The Compounding Effect of Race/Ethnicity and Disability Status on Children's Health and Health Care by Geography in the United States

Med Care. 2020 Dec;58(12):1059-1068. doi: 10.1097/MLR.0000000000001428.

Abstract

Objective: The objective of this study was to examine the potential compounding effect of race/ethnicity, and disability status on children's health and health care, stratified by selected geographies.

Methods: We used the 2011/2012 NSCH and the 2012 Boston Survey of Children's Health for our compounded disparity analysis. We used VanderWheel and Knol method to first predict combined risk ratios of race/ethnicity and disability and then compared them with the observed combined risk ratios.

Results: We demonstrated that racial/ethnic minority children with disabilities experience additional disparities in health care access outcomes that are greater than the sum of the effects from either characteristic alone. Further, we demonstrate that disparities persist across all selected geographies irrespective of whether children lived in states or metropolitan cities with the best health care systems in the United States.

Conclusions: Despite reform efforts, our study demonstrates that racial/ethnic minority children with disabilities experience a double burden. Given the deleterious compounded disparities, public health and social service programs at all geographical levels should prioritize identifying participants that face this and tailor programs to meet their needs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Age Factors
  • Black or African American / statistics & numerical data
  • Child
  • Child Health / statistics & numerical data*
  • Child, Preschool
  • Disabled Children / statistics & numerical data*
  • Ethnicity / statistics & numerical data*
  • Female
  • Geographic Mapping
  • Health Services Accessibility / statistics & numerical data*
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Language
  • Male
  • Racial Groups / statistics & numerical data*
  • Severity of Illness Index
  • Sex Factors
  • Socioeconomic Factors
  • United States / epidemiology