Browsing by Author "Miech, E. J."

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    Factors that distinguish opioid withdrawal during induction with buprenorphine microdosing: a configurational analysis
    (Springer, 2022-10-04) Adams , K. K.; Miech, E. J.; Sobieraj, D. M.; Emergency Medicine, School of Medicine
    Background: Novel buprenorphine dosing strategies have emerged with an aim to transition patients from opioid agonists to buprenorphine without prerequisite opioid withdrawal. We applied a configurational approach to a subset of data from our earlier systematic review to answer the following question: when patients received a buprenorphine initiation strategy aimed to eliminate prerequisite withdrawal, what factors consistently distinguished patients that experienced withdrawal during the initiation process from patients that did not? Methods: From the 24 cases identified by our systematic review, we included cases that were treated using buprenorphine microdosing strategies (oral or transdermal), cases with opioid use disorder, and cases that fully transitioned to buprenorphine without continuing the full opioid agonist. Configurational analysis was used to identify combinations of patient and regimen level factors that uniquely distinguished cases experiencing withdrawal during induction. Result: Fourteen cases were included in our analysis, of which 9 experienced opioid withdrawal symptoms. Three factors were involved in explaining both the presence and absence of withdrawal symptoms: history of heroin use, history of methadone use, and duration of overlap between buprenorphine and the full opioid agonist during induction. For the presence of withdrawal symptoms, the addition of a fourth factor "buprenorphine starting dose" resulted in a model with perfect consistency and coverage; for the absence of withdrawal symptoms, the addition of a fourth factor "induction duration" similarly resulted in a model with perfect consistency and 80% coverage. Conclusion: Application of configurational methods allowed synthesis of case reports identified through a systematic review.
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    The protocol-guided rapid evaluation of veterans experiencing new transient neurological symptoms (PREVENT) quality improvement program: rationale and methods
    (BMC, 2019-11-20) Bravata, D. M.; Myers, L. J.; Homoya, B.; Miech, E. J.; Rattray, N. A.; Perkins, A. J.; Zhang, Y.; Ferguson, J.; Myers, J.; Cheatham, A. J.; Murphy, L.; Giacherio, B.; Kumar, M.; Cheng, E.; Levine, D. A.; Sico, J. J.; Ward, M. J.; Damush, T. M.; Medicine, School of Medicine
    Background Transient ischemic attack (TIA) patients are at high risk of recurrent vascular events; timely management can reduce that risk by 70%. The Protocol-guided Rapid Evaluation of Veterans Experiencing New Transient Neurological Symptoms (PREVENT) developed, implemented, and evaluated a TIA quality improvement (QI) intervention aligned with Learning Healthcare System principles. Methods This stepped-wedge trial developed, implemented and evaluated a provider-facing, multi-component intervention to improve TIA care at six facilities. The unit of analysis was the medical center. The intervention was developed based on benchmarking data, staff interviews, literature, and electronic quality measures and included: performance data, clinical protocols, professional education, electronic health record tools, and QI support. The effectiveness outcome was the without-fail rate: the proportion of patients who receive all processes of care for which they are eligible among seven processes. The implementation outcomes were the number of implementation activities completed and final team organization level. The intervention effects on the without-fail rate were analyzed using generalized mixed-effects models with multilevel hierarchical random effects. Mixed methods were used to assess implementation, user satisfaction, and sustainability. Discussion PREVENT advanced three aspects of a Learning Healthcare System. Learning from Data: teams examined and interacted with their performance data to explore hypotheses, plan QI activities, and evaluate change over time. Learning from Each Other: Teams participated in monthly virtual collaborative calls. Sharing Best Practices: Teams shared tools and best practices. The approach used to design and implement PREVENT may be generalizable to other clinical conditions where time-sensitive care spans clinical settings and medical disciplines.