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 purpose of the proposed observational study is to explore the relations between data-driven personalization and equitable health outcomes in a digital health intervention (DHI) for hypertension management. In the current intervention, behavioral reinforcement learning is applied to personalize intervention content to maximize the behavioral outcomes of three target behaviors critical for effective hypertension management: clinical encounters, medication adherence, and self-monitoring of blood pressure (SMBP).
Data-driven Personalization for Inclusive Outreach and Equitable Outcomes in a Digital Health Intervention for Hypertension Management: A Prospective Observational Study
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: Lirio
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.