Disaggregation of Race and Ethnicity Group Data: Research-to-Practice Issues in Clinical Environments

JAMA. 2022 Oct 11;328(14):1395-1396. doi: 10.1001/jama.2022.17194.
No abstract available

Plain language summary

This Viewpoint discusses the importance of accurately categorizing and collecting race and ethnicity data, matching self-identity with race and ethnicity labels, in an effort to quantify the extent of health disparities.

MeSH terms

  • Biomedical Research* / statistics & numerical data
  • Data Aggregation
  • Ethnicity* / statistics & numerical data
  • Health Status Disparities
  • Humans
  • Racial Groups* / statistics & numerical data