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This report summarizes the proceedings of a workshop convened in June 2010 to critically examine the various databases that could provide national and state-level estimates of low-income uninsured children and could be effectively used as criteria for monitoring children's health insurance coverage.
Contents
- THE NATIONAL ACADEMIES
- STEERING COMMITTEE FOR A WORKSHOP ON EVALUATING DATABASES FOR USE IN THE CHILDREN’S HEALTH INSURANCE PROGRAM (CHIP) ALLOCATION FORMULA
- COMMITTEE ON NATIONAL STATISTICS 2010
- Preface
- Part I. Workshop Summary
- Part II. Background Papers
- 8. Monitoring Children’s Health Insurance Coverage Under CHIPRA Using Federal Surveys
- 9. Health Insurance Coverage in the American Community Survey: A Comparison to Two Other Federal Surveys
- 10. Income and Poverty Measurement in Surveys of Health Insurance Coverage
- 11. Using Uninsured Data to Track State CHIP Programs
- 12. The Massachusetts Experience: Using Survey Data to Evaluate State Health Care Reform
- 13. Small-Domain Estimation of Health Insurance Coverage
- Appendixes
Rapporteur: Thomas J. Plewes.
Suggested citation:
National Research Council. (2010). Databases for Estimating Health Insurance Coverage for Children: A Workshop Summary. Thomas J. Plewes, Rapporteur. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.
NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engineering, and the Institute of Medicine. The members of the Steering Committee for the workshop were chosen for their special competences and with regard for appropriate balance.
This study was supported by Contract No. HHSP23320042509XI between the Office of the Assistant Secretary for Planning and Evaluation, Department of Health and Human Services, and the National Academy of Sciences. Support of the work of the Committee on National Statistics is provided by a consortium of federal agencies through a grant from the National Science Foundation (No. SES-0453930). Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the organizations or agencies that provided support for the project.
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