Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 5/17/2021 (updated 4/10/2024)
This webinar will present the OUD Cascade of Care, explain how to create one for your program and use it to evaluate and sustain your MOUD continuum of care.
Learning Objectives:
Understand the cascade of care for opioid use disorder (OUD)
Define metrics for your OUD cascade of care
Use the cascade of care to take action that improves sustainability
Target Audience: Implementation I, Implementation II, MAT Expansion, but all cohorts are welcome
Posted 5/5/2021 (updated 4/10/2024)
We discussed the importance of engaging community influencers in your efforts to improve prevention, treatment, and recovery systems and services. We talked about how to identify and engage these key community stakeholders and why this strategic activity is vital to your consortium’s sustainability.
Posted 11/11/2021 (updated 4/3/2024)
In these challenging times, some of our most important problems are intractable. Examples include health inequity, hybrid workplaces, systemic racism, maternal and child health, and a trained and available workforce. In this session, presenters introduced tools to help you lead, even when solutions are beyond your control. They applied those tools to help you recruit and sustain a workforce for tomorrow.
Posted 6/15/2020 (updated 3/28/2024)
The Opioid Use Disorder, Pregnant Women and Neonatal Abstinence Syndrome (NAS): Addressing the Challenges (Part II) webinar took place on June 9, 2020.
Posted 4/14/2020 (updated 3/28/2024)
Cross-sector collaboration between health and human services organizations is increasingly proposed as a promising strategy for addressing social determinants of health.
Posted 11/11/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the 2022-2023 RCORP-TA Data Learning Collaborative (LC) for grantees to come together and share knowledge, talk through challenges, and build relationships with one another. This LC will build upon the foundation established in the prior 2022 RCORP-TA Data Learning Collaborative.