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Implications of missingness in self-reported data for estimating racial and ethnic disparities in Medicaid quality measures.

Kimberly YeeMegan J HoopesSophia GiebultowiczMarc N ElliottK John McConnell
Published in: Health services research (2022)
BISG imputation methods are feasible for Medicaid claims data and reduced missingness to <1%. Disparities may be larger than what is estimated using self-reported data with high rates of missingness.
Keyphrases
  • affordable care act
  • electronic health record
  • health insurance
  • big data
  • healthcare
  • data analysis
  • quality improvement
  • deep learning