Good afternoon! I work at a United Way in Wisconsin, and help collect and analyze program data collection from our grant-funded partners. Currently, we collect demographic information using race and ethnicity categories aligned to the U.S. Census. For participants who identify as “Hispanic/Latino”, we ask agencies to enter those participants in the “Other” race category and the “Hispanic/Latino” ethnicity category. However, this may “hide” those participants identifying as racial categories other than those we list out. We are considering splitting the “Other” racial category into two: “Other (including Hispanic/Latino)” and “Other (not including Hispanic/Latino).” Have any of you faced a similar situation with your participant data? What resources/conversations did you use to inform your decision? My supervisor is looking for “evidence-based best practices,” but we also want to consult with the agency leaders who work closely with this population. I’d appreciate anyone willing to share your experience!
Hello - I work with Alameda County Public Health Department’s Maternal & Child Health Unit in a similar role. For federal reports, we collect Race/Ethnicity as two separate categories - where Hispanic/Latino fall under the Ethnicity = Hispanic/Latino and the participant has a choice to choose up to as many race categories as they would like.
We are also in discussions to revamp how we collect this data and will be moving towards a combined category R/E question for data collection - where the Hispanic/Latino category is part of the Race question and the participant can choose any number of categories.
My colleagues used research from the Race, Ethnicity, Language, and Disability (REALD) Implementation Project by The Oregon Health Authority: Oregon Health Authority : Race, Ethnicity, Language, and Disability (REALD) Implementation : Office of Equity and Inclusion : State of Oregon