Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 12/16/2020 (updated 4/4/2024)
As states seek new tools to meet the needs of individuals with substance use disorder (SUD) and opioid use disorder, federally qualified health centers (FQHCs) offer unique resources and examples for developing integrated and cost-effective health care services for complex and chronic conditions. The National Academy for State Health Policy developed this toolkit to share innovations, resources, and lessons learned from five state teams (AL, IL, SD, VA, and WI) that are working to strengthen the capacity of their FQHCs to deliver SUD care
Posted 8/25/2021 (updated 4/2/2024)
HRSA’s Health Centers Program published new research briefs exploring health center capacity in maternity care deserts, differences in clinical quality measures among Appalachian and non-Appalachian health centers, and the role of health centers in providing medication-assisted treatment. The briefs were developed through the UDS Mapper—a tool that helps evaluate the geographic reach, penetration, and growth of the Health Center Program and its relationship to other federally-linked health resources.
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 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).