate place names: 9 Bethel, 9 Five Points, 9 New Hope  Different coding schemes (use Federal Information Processing Standard (FIPS) whenever possible