title: Medical home disparities between children with public and private insurance.
abstract: OBJECTIVE
  To compare the prevalence of a medical home for children with public versus private insurance and identify components of the medical home that contribute to any differences.
  
  
  METHODS
  We performed a secondary data analysis of the 2007 National Survey of Children's Health. A medical home was defined as meeting each of 5 components: 1) usual source of care; 2) personal doctor/nurse; 3) family-centered care; 4) care coordination, if needed; and 5) no problems getting a referral, if needed. We estimated the national prevalence of the medical home and its components for children with public versus private insurance. Comparisons were made using logistic regression, unadjusted and adjusted for sociodemographic factors.
  
  
  RESULTS
  A total of 67% of privately insured children met all 5 components of the medical home, compared with only 45% of publicly insured children (P < .001). The gap in medical home prevalence between public and private groups remained significant after controlling for sociodemographic characteristics (public vs private adjusted odds ratio [AOR] 0.82; 95% confidence interval [95% CI] 0.73-0.92). Over 90% of children in both groups reported having a usual source of care and a personal doctor/nurse. Only 58% of publicly insured children reported family-centered care, compared with 76% of privately insured children (P < .001). This difference was significant after adjustment for sociodemographic characteristics (public vs private AOR 0.87; 95% CI 0.77-0.99).
  
  
  CONCLUSIONS
  Significant medical home disparities exist between publicly and privately insured children, driven primarily by disparities in family-centered care. Efforts to promote the medical home must recognize and address determinants of family-centered care.
authors.affiliation: Child Health Evaluation and Research Unit, Division of General Pediatrics, University of Michigan, Ann Arbor, Mich., USA. josephzi@umich.edu
authors.forename: Joseph S
authors.initials: JS
authors.lastname: Zickafoose
authors.forename: Achamyeleh
authors.initials: A
authors.lastname: Gebremariam
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Clark
authors.forename: Matthew M
authors.initials: MM
authors.lastname: Davis
mesh_terms: D002648:Child; D002662:Child Health Services / Q000191:economics / Q000706:statistics & numerical data; D002669:Child Welfare; D002675:Child, Preschool; D005260:Female; D019538:Health Care Surveys; D054625:Healthcare Disparities / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D019458:Insurance Coverage / Q000191:economics / Q000639:trends; D007348:Insurance, Health / Q000191:economics / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D020380:Needs Assessment; D018802:Patient-Centered Care / Q000191:economics / Q000706:statistics & numerical data*; D017149:Private Sector / Q000191:economics / Q000706:statistics & numerical data*; D017150:Public Sector / Q000191:economics / Q000706:statistics & numerical data*; D014481:United States