This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The goal of our pragmatic clinical trial is to compare how well three different strategies might do to reduce risk factors for cardiovascular disease in patients experiencing health disparities. The three different strategies are: 1) text messages, 2) interactive chatbot messages, and 3) chatbot messages with proactive pharmacist support. To measure cardiovascular risk factors, the investigators are using the American Heart Association's Life's Essential 8 (LE8) factors-blood glucose, cholesterol, blood pressure, physical activity, body mass index, diet, and smoking. This study focuses on improving cardiovascular risk factors for individuals facing health disparities, such as ethnic minorities, limited English proficiency, and low-income groups. These groups are more likely to be seriously affected by cardiovascular diseases. Self-management, or an individual's roles in managing their own chronic disease, includes lifestyle changes, medication adherence. Improving patients' self-management has been shown to improve health behaviors, better disease control and improved patient outcomes. The main question this study aims to answer is if one of the strategies (texting, chatbot, or chatbot with pharmacist support) may improve patient self-management and patient outcomes. The investigators will enroll up to 2,100 patients from three health systems that serve large populations experiencing health disparities: Denver Health, Salud Family Health Centers, and STRIDE Community Health Center. The results might help researchers and health care systems find the best ways to involve patients with health disparities to managing their chronic cardiovascular disease.
Using Artificially Intelligent Text Messaging Technology to Improve American Heart Association's Life's Essential 8 Health Behaviors: LE8 Bot + Backup
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Colorado, Denver
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.