Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 1/22/2020 (updated 3/28/2024)
With opioid deaths on the rise and fentanyl deaths rapidly increasing, a crisis of this magnitude requires innovative responses at multiple intervention points, including post-overdose, as part of a comprehensive strategy to aid in the treatment of and recovery from opioid use disorders. This article explores law enforcement overdose reversal and post-resuscitation and treatment responses in the newly emerging field of pre-arrest diversion.
Posted 1/22/2020 (updated 3/28/2024)
How Science Has Revolutionized the Understanding of Drug Addiction. PDF version of this resource is available in English and Spanish.
Posted 8/11/2020 (updated 3/28/2024)
Corporation for Supportive Housing (CSH) developed a Racial Disparities and Disproportionality Index that looks at 16 unique systems and measures whether a racial and/or ethnic group’s representation in a particular public system is proportionate to, over or below their representation in the overall population and also allows for the examination of systematic differences between groups and geographies .
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 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).