Work Requirements and Medicaid Disenrollment in Arkansas, Kentucky, Louisiana, and Texas, 2018

Am J Public Health. 2020 Aug;110(8):1208-1210. doi: 10.2105/AJPH.2020.305697. Epub 2020 Jun 18.

Abstract

Objectives. To identify risk factors for Medicaid disenrollment after the implementation of Arkansas's work requirements.Methods. Using a 2018 telephone survey of 1208 low-income adults aged 30 to 49 years in Arkansas (expansion state with work requirements implemented in June 2018), Kentucky (expansion state with proposed work requirements blocked by courts), Louisiana (expansion state without work requirements), and Texas (nonexpansion state), we assessed Medicaid disenrollment rates among the age group targeted by Arkansas's policy.Results. The Medicaid disenrollment rate was highest in Texas (12.8%), followed by Arkansas (10.5%), Kentucky (5.8%), and Louisiana (2.8%). Over half of those who disenrolled in Texas and Arkansas became uninsured, compared with less than a quarter in Kentucky and Louisiana. In multivariate models, Arkansas had significantly higher disenrollment compared with the 3 comparison states; men and non-Hispanic Whites experienced higher disenrollment than women and racial minorities. In Arkansas, having a chronic condition was associated with higher disenrollment.Conclusions. As states debate work requirements and Medicaid reforms, our findings provide insights for policymakers about which populations may be most vulnerable to losing Medicaid coverage.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Employment*
  • Female
  • Humans
  • Insurance Coverage / statistics & numerical data*
  • Insurance, Health / statistics & numerical data*
  • Male
  • Medicaid / statistics & numerical data*
  • Medically Uninsured / ethnology
  • Medically Uninsured / statistics & numerical data*
  • Middle Aged
  • Patient Protection and Affordable Care Act / legislation & jurisprudence
  • Policy
  • Poverty / statistics & numerical data
  • Sex Factors
  • Surveys and Questionnaires
  • United States