Race & Ethnicity

This tip sheet highlights the importance of using equitable communication and includes tips, guiding questions, and additional resources. The information is organized around three key strategies for equitable communication:

This guide explores intersectionality and why it is essential for advancing equity. It explores strategies for planning and conducting research with an intersectional lens, describes quantitative measures and methods to examine differences across groups of people with intersecting identities, and provides key considerations for using qualitative data to better understand intersectionality.

This tool describes how to conduct intensive equity assessments of existing programs, policies, and processes. The tool first describes the scoping work that needs to be done before conducting an equity assessment and then describes and provides guiding questions for each of the six steps in the in-depth equity assessment process. Those six steps are:

This tool describes the six steps for conducting equity assessments and provides tips for completing each step. Although specific steps vary by equity assessment tool and context, core steps include:

In this brief, we highlight experiences and practices from substance use treatment providers and their human services partners when serving people of color. We selected providers that focused on serving people of color, and this study was not intended to assess outcomes or effectiveness of any of the practices highlighted.

Methodological Description

This brief presents estimates of the number and percentage of children whose parents engage in problematic substance use, including past-year substance use and SUD by substance type and child demographics. Key findings include:

Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.

In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.

This Data Point presents changes in HealthCare.gov enrollment by race and ethnicity from 2015-2022 using a validated imputation method for missing information on race and ethnicity.