title: Eligibility under State Children's Health Insurance Programs.
abstract: OBJECTIVE
  This study analyzed associations between income eligibility criteria under the State Children's Health Insurance Program (SCHIP) and state characteristics.
  
  
  METHODS
  We used multivariate methods to explore relations between eligibility expansions under SCHIP and percentages of uninsured children from low-income families, per capita income, and political characteristics.
  
  
  RESULTS
  Proportions of uninsured children, per capita income, and states' preexisting eligibility thresholds were statistically associated with changes in eligibility thresholds, whereas only per capita income was associated with overall SCHIP eligibility thresholds. Political dynamics were not statistically related to SCHIP expansions.
  
  
  CONCLUSIONS
  State demographic characteristics were associated with changes in eligibility from preexisting levels but rarely were associated with SCHIP eligibility thresholds.
authors.affiliation: Sapelo Research Group, Washington, DC, USA. frank_ullman@hotmail.org
authors.forename: F
authors.initials: F
authors.lastname: Ullman
authors.forename: I
authors.initials: I
authors.lastname: Hill
mesh_terms: D002648:Child; D002662:Child Health Services / Q000191:economics* / Q000331:legislation & jurisprudence; D004608:Eligibility Determination / Q000331:legislation & jurisprudence / Q000379:methods* / Q000706:statistics & numerical data*; D006302:Health Services Research; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D007348:Insurance, Health; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D011057:Politics; D011203:Poverty / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D012044:Regression Analysis; D013219:State Government; D014481:United States