Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?

Journal: Addiction science & clinical practice
Published Date:

Abstract

BACKGROUND: 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.

Authors

  • K Michelle Peavy
    PRISM, Department of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
  • Angela Klipsch
    Lyssn.Io, Seattle, Washington, USA.
  • Christina S Soma
    Department of Educational Psychology.
  • Brian Pace
    Lyssn, Seattle, WA.
  • Zac E Imel
    University of Utah.
  • Michael J Tanana
    University of Utah.
  • Sean Soth
    Evergreen Treatment Services, Seattle, Washington, USA.
  • Esther Ricardo-Bulis
    Evergreen Treatment Services, Seattle, Washington, USA.
  • David C Atkins
    University of Washington.