AI-Integrated Emotional Granularity Training for Resilience and Quality of Life in Colorectal Cancer Survivors
NCT07611071 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 54
Last updated 2026-05-28
Summary
The goal of this clinical trial is to evaluate an AI-integrated Emotional Granularity Growth intervention (AI-EGG) designed to enhance resilience and improve quality of life in young and middle-aged colorectal cancer (CRC) survivors. Emotional granularity refers to the ability to clearly identify and differentiate subtle emotional experiences, which may help individuals regulate emotions more effectively and build resilience after cancer treatment.
The main questions it aims to answer are:
* Does the AI-EGG intervention improve resilience in CRC survivors compared with routine psychological care?
* Does the intervention improve emotional granularity, emotion regulation ability, and quality of life?
* Is the AI-EGG intervention feasible and acceptable for young and middle-aged CRC survivors?
Researchers will compare the AI-EGG intervention group to a control group receiving routine psychological care and standard educational materials to see whether the intervention leads to better psychological outcomes.
Participants will:
* Complete baseline assessments measuring emotional granularity, emotion regulation, resilience, and quality of life
* Be randomly assigned to either the intervention group or the control group
* In the intervention group, engage in a 4-week AI chatbot-based program focusing on emotional identification, differentiation, regulation, and reflective practice (at least two sessions per week)
* In the control group, receive routine psychological care and standard educational materials
* Complete post-intervention assessments immediately after the 4-week program and again at a 1-month follow-up
* Some participants in the intervention group will be invited to complete interviews about their experience of the program
Conditions
- Colorectal Cancer (CRC)
Interventions
- OTHER
-
Emotional granularity training
The 4-week Emotional Granularity Growth intervention (AI-EGG) will be delivered via a structured mobile-based digital platform based on emotional granularity theory and Gross's Extended Process Model of Emotion Regulation. The intervention includes four modules: (1) emotional identification and labeling, (2) emotional differentiation training, (3) emotion regulation strategy selection, and (4) implementation and reflective adaptation. Each session follows a cycle of emotional diary recording, labeling, feedback on emotional differentiation, and practice of regulation strategies. Participants are encouraged to complete at least two sessions per week. Predefined emotional categories and structured vocabulary support consistent labeling. Culturally adapted scenarios for young and middle-aged CRC survivors are included. Oncology nurses provide support, including clarification of emotional concepts, guidance on real-life application, and referral when needed
- OTHER
-
Routine Care
Routine psychological care will be provided by oncology nurses, along with standard educational materials on symptom management and basic emotional coping strategies consistent with clinical guidelines. Participants will also complete the online questionnaires for outcome assessment.
Sponsors & Collaborators
-
The First Affiliated Hospital of Soochow University
collaborator OTHER -
Second Affiliated Hospital of Soochow University
collaborator OTHER -
Kunshan First People's Hospital Affiliated to Jiangsu University
collaborator OTHER -
The Hong Kong Polytechnic University
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 60 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-06-01
- Primary Completion
- 2026-10-01
- Completion
- 2026-12-01
Countries
- China
Study Locations
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