Comparing states on outcomes for children with special health care needs

Stephen J Blumberg1, Matthew D Bramlett

  • 1National Center for Health Statistics, Centers for Disease Control and Prevention, 3311 Toledo Road, Room 2112, Hyattsville, Maryland 20782, USA. sblumberg@cdc.gov

Insights

New methods for ranking states on children with special health care needs (CSHCN) reveal adjusted scores that account for demographics. This provides a clearer comparison of state performance in CSHCN health and well-being.

Area of Science:

  • Pediatric Health Outcomes
  • Health Services Research
  • State-Level Health Comparisons

Background:

  • Assessing the health, healthcare, and well-being of children with special health care needs (CSHCN) across states is complex.
  • Existing comparisons may be confounded by demographic differences between states.
  • A need exists for methods that allow for equitable state-level comparisons.

Purpose of the Study:

  • To develop and evaluate two alternative methods for comparing and ranking states based on CSHCN health, healthcare, and well-being.
  • To create composite scores that reflect key indicators for CSHCN.
  • To adjust these scores for demographic variations to enable fairer state comparisons.

Main Methods:

  • Utilized 15 key indicators from the 2001 National Survey of Children with Special Health Care Needs.
  • Developed an initial composite score by averaging standardized state indicator scores.
  • Applied linear regression and standardized residuals to create an adjusted composite score, controlling for demographic variables.

Main Results:

  • Initial composite scores were influenced by poverty, race, and prevalence of special healthcare needs.
  • State rankings shifted significantly (≥10 positions for half of states) when using adjusted scores compared to initial scores.
  • Hawaii, Rhode Island, Arizona, Iowa, and North Dakota demonstrated the highest adjusted scores.

Conclusions:

  • Adjusted composite scores enable more equitable comparisons of states with differing demographic compositions.
  • These adjusted scores can highlight areas where state performance may be overestimated due to favorable demographics.
  • The methods enhance awareness of CSHCN concerns by providing a demographically adjusted perspective on state performance.
Abstract

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