Resources
7 Results (showing 1 - 7)
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 3/25/2021 (updated 4/5/2024)
Posted 12/23/2020 (updated 4/4/2024)
This technical package provides evidence of the effectiveness of strategies and approaches for supporting successful planning, design, implementation, and sustainability of syringe services programs (SSPs). It provides a broad framework for new and existing SSPs to ensure needs-based service delivery, reduce harms related to injection drug use, and link participants to services that support their health and wellness.
Posted 11/11/2021 (updated 4/3/2024)
In this session, a former RCORP-Planning, current RCORP-Implementation, and newly awarded RCORP-Psychostimulant grantee shared how it used multisectoral collaboration, lived experience, and second-chance employment to build a program from the ground up.
Posted 10/29/2020 (updated 4/3/2024)
Triumph over the opioid epidemic requires ALL traditional and non-traditional partners to come to the table. Join us to explore strategies for increasing the reach and sustainability of rural community coalitions by ensuring the right partners are at your table and can contribute to solving this crisis rather than be consumed by it.
Posted 4/26/2023 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the Spring 2023 Data Learning Collaborative for all RCORP grant recipients. These sessions built the foundation for data learning, and we dove into data-related topics during each month’s skills-building session.
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).