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Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
Pres acs workshop_june14_call
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Pres acs workshop_june14_call

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  • 1. Monitoring Health Access using the American Community Survey Kathleen Thiede Call Workshop on the Benefits (and Burdens) of the American Community Survey June 14, 2012 Washington, DCFunded by the Robert Wood Johnson Foundation and Federal and State Agencies
  • 2. About SHADAC• We help states collect and analyze data to inform state health policy decisions relating to health insurance coverage and access to care• Our goal: To help states bridge the gap between health data and the policy-making process• Based at the University of Minnesota• Funded primarily by the Robert Wood Johnson Foundation 2
  • 3. States’ needs for monitoring coverage• Consistent estimates• Trends over time – Monitor impacts of health reform• Comparisons across states• Subpopulation analysis – Race/ethnicity, poverty, age – Counties/sub-state areas• Access to micro-data 3
  • 4. Key federal survey data sources• General household survey – ACS: American Community Survey• Employment/Income survey – CPS: Current Population Survey (ASEC)• Health surveys – NHIS: National Health Interview Survey – MEPS-HC: Medical Expenditure Panel Survey-Household Component – BRFSS: Behavioral Risk Factor Surveillance System 4
  • 5. CPS: the good, the bad and the uglyGood• Historic trends• State-level estimates• Several control variables available Bad• State-specific public • Low sample in health insurance smaller states program names • 10% of respondents• Timely data release have entire Ugly supplement imputed • Concerns about the coverage questions 5
  • 6. ACS to the rescue• SAMPLE SIZE!!!!!!!!!!!!!!• Sub-state estimates• Robust subpopulation analysis The ACS Sample• Representativeness is almost 15 TIMES GREATER• Current coverage than the CPS Sample measured 6
  • 7. Questions SHADAC helps states answer• How many uninsured are in my state and where do they live? What is their demographic profile?• How many kids in each county are eligible for CHIP or Medicaid but not enrolled?• How many people in my state will be eligible for Medicaid under ACA? 7
  • 8. Where should we allocate funds forcommunity clinics? % Uninsured in West Virginia, Age 0-64, ≤200% of poverty American Community Survey Current Population SurveySource: 2009 American Community Survey; 2011 Current Population Survey 8
  • 9. How many uninsured kids in Colorado are eligible for CHIP but not enrolled?Source: Colorado Health Institute Analysis of 2008-2010 American Community Surveys 9
  • 10. What percent of adults will be eligible for Medicaid?Eligibility based only on health insurance unit income at or below 138% of povertySource: 2010 American Community Survey 10
  • 11. Unmet needs with American FactFinder• Does not provide all health policy-relevant measures – Health insurance unit rather than Census family – Federal poverty guidelines (HHS) rather than thresholds – FPG cuts at policy-specific levels (138%, 200%)• Not user-friendly 11
  • 12. SHADAC’s technical assistance for states• SHADAC’s Data Center – Online table and chart generator of policy-relevant tables of health insurance coverage estimates from the ACS and CPS• Education and capacity building for states• Relevant to health policy – For example, assign family relationships according to health plan eligibility 12
  • 13. SHADAC’s Data Centerwww.shadac.org/datacenter 13
  • 14. Conclusions• Due to large and representative sample the ACS fills a gap in state-level data to inform policy decisions – Statewide and locally – Subpopulations; small minority, age or income groups• The ACS is widely accessible – Don’t need to be a data programmer• The ACS is a great tool for modeling/linking with other data to develop state-level estimates• Benchmarking and sub-population analysis will be compromised if ACS becomes voluntary 14
  • 15. Wish list for future versions of the ACS• Data updates during the year – e.g., NHIS midyear reporting• Self reported health status• Access measure 15
  • 16. Sign up to receive ournewsletter and updates at www.shadac.org @shadac

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