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A CASE STUDY OFTWO HEALTH INSURANCE
MARKETPLACES: LEVERAGING INTERACTIVE
MAPS, ADMINISTRATIVEAND ACS DATATO FIND
THE REMAINING ELIGIBLE
Brett Fried
SHADAC, University of Minnesota
American Community Survey Data Users Group
May 12, 2015
1Funded by a grant from the Robert Wood Johnson Foundation’s State Health Reform Assistance Network.
Acknowledgments
Funding for this work is supported by the Robert
Wood Johnson Foundation State Reform Assistance
Network
• Collaborators:
• Elizabeth Lukanen (SHADAC)
• KarenTurner (SHADAC)
2
Research Questions
Can data be used to improve outreach for health
insurance marketplaces?
What analytic geography is best?
What are some problems with using data from low
level geographies?
Are there strategies to make this data more useful?
3
IS HEALTH INSURANCE MARKETPLACE
ENROLLMENT OVER?
4
Where are we in terms of marketplace enrollment?
• 11.7 million as of Feb. 15
• CBO--22 million
• 42% of potentially eligible (Kaiser)
• Varies from 70% inVT to 20% in Iowa
• People who were easy to enroll have enrolled
5
How can data help?
• Increase the efficiency of targeting
• Evaluate outreach strategies
6
WHAT GEOGRAPHY IS BEST
7
Availability of Survey Data - Geography
8
Nation, States, & DC
Congressional Districts
Counties
School Districts
Public Use Microdata Area (PUMA)
Metro & Micro Statistical
Areas
Zip Code
Tabulation Areas
(ZCTA)
Census
Tracts
Three Census Geographies: Advantages of each
PUMA County ZCTA
Included in PUMS (can create
custom variables from
publically available files)  X X
Data is timely
X (2014 data--
Sept. 2015)
X (2014 data for all
counties--March 2016)
X (2010-2014 data--
Dec. 2015)
Intuitive geography X  
Reliable for full area population   X
Neighborhood level estimates
X (
high density areas) X 
Nests within other geography   X
Data is annual   X
9
Using Administrative Data
Combining data
• Currently enrolled (administrative data)
• Target Population (census data)
• Remaining Eligible (target pop – enrolled)
Map any administrative data that includes an address
(e.g. location of application assistors, hospitals, churches)
10
Example: Illinois Marketplace Enrollment
Target Pop. Enrolled Remaining
Eligible
11
LEVERAGINGTHE POWER OF MAPS
12
Map 1 - Data intensive: Drill down
13
Map 2 - Outreach Intensive: Counties
14
Map 3 -Targeting Intensive: ZCTAs
15
Summary
Choosing the best geography
• Availability, timelines and reliability
• The research question
• Audience for the analysis
Advantage of ZIP Code level data
• Captures variation between neighborhoods
Disadvantages
• Less reliable
• Cannot trend
• Categories and variables are preset by census
• Not timely
16
Summary (2)
Interactive maps and admin data can help
• Interactive maps
• Can include anything that has an address
• Can include multiple geographies
• Can include underlying data
• Can include number and percent
• Can be accessed anywhere the internet is available
• Administrative data
• Timeliness
• Usefulness
17
www.shadac.org
@shadac
Brett Fried
Senior Research Fellow
bfried@umn.edu
612.624.1406
Contact Information
18

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A Case Study of Two Health Insurance Marketplaces: Leveraging Interactive Maps, Administrative, and ACS DAta to Find the Remaining Eligible.

  • 1. A CASE STUDY OFTWO HEALTH INSURANCE MARKETPLACES: LEVERAGING INTERACTIVE MAPS, ADMINISTRATIVEAND ACS DATATO FIND THE REMAINING ELIGIBLE Brett Fried SHADAC, University of Minnesota American Community Survey Data Users Group May 12, 2015 1Funded by a grant from the Robert Wood Johnson Foundation’s State Health Reform Assistance Network.
  • 2. Acknowledgments Funding for this work is supported by the Robert Wood Johnson Foundation State Reform Assistance Network • Collaborators: • Elizabeth Lukanen (SHADAC) • KarenTurner (SHADAC) 2
  • 3. Research Questions Can data be used to improve outreach for health insurance marketplaces? What analytic geography is best? What are some problems with using data from low level geographies? Are there strategies to make this data more useful? 3
  • 4. IS HEALTH INSURANCE MARKETPLACE ENROLLMENT OVER? 4
  • 5. Where are we in terms of marketplace enrollment? • 11.7 million as of Feb. 15 • CBO--22 million • 42% of potentially eligible (Kaiser) • Varies from 70% inVT to 20% in Iowa • People who were easy to enroll have enrolled 5
  • 6. How can data help? • Increase the efficiency of targeting • Evaluate outreach strategies 6
  • 8. Availability of Survey Data - Geography 8 Nation, States, & DC Congressional Districts Counties School Districts Public Use Microdata Area (PUMA) Metro & Micro Statistical Areas Zip Code Tabulation Areas (ZCTA) Census Tracts
  • 9. Three Census Geographies: Advantages of each PUMA County ZCTA Included in PUMS (can create custom variables from publically available files)  X X Data is timely X (2014 data-- Sept. 2015) X (2014 data for all counties--March 2016) X (2010-2014 data-- Dec. 2015) Intuitive geography X   Reliable for full area population   X Neighborhood level estimates X ( high density areas) X  Nests within other geography   X Data is annual   X 9
  • 10. Using Administrative Data Combining data • Currently enrolled (administrative data) • Target Population (census data) • Remaining Eligible (target pop – enrolled) Map any administrative data that includes an address (e.g. location of application assistors, hospitals, churches) 10
  • 11. Example: Illinois Marketplace Enrollment Target Pop. Enrolled Remaining Eligible 11
  • 13. Map 1 - Data intensive: Drill down 13
  • 14. Map 2 - Outreach Intensive: Counties 14
  • 15. Map 3 -Targeting Intensive: ZCTAs 15
  • 16. Summary Choosing the best geography • Availability, timelines and reliability • The research question • Audience for the analysis Advantage of ZIP Code level data • Captures variation between neighborhoods Disadvantages • Less reliable • Cannot trend • Categories and variables are preset by census • Not timely 16
  • 17. Summary (2) Interactive maps and admin data can help • Interactive maps • Can include anything that has an address • Can include multiple geographies • Can include underlying data • Can include number and percent • Can be accessed anywhere the internet is available • Administrative data • Timeliness • Usefulness 17
  • 18. www.shadac.org @shadac Brett Fried Senior Research Fellow bfried@umn.edu 612.624.1406 Contact Information 18