What factors are associated with state performance on provision of transition services to CSHCN?

Pediatrics. 2009 Dec:124 Suppl 4:S375-83. doi: 10.1542/peds.2009-1255H.

Abstract

Objective: To examine whether individual, condition-related, and system-related characteristics are associated with state performance (high, medium, low) on the provision of transition services to children with special health care needs (CSHCN).

Methods: We conducted descriptive, bivariate, and multivariable analyses of 16876 children aged 12 to 17 years by using data from the 2005-2006 National Survey of Children With Special Health Care Needs. Polytomous logistic regression was used to compare the characteristics of CSHCN residing within high-, medium-, and low-performance states, with low-performance states serving as the reference group.

Results: Compared with non-Hispanic white CSHCN, Hispanic (adjusted odds ratio [aOR]: 0.25 [95% confidence interval (CI): 0.17-0.37]) and non-Hispanic black (aOR: 0.44 [95% CI: 0.30-0.62]) CSHCN were less likely to reside in a high-performance than in a low-performance state. Compared with CSHCN who had a medical home or adequate insurance coverage, CSHCN who did not have a medical home or adequate insurance coverage were less likely to reside in a high-performance than in a low-performance state (aOR: 0.73 [95% CI: 0.57-0.95]; aOR: 0.73 [95% CI: 0.58-0.93], respectively).

Conclusions: Key factors found to be important in a state's performance on provision of transition services to CSHCN were race/ethnicity and having a medical home and adequate insurance coverage. Efforts to support the Maternal and Child Health Bureau's integration of system-level factors in quality-improvement activities, particularly establishing a medical home and attaining and maintaining adequate insurance, are likely to help states improve their performance on provision of transition services.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Child
  • Child Health Services / organization & administration*
  • Child Welfare
  • Cross-Sectional Studies
  • Disabled Children / education
  • Disabled Children / statistics & numerical data*
  • Educational Measurement / statistics & numerical data*
  • Family / ethnology
  • Health Services Accessibility / statistics & numerical data
  • Healthy People Programs / statistics & numerical data
  • Humans
  • Insurance Coverage / statistics & numerical data*
  • Logistic Models
  • Models, Statistical
  • Multivariate Analysis
  • Needs Assessment / statistics & numerical data*
  • Odds Ratio
  • Risk Factors
  • Socioeconomic Factors
  • United States / epidemiology