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

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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

A randomized clinical trial evaluating the impact of counselor training and patient feedback on substance use disorder patients' sexual risk behavior.

INTRODUCTION: High risk sex-such as sex with multiple partners, condomless sex, or transactional or commercial sex-is a risk factor in individuals with substance use disorders (SUDs). SUD treatment can reduce sexual risk behavior, but interventions to reduce such behavior in this context have not been consistently effective. This study sought to determine if the impact of treatment on sexual risk behavior can be increased. METHODS: In a nested 2 × 2 factorial repeated measures design, we examined outcomes of two interventions: training for counselors in talking to patients about sexual risk; and availability to both counselors and patients of a personalized feedback report based on patient self-report of sexual behavior. Counselors received either a brief, information-based, Basic Training, or a multi-session, skills-based Enhanced Training. Their patients completed an audio-assisted computerized assessment of sexual behavior and received either No Feedback or a Personalized Feedback Report (PFR). Four hundred seventy six patients participated. Patient follow-up occurred 3- and 6-months postbaseline. Primary patient outcome measures were Number of Unsafe Sex Occasions (USO) and whether patients reported talking about sex in counseling sessions (Discussed Sex), both in the past 90 days. Secondary outcomes included Number of Sexual Partners, Sex Under the Influence of Substances, and Perceived Condom Barriers. RESULTS: Patients of Enhanced-condition counselors compared to those of Basic-condition counselors were more likely to report talking about sex with their counselor at 6-month follow-up. Personalized feedback also increased the likelihood of reporting counselor discussions at 6-month follow-up. Neither the training nor the feedback condition affected USO, Number of Partners, or Sex Under the Influence. DISCUSSION: We discuss why these two interventions apparently altered counselor-patient communication about sexual risk behavior without affecting the behavior itself.