title: Crowd-out in the State Children's Health Insurance Program (SCHIP): incidence, enrollee characteristics and experiences, and potential impact on New York's SCHIP.
abstract: BACKGROUND
  The extent to which the State Children's Health Insurance Program (SCHIP) crowds our private insurance is poorly understood.
  
  
  OBJECTIVE
  To assess the incidence of crowd-out and enrollee characteristics associated with crowd-out.
  
  
  METHODS
  Parent telephone survey for 2,644 children after enrollment in NY SCHIP. MEASURES AND ANALYSES: Crowd-out is measured based on enrollee reports of coverage (and loss of coverage) before SCHIP. Multivariate logistic regression is used to relate crowd-out to enrollee characteristics.
  
  
  RESULTS
  Only 7.1 percent of SCHIP enrollees dropped private coverage < or =6 months before SCHIP, suggesting relatively modest crowd-out. Crowd-out was associated with some enrollee traits including income, but not with health status.
  
  
  CONCLUSIONS
  Most movement from private to public insurance in NY was not crowd-out. Under current program structure in NY, crowd-out concerns should not dampen enthusiasm for SCHIP.
authors.affiliation: Department of Pediatrics, School of Nursing, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 777, Rochester, NY, USA.
authors.forename: Laura P
authors.initials: LP
authors.lastname: Shone
authors.forename: Paula M
authors.initials: PM
authors.lastname: Lantz
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Dick
authors.forename: Michael E
authors.initials: ME
authors.lastname: Chernew
authors.forename: Peter G
authors.initials: PG
authors.lastname: Szilagyi
mesh_terms: D000293:Adolescent; D000367:Age Factors; D002648:Child; D002662:Child Health Services / Q000706:statistics & numerical data*; D002675:Child, Preschool; D006304:Health Status; D006801:Humans; D007182:Income; D007223:Infant; D007231:Infant, Newborn; D019458:Insurance Coverage; D007348:Insurance, Health / Q000706:statistics & numerical data*; D009518:New York; D044469:Racial Groups; D013221:State Health Plans / Q000706:statistics & numerical data*; D014481:United States