Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)
Overview
This paper evaluates the use of natural language processing and machine learning to automate the monitoring of coach implementation fidelity in guided digital cognitive-behavioral therapy. The study analyzes text-based messages from coaches supporting users with anxiety, depression, or eating disorders, comparing algorithmic predictions against human coder ratings. It reports that sentiment analysis and specific ML models achieved acceptable performance metrics in predicting fidelity scores.
- ID
2c0eb0f6bbad4bef- Source org
- PubMed Central
- Author
- Nur Hani Zainal (National University of Singapore), Regina Eckhardt (Technical University of Munich), Gavin N. Rackoff (Pennsylvania State University), Ellen E. Fitzsimmons‐Craft (Washington University in St. Louis), Elsa E. Rojas-Ashe (Stanford University), Craig Barr Taylor (Palo Alto University), Burkhardt Funk (Leuphana University of Lüneburg), Daniel Eisenberg (University of California, Los Angeles), Denise E. Wilfley (Washington University in St. Louis), Michelle G. Newman (Pennsylvania State University)
- Published
- 2025-01-01
- OA status
- hybrid
- DOI
- 10.1017/S0033291725000340
- PMID
- Not recorded
- PMCID
- Not recorded
- Citations
- 5
Tags
Verification
- identityok via crossref · score 1 · checked_at unknown
- legitimacykeep via unknown · score 0.95 · checked_at unknown
- linkok via http-check · 2026-07-21T15:52:31.592259+00:00
Cite this entry
BibTeX
@article{allodium:2c0eb0f6bbad4bef,
title = {Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)},
author = {Nur Hani Zainal and Regina Eckhardt and Gavin N. Rackoff and Ellen E. Fitzsimmons‐Craft and Elsa E. Rojas-Ashe and Craig Barr Taylor and Burkhardt Funk and Daniel Eisenberg and Denise E. Wilfley and Michelle G. Newman},
year = {2025},
journal = {PubMed Central},
doi = {10.1017/S0033291725000340},
url = {https://doi.org/10.1017/S0033291725000340}
}RIS
TY - JOUR TI - Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT) AU - Zainal, Nur Hani AU - Eckhardt, Regina AU - Rackoff, Gavin N. AU - Fitzsimmons‐Craft, Ellen E. AU - Rojas-Ashe, Elsa E. AU - Taylor, Craig Barr AU - Funk, Burkhardt AU - Eisenberg, Daniel AU - Wilfley, Denise E. AU - Newman, Michelle G. PY - 2025 PB - PubMed Central DO - 10.1017/S0033291725000340 UR - https://doi.org/10.1017/S0033291725000340 ER -
APA
Zainal, N. H., Eckhardt, R., Rackoff, G. N., Fitzsimmons‐Craft, E. E., Rojas-Ashe, E. E., Taylor, C. B., Funk, B., Eisenberg, D., Wilfley, D. E., & Newman, M. G. (2025). Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT). PubMed Central. https://doi.org/10.1017/S0033291725000340
Related entries
- Effect of AI-Based Natural Language Feedback on Engagement and Clinical Outcomes in Fully Self-Guided Internet-Based Cognitive Behavioral Therapy for Depression: 3-Arm Randomized Controlled Trial
- Clinical Efficacy, Therapeutic Mechanisms, and Implementation Features of Cognitive Behavioral Therapy–Based Chatbots for Depression and Anxiety: Narrative Review
- The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review
- Increasing engagement with cognitive-behavioral therapy (CBT) using generative AI: a randomized controlled trial (RCT)
- Efficacy, User Engagement, and Acceptability of Cognitive Behavioral Therapy–Oriented Psychological Chatbots for Adults With Depressive and/or Anxiety Symptoms: Systematic Review and Meta-Analysis of Randomized Controlled Trials
- Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study
- Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial
- An Embodied Conversational Agent for Unguided Internet-Based Cognitive Behavior Therapy in Preventative Mental Health: Feasibility and Acceptability Pilot Trial
- Improving adherence to an online intervention for low mood by a virtual coach or personalized motivational feedback messages: A three-arm pilot randomized controlled trial
- Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis