Authored by Victoria Tran
Race, ethnicity, and language (REL) measurement means collecting, analyzing, and using data to identify and address health disparities. Quality REL data is self-reported using detailed, standardized categories and selecting multiple categories.
To evaluate whether policies and practices promote equity, make informed decisions, and detect inequities where we may not expect them, we must have high-quality and detailed race, ethnicity, and language (REL) data.
In 2021, Connecticut took steps to standardize how this data is collected by some state agencies and health care providers.
To further strengthen REL measurement, Health Equity Solutions recommends:
Are you looking for REL data from your town? Check out DataHaven’s reports for each CT municipality here.
How does this image reflect your work? What is missing? Please share your thoughts with us by email or social media (Facebook: @healthequityct; Instagram: @healthequitysolutions; Twitter: @HealthEquityCT). Stay tuned for posts expanding on each section of CT’s Path to Equity.