The 3.7% overall rate of missingness is similar to adjacent demographic items. Non-Hispanic whites were the least likely to skip these items (3.2%). Self-reported race/ethnicity and estimated racial/ethnic probabilities.īlack beneficiaries were most likely to not self-report their race/ethnicity (6.6%), followed by Hispanic (4.7%) and Asian/Pacific Islander (4.7%) beneficiaries. In total, 508,497 Medicare beneficiaries responding to the 2013-2014 Medicare Consumer Assessment of Healthcare Providers and Systems surveys were included in this study. A linear mixed-effects regression model predicted the probability of self-reporting race/ethnicity from imputed racial/ethnic probabilities. We applied a previously developed method for imputing race/ethnicity from administrative data (Medicare Bayesian Improved Surname and Geocoding 2.0) to data from a national survey where race/ethnicity was usually self-reported, but was sometimes missing. The main objectives of this study were to investigate the extent to which racial/ethnic groups differ in skipping race/ethnicity survey items, the degree to which this reflects reluctance to disclose race/ethnicity, and the utility of imputing missing race/ethnicity. Researchers are increasingly interested in measuring race/ethnicity, but some survey respondents skip race/ethnicity items.

X3ap improved races 2.0