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Planning for Expansion
  Populations – Demographic
  Data Sources
 Lynn A. Blewett, Ph.D.
 Professor, Division of Health Policy and
 Management, University of Minnesota School of
 Public Health

 Director, State Health Access Data Assistance
 Center

 April 17, 2012



Funded by a grant from the Robert Wood Johnson Foundation
Overview

• Who is newly eligible
  under the ACA
• Characteristics of those
  eligible
• Variation across states
• Sources of federal data
• Microsimulation Models
• Other resources

 Thanks to Brett Fried at SHADAC for ACA Analysis!

                                                     2
55-64
                                  Reinsurance
                           Dependent                                            Exchange
                             Care                                               Indv
                Small
                           Coverage                                              Mandate
              Employer
                                                                                <138%
              Tax Credit
                                                                                 Medicaid
     High Risk
                                                                                139-400%
         Pool
                                                                                 subsidies
 Early                                                                          139-200%
Medicaid                                                                         Basic Health
                         Bridge to                                               Plan
                                                                                 (optional)
                         Reform:                                                No pre-
                                                                                 existing
  2010                                                                 2014
                        Expanding                                                condition
                                                                                 exclusions
                                                                                No rating on
                        Coverage                                                 gender or
                                                                                 health
                                                                                No annual
                                                                                 limits
                    Funded by a grant from the Robert Wood Johnson Foundation
Coverage Expansion Categories

          Medicaid                                    Premium Subsidy
       Expansion 138 %                                   139-400%
                Potential Health Benefit Plan 138-200%                                               Medicaid
                                                                                                     Subsidy
                $31,089               $46,100                           $92,200
                                                                        Family of
                Family                Family                            Four
                Of Four               Of Four


  0               100              200               300              400              500
                   2012 Federal Poverty Guideline for a family of four = $23,050*
*Refers to the 48 contiguous states and the District of Columbia. The poverty guideline for Alaska
is $28,820 for a family of four, and for Hawaii the guideline is $26,510.

                                                                                                           4
New Medicaid Expansion Income
Eligibility
• Eligibility based on income only, no asset test or
  categorical requirements (e.g., pregnant, parent
  or disabled)
• Income based on Modified Adjusted Gross
  Income (MAGI) (excluding SSI, LTC, ….)
• Includes income adjustment of 5 percentage
  points
                 133% of FPL becomes an
                  effective level of 138%


                                                       5
Exemptions to the Individual Mandate
• Financial hardship
• Religious objections
• American Indians and Alaska Natives
• Incarcerated individuals
• Those for whom the lowest cost plan option
  exceeds 8% of income, and
• Those whose income is below the tax filing
  threshold
      And the Undocumented


                                               6
Variation Across States
                  Percent of nonelderly adults eligible* for the 2014 Medicaid expansion




• Eligibility based only on health insurance unit income at or below 138% of poverty.
Source: American Community Survey (ACS), 2010
                                                                                           7
Federal Poverty Guidelines
• Federal Poverty Guidelines - Used
  as eligibility criteria for a number of
  federal and state programs.
• 2012 Poverty Guidelines for
  contiguous 48 states
   –   $11,170 (1 person in family)
   –   $15,130 (2 persons in family)
   –   $19,090 (3 persons in family)
   –   $23,050 (4 persons in family)
   –   ……..
• Health Insurance Unit – Used this
  instead of “family size”


                                            8
The Health Insurance Unit
• Definitions
   – The Health Insurance Unit (HIU) consists of individuals grouped
     together because of likely eligibility for private or public coverage
   – Family unit consists of related members of a household
   – Household unit consists of individuals residing within a household
• Advantages of HIU
   – Closer to tax unit used for calculating Medicaid expansion eligibility
   – Closer to eligibility standards used by states
   – Easily modifiable code that can be tailored to each state
• Disadvantage of HIU
   – Family and household level measures are more familiar to policy
     makers and analysts


                                                                              9
Does it Matter?
Percent increase in the number of nonelderly adults who are eligible for the Medicaid
expansion using the health insurance unit as compared to the family unit, ACS 2010




                                                                                        10
What Are The Demographic Characteristics Of
  Individuals Eligible* For The Medicaid Expansion?
                                                          All non-elderly adults   All low-income non-elderly
                                                                                              adults
      Total                                                      187.5 Million             53.8 Million
      Female                                                        50.9%                    53.4%
      Age
              19 to 25                                              16.0%                    34.3%
              26 to 34                                              19.1%                    20.3%
              35 to 44                                              21.7%                    17.3%
              45 to 54                                              23.7%                    15.7%
              55 to 64                                              19.4%                    12.3%
      Race/Ethnicity
              Hispanic                                              15.6%                    23.3%
              White non-Hispanic                                    64.7%                    50.6%
              Black Alone non-Hispanic                              12.0%                    17.8%
              Asian Alone non-Hispanic                               5.2%                    4.9%
              Multiple/other non-
              Hispanic                                               2.5%                    3.3%
Source: American Community Survey, 2010
*0-138% of Federal Poverty Guidelines using Health Insurance Unit income

                                                                                                                11
What are the Socioeconomic Characteristics Of
Individuals Eligible For The Medicaid Expansion?
                                          All non-elderly adults   All low-income nonelderly
                                                                             adults
Work Status

       Not Working                               22.1%                      45.2%
       Part-time                                 17.3%                      28.7%
       Full-time                                 60.6%                      26.1%
Educational Attainment

       <High School                              12.2%                      23.9%
       High School                               27.1%                      32.6%
       Some College                              33.1%                      33.3%
       College of More                           27.6%                      10.2%

Source: American Community Survey, 2010
*0-138% of FPG using HIU income




                                                                                               12
Enrollment in the Medicaid Expansion
will Vary By State
The following are differences across states that will
affect enrollment:

•   Current Medicaid enrollment and eligibility
•   Current Levels of Private Coverage
•   Levels of outreach and enrollment activities
•   Attitudes toward government programs



                                                        13
Variation Across States
       Percent increase in the number of non-elderly enrolled in Medicaid as a
                          result of the Medicaid expansion




Source: Buettgens, M., J. Holahan & C. Carroll. Health Reform Across the States: Increased Insurance Coverage and Federal
Spending on the Exchanges and Medicaid. Robert Wood Johnson Foundation. March 2011.
http://www.rwjf.org/pr/product.jsp?id=71952


                                                                                                                            14
Key Federal Surveys

• General household survey
  – ACS: American Community Survey
• Employment/Income surveys
  – CPS: Current Population Survey
  – SIPP: Survey of Income and Program Participation
• Health surveys
  – NHIS: National Health Interview Survey
  – MEPS-HC: Medical Expenditure Panel Survey-
    Household Component
  – BRFSS: Behavioral Risk Factor Surveillance System

                                                        15
Feasibility of State-Level Estimates
from Federal Surveys
                                   ACS    SIPP   CPS   NHIS   MEPS   BRFSS
                                                               HC

State-level estimates possible?
 All states                                     *                   
 Some states                              ~20          ~20    ~35

State identifiers available on
                                                                   
public use files?
Sample size by state
 High                              353K   9K     20K   13K     5K     20K

 Median                            44K    1K     3K    1K     400     7K

 Low                               6K     160    2K    110    <100    2K

* Two-year averages recommended.

                                                                             16
SHADAC Data Center
• Online table and chart generator
   – Policy-relevant tables of health insurance
     coverage estimates.
   – Easy to access; Easy to use.
• Estimates and trends available from three
  sources:
   – Current Population Survey (CPS), enhanced by
     SHADAC to account for historical changes in
     methodology.
   – CPS, without SHADAC enhancements.
   – American Community Survey (ACS)
                                                    17
Available Estimates
• Health insurance coverage
  – Uninsured, Insured (private, government, and military)
  – Count, percent, standard error

• Table options
  –   Race/ethnicity
  –   Age
  –   Poverty
  –   Household income
  –   Sex
  –   Marital status (individual and family)
  –   Children in household
  –   Work status (individual and family)
  –   Education (individual and family)
  –   Health status (CPS only)
  –   Citizenship (ACS only)


                                                             18
Getting to the Data Center
    Go to
www.shadac.org



  Click on
“Data Center”




                               19
Example – American Community Survey
    Health Insurance Coverage Estimates for Adults (18-64 Years), <= 138%
                                   FPG
100%


80%

                                                                     20%
60%                               28%                                        Public
              30%                                    35%                     Coverage
40%                                                                          Uninsured
                                                                     55%
20%           41%                 44%
                                                     35%

 0%
        United States         California             Ohio            Texas
Source: 2010 American Community Survey from the SHADAC Data Center

                                                                                         20
Example - CPS-Enhanced
               Percent Uninsured among Adults (18-64 Years), <=138% FPG
     60%


     50%


     40%                                                                              United States
                                                                                      California
                                                                                      Ohio
     30%                                                                              Texas


     20%
                1997 -     1999 -    2001 -     2003 -     2005 -   2007 -   2009 -
                 1998       2000      2002       2004       2006     2008     2010


Source: Current Population Survey Annual Social and Economic
Supplement, 1998-2011 from the SHADAC Data Center
                                                                                                      21
Example – CPS
           Characteristics of Uninsured Adults (18-64 Years), <=138% FPG
                                 United States          California               Ohio                Texas

                                   %     Count          %     Count         %         Count     %       Count

Sex
  Male                           45.5    10,879       50.4     1,709        43          367   60.2       1,281
  Female                         36.7     9,775       40.2     1,432      30.8          307    55        1,336
Education
  < High school                  48.8     6,208       54.1     1,224      40.7          158   66.3       1,064
  High school                    45.4     7,877       48.7       926      42.4          304   60.1           886
  Some college                   31.8     4,991       33.7       703        29          174    46            536
  College or more                32.7     1,577       40.5       289      26.6           37    41            131
Health Status
  Good/Very
  Good/Excellent                 43.2    17,440       47.5     2,716      38.9          551   60.1       2,171
   Fair/Poor                     31.6     3,214       34.4       425      28.4          123   47.3           446
Total                               40.9     20,653       45.2      3,141   36.4        674   57.4       2,617
 Counts are in thousands; data reflect averages for calendar years 208-2010
 Source: Current Population Survey Annual Social and Economic Supplement, 2009-2011
 from the SHADAC Data Center

                                                                                                                   22
Microsimulation Models
• Tool for estimating potential behavioral and
  economic effects of public policies – uses
  Demographic data as key input

• ACA Simulation Models
  -Congressional Budget Office
  -GMSIM (Dr. Gruber, MIT)
  -COMPARE (RAND)
  -HIPSM (Urban Institute
  -HBSM (Lewin Group)
                                                 23
Uses of Microsimulation Models

• Can produce multiple types of
  projections:
   – Coverage (by type of
     coverage, transitions in
     type of coverage over time)
   – Costs (Individual,
     employer, government)
• Projections can help
  businesses and governments
  plan for full ACA
  implementation
                                   24
How are Policies Simulated?
         Establish baseline scenario to
          reflect „status quo‟ regarding
            premiums and coverage
                    distribution.

       Model the behavioral responses
       of individuals and employers to a
       policy change(s) to arrive at new
                    scenario.

  Using coverage status information from new
     scenario, update premiums and other
 information to estimate output for subsequent
                     years.
26
Concluding Thoughts

• Lots of information and data are publically
  available
• Estimating behavior both for individuals
  and employers is not a science – lots of
  assumptions
• Other resources for estimating health
  status of newly eligible by state
  – BRFSS, CPS (health status only), IHIS for
    some states
                                                27
Resources

• SHADAC Data Center
• http://www.shadac.org/datacenter

• SHADAC Policy Brief, Predicting the Effects of the Affordable Care
  Act: A Comparative Analysis of Health Policy Microsimulation
  Models
• http://bit.ly/shadac12

• Sign up for SHADAC newsletter
• http://www.shadac.org/content/stay-updated

• State Health Access Data Assistance Center. 2012. “Defining
  “Family” for Studies of Health Insurance Coverage.” Issue Brief #27.
  Minneapolis, MN: University of Minnesota.
  http://www.shadac.org/publications/defining-family-studies-health-
  insurance-coverage
                                                                         28
Additional Resources

• Buettgens, M., J. Holahan & C. Carroll. “Health Reform Across the
  States: Increased Insurance Coverage and Federal Spending on the
  Exchanges and Medicaid.” Robert Wood Johnson Foundation. March
  2011. http://www.rwjf.org/pr/product.jsp?id=71952

• Congressional Budget Office. “Updated Estimates for the Insurance
  Coverage Provisions of the Affordable Care Act.” March 2012.
  http://www.cbo.gov/sites/default/files/cbofiles/attachments/03-13-
  Coverage%20Estimates.pdf

• Holahan, J., & I. Headen. “Medicaid Coverage and Spending in Health
  Reform: National and State-by State Results for Adults at or Below
  133% FPL.” May 2010. http://www.kff.org/healthreform/8076.cfm



                                                                        29
Contact Information
         Lynn A. Blewett, PhD
             Professor and Director
              blewe001@umn.edu


             Brett Fried, MS
               Research Fellow
               bfried@umn.edu




State Health Access Data Assistance Center
    University of Minnesota, Minneapolis, MN
                 www.shadac.org
Sign up to receive our
newsletter and updates at
    www.shadac.org

          @shada
          c

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Blewett nga spring 2012 final

  • 1. Planning for Expansion Populations – Demographic Data Sources Lynn A. Blewett, Ph.D. Professor, Division of Health Policy and Management, University of Minnesota School of Public Health Director, State Health Access Data Assistance Center April 17, 2012 Funded by a grant from the Robert Wood Johnson Foundation
  • 2. Overview • Who is newly eligible under the ACA • Characteristics of those eligible • Variation across states • Sources of federal data • Microsimulation Models • Other resources Thanks to Brett Fried at SHADAC for ACA Analysis! 2
  • 3. 55-64 Reinsurance Dependent Exchange Care Indv Small Coverage Mandate Employer <138% Tax Credit Medicaid High Risk 139-400% Pool subsidies Early 139-200% Medicaid Basic Health Bridge to Plan (optional) Reform: No pre- existing 2010 2014 Expanding condition exclusions No rating on Coverage gender or health No annual limits Funded by a grant from the Robert Wood Johnson Foundation
  • 4. Coverage Expansion Categories Medicaid Premium Subsidy Expansion 138 % 139-400% Potential Health Benefit Plan 138-200% Medicaid Subsidy $31,089 $46,100 $92,200 Family of Family Family Four Of Four Of Four 0 100 200 300 400 500 2012 Federal Poverty Guideline for a family of four = $23,050* *Refers to the 48 contiguous states and the District of Columbia. The poverty guideline for Alaska is $28,820 for a family of four, and for Hawaii the guideline is $26,510. 4
  • 5. New Medicaid Expansion Income Eligibility • Eligibility based on income only, no asset test or categorical requirements (e.g., pregnant, parent or disabled) • Income based on Modified Adjusted Gross Income (MAGI) (excluding SSI, LTC, ….) • Includes income adjustment of 5 percentage points 133% of FPL becomes an effective level of 138% 5
  • 6. Exemptions to the Individual Mandate • Financial hardship • Religious objections • American Indians and Alaska Natives • Incarcerated individuals • Those for whom the lowest cost plan option exceeds 8% of income, and • Those whose income is below the tax filing threshold And the Undocumented 6
  • 7. Variation Across States Percent of nonelderly adults eligible* for the 2014 Medicaid expansion • Eligibility based only on health insurance unit income at or below 138% of poverty. Source: American Community Survey (ACS), 2010 7
  • 8. Federal Poverty Guidelines • Federal Poverty Guidelines - Used as eligibility criteria for a number of federal and state programs. • 2012 Poverty Guidelines for contiguous 48 states – $11,170 (1 person in family) – $15,130 (2 persons in family) – $19,090 (3 persons in family) – $23,050 (4 persons in family) – …….. • Health Insurance Unit – Used this instead of “family size” 8
  • 9. The Health Insurance Unit • Definitions – The Health Insurance Unit (HIU) consists of individuals grouped together because of likely eligibility for private or public coverage – Family unit consists of related members of a household – Household unit consists of individuals residing within a household • Advantages of HIU – Closer to tax unit used for calculating Medicaid expansion eligibility – Closer to eligibility standards used by states – Easily modifiable code that can be tailored to each state • Disadvantage of HIU – Family and household level measures are more familiar to policy makers and analysts 9
  • 10. Does it Matter? Percent increase in the number of nonelderly adults who are eligible for the Medicaid expansion using the health insurance unit as compared to the family unit, ACS 2010 10
  • 11. What Are The Demographic Characteristics Of Individuals Eligible* For The Medicaid Expansion? All non-elderly adults All low-income non-elderly adults Total 187.5 Million 53.8 Million Female 50.9% 53.4% Age 19 to 25 16.0% 34.3% 26 to 34 19.1% 20.3% 35 to 44 21.7% 17.3% 45 to 54 23.7% 15.7% 55 to 64 19.4% 12.3% Race/Ethnicity Hispanic 15.6% 23.3% White non-Hispanic 64.7% 50.6% Black Alone non-Hispanic 12.0% 17.8% Asian Alone non-Hispanic 5.2% 4.9% Multiple/other non- Hispanic 2.5% 3.3% Source: American Community Survey, 2010 *0-138% of Federal Poverty Guidelines using Health Insurance Unit income 11
  • 12. What are the Socioeconomic Characteristics Of Individuals Eligible For The Medicaid Expansion? All non-elderly adults All low-income nonelderly adults Work Status Not Working 22.1% 45.2% Part-time 17.3% 28.7% Full-time 60.6% 26.1% Educational Attainment <High School 12.2% 23.9% High School 27.1% 32.6% Some College 33.1% 33.3% College of More 27.6% 10.2% Source: American Community Survey, 2010 *0-138% of FPG using HIU income 12
  • 13. Enrollment in the Medicaid Expansion will Vary By State The following are differences across states that will affect enrollment: • Current Medicaid enrollment and eligibility • Current Levels of Private Coverage • Levels of outreach and enrollment activities • Attitudes toward government programs 13
  • 14. Variation Across States Percent increase in the number of non-elderly enrolled in Medicaid as a result of the Medicaid expansion Source: Buettgens, M., J. Holahan & C. Carroll. Health Reform Across the States: Increased Insurance Coverage and Federal Spending on the Exchanges and Medicaid. Robert Wood Johnson Foundation. March 2011. http://www.rwjf.org/pr/product.jsp?id=71952 14
  • 15. Key Federal Surveys • General household survey – ACS: American Community Survey • Employment/Income surveys – CPS: Current Population Survey – SIPP: Survey of Income and Program Participation • Health surveys – NHIS: National Health Interview Survey – MEPS-HC: Medical Expenditure Panel Survey- Household Component – BRFSS: Behavioral Risk Factor Surveillance System 15
  • 16. Feasibility of State-Level Estimates from Federal Surveys ACS SIPP CPS NHIS MEPS BRFSS HC State-level estimates possible? All states  *  Some states ~20 ~20 ~35 State identifiers available on     public use files? Sample size by state High 353K 9K 20K 13K 5K 20K Median 44K 1K 3K 1K 400 7K Low 6K 160 2K 110 <100 2K * Two-year averages recommended. 16
  • 17. SHADAC Data Center • Online table and chart generator – Policy-relevant tables of health insurance coverage estimates. – Easy to access; Easy to use. • Estimates and trends available from three sources: – Current Population Survey (CPS), enhanced by SHADAC to account for historical changes in methodology. – CPS, without SHADAC enhancements. – American Community Survey (ACS) 17
  • 18. Available Estimates • Health insurance coverage – Uninsured, Insured (private, government, and military) – Count, percent, standard error • Table options – Race/ethnicity – Age – Poverty – Household income – Sex – Marital status (individual and family) – Children in household – Work status (individual and family) – Education (individual and family) – Health status (CPS only) – Citizenship (ACS only) 18
  • 19. Getting to the Data Center Go to www.shadac.org Click on “Data Center” 19
  • 20. Example – American Community Survey Health Insurance Coverage Estimates for Adults (18-64 Years), <= 138% FPG 100% 80% 20% 60% 28% Public 30% 35% Coverage 40% Uninsured 55% 20% 41% 44% 35% 0% United States California Ohio Texas Source: 2010 American Community Survey from the SHADAC Data Center 20
  • 21. Example - CPS-Enhanced Percent Uninsured among Adults (18-64 Years), <=138% FPG 60% 50% 40% United States California Ohio 30% Texas 20% 1997 - 1999 - 2001 - 2003 - 2005 - 2007 - 2009 - 1998 2000 2002 2004 2006 2008 2010 Source: Current Population Survey Annual Social and Economic Supplement, 1998-2011 from the SHADAC Data Center 21
  • 22. Example – CPS Characteristics of Uninsured Adults (18-64 Years), <=138% FPG United States California Ohio Texas % Count % Count % Count % Count Sex Male 45.5 10,879 50.4 1,709 43 367 60.2 1,281 Female 36.7 9,775 40.2 1,432 30.8 307 55 1,336 Education < High school 48.8 6,208 54.1 1,224 40.7 158 66.3 1,064 High school 45.4 7,877 48.7 926 42.4 304 60.1 886 Some college 31.8 4,991 33.7 703 29 174 46 536 College or more 32.7 1,577 40.5 289 26.6 37 41 131 Health Status Good/Very Good/Excellent 43.2 17,440 47.5 2,716 38.9 551 60.1 2,171 Fair/Poor 31.6 3,214 34.4 425 28.4 123 47.3 446 Total 40.9 20,653 45.2 3,141 36.4 674 57.4 2,617 Counts are in thousands; data reflect averages for calendar years 208-2010 Source: Current Population Survey Annual Social and Economic Supplement, 2009-2011 from the SHADAC Data Center 22
  • 23. Microsimulation Models • Tool for estimating potential behavioral and economic effects of public policies – uses Demographic data as key input • ACA Simulation Models -Congressional Budget Office -GMSIM (Dr. Gruber, MIT) -COMPARE (RAND) -HIPSM (Urban Institute -HBSM (Lewin Group) 23
  • 24. Uses of Microsimulation Models • Can produce multiple types of projections: – Coverage (by type of coverage, transitions in type of coverage over time) – Costs (Individual, employer, government) • Projections can help businesses and governments plan for full ACA implementation 24
  • 25. How are Policies Simulated? Establish baseline scenario to reflect „status quo‟ regarding premiums and coverage distribution. Model the behavioral responses of individuals and employers to a policy change(s) to arrive at new scenario. Using coverage status information from new scenario, update premiums and other information to estimate output for subsequent years.
  • 26. 26
  • 27. Concluding Thoughts • Lots of information and data are publically available • Estimating behavior both for individuals and employers is not a science – lots of assumptions • Other resources for estimating health status of newly eligible by state – BRFSS, CPS (health status only), IHIS for some states 27
  • 28. Resources • SHADAC Data Center • http://www.shadac.org/datacenter • SHADAC Policy Brief, Predicting the Effects of the Affordable Care Act: A Comparative Analysis of Health Policy Microsimulation Models • http://bit.ly/shadac12 • Sign up for SHADAC newsletter • http://www.shadac.org/content/stay-updated • State Health Access Data Assistance Center. 2012. “Defining “Family” for Studies of Health Insurance Coverage.” Issue Brief #27. Minneapolis, MN: University of Minnesota. http://www.shadac.org/publications/defining-family-studies-health- insurance-coverage 28
  • 29. Additional Resources • Buettgens, M., J. Holahan & C. Carroll. “Health Reform Across the States: Increased Insurance Coverage and Federal Spending on the Exchanges and Medicaid.” Robert Wood Johnson Foundation. March 2011. http://www.rwjf.org/pr/product.jsp?id=71952 • Congressional Budget Office. “Updated Estimates for the Insurance Coverage Provisions of the Affordable Care Act.” March 2012. http://www.cbo.gov/sites/default/files/cbofiles/attachments/03-13- Coverage%20Estimates.pdf • Holahan, J., & I. Headen. “Medicaid Coverage and Spending in Health Reform: National and State-by State Results for Adults at or Below 133% FPL.” May 2010. http://www.kff.org/healthreform/8076.cfm 29
  • 30. Contact Information Lynn A. Blewett, PhD Professor and Director blewe001@umn.edu Brett Fried, MS Research Fellow bfried@umn.edu State Health Access Data Assistance Center University of Minnesota, Minneapolis, MN www.shadac.org
  • 31. Sign up to receive our newsletter and updates at www.shadac.org @shada c

Hinweis der Redaktion

  1. Because ACA passed it because a bridge