Regardless of intentions, the ways in which data are collected, analyzed, and reported may have inequitable consequences. The effects of policies that make data unavailable on excluded or marginalized groups can put those populations at further disadvantage that may reflect systemic racism.
This report, produced in partnership with the University of California, San Francisco, should be relevant to those planning, conducting, or funding ethnic/racial data collection, analysis, and/ or reporting, for both federally and privately funded data, in all sectors, not only health.
These are just a few ways to support data disaggregation. The full report goes into more detail than possible here and includes an appendix listing organizations that may be resources for additional information; excerpts from major population-based secondary data sources often used in health research that show level of disaggregation of racial/ethnic data; and references.
Consensus around the definition of health equity can help bridge divides and foster productive dialogue among diverse stakeholder groups.
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