Effects of Large LangUage Model-Based AI Agent-Assisted Patient-Centered Support on ANxiety, Illness PerceptiOn, and Sleep QUality in Patients With Newly Diagnosed Metastatic Hormone-Sensitive Prostate Cancer: A Multicenter, Open-Label, Randomized Controlled Trial
Effects of Large LangUage Model-Based AI Agent-Assisted Patient-Centered Support on ANxiety, Illness PerceptiOn, and Sleep QUality in Patients With Newly Diagnosed Metastatic Hormone-Sensitive Prostate Cancer: A Multicenter, Open-Label, Randomized Controlled Trial
The purpose of this multicenter, open-label, randomized controlled trial is to evaluate whether patient-centered support delivered through a large language model (LLM)-based artificial intelligence (AI) agent reduces anxiety in patients with newly diagnosed metastatic hormone-sensitive prostate cancer (mHSPC). Participants access the AI agent through a WeChat Mini Program-based platform. The study will also assess the effects of this intervention on illness perception, sleep quality, and patient satisfaction. Participants will be randomly assigned in a 1:1 ratio to either the intervention group or the control group. Participants in the intervention group will have access to the AI agent-enabled patient support platform throughout the 4-week study period. Participants in the control group will use the same platform without access to the AI agent during the first 2 weeks and will then receive access to the AI agent for the subsequent 2 weeks. Both groups will receive standard-of-care medical treatment throughout the study. The primary objective is to compare changes from baseline in anxiety at 2 weeks between the two groups. Anxiety will be assessed using the Generalized Anxiety Disorder-7 (GAD-7) scale. Secondary outcomes include illness perception, sleep quality, and patient satisfaction. Exploratory outcomes include the change from baseline in the GAD-7 total score at 4 weeks and the accuracy of responses generated by the AI agent to participants' questions.
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