Resources
10 Results (showing 1 - 10)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 10/28/2020 (updated 4/3/2024)
These sample Needs Assessments have been created by RCORP Planning grantees. Please note, these samples are from Planning II grantees and the required elements for the Planning III cohort Needs Assessments have changed. Please refer to the list of required elements for Planning III grantees in your RCORP Planning III Orientation Packet.
Posted 10/7/2020 (updated 3/29/2024)
This toolkit contains clinical materials targeting treatment of substance use disorder in the acute care setting.
Posted 2/25/2020 (updated 3/28/2024)
A guide to provide the addiction treatment and recovering community with practical information and tools to enhance their capacity to engage in effective stigma reduction efforts.
Posted 1/16/2020 (updated 3/28/2024)
There are many different definitions and concepts associated with services integration.
Posted 11/27/2019 (updated 3/28/2024)
Sample plan for workforce development
Posted 7/9/2020 (updated 3/28/2024)
This presentation provides tips using examples from the Medicare Rural Hospital Flexibility Program on working with subcontractors, stakeholders and partners in ways to demonstrate outcomes.
Posted 7/6/2020 (updated 3/28/2024)
This toolkit was produced by the University of Minnesota Rural Health Research Center, in partnership with the NORC Walsh Center for Rural Health Analysis, and in collaboration with the Rural Health Information Hub (RHIhub).
Posted 11/19/2019 (updated 3/28/2024)
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).