title: Context or composition: what explains variation in SCHIP disenrollment?
abstract: OBJECTIVE
  To investigate (1) the relative contributions of family and contextual characteristics to observed variation in disenrollment rates from the State Children's Health Insurance Program (SCHIP), and (2) whether context explains observed family-level patterns.
  
  
  METHODS
  We use secondary data on 24,628 families enrolled in New Jersey's SCHIP program (NJ KidCare), and county-level data from the Area Resource File, the Census, and the NJ FamilyCare provider roster.
  
  
  METHODS
  Information on family characteristics, SCHIP plan, and dates of enrollment and disenrollment are taken from NJ KidCare administrative records, which provided surveillance data from January 1998 through April 2000.
  
  
  METHODS
  We estimate a multilevel discrete-time-hazards model of SCHIP disenrollment.
  
  
  RESULTS
  Families enrolled in plans involving cost-sharing, blacks, and those with only one enrolled child have higher than average rates of disenrollment. Disenrollment rates for blacks are lower in counties with a high share of black physicians. These characteristics account for part of the intercounty variation in disenrollment rates; remaining intercounty variation is largely explained by physician density or population density.
  
  
  CONCLUSIONS
  It may be worthwhile to pay special attention to black families and counties with high disenrollment rates to address the reasons for their lower retention. Addressing cultural differences between physician and client and the geographic distribution of medical providers might reduce disenrollment.
authors.affiliation: Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ 08901, USA.
authors.forename: Julie A
authors.initials: JA
authors.lastname: Phillips
authors.forename: Jane E
authors.initials: JE
authors.lastname: Miller
authors.forename: Joel C
authors.initials: JC
authors.lastname: Cantor
authors.forename: Dorothy
authors.initials: D
authors.lastname: Gaboda
mesh_terms: D002648:Child; D002662:Child Health Services / Q000191:economics*; D002669:Child Welfare; D003258:Consumer Behavior / Q000706:statistics & numerical data*; D005006:Ethnicity / Q000706:statistics & numerical data*; D006801:Humans; D008484:Medicaid / Q000706:statistics & numerical data*; D008483:Medical Assistance / Q000191:economics / Q000706:statistics & numerical data*; D017057:Medically Uninsured / Q000208:ethnology / Q000706:statistics & numerical data*; D009515:New Jersey / Q000453:epidemiology; D012959:Socioeconomic Factors; D013221:State Health Plans / Q000191:economics / Q000706:statistics & numerical data*; D014481:United States