title: Estimating the prevalence of uninsured children: an evaluation of data from the National Survey of Children with Special Health Care Needs, 2001. Data evaluation and methods research.
abstract: The National Survey of Children with Special Health Care Needs revealed that 8.3% of children under 18 years of age were uninsured, a rate lower than the rate estimated by other national surveys. This report presents the results of an evaluation of the quality of this estimate, based on analyses of non-response, question design, interviewer and respondent effects, and the weighing and estimation process. National and State-level statistics on health insurance coverage for children with special health care needs (CSHCN) and for children without special needs are included in an appendix.
  
  
  METHODS
  The National Survey of CSHCN is a survey module of the State and Local Area Integrated Telephone Survey. This survey of parents and guardians collected health insurance coverage information for a national sample of 215, 162 children. Data were collected from October 2000 through April 2002.
  
  
  RESULTS
  Compared with other surveys, weighted data from the National Survey of CSHCN describe a population with a slightly larger proportion of Hispanic children and children from households with higher incomes. The National Survey of CSHCN was also the only survey to use a child-level design: A randomized experiment that varied the health insurance questions found that repeating the coverage questions for each child produced lower unisurance rates than household-level questions that first asked if anyone in the househol was insured.
  
  
  CONCLUSIONS
  Question design differences explain much of the discrepancy between survey estimates of the uninsurance rate, but a definitive conclusion regarding the relative accuracy of the uninsurance rates is not possible.
authors.affiliation: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, Maryland, USA.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Blumberg
authors.forename: Larry
authors.initials: L
authors.lastname: Osborn
authors.forename: Julian V
authors.initials: JV
authors.lastname: Luke
authors.forename: Lorayn
authors.initials: L
authors.lastname: Olson
authors.forename: Martin R
authors.initials: MR
authors.lastname: Frankel
mesh_terms: D000293:Adolescent; D015982:Bias; D002648:Child; D002675:Child, Preschool; D019988:Children with Disabilities / Q000706:statistics & numerical data*; D005006:Ethnicity; D005260:Female; D019538:Health Care Surveys; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007348:Insurance, Health / Q000706:statistics & numerical data*; D007407:Interviews as Topic; D016015:Logistic Models; D008297:Male; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D015995:Prevalence; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D014798:Vital Statistics