Resources
12 Results (showing 1 - 10)
Results sorted by posted date (oldest first)
Results sorted by posted date (oldest first)
Posted 3/25/2021 (updated 4/5/2024)
Documentation, Coding, and Billing for SUD/OUD via Medication-Assisted Treatment (MAT): A Rural and Community Health Focus
The presenter will outline the steps needed to effectively document, code, and bill for services including screening for SUD/OUD and providing care during the induction, stabilization, and maintenance phases of MAT. Individual state Medicaid issues are too numerous and will not be specifically referred to on a state-by-state basis.
Posted 3/25/2021 (updated 4/5/2024)
Stimulants 2021: An Update—Clinical Issues and Treatments
The presenter will review considerations in engaging and treating individuals with stimulant use disorders and present evidence-based treatment strategies relevant to rural communities addressing this growing problem.
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 5/26/2021 (updated 4/10/2024)
Posted 8/4/2021 (updated 4/2/2024)
Posted 10/26/2021 (updated 4/3/2024)
Posted 10/27/2021 (updated 4/3/2024)
Posted 6/7/2022 (updated 3/27/2024)
This session had three presenters who covered contingency management, prevention of stimulant use for children, and peer support.
Posted 6/7/2022 (updated 3/27/2024)
This presentation featured an overview of epidemiology of stimulant use, describe toxicities of stimulant use, and identify interventions to address stimulant use.
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.