Resources
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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 11/27/2019 (updated 3/28/2024)
Sample plan for workforce development
Posted 11/19/2019 (updated 3/28/2024)
This guidance document is intended to support the development of comprehensive prevention. Work Plans that are based on local data and designed to achieve measurable outcomes.
Posted 4/12/2022 (updated 3/27/2024)
Since 1999, an estimated 841,000 people in the U.S. have died from a drug overdose. Beginning in March 2020, the COVID-19 pandemic significantly exacerbated the overdose crisis resulting in a 30% increase in 2020 compared to 2019. The majority of overdose deaths in the U.S. involve opioids, including nearly 71% of all overdose deaths in 2019.3 Despite high rates of overdose across the nation, overdose and overdose death are preventable. However, people at risk of overdose often face significant challenges accessing treatment and navigating systems of care. Local and state health departments are well-suited to lead and support efforts to prevent and respond to overdose and to link people to evidence-based treatment and services. Peer support services (PSS) are a valuable component of a growing number of overdose response and linkage to care initiatives that can be implemented and supported by local and state health departments.
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).