AI-empowered Nudge to Improve Colonoscopy Uptake (AINC)
NCT07612436 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1680
Last updated 2026-05-28
Summary
Colorectal cancer (CRC) ranks third in both incidence and mortality among all malignant tumors in China. Studies have shown that early screening can significantly reduce its incidence and mortality. Colonoscopy is the gold standard for CRC screening; however, compliance with colonoscopy among high-risk groups in China is very low. Artificial intelligence (AI)-assisted tools can provide real-time, personalized health education, and nudge strategies can help translate intent into action. This trial aims to evaluate the effectiveness of AI-empowered nudge for improving colonoscopy uptake among high-risk individuals aged 45 to 74 in China. It's a two-arm, pragmatic cluster randomized controlled trial. The main question it aims to answer is whether the AI-enabled personalized health education and nudge strategies improve colonoscopy adherence.
Participants will:
1. Be recruited and allocated into one of two groups according to the assigned clusters. Participants in one group will be invited to receive usual care. In addition to usual care, participants in the other group will receive AI-empowered nudge, featuring an AI chatbot providing real-time personalized responses and a nudge environment with default screening option.
2. Have their colonoscopy status checked at the end of trial.
Conditions
- Colorectal Neoplasms
- Colonoscopy
Interventions
- BEHAVIORAL
-
AI-empowered nudge (AINC) strategy
A digital health education and behavioral nudge intervention. It utilizes an intelligent chatbot to provide real-time, personalized information about colonoscopy and implements a default screening mechanism to facilitate the translation from screening intention to behavior.
- OTHER
-
Usual Care
Usual notification of screening results and opt-in appointment for colonoscopy.
Sponsors & Collaborators
-
Nantong Center for Disease Control and Prevention
collaborator UNKNOWN -
Fudan University
lead OTHER
Principal Investigators
-
Zhiyuan Hou, PhD · Fudan University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 45 Years
- Max Age
- 74 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-05-30
- Primary Completion
- 2026-10-01
- Completion
- 2027-12-31
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