K. Michelle Peavy, Angela Klipsch, Christina S. Soma, Brian Pace, Zac E. Imel, Michael J. Tanana, Sean Soth, Esther Ricardo-Bulis, David C. Atkins
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引用次数: 0
Abstract
The opioid epidemic has resulted in expanded substance use treatment services and strained the clinical workforce serving people with opioid use disorder. Focusing on evidence-based counseling practices like motivational interviewing may be of interest to counselors and their supervisors, but time-intensive adherence tasks like recording and feedback are aspirational in busy community-based opioid treatment programs. The need to improve and systematize clinical training and supervision might be addressed by the growing field of machine learning and natural language-based technology, which can promote counseling skill via self- and supervisor-monitoring of counseling session recordings. Counselors in an opioid treatment program were provided with an opportunity to use an artificial intelligence based, HIPAA compliant recording and supervision platform (Lyssn.io) to record counseling sessions. We then conducted four focus groups—two with counselors and two with supervisors—to understand the integration of technology with practice and supervision. Questions centered on the acceptability of the clinical supervision software and its potential in an OTP setting; we conducted a thematic coding of the responses. The clinical supervision software was experienced by counselors and clinical supervisors as beneficial to counselor training, professional development, and clinical supervision. Focus group participants reported that the clinical supervision software could help counselors learn and improve motivational interviewing skills. Counselors said that using the technology highlights the value of counseling encounters (versus paperwork). Clinical supervisors noted that the clinical supervision software could help meet national clinical supervision guidelines and local requirements. Counselors and clinical supervisors alike talked about some of the potential challenges of requiring session recording. Implementing evidence-based counseling practices can help the population served in OTPs; another benefit of focusing on clinical skills is to emphasize and hold up counselors’ roles as worthy. Machine learning technology can have a positive impact on clinical practices among counselors and clinical supervisors in opioid treatment programs, settings whose clinical workforce continues to be challenged by the opioid epidemic. Using technology to focus on clinical skill building may enhance counselors’ and clinical supervisors’ overall experiences in their places of work.
期刊介绍:
Addiction Science & Clinical Practice provides a forum for clinically relevant research and perspectives that contribute to improving the quality of care for people with unhealthy alcohol, tobacco, or other drug use and addictive behaviours across a spectrum of clinical settings.
Addiction Science & Clinical Practice accepts articles of clinical relevance related to the prevention and treatment of unhealthy alcohol, tobacco, and other drug use across the spectrum of clinical settings. Topics of interest address issues related to the following: the spectrum of unhealthy use of alcohol, tobacco, and other drugs among the range of affected persons (e.g., not limited by age, race/ethnicity, gender, or sexual orientation); the array of clinical prevention and treatment practices (from health messages, to identification and early intervention, to more extensive interventions including counseling and pharmacotherapy and other management strategies); and identification and management of medical, psychiatric, social, and other health consequences of substance use.
Addiction Science & Clinical Practice is particularly interested in articles that address how to improve the quality of care for people with unhealthy substance use and related conditions as described in the (US) Institute of Medicine report, Improving the Quality of Healthcare for Mental Health and Substance Use Conditions (Washington, DC: National Academies Press, 2006). Such articles address the quality of care and of health services. Although the journal also welcomes submissions that address these conditions in addiction speciality-treatment settings, the journal is particularly interested in including articles that address unhealthy use outside these settings, including experience with novel models of care and outcomes, and outcomes of research-practice collaborations.
Although Addiction Science & Clinical Practice is generally not an outlet for basic science research, we will accept basic science research manuscripts that have clearly described potential clinical relevance and are accessible to audiences outside a narrow laboratory research field.