Disparities in health care access and receipt of preventive services by disability type: analysis of the medical expenditure panel survey

Health Serv Res. 2014 Dec;49(6):1980-99. doi: 10.1111/1475-6773.12195. Epub 2014 Jun 24.

Abstract

Objective: To examine differences in access to health care and receipt of clinical preventive services by type of disability among working-age adults with disabilities.

Data source: Secondary analysis of Medical Expenditure Panel Survey (MEPS) data from 2002 to 2008.

Study design: We conducted cross-sectional logistic regression analyses comparing people with different types of disabilities on health insurance status and type; presence of a usual source of health care; delayed or forgone care; and receipt of dental checkups and cancer screening.

Data collection: We pooled annualized MEPS data files across years. Our analytic sample consisted of adults (18-64 years) with physical, sensory, or cognitive disabilities and nonmissing data for all variables of interest.

Principal findings: Individuals with hearing impairment had better health care access and receipt than people with other disability types. People with multiple types of limitations were especially likely to have health care access problems and unmet health care needs.

Conclusions: There are differences in health care access and receipt of preventive care depending on what type of disability people have. More in-depth research is needed to identify specific causes of these disparities and assess interventions to address health care barriers for particular disability groups.

Keywords: People with disabilities; adult; health care disparities; insurance coverage; population surveillance.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Female
  • Health Care Surveys / statistics & numerical data*
  • Health Expenditures*
  • Health Services Accessibility / statistics & numerical data*
  • Health Services Needs and Demand / statistics & numerical data*
  • Health Services for Persons with Disabilities / statistics & numerical data*
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Preventive Health Services / statistics & numerical data*
  • Regression Analysis
  • Young Adult