coverage gaps remain. Reasonable assumptions can be made by analyzing uninsured county data (when available) and Medicaid coverage information from the CPS and the ACS. But having access to the administrative data would be more useful for analysis.

FINAL REMARKS

From its inception, CHIP has been very successful at providing access to health insurance for low-income children and families. Uninsured data, both census state-level data and state-produced surveys, have provided valuable information for states to evaluate the program, but they have limits. As CHIP moves forward over the next several years, detailed and more localized data on the uninsured would assist states in locating and addressing the coverage gaps that still exist.

REFERENCES

Blewett, L.A., and Davern, M. (2007). Evaluating federal funding formulas: The State Children’s Health Insurance Program. Journal of Health Policy Politics and Law, 32, 415-455.

Cook, A., Kenney, G., and Lawton, E. (2010). Profile of Virginia’s Uninsured and Trends in Health Insurance Coverage, 2000-2008. Washington, DC: Urban Institute.

Georgetown University Center for Children and Families. (2006). Too close to turn back: Covering America’s children. Analysis based on data from the National Health Interview Survey.

Holahan, J., Cook, A., and Dubay, L. (2007). Characteristics of the Uninsured: Who Is Eligible for Public Coverage and Who Needs Help Affording Coverage? Report from the Kaiser Commission on Medicaid and the Uninsured.

National Academy for State Health Policy. (2008). The CMS August 2007 directive: Implementation issues and implications for State SCHIP programs. State Health Policy Briefing, 2(5).

Park, E., and Broaddus, M. (2006). Fourteen States Face SCHIP Shortfalls This Year Totaling Over $700 Million. Report from the Center on Budget and Policy Priorities.



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