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DTSTART;TZID=America/New_York:20230202T090000
DTEND;TZID=America/New_York:20230202T123000
DTSTAMP:20260410T052021
CREATED:20230116T165018Z
LAST-MODIFIED:20230123T124323Z
UID:1546-1675328400-1675341000@vapavt.org
SUMMARY:Enhancing Motivation\, MAT Adherence & Retention with Routine Use of Contingency Management
DESCRIPTION:Registration deadline 1/26/23 \n\n\n\n\nregister\n\n\n\n\n \n\n\n\nTrainer:  David Gastfriend M.D.\, DFASAM \n\n\n\nDr. Gastfriend is an addiction psychiatrist. At Harvard Medical School\, he directed addiction research at Massachusetts General Hospital and was an investigator in the NIDA Cocaine Collaborative Study\, NIAAA’s COMBINE Study and NIDA’s Clinical Trials Network. As Vice President at Alkermes\, Inc.\, he directed scientific publications on Vivitrol in clinical\, criminal justice and health economics research.His research led most states to endorse the American Society of Addiction Medicine (ASAM) Criteria. His 150 scientific publications include the books The ASAM Criteria and Addiction Treatment Matching. His ASAM CONTINUUM – The ASAM Criteria Decision Engine® and ASAM’s CO-Triage® tools are being adopted nationwide. \n\n\n\nIn 2016\, he co-founded DynamiCare Health\, a nationally-scalable technology for Contingency Management and predictive analytics\, winning awards from Harvard Business School\, the Commonwealth of Massachusetts\, the Governor of Ohio\, and the New York Times. He has consulted to governments in Belgium\, China\, Iceland\, Israel\, Norway\, Russia and the U.S. \n\n\n\nDescription:   \n\n\n\nAmong the behavioral approaches to treating substance use disorder\, contingency management (CM) is the best-researched\, most effective – and yet least utilized. While physiological approaches address withdrawal\, craving\, and peripheral drivers of addictive behavior and “talk therapies” engage the cortex and consciousness\, the target of CM is the fundamental limbic drive center impact of substances of abuse on motivation. CM draws upon principles of operant conditioning\, behavioral economics\, and gamification. After a half-century of research\, clinicians still have numerous concerns: ethics (is it enabling to pay patients money?)\, resources (where will the money come from?)\, testing (frequent and visually witnessed drug testing?)\, & management (who will do the intricate accounting?). \n\n\n\nTechnology can surmount each of these obstacles. Studies indicate that technology may enhance motivation\, e.g.\, boosting effort in cognitive behavioral therapy\, and supporting MAT adherence\, and improve treatment attendance and retention. Results across controlled trials indicate a consistent doubling of rates of abstinence with tech-enabled\, remote CM\, vs. usual care alone. These effects are found in alcohol\, opioid\, stimulant\, and tobacco use disorder. \n\n\n\nData from thousands of patient events with several different technologic tools indicates that these approaches are feasible with many types of: Substance use disorders (from tobacco smoking to opioids); subpopulations (from pregnant women to criminal justice-involved returning citizens to corporate executives); providers (from counselors to case managers to recovery coaches); and settings (from medical centers to recovery homes to national insurance companies). Large datasets (e.g.\, >90\,000 financial transaction events from 1\,400 patients) can generate imminent dropout and relapse indicators with good validity (e.g.\, 70% positive predictive value) that can be used to issue real-time alerts to providers to intervene — even prior to a patient’s return to drug use. Progress in national policy and multiple new funding resources increasingly offer a path to sustainable implementation of motivational incentives in routine care. \n\n\n\nAgenda: \n\n\n\n9:00 am Welcome\, Introductions\, Learning Objectives9:15 am Rationale: Why CM? Why Now? What is It?9:40 am Evidence: The Challenge & the Promise10:00 am BREAK – 15 min.10:15 am CM Best Practices\, Limits\, Myths & Truths10:35 am Strategies for Implementation: Technology11:00 am CM + Tech: Implementation & Response11:15 am BREAK – 15 min.11:30 am CM Integrity & Funding11:50 am Q&A12:10 pm Implementation Discussion: How Could Your Program Begin CM?12:30 pm Adjourn \n\n\n\nLearning Objectives: \n\n\n\nAttendees will be able to: \n\n\n\n1. Describe the research foundation for enhancing treatment outcomes in patients with substance use disorders using contingency management. \n\n\n\n2. Explain the obstacles that have prevented wide-spread adoption of contingency management in routine care. \n\n\n\n3. Analyze the utility of various new technologies that have been proposed and implemented to overcome the obstacles to adoption of contingency management. \n\n\n\n3 Credits: NAADAC CU’s are approved \n\n\n\nSocial Worker CE’s\, Allied MH CE’s and Psychologists CE’s pending
URL:https://vapavt.org/training/enhancing-motivation-mat-adherence-retention-with-routine-use-of-contingency-management/
LOCATION:Vermont
ATTACH;FMTTYPE=image/jpeg:https://vapavt.org/wp-content/uploads/2023/01/Picture-dg.jpg
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DTSTART;TZID=America/New_York:20230213T090000
DTEND;TZID=America/New_York:20230213T123000
DTSTAMP:20260410T052021
CREATED:20230103T121515Z
LAST-MODIFIED:20230123T124642Z
UID:1550-1676278800-1676291400@vapavt.org
SUMMARY:Substance Use Disorders: Matching to the Right Level of Care
DESCRIPTION:Registration deadline:  2/6/2023 \n\n\n\n\nREGisTER\n\n\n\n\n \n\n\n\nTrainer:  David Gastfriend M.D.\, DFASAM                                                \n\n\n\nDr. Gastfriend is an addiction psychiatrist. At Harvard Medical School\, he directed addiction research at Massachusetts General Hospital and was an investigator in the NIDA Cocaine Collaborative Study\, NIAAA’s COMBINE Study and NIDA’s Clinical Trials Network. As Vice President at Alkermes\, Inc.\, he directed scientific publications on Vivitrol in clinical\, criminal justice and health economics research.His research led most states to endorse the American Society of Addiction Medicine (ASAM) Criteria. His 150 scientific publications include the books The ASAM Criteria and Addiction Treatment Matching. His ASAM CONTINUUM – The ASAM Criteria Decision Engine® and ASAM’s CO-Triage® tools are being adopted nationwide. \n\n\n\nIn 2016\, he co-founded DynamiCare Health\, a nationally-scalable technology for Contingency Management and predictive analytics\, winning awards from Harvard Business School\, the Commonwealth of Massachusetts\, the Governor of Ohio\, and the New York Times. He has consulted to governments in Belgium\, China\, Iceland\, Israel\, Norway\, Russia and the U.S. \n\n\n\nDescription: \n\n\n\nThe goals of evidence-based standards in assessment and placement criteria in treating substance use disorders include: 1) comprehensive\, patient-centric evaluation of patients’ needs\, strengths and resources; 2) ensuring reliability through standards across providers and systems; and 3) achieving predictive validity\, i.e.\, obtaining the best outcome for patients using the least intensive and restrictive services and settings. \n\n\n\nIn the 1980s\, the American Society of Addiction Medicine began to define a national set of criteria that provides results-based care in the treatment of addiction. Today\, The ASAM Criteria are the most widely used set of standards in the United States for placement\, continued stay and transfer/discharge of patients with addiction and co-occurring conditions. Care needs are divided into six areas\, called Dimensions; treatment types are parsed into multiple intensities and specialty needs. With a computer-guided structured interview and clinical decision-assistance algorithm\, investigators have demonstrated feasibility\, inter-rater reliability\, and predictive validity. With over 5\,000 providers throughout the U.S. having conducted over 225\,000 assessments\, matching patients to care using standardized\, evidence-based assessment and decision criteria appears to be feasible for broad public-sector implementation in routine care. \n\n\n\nAgenda:  \n\n\n\n9:00 am Welcome\, Introductions\, Learning Objectives9:15 am Rationale: Why Treatment Matching? Why Now?9:30 am Guiding Principles of Service Specifications & Multidimensional Assessment9:45 am Levels of Care & Their Distinctions10:00 am BREAK – 15 min.10:15 am Evidence for the Validity of Matching with the ASAM Criteria10:35 am Using Decision Rules for Objective\, Standardized Placement: 2 Cases11:00 am Tools for Advancing Practice11:15 am BREAK – 15 min.11:30 am Some Finer Points of Semi-Structured Interviewing11:50 am Q&A12:10 pm Implementation Discussion: What’s the Next Step for Your Program?12:30 pm Adjourn \n\n\n\nLearning Objectives: \n\n\n\nAttendees will be able to: \n\n\n\n 1. Contrast usual care approaches with the rationale for standardized multidimensional assessment and placement according to evidence-based decision criteria. \n\n\n\n2. Describe the six-dimensional model of assessment using the ASAM Criteria. \n\n\n\n3. Implement the principles of utilizing the least intensive and restrictive treatment setting that provides effective care for a given patient’s needs and strengths. \n\n\n\n3 Credits: NAADAC CU’s are approved \n\n\n\nSocial Worker CE’s\, Allied MH CE’s and Psychologists CE’s pending
URL:https://vapavt.org/training/substance-use-disorders-matching-to-the-right-level-of-care/
LOCATION:Vermont
ATTACH;FMTTYPE=image/jpeg:https://vapavt.org/wp-content/uploads/2023/01/Picture-dg.jpg
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