ArticleJournal of counseling psychology2016
"It sounds like...": A natural language processing approach to detecting counselor reflections in motivational interviewing.
Article in Journal of counseling psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Natural language processing for mental health interventions: a systematic review and research framework.Translational psychiatry · 2023Pooled it
- Trial
- Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT).Psychological medicine · 2025Trial
- Scoping review on natural language processing applications in counselling and psychotherapy.British journal of psychology (London, England : 1953) · 2026Article
- Development and validation of a cognitive behavioral therapy for psychosis online training with automated feedback.Psychotherapy (Chicago, Ill.) · 2025Article
- Association of machine-learning-rated supportive counseling skills with psychotherapy outcome.Journal of consulting and clinical psychology · 2025Article
- Machine Learning-Based Evaluation of Suicide Risk Assessment in Crisis Counseling Calls.Psychiatric services (Washington, D.C.) · 2024Article
- The impact of alcohol on affiliative verbal behavior: A systematic review and meta-analysis.Alcohol, clinical & experimental research · 2024Review
- A scoping review of empathy recognition in text using natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?Addiction science & clinical practice · 2024Article
- Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning.JAMA network open · 2024Article
- You never know what you are going to get: Large-scale assessment of therapists' supportive counseling skill use.Psychotherapy (Chicago, Ill.) · 2023Article
- Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol.BMC health services research · 2022Article
- Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study.JMIR mental health · 2020Article
- Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using electronic health records.Psychological medicine · 2020Article
- Article
- Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills.Journal of medical Internet research · 2019Article
- Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.Psychotherapy (Chicago, Ill.) · 2019Article
- Developing Machine Learning Models for Behavioral Coding.Journal of pediatric psychology · 2019Article
- Redesigning Implementation Measurement for Monitoring and Quality Improvement in Community Delivery Settings.The journal of primary prevention · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
The dissemination and evaluation of evidence-based behavioral treatments for substance abuse problems rely on the evaluation of counselor interventions. In Motivational Interviewing (MI), a treatment that directs the therapist to utilize a particular linguistic style, proficiency is assessed via behavioral coding-a time consuming, nontechnological approach. Natural language processing techniques have the potential to scale up the evaluation of behavioral treatments such as MI. We present a novel computational approach to assessing components of MI, focusing on 1 specific counselor behavior-reflections, which are believed to be a critical MI ingredient. Using 57 sessions from 3 MI clinical trials, we automatically detected counselor reflections in a maximum entropy Markov modeling framework using the raw linguistic data derived from session transcripts. We achieved 93% recall, 90% specificity, and 73% precision. Results provide insight into the linguistic information used by coders to make ratings and demonstrate the feasibility of new computational approaches to scaling up the evaluation of behavioral treatments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.