Alcohol Risk Messages for Cancer Survivors
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to understand how different types of messages can influence drinking habits among cancer survivors. Researchers are testing messages that highlight potential benefits ("gain-framed") and risks ("loss-framed") of alcohol use. Participants will view messages in various forms, such as plain text, AI-developed neutral pictorial messages, and AI-developed graphic pictorial messages, during a brief online session. This trial suits U.S. residents who currently consume alcohol and have survived cancers like mouth, throat, or breast cancer. As an unphased trial, it offers a unique opportunity to contribute to research that could enhance health communication strategies for cancer survivors.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications.
What prior data suggests that these AI-developed messages are safe for cancer survivors?
Research has shown that AI-created messages, whether they include pictures or just text, are generally safe to use. These messages aim to inform people about the risks of drinking alcohol, especially for cancer survivors. So far, no negative effects have been reported from reading these messages. In other studies, people reacted to health messages about alcohol and cancer without any safety issues. This suggests that these AI-created messages are well-received. The goal is to share important health information without posing any risk to participants.12345
Why are researchers excited about this trial?
Researchers are excited about this trial because it explores how different types of messages can influence cancer survivors' perceptions of alcohol-related cancer risks. Unlike traditional approaches that might rely on general awareness campaigns, this trial uses AI-developed pictorial and text-only messages, offering personalized messages with varying levels of intensity. The innovative use of gain-framed and loss-framed messages, each delivered with text, neutral images, or graphic images, could uncover how subtle differences in message presentation can impact behavior and understanding, potentially leading to more effective health communication strategies.
What evidence suggests that this trial's treatments could be effective for addressing drinking among cancer survivors?
Research has shown that AI-generated messages can help people understand the risks of drinking alcohol and its link to cancer. This trial will test two types of messages: gain-framed and loss-framed. Each type will appear in three formats: text-only, neutral image, and graphic image. Studies have found that pictures in health messages can simplify and enhance the recall of complex information. Early results suggest that messages focusing on either the benefits of reducing alcohol or the risks of drinking can alter drinking habits among cancer survivors. AI-created messages, whether using text, simple images, or detailed pictures, aim to communicate these risks clearly and effectively. Overall, these strategies are designed to encourage healthier behaviors by making the risks more relatable and easier to understand.678910
Who Is on the Research Team?
Taghrid Asfar, MD, MSPH
Principal Investigator
University of Miami
Are You a Good Fit for This Trial?
This trial is for English-speaking U.S. residents aged 21 or older who have been diagnosed with certain cancers (mouth, throat, larynx, liver, colon, rectum, breast) and currently consume alcohol (at least one drink in the past month).Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants are exposed to gain-framed and loss-framed alcohol-cancer risk messages in a single 15-minute online session
Follow-up
Participants' changes in alcohol-cancer harm perception, intention to reduce alcohol consumption, and commitment to a limited drinking goal are assessed
What Are the Treatments Tested in This Trial?
Interventions
- AI-developed graphic pictorial messages
- AI-developed Neutral pictorial messages
- Text-only messages
Trial Overview
The study tests different types of messages about alcohol and cancer risk: text-only messages versus AI-created neutral or graphic pictorial messages. It aims to see which framing influences drinking behavior among cancer survivors.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
The study will test in an online 15 minutes single session, four loss-framed alcohol-cancer risk messages. Each message will be viewed in three intensity levels (text-only, neutral image, and graphic image), yielding 12 total message stimuli.
The study will test in an online 15 minutes single session, four gain-framed alcohol-cancer risk messages. Each message will be viewed in three intensity levels (text-only, neutral image, and graphic image), yielding 12 total message stimuli.
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Miami
Lead Sponsor
Citations
Testing Alcohol Cancer Risk Messages
Each message will be developed at three intensity levels (text-only, neutral image, and graphic image), yielding 24 total message stimuli.
3c and d Flashcards
Why are graphics important in presenting public health data? Graphics help communicate information effectively and can enhance understanding of complex data.
Harnessing the power of AI innovation to inspire health ...
Conclusions: AI-generated messages can effectively raise awareness about alcohol-related cancer risks and promote healthier drinking habits.
Evaluation of Cancer Survivors' Experience of Using AI-Based ...
We asked the participants about their perceptions regarding AI chatbot acceptability and comfort level; trust and adherence; and concerns, ...
Exploring responses to differing message content of ...
In particular, our research aims to explore consumer responses to alcohol warning labels to shed light on the following three research questions ...
Alcohol Risk Messages for Cancer Survivors
This trial is for English-speaking U.S. residents aged 21 or older who have been diagnosed with certain cancers (mouth, throat, larynx, liver, colon, rectum, ...
“This needs to be told to everyone”: Content analysis of ... - PMC
Alcohol consumption increases breast cancer risk. We evaluated the responses of 748 United States female participants ages 21–29 to health ...
This needs to be told to everyone - Research journals - PLOS
... messages about alcohol consumption and breast cancer risk. Allison Anbari, Zachary Massey, Abigail Adediran, Na Wang, LaRissa Lawrie, Priscilla Martinez ...
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michiganmedicine.org
michiganmedicine.org/health-lab/could-ai-help-doctors-spot-risky-drinking-habitsCould AI help doctors spot risky drinking habits?
Alcohol use disorder and risky alcohol drinking habits are important for primary care providers to know about and address with patients; ...
10.
ihpi.umich.edu
ihpi.umich.edu/news-events/news/could-ai-help-primary-care-clinics-spot-risky-drinking-habitsCould AI help primary care clinics spot risky drinking habits?
Having a natural language processing tool scan the full text of health records identified more potential cases of unhealthy alcohol use.
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