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6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 4/28/2021 (updated 4/10/2024)
The National CLAS Standards are intended to advance health equity, improve quality, and help eliminate health care disparities by establishing a blueprint for health and health care organizations to:
Principal Standard: Provide effective, equitable, understandable, and respectful quality care and services that are responsive to diverse cultural health beliefs and practices, preferred languages, health literacy, and other communication needs.
Posted 12/23/2020 (updated 4/4/2024)
This toolkit is designed primarily for substance use and child welfare practitioners, as well as other service providers and health system planners who offer services to, or design services with, pregnant women and new mothers who use substances. Much is changing in the substance use and child welfare fields to bring forth approaches that are culturally safe, trauma informed, harm reduction-oriented and participant-driven. This toolkit highlights these advances and invites people working in both systems to think about how we can continue to improve our work, in partnership with the women who use these services.
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 6/12/2020 (updated 3/28/2024)
Mother & Baby Substance Exposure Toolkit Best Practices All Best Practices came as a part of the California Medication Assisted Treatment Expansion Project
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).