245.1 MC Section Study Group: Using Indirect Measures of Race-Ethnicity to Identify Disparities in Healthcare

Sunday, November 7, 2010: 9:00 AM - 12:00 PM
Business Meeting
Eliminating racial and ethnic disparities is a national priority, but progress has been slow due to the absence of race-ethnicity data collection, especially at the level of ambulatory care. While direct (i.e., self-reported) race/ethnicity data collection is considered to be the "gold standard," collecting these data can be both costly and time-intensive for many health care organizations. Indirect estimation (IE) methodologies present a possible interim approach, although questions remain about their validity. However, newer methods provide very accurate estimates in aggregate, allowing healthcare organizations to identify problem conditions, as well as combining the results of these analyses with GIS mapping tools in order to identify geographic hotspots. This session will present the state of the art in I.E. methods and applications, and discuss some of the barriers, facilitators, and opportunities for their use. This session is supported by the National Cancer Institute and endorsed by the Asian Pacific Islander Caucus for Public Health; and the Cancer Forum.
Session Objectives: 1. Explain basics of indirect measurement of race and ethnicity using information in claims files. 2. Discuss details of an application of the method from a major insurance plan.

See individual abstracts for presenting author's disclosure statement and author's information.

Organized by: Medical Care
Endorsed by: Asian Pacific Islander Caucus for Public Health, Caucus on Refugee and Immigrant Health

See more of: Medical Care