Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
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 12/16/2020 (updated 4/4/2024)
As states seek new tools to meet the needs of individuals with substance use disorder (SUD) and opioid use disorder, federally qualified health centers (FQHCs) offer unique resources and examples for developing integrated and cost-effective health care services for complex and chronic conditions. The National Academy for State Health Policy developed this toolkit to share innovations, resources, and lessons learned from five state teams (AL, IL, SD, VA, and WI) that are working to strengthen the capacity of their FQHCs to deliver SUD care
Posted 12/15/2020 (updated 4/3/2024)
Dr. Seale led a discussion on communicating OUD needs in your community, building MOUD practice capacity, and other considerations and lessons learned from his work with individuals in rural communities.
Posted 6/26/2020 (updated 3/28/2024)
The MAT for OUD Playbook aims to address the growing need for guidance as more primary care practices and health systems begin to implement MAT. The Playbook’s framework is designed to be useful for practices implementing any array of MAT services.
Posted 4/25/2023 (updated 3/27/2024)
Wish lists for consortiums or coalitions often include words like “effective,” “engaged,” “productive,” “sustainable,” “powerful,” “growing,” and “motivated.”
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.