How do we collect good-quality data on race and ethnicity and address the trust gap?
2022; Elsevier BV; Volume: 400; Issue: 10368 Linguagem: Inglês
10.1016/s0140-6736(22)02490-4
ISSN1474-547X
AutoresRohini Mathur, Christopher T. Rentsch, Kavita Venkataraman, Segun Fatumo, Modou Jobe, Chaisiri Angkurawaranon, Suan Ee Ong, Angel Wong, Moneeza K. Siddiqui,
Tópico(s)Health disparities and outcomes
ResumoThe collection of high-quality data on race and ethnicity is essential for identifying inequalities and uncovering patterns of potential disadvantage and racism that might otherwise remain insidious. The terms race and ethnicity encompass a wide and complex range of socially constructed characteristics, including an individual's own self-identification and social determinants of health and wellbeing. The importance of collecting race and ethnicity data was highlighted during the COVID-19 pandemic; for instance, in the UK, researchers uncovered stark ethnic inequalities1,2 and translated these findings into policy.
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