Patients undergoing maintenance hemodialysis frequently experience impaired health-related quality of life, anxiety, and difficulties in coping with the long-term demands of treatment. Artificial intelligence (AI)-guided interventions may provide personalized psychological support and promote adaptive coping through tailored relaxation strategies.
This randomized controlled mixed-methods trial evaluates the effectiveness of an AI-guided personalized relaxation intervention delivered through a smartphone application among adults receiving maintenance hemodialysis. Participants are randomly assigned to either an intervention group receiving AI-guided personalized relaxation in addition to routine hemodialysis care or a control group receiving routine care alone. The 12-week intervention includes individualized breathing exercises, mindfulness practices, guided imagery, progressive muscle relaxation, and adaptive feedback generated according to participant characteristics, emotional responses, and engagement patterns.
The primary outcome is health-related quality of life measured using the Kidney Disease Quality of Life-36 (KDQOL-36™). Secondary outcomes include anxiety symptoms measured by the Generalized Anxiety Disorder-7 (GAD-7), coping strategies measured by the Brief COPE Inventory, and user acceptance of the AI-guided intervention. Qualitative interviews are conducted with intervention participants to explore their experiences, perceived benefits, feasibility, and acceptability of the intervention.
The study aims to determine whether AI-guided personalized relaxation can improve quality of life, reduce anxiety, and enhance coping among patients undergoing maintenance hemodialysis while providing insight into the acceptability and feasibility of integrating AI-supported psychosocial interventions into routine dialysis care.