Consuelo Wilkins and colleagues make a similar argument in a recent piece in JAMA Neurology:
Unfortunately, analyzing findings by race/ethnicity without appropriate contextual data could lead to inaccurate, misleading, or stigmatizing conclusions that may detract from the overall goals of diversity in research: to enhance the accuracy, utility, and generalizability of scientific evidence.
They use Alzheimer disease research as an example, and recommend that in this context, in addition to race/ethnicity, researchers collect detailed information related to primary language, education, annual household income, perceived social class, neighborhood characteristics, and perceived discrimination. The article gives specifics about the recommended level of detail for each of these. For example, under “education” they recommend asking about “Total years of education; school characteristics (public vs private, rural vs urban vs suburban); parents’ total years of education.”