Using Bayesian Imputation to Assess Racial and Ethnic Disparities in Pediatric Performance Measures.

@article{Brown2016UsingBI,
  title={Using Bayesian Imputation to Assess Racial and Ethnic Disparities in Pediatric Performance Measures.},
  author={David P. Brown and Caprice A. Knapp and Kimberly Anne Baker and Meggen Kaufmann},
  journal={Health services research},
  year={2016},
  volume={51 3},
  pages={
          1095-108
        }
}
OBJECTIVE To analyze health care disparities in pediatric quality of care measures and determine the impact of data imputation. DATA SOURCES Five HEDIS measures are calculated based on 2012 administrative data for 145,652 children in two public insurance programs in Florida. METHODS The Bayesian Improved Surname and Geocoding (BISG) imputation method is used to impute missing race and ethnicity data for 42 percent of the sample (61,954 children). Models are estimated with and without the… CONTINUE READING
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