Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy
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Abstract (arXiv)
In psychotherapy, therapeutic outcome assessment, or treatment outcome evaluation, is essential to mental health care by systematically evaluating therapeutic processes and outcomes. Existing large language model approaches often focus on therapist-centered, single-session evaluations, neglecting the client's subjective experience and longitudinal progress across multiple sessions. To address these limitations, we propose IPAEval, a client-Informed Psychological Assessment-based Evaluation framework, which automates treatment outcome evaluations from the client's perspective using clinical interviews. It integrates cross-session client-contextual assessment and session-focused client-dynamics assessment for a comprehensive understanding of therapeutic progress. Specifically, IPAEval employs a two-stage prompt scheme that maps client information onto psychometric test items, enabling interpretable and structured psychological assessments. Experiments on our new TheraPhase dataset, comprising 400 paired initial and completion stage client records, demonstrate that IPAEval effectively tracks symptom severity and treatment outcomes over multiple sessions, outperforming baseline approaches across both closed-source and open-source models, and validating the benefits of items-aware reasoning mechanisms.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 18 of its 54 references that are in the map. First posted on arXiv 8 Oct 2024.
Builds on
18 of 54 references.
References · 18
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6 more
- 2023The Capability of Large Language Models to Measure Psychiatric Functioningcited by 26
- 2024Towards a Client-Centered Assessment of LLM Therapists by Client Simulationcited by 24
- 2024Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysiscited by 12
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Built on by
Citing papers per year: 2024: 1; 2025: 2; 2026: 2.
5 papers.
- 2024Detecting Conversational Mental Manipulation with Intent-Aware Promptingcited by 16
- 2025A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directionscited by 12
- 2025Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluationcited by 7
- 2026LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialoguescited by 0
- 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Healthcited by 0
- 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health21 Sep 2026
- 2026LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues3 Sep 2026
- 2025Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluation25 Jul 2025
- 2025A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions16 Feb 2025
- 2024Detecting Conversational Mental Manipulation with Intent-Aware Prompting11 Dec 2024