Though race–ethnicity is not a biological variable, race–ethnicity is included in nearly every medical study and often very statistically & meaningfully significant. New measures are critically needed that will allow biomedical researchers to disentangle race–ethnicity from the true individual, interpersonal, and structural causes of health disparities. In this talk, we introduce novel measures using simple survey items to capture self-reported experience of discrimination and stress spanning the life course agnostic to source. Early results from an employee survey will be presented.

Register via Compass 

This seminar will not be recorded

Questions? Contact Amy Laird: laird@ohsu.edu 

Resources:

Chantarat et al. The intricacy of structural racism measurement: A pilot development of a latent-class multidimensional measure. Lancet Discovery Science 2021; 40.

Chantarat et al. Multidimensional structural racism predicts birth outcomes for Black and White Minnesotans. Health Services Research 2022; 57(3):448–457.

Hardeman et al. Improving the measurement of structural racism to achieve antiracist health policy. Health Affairs 2022; 41(2): 179–186.

Jones et al. Cross-Cutting Themes to Advance the Science of Minority Health and Health Disparities. American Journal of Public Health 2019 Jan; 109(S1): S21–S24.

Jones et al. Life Course Approaches to the Causes of Health Disparities. American Journal of Public Health 2019 Jan; 109(S1): S48–S55.

If you have a disability and need an accommodation to attend or participate in this event, please contact an OCTRI Navigator (octri@ohsu.edu, 503-418-9790) at least five business days before the event.