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Systems Analysis and Improvement to Optimize Opioid Use Disorder Care Quality and Continui

This study evaluates the effectiveness of a health systems strategy (the Systems Analysis and Improvement Approach - SAIA) that packages systems engineering tools (including cascade analysis, flow mapping, and continuous quality improvement) to optimize the management of opioid use disorder (MOUD) care cascade and impr

Condition(s)Opioid Use Disorder, Opioid Use Disorders
StatusRecruiting
PhaseNA
Study typeInterventional
SummaryThis study evaluates the effectiveness of a health systems strategy (the Systems Analysis and Improvement Approach - SAIA) that packages systems engineering tools (including cascade analysis, flow mapping, and continuous quality improvement) to optimize the management of opioid use disorder (MOUD) care cascade and improve linkages between jails and clinical referral sites. The investigators will 1. study the effectiveness of SAIA on MOUD care cascade quality and continuity for patients receiving care in jail and exiting to referral clinics 2. explore determinants of adoption, implementation, and sustainment of SAIA-MOUD across implementation clinics, and 3. estimate the cost and cost-effectiveness of SAIA-MOUD
Who can participateInclusion Criteria: Implementation Outcomes (consented) Group 1: * clinic staff/providers at study clinics (JHS, OBOT, Pathways, Sound) * age 18+ Group 2: * current patients at SAIA clinic in the community (OBOT, Pathways, Sound) with jail involvement in the last 12 months * age 18+ Clinical Outcomes (de-identified data, non consented) Group 3: * receive MOUD treatment while incarcerated in King County Jails (WA). * age 18+ * on Medicaid * released to community Exclusion Criteria: Group 1 \& 2: * do not consent Group 3: * not on Medicaid
Ages18 Years to 110 Years
SexAll
Accepts healthy volunteersYes
Lead sponsorUniversity of Washington
LocationsSeattle, Washington, United States
Start date2024-11-21
NCT IDNCT06593353
Official listinghttps://clinicaltrials.gov/study/NCT06593353

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