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[1]  This study was not unanimously received as good news at the time, but we believe it demonstrates that states are far more successful than given credit.  Therefore the 95 percent goal is not only achievable, but should be expected and demanded.  Indeed, our view is that a number of states are already meeting the 95 percent goal.

We strongly believe, as the future of SCHIP as a program is considered, that states be required to put poor children first before they expand to higher income levels.  The federal government has tied financial incentives to performance standards in other public benefits programs with good results.

I want to reaffirm our previously stated position that children currently enrolled in SCHIP should not be affected as we work with states to implement the August 17, 2007 State Health Official (SHO) letter.  The guidance sets out procedures and assurances that should be in place when states enroll new applicants with family incomes in excess of 250 percent of the federal poverty level (FPL) – that is, in excess of the median family income in the United States.  But the guidance is not intended to affect enrollment, procedures, or other terms for such individuals currently enrolled in State programs.

“Crowd-Out”

The goal of SCHIP is to increase the rate of insurance among our nation’s children in low-income families.  “Crowd-out” or the substitution of existing coverage does not increase insurance rates, it merely shifts the source of funding.  It is a public policy concern because it increases public expenditures without necessarily improving access to care or health status.  It is also a concern because, as healthy lives are shifted out of the private sector insurance pools, there is a detrimental impact on those who remain.  Insurance fundamentally means the sharing of risk.  When the private pool of healthy insured lives shrinks and the risk cannot be spread as widely as before, the cost will rise for those who remain, triggering another cost increase which is likely to displace yet another group of people, whether employers or employees or both.

Crowd-out is not a new topic.  There were numerous papers written on Medicaid and crowd-out prior to the enactment of SCHIP and it remains a popular subject today.  The pre-SCHIP papers on crowd-out dealt primarily with populations below 200 percent of FPL, many of whom were assumed to not have access to employer-sponsored health insurance or the means to contribute the employee share of costs.  There are a variety of opinions on how to define crowd-out, how to measure it, and how to prevent it.  In its paper on SCHIP last May, the Congressional Budget Office (CBO) neatly summarized the research on this topic and concluded that, “… in general, expanding the program to children in higher-income families is likely to generate more of an offsetting reduction in private coverage (and therefore less of a net reduction in uninsurance) than expanding the program to more children in low-income families.”  The CBO estimates on the SCHIP legislation that the President vetoed reinforce the findings of its May study.

As early as February 1998, the federal government released instructions to the states on how it would review strategies to protect against substitution of private coverage.  In a February 13, 1998 State Health Official letter, co-signed by the Director of the Center for Medicaid and State Operations at the Health Care Financing Administration and the Acting Administrator of the Health Resources and Services Administration, the federal government provided that,  “States that provide insurance coverage through a children’s only and/or a State plan (as opposed to subsidizing employer-sponsored coverage) or expand through Medicaid will be required to describe procedures in their State CHIP plans that reduce the potential for substitution.  … After a reasonable period of time, the Department will review States’ procedures to limit substitution.  If this review shows they have not adequately addressed substitution, the Department may require States to alter their plans.”

Another federal agency within the Department of Health and Human Services, the Agency for Healthcare Research and Quality, listed several strategies to prevent crowd-out at that time which included:[2]

  • Institute waiting periods (3, 6, or 12 months)
  • Limit eligibility to uninsured or under-insured
  • Subsidize employer-based coverage
  • Impose premium contributions for families above 150 percent of the Federal poverty level
  • Set premiums and coverage and levels comparable to employer-sponsored coverage
  • Monitor crowd-out and implement prevention strategies if crowd-out becomes a problem

States faced competing pressures as they designed their SCHIP programs.  Effective crowd-out strategies were measured against pressures to quickly build enrollment.  Decision makers at the state level faced strong public criticism for “turning back” federal funds that would go to other states or be returned to the Federal Treasury.

As the 16 million children were being added to Medicaid and SCHIP, the percent of children between 100 and 200 percent of poverty with private insurance declined.  In 1997 according to data from the 2006 National Health Interview Survey, 55 percent of children in families with income at this level had private insurance.  But by 2006, the percentage had declined to 36 percent. [3]

Eligibility Expansions

Currently there are 20 jurisdictions (19 states and the District of Columbia) that cover children in families with income greater than 200 percent of FPL, of which 17 jurisdictions cover children in families with income equal to or greater than 250 percent FPL.  In addition, there are three states that cover children in families with income thresholds above 200 percent of FPL that apply income disregards in an amount we believe is likely to exceed the 250 percent FPL threshold.  Expansions of SCHIP to higher income levels occurred early in the program or just in the past two years.  Of the 19 states and the District of Columbia that provide coverage above 200 percent of the poverty level, 13 of them received approval to cover those higher incomes by July 2001 or earlier.  Of those 13 states, eight were “qualifying states,” that had increased Medicaid eligibility prior to the creation of SCHIP.

The other seven states that have expanded eligibility above 200 percent FPL occurred in January 2006 or later.  With the exception of Hawaii, the eligibility limits were approved as state plan amendments, not as waivers as has been widely reported.  After a five-year period in which no state raised their eligibility level, there clearly are growing interests or pressures among additional states to expand eligibility beyond the statutory definition.  It is important to understand those interests or pressures in order to design an appropriate response. 

Federal responses may be different than the choices made ten years ago and should include approaches outside of SCHIP as well as within the program.  One area that seems particularly ripe for a new approach within SCHIP is premium assistance.  Perhaps some of the crowd-out effect could have been prevented if SCHIP were used to a greater extent to support private coverage rather than replace it. 

Conclusion

SCHIP has been highly successful in the mission it was given to increase coverage among uninsured low-income children.  But that success does not mean SCHIP can or will be as successful when populations at higher incomes are involved. 

We hope that the lessons of the past will guide how we use the fresh opportunity before us and the Administration looks forward to working with all members to forge reauthorization in the same bipartisan spirit in which SCHIP was created.



[1] “Eligible But Not Enrolled: How SCHIP Reauthorization Can Help,” September 24, 2007 [available at http://www.urban.org/publications/411549.html].

[3]See http://www.cdc.gov/nchs/data/nhis/earlyrelease/insur200712.pdf.  The data are derived from the Family Core component of the 1997–2007 NHIS, which collects information on all family members in each household.  Data analyses for the January – June 2007 NHIS were based on 41,823 persons in the Family Core.

Last revised: January 12,2009