Discovering and mapping your community needs - HealthLandscape Presented at the 2013 Community Connections Pre-Application Workshops for The HealthPath Foundation of Ohio

1. Discovering and Mapping
Your Community Needs
Mark A. Carrozza, MA
Health Foundation of Greater Cincinnati
Jené Grandmont, MA
HealthLandscape

2. Outline
 Who are we and what do we care about?
 How can data help us?
 What are different types of data?
 Examples
 Demographics
 American Community Survey
 Census Bureau
 Health
 ChildStats.gov
 Ohio Chartbook
 National Survey of Children‟s Health

3. Who are We?
What do we care about?
Data Democratization
Reducing the distance between
data producers and data users

4. Outline
 Who are we and what do we care about?
 How can data help us?

5. How Can Data Help Us?
 Family stories give a face and heart to needs.
 Data expands family stories to inform policy debates
and drive change.
“At the end of the day, people change or support
change for emotional reasons. Data helps them then
rationalize their decisions.”

6. Uses of Data
 Identifying/documenting needs
 How many children in your state have what needs?
 How do needs vary across states and why?
 How do needs vary across subgroups of children within
and across states and why?
 How does data support your assumptions or what you re
hearing from the field (providers, families, other
agencies)?
 How is need changing over time?
 What is happening in one‟s own „backyard‟?

7. Uses of Data
Building partnerships
 What partners could use this data: Public Programs,
Health plans, Hospitals, Providers, community groups,
faith based organizations?
 How can you share data to support common efforts,
improve care?

8. Uses of Data
 Educating policymakers
 What are key policy issues for your initiative ?
 What programs or groups need what information?
 What data could help them learn about child health
needs?

9. Uses of Data
 Advocacy
 Are there key pressure points in program budgets or
priorities coming up?
 What methods would be most effective in presenting your
case?
 How could you use data in Fact Sheets, Testimony, the
media, along with family stories?

10. Uses of Data
 Grant writing
 How can you use data to strengthen your proposal?
 Program evaluation
 Are you reaching your target population?
 How effective are your services?

11. Outline
 Who are we and what do we care about?
 How can data help us?
 What are different types of data?

12. Types of Data
 Data about people
 Demographics
 Race, Ethnicity, Age, Gender
 Health needs and health status
 Physical health, conditions, oral health
 Knowledge, attitudes or practices
 Use of services
 Health care, WIC, Headstart

13. Types of Data
 Data about Communities
 Aggregate characteristics of the population
 % low income
 % school success
 Neighborhood assets
 Social connectivity
 Availability of food
 Recreational opportunities
 Child care
 Neighborhood challenges
 Pollution
 Crime

14. Types of Data
 Raw data
 Actual survey responses
 Requires statistical knowledge
 Requires computing resources
 Administrative Records / EMR / HER
 Interactive data
 Websites designed to provide basic summaries of data
 Can interactively query the data.
 Limited in types and extent of askable questions

15.  Evaluation Criteria
 Accuracy
 Authority
 Objectivity
 Currency
 Coverage
Assessing Online Data

16.  Evaluation Criteria – Accuracy
 Is the information reliable and error-free?
 Is there an editor or someone who verifies/checks the
information?
Assessing Online Data

17.  Evaluation Criteria – Authority
 Is there an author? Is the page signed?
 Is the author qualified? An expert?
 Who is the sponsor?
 Is the sponsor of the page reputable? How reputable?
 Is there a link to information about the author or the
sponsor?
 If the page includes neither a signature nor indicates a
sponsor, is there any other way to determine its origin?
Assessing Online Data

18.  Evaluation Criteria – Objectivity
 Does the information show a minimum of bias?
 Is the page designed to sway opinion?
 Is there any advertising on the page?
Assessing Online Data

19.  Evaluation Criteria – Currency
 Is the page dated?
 If so, when was the last update?
 How current are the links?
 Have some links expired or been moved?
Assessing Online Data

20.  Evaluation Criteria – Coverage
 What topics are covered?
 What does this page offer that is not found elsewhere?
 What is its intrinsic value?
 How in-depth is the material?
Assessing Online Data

21.  The Good
 The Bad
 The Ugly

22. The Good
 U.S. Census Bureau
 www.census.gov
 Centers for Disease Control
 www.cdc.gov/brfss
 www.cdc.gov/nchs
 Bureau of Economic Analysis
 www.bea.gov
 Bureau of Labor Statistics
 www.bls.gov
 Federal Bureau of Investigation
 www.fbi.gov

23. The Good
 Hamilton County Public Health
 http://www.hamiltoncountyhealth.org/en/index.html
 OASIS
 www.oasisdataarchive.org
 Community Research Collaborative
 www.crc.uc.edu
 HealthLandscape
 www.HealthLandscape.org
 UDS Mapper
 www.UDSMapper.org

24. The Bad
 Static sites
 Counter-intuitive interfaces
 Ohio Department of Education
 Poorly managed & updated sites
 ALWAYS ASK: WHY has this group made these
data available?

25. The Ugly

26. Outline
 Who are we and what do we care about?
 How can data help us?
 What are different types of data?
 Examples
 Local Data Resources
 National Sources

27. Local Data Sources
 Facts Matter
 http://www.crc.uc.edu/FACTSMATTER/index.htm
 Central Ohio Data Tools
 http://www.communityresearchpartners.org/datatools/
 Northeast Ohio Community and Neighborhood Data
for Organizing
 http://neocando.case.edu/

28. National Source of Local data
 http://www.data.gov/
 http://www.census.gov
 http://nces.ed.gov/
 http://www.cdc.gov/nchs/
 http://healthindicators.gov/
 http://www2.epa.gov/open/data-inventory-and-
activities
 http://www.huduser.org/portal/datasets/pdrdatas.html
 http://www.countyhealthrankings.org/
 http://www.HealthLandscape.org

29. About HealthLandscape
 Need for better decisions in healthcare i.e. data
driven decisions
 Developed by The Health Foundation of Greater
Cincinnati and the Robert Graham Center (American
Academy of Family Physicians
 Public Launch: Dec, 2008
 Updated Version: October, 2011

30. 30
Physician Offices
Streets/Rivers/Land Features
Hospitals / Clinic Networks
Zip Codes/ZCTAs/Counties/Tracts
Spatial Analysis – (i.e.travel times)
Service Demand/Provider Density
GIS Layers (Onion Skins)

31. “If a picture is worth a thousand words…
a map is worth a thousand pictures”
Maps visualize both space and time in a single image
What is GIS?

32. What is GIS?
 Geographic Information Systems
 Enables users to visualize and process data in new
ways
 “a system for input, storage, processing, and
retrieval of spatial data”

33. What is Spatial Data?
 Spatial Data is information about the locations and
shapes of Geographic Features
 Types of Geograpic Features
 Points
 Polygons
 Lines
 Spatial data also includes associated data records

34. How does the Process Work?
1. Collect and compile map layers
2. Build a database
3. Use GIS functionality to provide information for
understanding or solving a problem

35. How do Maps Convey Information?
 Maps use Symbols to convey information
 Symbols are based on the attribute values attached to
each geographic feature
 Points
 Shape
 Color
 Outline
 Polygons
 Fill Color
 Fill Pattern
 Boundaries
 Lines
 Width
 Color

36. Conveying Information - Points

37. Conveying Information - Polygons

38. Putting it All Together

47. Final thoughts or questions?
To reach us:
MCarrozza@HealthFoundation.org
458-6722
JGrandmont@HealthLandscape.org
458-6623