The Mutually Reinforcing Cycle of Poor Data Quality and Racialized Stereotypes that Shapes Asian American Health

We provide recommendations on how to implement systems-level change and educational reform to infuse racial equity in future policy and practice for Asian American communities.

Categories: Peer-Reviewed Literature

Tags: antiracist methods, community engagement, data infrastructure, data quality, data sources, health equity, information design, political determinants of health, structural racism, systems thinking

Author: Chau Trinh-Shevrin, Iyanrick John, Lan N. Doan, Nadia S. Islam, Rachel Suss, Simona C. Kwon, Stella S. Yi

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