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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, DC




Funded by the Robert Wood Johnson Foundation and Federal and State Agencies
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
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
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
CPS: the good, the bad and the ugly
Good
• 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
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
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
Where should we allocate funds for
community clinics?
         % Uninsured in West Virginia, Age 0-64, ≤200% of poverty
       American Community Survey                              Current Population Survey




Source: 2009 American Community Survey; 2011 Current Population Survey

                                                                                          8
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
What percent of adults will be eligible for
  Medicaid?




Eligibility based only on health insurance unit income at or below 138% of poverty
Source: 2010 American Community Survey
                                                                                     10
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
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
SHADAC’s Data Center




www.shadac.org/datacenter
                            13
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
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
Sign up to receive our
newsletter and updates at
    www.shadac.org

          @shadac

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Pres acs workshop_june14_call

  • 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, DC Funded 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 ugly Good • 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 for community clinics? % Uninsured in West Virginia, Age 0-64, ≤200% of poverty American Community Survey Current Population Survey Source: 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 poverty Source: 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
  • 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 our newsletter and updates at www.shadac.org @shadac