Browsing by Author "Hu, Lian"

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    Measurement-based care using DSM-5 for opioid use disorder: can we make opioid medication treatment more effective?
    (Addiction (Abingdon, England), 2019-08) Marsden, John; Tai, Betty; Ali, Robert; Hu, Lian; Rush, A John; Volkow, Nora

    Context and purpose

    Measurement-based care (MBC) is an evidence-based health-care practice in which indicators of disease are tracked to inform clinical actions, provide feedback to patients and improve outcomes. The current opioid crisis in multiple countries provides a pressing rationale for adopting a basic MBC approach for opioid use disorder (OUD) using DSM-5 to increase treatment retention and effectiveness.

    Proposal

    To stimulate debate, we propose a basic MBC approach using the 11 symptoms of OUD (DSM-5) to inform the delivery of medications for opioid use disorder (MOUD; including methadone, buprenorphine and naltrexone) and their evaluation in office-based primary care and specialist clinics. Key features of a basic MBC approach for OUD using DSM-5 are described, with an illustration of how clinical actions are guided and outcomes communicated. For core treatment tasks, we propose that craving and drug use response to MOUD should be assessed after 2 weeks, and OUD remission status should be evaluated at 3, 6 and 12 months (and exit from MOUD treatment) and beyond. Each of the 11 DSM-5 symptoms of OUD should be discussed with the patient to develop a case formulation and guide selection of adjunctive psychological interventions, supplemented with information on substance use, and optionally extended with information from other clinical instruments. A patient-reported outcome measure should be recorded and discussed at each remission assessment.

    Conclusions

    MBC can be used to tailor and adapt MOUD treatment to increase engagement, retention and effectiveness. MBC practice principles can help promote patient-centred care in OUD, personalized addiction therapeutics and facilitate communication of outcomes.
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    Response to commentaries.
    (Addiction (Abingdon, England), 2019-08) Marsden, John; Tai, Betty; Ali, Robert; Hu, Lian; Rush, Agustus John; Volkow, Nora D
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    ItemOpen Access
    The national drug abuse treatment clinical trials network data share project: website design, usage, challenges, and future directions.
    (Clinical trials (London, England), 2013-01) Shmueli-Blumberg, Dikla; Hu, Lian; Allen, Colleen; Frasketi, Michael; Wu, Li-Tzy; Vanveldhuisen, Paul
    There are many benefits of data sharing, including the promotion of new research from effective use of existing data, replication of findings through re-analysis of pooled data files, meta-analysis using individual patient data, and reinforcement of open scientific inquiry. A randomized controlled trial is considered as the 'gold standard' for establishing treatment effectiveness, but clinical trial research is very costly, and sharing data is an opportunity to expand the investment of the clinical trial beyond its original goals at minimal costs.We describe the goals, developments, and usage of the Data Share website (http://www.ctndatashare.org) for the National Drug Abuse Treatment Clinical Trials Network (CTN) in the United States, including lessons learned, limitations, and major revisions, and considerations for future directions to improve data sharing.Data management and programming procedures were conducted to produce uniform and Health Insurance Portability and Accountability Act (HIPAA)-compliant de-identified research data files from the completed trials of the CTN for archiving, managing, and sharing on the Data Share website.Since its inception in 2006 and through October 2012, nearly 1700 downloads from 27 clinical trials have been accessed from the Data Share website, with the use increasing over the years. Individuals from 31 countries have downloaded data from the website, and there have been at least 13 publications derived from analyzing data through the public Data Share website.Minimal control over data requests and usage has resulted in little information and lack of control regarding how the data from the website are used. Lack of uniformity in data elements collected across CTN trials has limited cross-study analyses.The Data Share website offers researchers easy access to de-identified data files with the goal to promote additional research and identify new findings from completed CTN studies. To maximize the utility of the website, ongoing collaborative efforts are needed to standardize the core measures used for data collection in the CTN studies with the goal to increase their comparability and to facilitate the ability to pool data files for cross-study analyses.