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State-Level Estimates for Tracking Health Reform Impact: Opportunities and Challenges Julie Sonier SHADAC SCI Annual Meeting August 4, 2010
Overview of Presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
State data needs – a few examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Newly Covered Populations Under Health Reform ,[object Object],[object Object],[object Object],[object Object],[object Object]
Newly Covered Populations: What Do We Know? ,[object Object],[object Object],[object Object],[object Object],[object Object]
CBO estimate of national impact, 2019 Source:  U.S. Congressional Budget Office,  cost estimate for the amendment in the nature of a substitute for H.R. 4872, March 20, 2010
CMS Office of the Actuary estimate of national impact, 2019 Source:  CMS Office of the Actuary, “Estimated Financial Effects of the ‘Patient Protection and Affordable Care Act,’ as Amended,” April 22, 2010
State-Level Estimates: Kaiser Commission Source: Kaiser Commission on Medicaid and the Uninsured, “Medicaid Coverage and Spending in Health Reform: National and State-by-State Results for Adults at or below 133% FPL,” May 2010, prepared by John Holahan and Irene Headen (Urban Institute) 2019 estimates for a range of participation assumptions: Medicaid Enrollment of Newly Eligible Adults Below 133% FPL Percent Reduction in Uninsurance for Adults Below 133% FPL % Difference in Enrollment from Baseline Projection for Adults Below 133% FPL U.S. 11.2 to 17.5 million 44.5% to 69.5% 27.4%  to 39.3% KY (high impact) 251,000 to 338,000  57.1% to 77.0% 37.3% to 48.1% MA (low impact) 10,000 to 44,000 10.2% to 42.9% 2.0% to 5.2%
What We Know: Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Newly Covered Populations: Need for State Estimates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Approaches to Creating State-Specific Estimates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Key Variables in Modeling Coverage Expansions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data Source:  Household Surveys
Sources of State-Level Data: Health Insurance Coverage ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Federal Survey Data – State Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
State Survey Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Uncertainty of Estimates ,[object Object],[object Object],[object Object],[object Object]
State Example: Colorado  ,[object Object],[object Object],[object Object],[object Object],Colorado Health Institute, “Health Insurance Coverage Among Low-Income Adults in Colorado,” April 2010
State Example: Michigan ,[object Object],[object Object],[object Object],Source: Center for Healthcare Research and Transformation, “Impact of Health Reform on Coverage in Michigan,” June 2010
Beyond coverage estimates: states need to track more than just health insurance status ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
State Data Needs: Priority Areas Source: SHADAC State Health Policy Data Survey, July 2010 (preliminary results)
State Data Needs: Barriers Source: SHADAC State Health Policy Data Survey, July 2010 (preliminary results)
Opportunities and Challenges for States ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contact Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©2002-2009 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an Equal Opportunity Employer

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State-Level Estimates for Tracking Health Reform Impact: Opportunities and Challenges

  • 1. State-Level Estimates for Tracking Health Reform Impact: Opportunities and Challenges Julie Sonier SHADAC SCI Annual Meeting August 4, 2010
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  • 6. CBO estimate of national impact, 2019 Source: U.S. Congressional Budget Office, cost estimate for the amendment in the nature of a substitute for H.R. 4872, March 20, 2010
  • 7. CMS Office of the Actuary estimate of national impact, 2019 Source: CMS Office of the Actuary, “Estimated Financial Effects of the ‘Patient Protection and Affordable Care Act,’ as Amended,” April 22, 2010
  • 8. State-Level Estimates: Kaiser Commission Source: Kaiser Commission on Medicaid and the Uninsured, “Medicaid Coverage and Spending in Health Reform: National and State-by-State Results for Adults at or below 133% FPL,” May 2010, prepared by John Holahan and Irene Headen (Urban Institute) 2019 estimates for a range of participation assumptions: Medicaid Enrollment of Newly Eligible Adults Below 133% FPL Percent Reduction in Uninsurance for Adults Below 133% FPL % Difference in Enrollment from Baseline Projection for Adults Below 133% FPL U.S. 11.2 to 17.5 million 44.5% to 69.5% 27.4% to 39.3% KY (high impact) 251,000 to 338,000 57.1% to 77.0% 37.3% to 48.1% MA (low impact) 10,000 to 44,000 10.2% to 42.9% 2.0% to 5.2%
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  • 20. State Data Needs: Priority Areas Source: SHADAC State Health Policy Data Survey, July 2010 (preliminary results)
  • 21. State Data Needs: Barriers Source: SHADAC State Health Policy Data Survey, July 2010 (preliminary results)
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