The Mutually Reinforcing Cycle of Poor Data Quality and Racialized Stereotypes That Shape Asian American Health

The article focuses on two key examples of structural racism in the health context for Asian Americans: poor-quality data infrastructure and biases on the part of researchers, healthcare providers, and the public health community, fueled by pervasive stereotypes about the Asian American community (that is, model minority, perpetual foreigner, and healthy immigrant). The authors 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.

Resource Details

• Population: Asian
• Topics of Practice: Data Collection and Analysis
• Outcomes of Interest: Improve Data Infrastructure
• Level of Evidence: Emerging
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Education Access and Quality|Social and Community Context
• Outside of US: No