Smart Symptom Tracking App for Colorectal Cancer
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial tests a new app called Smart Symptom Tracking ALEX, designed to help young adults monitor symptoms related to colorectal cancer. The app aims to simplify and improve the accuracy of tracking gastrointestinal (GI) symptoms compared to traditional paper logs. Participants will use either the app or paper logs for four weeks to determine which method better facilitates symptom communication. This trial suits adults aged 18-44 who are concerned about their GI health and can commit to a month-long tracking routine. As an unphased trial, it offers a unique opportunity to contribute to innovative research that could enhance symptom tracking for young adults.
Do I have to stop taking my current medications for the trial?
The trial information does not specify whether you need to stop taking your current medications.
What prior data suggests that the Smart Symptom Tracking ALEX app is safe for tracking GI symptoms?
Research has shown that the Smart Symptom Tracking ALEX app is generally safe for users. Similar health apps have been used without major safety issues. Historically, people have used these kinds of apps without significant problems. These apps help users track symptoms and improve communication with their doctors. Reports of serious side effects are absent, and the apps are designed to be user-friendly and helpful. This suggests the ALEX app is likely safe for young adults who want to track their gastrointestinal health symptoms.12345
Why are researchers excited about this trial?
Researchers are excited about the Smart Symptom Tracking ALEX app for colorectal cancer because it offers a tech-savvy, user-friendly way to monitor symptoms. Unlike traditional methods like paper logs, this app provides real-time tracking and sends automated reminders to help patients stay on top of their symptom management. It's designed to improve patients' engagement and potentially enhance communication with healthcare providers, leading to more personalized and timely care. This digital approach represents a shift towards integrating technology into daily health management, which could make a significant difference in patient outcomes.
What evidence suggests that the Smart Symptom Tracking ALEX app is effective for monitoring GI symptoms in young adults?
Research has shown that digital health tools, such as the Smart Symptom Tracking ALEX app, can effectively track symptoms in people with colorectal cancer. In this trial, participants will either use the Smart Symptom Tracking ALEX app or complete paper logs for symptom tracking. One study found that apps for symptom tracking make it easier for patients to report and manage their symptoms, potentially improving their care. Another study indicated that these digital tools encourage patients to take a more active role in their care and provide personalized follow-up. Additionally, tracking symptoms reported by patients is linked to better overall cancer care. These findings suggest that the Smart Symptom Tracking ALEX app could be a valuable tool for young adults to monitor and share their gastrointestinal symptoms.12346
Who Is on the Research Team?
Janice Krieger, PhD
Principal Investigator
Mayo Clinic
Are You a Good Fit for This Trial?
This trial is for young adults who are concerned about their gastrointestinal health, especially those at risk for or with symptoms related to colorectal cancer. Participants should be able to use a smartphone app and track their GI symptoms.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants engage with the Smart Symptom Tracking ALEX app or complete paper logs daily and receive reminders weekly for 4 weeks
Follow-up
Participants are monitored for engagement metrics, symptom-tracking frequency, and communication readiness
What Are the Treatments Tested in This Trial?
Interventions
- Smart Symptom Tracking ALEX application
Trial Overview
The study compares the Smart Symptom Tracking ALEX app—which uses AI to help users monitor and report GI symptoms—with standard paper-based symptom tracking methods in young adults. The goal is to see if the app improves symptom reporting and communication.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
Participants engage with the Smart Symptom Tracking ALEX app daily and receive reminders weekly for 4 weeks.
Participants complete paper logs daily and receive reminders weekly for 4 weeks.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Mayo Clinic
Lead Sponsor
Citations
Study Details | NCT07618273 | Smart Symptom Tracking ...
This clinical trial compares the impact of the Smart Symptom Tracking ALEX application (app) to standard symptom-tracking practices in tracking ...
2.
ctv.veeva.com
ctv.veeva.com/study/smart-symptom-tracking-alex-application-for-tracking-and-monitoring-gastrointestinal-health-smart-hSmart Symptom Tracking ALEX Application for Tracking and ...
This clinical trial compares the impact of the Smart Symptom Tracking ALEX application (app) to standard symptom-tracking practices in ...
A Smartphone Remote Monitoring App to Follow Up ... - PMC
In this study, we addressed the required features for apps designed to follow up colorectal cancer patients based on survivors' and clinical experts' views.
Apply for trial: Smart Symptom Tracking ALEX Application ...
This clinical trial compares the impact of the Smart Symptom Tracking ALEX application (app) to standard symptom-tracking practices in tracking and monitoring ...
Evaluation of Mobile Health Applications to Track Patient- ...
Apps were included if they incorporated a symptom tracking function that could allow patients with cancer to record symptoms and PROs. Apps were evaluated using ...
6.
linkedin.com
linkedin.com/posts/alexgelvezon_research-cancerprevention-colorectalcancer-activity-7402768307642368001-aVMoColorectal Cancer Prevention Study Published in ...
Symptom-checker platforms (e.g., Ada Health) use machine learning to provide users with preliminary assessments and guidance, helping to ease ER ...
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