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6 Results (showing 1 - 6)
Results sorted by posted date (oldest first)
Results sorted by posted date (oldest first)
Posted 12/3/2019 (updated 3/28/2024)
Billing Behavioral Health Medicaid Services Under Managed Care in New York State.
Posted 2/10/2020 (updated 3/28/2024)
The consequences for failing to treat OUD within correctional settings are significant. In addition to risk of overdose, most individuals who receive MAT in the community lose access to treatment upon confinement; studies show these individuals experience extreme stress. Individuals with opioid dependence entering correctional facilities are also at high risk for opioid withdrawal syndrome.
Posted 5/11/2020 (updated 3/28/2024)
This fact sheet describes changes to Oregon Health Authority (OHA) reimbursement for Medication-Assisted Treatment drugs administered to fee-for-service Oregon Health Plan members, effective January 1, 2019.
Posted 5/11/2020 (updated 3/28/2024)
Medication assisted treatment (MAT) will be offered to patients who have a current diagnosis of opioid use disorder (OUD), moderate to severe, and who meet predetermined criteria.
Posted 3/3/2021 (updated 4/5/2024)
The National Governors Association and the American Correctional Association recently released a new toolkit on "Expanding Access to Medications for Opioid Use Disorder in Corrections and Community Settings: A Roadmap for States to Reduce Opioid Use Disorder for People in the Justice System."
This roadmap highlights existing state efforts and serves as a policy development tool for Governors and state officials seeking to improve coordination and bolster existing efforts across state agencies to address OUD among people involved in the justice system by expanding access to evidence-based medications. The following are key steps for supporting MOUD in corrections settings.
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.