Designing a Health Equity Mapping Initiative From Start to Finish

1. February 11th 2013 Designing a Health Equity Mapping Initiative From Start to Finish Jason Reece, Director of Research Guest Speaker: Chip Allen, Director of Health Equity, ODH Kirwan Institute for the Study of Race & Ethnicity The Ohio State University • “There’s a Map for That” - Health Equity Webinar Series • Session 2 – February 11th 2013 • In collaboration with the Michigan Minority Health Coalition

2. Factors Impacting Health: Where does Place Fit? Place

3. Where to Start? • From last session • C.O.L.A. (Collect, Organize, Learn, Act • Going deeper on this framework • Data Collection • Data Organization/Learning

4. Data Collection: Where to Start? • Two primary sources of GIS data • Secondary (Census and other easily available data sets) • Original • Original data based on new sources • Could be quantitative (making a database from the department of health spatial) • Could be participatory and/or qualitative (working with community members to identify needs or assets

5. Developing Your Own Analysis www.communitycommons.org

6. Other Easily Accessible Secondary Data Sources • American Community Survey • http://factfinder2.census.gov/faces/nav/jsf/pages/index.xhtml • Social explorer (current census based data and extensive historical data) (caution part of this site requires registration) • http://www.socialexplorer.com/pub/home/home.aspx • PolicyMap: http://www.policymap.com/maps • Other specialized health related data sets • Food deserts: http://www.ers.usda.gov/data-products/food-desert-locator/go-to-the-locator.aspx • County Health Rankings: http://www.countyhealthrankings.org/ • Medically underserved areas & other HHS data: http://datawarehouse.hrsa.gov/DWOnlineMap/MainInterface.aspx • Also consider local data experts • For example: Data Driven Detroit - http://datadrivendetroit.org/

7. Interactive Infant Mortality Prevention Site:Beta Version for Central OH

8. Participatory Maps: Data derived through participatory data processes • Can represent cognitive maps or real world phenomena • Originally utilized extensively in areas with limited data resources • Utility have expanded their use to many different applications • Safe streets and/or crime perception • Blight and/or physical amenities

9. Participatory Maps: Data derived through participatory data processes • Participatory mapping exercises can also branch off of “hard data” maps • For example: using park access data to engage in dialogue with the community around quality of recreational space in Merced, CA

10. Frameworks for Data Organization & Learning • How to analyze and assess data? • Issue based analysis • How much park space is available to kids • More exploratory analysis • What are the community’s assets • What are the health challenges in the community? • Frameworks • Asset Mapping • SWOT Analysis • Opportunity Analysis

11. Asset Mapping • Process to identify and catalogue assets and resources in a community • Deliberate push away from deficit based thinking • Central question is: What are our assets to build upon? • Can include “hard data” and also qualitative or participatory data • Good asset maps include all of these elements • What are assets? • Community and our cultural resources • Areas of investment or improvement • Elements of civic capacity • Critical community features which are points of pride or essential (could range from a health care clinic, to a park to a historical resource) • Some community design in identifying assets • Using Google Map to do asset mapping: • https://maps.google.com/maps/ms?ie=UTF8&t=h&source=embed&oe=UTF8&msa=0&msid=107270808012752246333.00048a19ae3d9c09c06de • Great introductory resources • http://www.dhs.wisconsin.gov/health/physicalactivity/Sites/Community/CoalitionCapacity/AssetMapping.pdf • http://www.planningtoolexchange.org/sites/default/files/sources/asset_mapping_handbook.pdf

12. Asset Mapping

13. Asset Mapping

14. SWOT Analysis

15. SWOT Analysis • Origin in business strategic planning • Can be applied to communities and neighborhoods as a community planning and assessment tool • Two step process • Identifying issues (participatory basis) • Visualizing and mapping items and elements http://ctb.ku.edu/en/tablecontents/sub_section_main_1049.aspx

16. Example of an Opportunity Map: Detroit MI (2007) (Dark Areas = Most Opportunity Rich Communities) (Light Areas = Most Opportunity Deprived Areas) (Green Dots = African American Men & Boys Opportunity MappingBuilding composite maps of multiple indicators of opportunity for a community. * Visualizing & Understanding the system of disadvantage & advantage in a community. * Engaging the community around this process to understand intervention points and levers for change.

17. Opportunity MappingBuilding composite maps of multiple indicators of opportunity for a community. * Visualizing & Understanding the system of disadvantage & advantage in a community. * Engaging the community around this process to understand intervention points and levers for change. Example of an Opportunity Map: Detroit MI (2007) (Dark Areas = Most Opportunity Rich Communities) (Light Areas = Most Opportunity Deprived Areas) (Green Dots = African American Men & Boys

18. What’s Next (In Session 3) • Session 3: Building Capacity & Implementation: Developing Partnerships and Building Technical Support to Support Mapping Initiatives, Moving from Maps to Action (March 2013)