Improve Equity in Behavioral Health Care with Data

How can you measure the impact of social factors on substance use health outcomes?

Social determinants of health (SDoH) are a critical component of health outcomes, but there is not a proven method for measuring, predicting, and adjusting for these factors. How can data be used to quantify these impacts to inform changes to policies and practices in our behavioral health care system? 

In this recorded webinar, experts discuss how the RTI Rarity™ project takes an artificially intelligent approach to risk adjustment for local SDoH. Drawing on a national dataset of over 150 small-area measures, RTI Rarity uses random forest models to understand several health outcomes, including overdose and cancer mortality, at the Census tract, ZIP code, and county-level across the US. 

Watch the free on-demand webinar to learn how Local Social Inequity (LSI) scores, produced by RTI Rarity:

• can help you understand the social drivers of overdose and cancer mortality at the neighborhood-level across the US;
• differ from other composite SDoH measures;
• can be used to study the effects of using different geographic units on SDoH-focused analyses.

This webinar is part of the RTI Tech Talk webinar series, which focuses on solutions that can help you better connect, analyze, share, and leverage your data. Learn more about the series and sign up to receive updates on upcoming webinars. 

RTI is committed to improving health equity through our Transformative Unit for Equity (TRUE). Learn more about how TRUE is using innovative, culturally responsive research practices to advance equity.