Asian-Americans face health disparities that are often obfuscated by poor data and racial stereotypes like the model minority and health immigrant effect. Likewise, the term “Asian” is used as a collective label for a diverse range of populations with different concerns and cultural practices. A new article in Health Affairs explores these issues and possible solutions to help address these disparities to improve health outcomes for millions of Americans.
According to the authors, “Although several states, including California, Oregon, Minnesota, and New York, have made progress on improving data collection and reporting of racial and ethnic subgroup data (or disaggregated) data, many federal, state, and local data systems continue to only capture broad racial and ethnic categories. Here we present a few key considerations to improve the collection and reporting of data on Asian American communities, as well as all racial and ethnic groups.”
To read the entire study, click here.
(Source: Health Affairs, February 2022)