Clinical trial · Interventional
Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this clinical trial is to assess whether messages generated by a large language model (LLM), including both static and conversational formats, can increase colorectal cancer (CRC) screening intentions among U.S. adults aged 45-75 who have never completed CRC screening. The main questions it aims to answer are: Do personalized, AI-generated messages increase the self-reported likelihood of completing a stool-based CRC screening test within 12 months? Do they also increase intent to undergo colonoscopy screening within 12 months? Researchers will compare four groups: (1) no message control, (2) expert-written patient education materials, (3) a single AI-generated persuasive message, and (4) a motivational interviewing-style AI chatbot. These comparisons will help assess whether a conversational format offers added benefit over static AI or expert-generated content. Participants will: Be randomly assigned to one of the four study arms Spend at least 3 minutes reading or interacting with their assigned material Complete pre- and post-intervention surveys assessing intent to receive CRC screening Receive messages tailored to their self-reported demographics, including age, political ideology, gender, education, community setting (urban, rural, suburb), self-reported health, and the last time they saw their PCP
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colorectal Cancer Control and Prevention | — | UNRESOLVED | — |
Interventions
Interventions (3)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| AI Chatbot | Behavioral | — | UNRESOLVED |
| Expert-Written Patient Materials | Behavioral | — | UNRESOLVED |
| single GPT generated message | Behavioral | — | UNRESOLVED |
Design
Arms and outcomes
Arms (4)
- type
- EXPERIMENTAL
- label
- AI Motivational Interviewing Chatbot
- description
- The motivational interviewing chatbot refers to a GPT-4.1 based chatbot that has been instructed to follow motivational interviewing principals to persuade participants to get screened for CRC.
- interventionNames
- Behavioral: AI Chatbot
- type
- EXPERIMENTAL
- label
- single GPT generated message
- description
- The single GPT generated message is a single \~640 word persuasive message generated by GPT-4.1 where GPT-4.1 is provided with the same self-reported demographics.
- interventionNames
- Behavioral: single GPT generated message
- type
- ACTIVE_COMPARATOR
- label
- CRC JAMA patient page
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 45 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: * Adults aged 45 to 75 years * Currently residing in the United States * Self-reported no prior colorectal cancer screening (or unsure if screened) * Able to read and understand English * Consent to participate in a behavioral research study Exclusion Criteria: * Previous colonoscopy, stool test, sigmoidoscopy, or CT colonography * Failure to pass pre- or post-intervention attention checks * Identified as non-human respondents by reCAPTCHA or other automated bot detection * Completion time significantly shorter than the median, indicating inattentiveness
References
Publications (0)
Data not yet available