Large Language Models for Individualized Psychoeducational Tools for Psychosis: A cross-sectional study
Yilanli, M.; McKay, I.; Jackson, D. I.; Sezgin, E.
Show abstract
ImportanceIn mental healthcare, the potential of Large Language Models (LLMs) to enhance psychoeducation is a burgeoning field. This study explored the potential of ChatGPT as an individualized psychoeducational support tool specifically for psychosis education. ObjectiveThe study aims to evaluate psychosis-related questions to provide accurate, clear, and clinically relevant individualized information for patients and caregivers. DesignThis cross-sectional study uses a qualitative analysis design. The researchers specifically employed a question-answering system (GPT-4 via ChatGPT) to generate responses to common questions about psychosis. Experts in the field then evaluated these responses to assess their quality for use in a clinical setting. Primary OutcomeResearchers presented ChatGPT with 20 common questions frequently asked by patients caregivers and relatives. Two experts in psychosis then assessed the quality of the responses using six criteria: accuracy (1-3), clarity (1-3), inclusivity (1-3), completeness (0-1), clinical utility (1-5) and an overall score (1-4). ResultsThe evaluation yielded positive results overall. Responses were rated as accurate (M{+/-}SD= 2.89{+/-}0.22) and clear (mean score of 2.93{+/-}0.18). There was potential for improvement in terms of inclusivity (mean score of 2.30{+/-}0.41), suggesting a need to incorporate more diverse perspectives. Completeness received high ratings (mean score of 0.93{+/-}0.18), indicating responses addressed all aspects of the questions. Most importantly, the responses were deemed clinically useful (mean score of 4.35{+/-}0.52). ConclusionsIn summary, this study underscores the significant promise of ChatGPT as a psychoeducational tool for patients with psychosis, their relatives, and their caregivers. The experts findings affirm that the information delivered by ChatGPT is not only accurate and clinically relevant but also conveyed conversationally, enhancing its accessibility and usability. The initial performance of ChatGPT as a psychoeducational tool in the context of psychosis education is undeniably positive.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evidence for feasibility of mobile health and social media-based interventions for early psychosis and clinical high risk 94%
- Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered Clinical Decision Support System: A Longitudinal Feasibility Study 93%
- Development and use analysis of ‘gestioemocional.cat’, a web app for promoting emotional self-care and access to professional mental health resources during the covid-19 pandemic 92%
Similar papers in this journal
- Applications of Large Language Models in Psychiatry: A Systematic Review 96%
- Attitude towards Mental Help-Seeking, Motivation, and Economic Resources in Connection with Positive, Negative, and General Psychopathological Symptoms of Schizophrenia: A Pilot Study of a Psychoeducation Program 93%
- Understanding Psychiatric Illness Through Natural Language Processing (UNDERPIN): Rationale, Design, and Methodology 93%
Similar papers in this journal
- The Benefits and Harms of Open Notes in Mental Health: A Delphi Survey of International Experts 94%
- Shared decision-making interventions in the choice of antipsychotic prescription in people living with psychosis (SHAPE): protocol for a realist review 94%
- Psychotherapies and Psychological Support for Individuals Facing Psychological Distress during the COVID-19 Pandemic: A Scoping Review 93%
Similar papers in this journal
- Assessment of machine learning algorithms in national data to classify the risk of self-harm among young adults in hospital: a retrospective study 92%
- Completion of electronic nursing documentation of inpatient admission assessment: insights from Australian metropolitan hospitals 88%
- A Deep Learning Method to Detect Opioid Prescription and Opioid Use Disorder from Electronic Health Records 88%
Similar papers in this journal
- The development of a World Health Organization transdiagnostic chatbot intervention for distressed adolescents and young adults 92%
- Listening to mental health crisis needs at scale: using Natural Language Processing to understand and evaluate a mental health crisis text messaging service 91%
- Precision Digital Intervention for Depression Based on Social Rhythm Principles Adds Significantly to Outpatient Treatment 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.