AI-empowered Nudge to Improve Colonoscopy Uptake (AINC)

ConditionsColorectal Neoplasms Colonoscopy

Trial statusNot yet recruiting

Trial phaseNot applicable

Trial typeInterventional

Biological sexAll

Age45-74

SponsorFudan University

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Aged 45-74 years;

Test positive on the Colorectal Cancer Risk Assessment Scale and the immunochemical fecal occult blood test;

In good general health, mentally competent;

Provide informed consent.

Disqualifiers

History of colorectal resection;

Previous diagnosis of cancer or currently undergoing any cancer-related treatment;

Underwent a colonoscopy or sigmoidoscopy within the past 5 years;

Contraindications to colonoscopy (e.g. severe cardiac, cerebral, lung diseases, or renal dysfunction).

Trial design

Design model

Parallel

Treatments tested in this trial

AI-empowered nudge (AINC) strategy
Behavioral
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.
Usual Care
Other intervention
Usual notification of screening results and opt-in appointment for colonoscopy.

Treatment groups

1,680 Participants

are divided into 2 treatment groups

Group A: AI-empowered nudge groupExperimental treatment 1 intervention

Group B: Control GroupActive comparator 1 intervention

Trial outcomes

Primary outcomes

Uptake of colonoscopy

Defined as whether the participant completes the colonoscopy. Data will be collected through the Hospital Information System (HIS) using participants' identification.

Time frame