Year: 2024
Type: article
Abstract: In this article, Danquah explores the hidden impact of ethnicity categorisation in healthcare.He acknowledges the argument that data support justice through highlighting inequalities.However, he also discusses evidence that such efforts may be hampered by the data being not only 'dodgy', but also dehumanising.Danquah uses lived experience of filling in ethnicity data surveys as a person of 'mixed' heritage, arguing that it is the mixed category that most readily highlights the deficiencies in this approach.He goes on to discuss the tensions between mitigating the damage and dispensing with ethnicity categorisation altogether, before sharing ways to rehumanise the data and conceive of ourselves and those we serve more fully.
Source: Medical Education
DOI: 10.1111/medu.15493
Language: English
Topic: Race, Genetics, and Society
Subfield: Genetics
Domain: Life Sciences
SDG: Reduced inequalities
Open Access status: bronze
OpenAlex ID: W4404544661