Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 5/25/2021 (updated 4/10/2024)
This webinar will introduce grantees to the RCORP evaluation portal and review how various data and charts can inform sustainability strategies.
Learning objectives:
Learn how to access and utilize the RCORP evaluation portal
Understand what data in the portal can inform sustainability strategies
Posted 2/23/2021 (updated 4/4/2024)
RCORP Planning 3 Reference Guide
Posted 11/11/2021 (updated 4/3/2024)
With passion and hard work you can effectuate change you never thought possible! Judge Linda Davis shared her journey through tragedy, introspection, and transformation that has led her, and can help all of us, to become a champion for change.
Posted 11/16/2022 (updated 3/27/2024)
The Disparities Impact Statement (DIS) template is a deliverable for this project that you will be required to complete. There was a webinar discussing the DIS for all relevant cohorts on November 15, 2022. This webinar provided RCORP grantees with the tools to complete a disparities impact statement, to support efforts to address populations in rural communities that have historically suffered from poorer health outcomes and health inequities as a part of the prevention, treatment, and recovery of SUD/OUD. We strongly encourage you to review these documents or listen to the recording when it is posted to the RCORP- TA portal at a later date. Please be in contact with your Technical Expert Lead (TEL) with any questions.
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.
Posted 4/12/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, had five sessions of the Data Learning Collaborative (LC).