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Tundra lists 3 Digital Health Intervention clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07512037
Burden-Evaluated Active Therapy for AF Using Continuous Wearables BEAT-AF Trial
Traditional AF classification (e.g., paroxysmal, persistent, permanent) relies largely on patient-reported symptoms and intermittent electrocardiographic monitoring, which cannot continuously or objectively reflect disease progression, nor effectively inform optimal intervention timing. Although "AF burden" (i.e., duration of AF episodes) has emerged as a potential marker, its association with clinical outcomes remains inconsistent due to limitations in monitoring methods and its one-dimensional nature. Based on our previous work, investigators developed a five-dimensional AF progression model using photoplethysmography (PPG) signals collected from wearable devices. This model quantifies AF progression across five domains: episode frequency, duration, temporal aggregation, circadian rhythm, and tachycardia burden, enabling continuous and multidimensional assessment. Prior validation has demonstrated high agreement with 24-hour Holter monitoring and effective identification of high-risk patients. The BEAT-AF trial is designed to evaluate the clinical utility of this model in a real-world setting. Specifically, investigators will investigate whether early intervention (e.g., optimization of medical therapy or consideration of catheter ablation) in patients with elevated five-dimensional AF burden (≥4.59%) can reduce symptoms, rhythm/rate-related abnormalities, and AF-related adverse events (such as stroke and heart failure). This study is expected to provide new evidence for dynamic monitoring of AF progression, optimal timing of intervention, and personalized management strategies, ultimately improving patient outcomes.
Gender: All
Ages: 18 Years - Any
Updated: 2026-04-06
NCT07112352
Healthy Ageing: a Feasibility Study to Evaluate Digitally-enabled Ways to Support Healthy Ageing
The goal of this clinical trial is to learn if it is feasibility to conduct a trial of two digitally-enabled interventions that support older adults to adopt healthy behaviours. It will also learn about the safety of this digital intervention. The main questions it aims to answer are * How acceptable and feasible are the trial, intervention and control groups in assessing outcomes * What is the estimated effect of the interventions? Researchers will compare Smart devices with a bespoke 'Healthy Habits' application and three healthy habit coaching and data feedback modules, to a group with smart devices and standard off-the-shelf feedback application, to a control group that will receive an education leaflet to adopt healthy behaviours. Participants will: * Use sensors and the 'Healthy Habits' application for 3 months followed by standard application for 3 months, or sensors and standard application for 6 months, or control * Either home visit or in-centre visit once every 3 months for assessments and online health questionnaires * Complete daily diary of any healthcare use
Gender: All
Ages: 65 Years - Any
Updated: 2026-03-25
NCT07039682
Empowering Knowledge, Self-Testing & Resilience Through Innovative Methods for HIV
The goal of this study is to learn whether a digital tool can help improve HIV knowledge, self-awareness, and testing among adolescents in Yogyakarta, Indonesia. The tool includes online HIV education, a self-assessment for HIV risk, and access to trained peer educators for support. The study will also explore how comfortable and willing adolescents are to use this kind of digital health service. The main questions the study aims to answer are: * Can this digital tool help adolescents better understand HIV and their personal risk? * Will more adolescents be willing to get tested for HIV after using the tool? * What factors affect whether adolescents accept and use digital HIV services? Researchers will compare two groups of high school students: * One group will use the digital tool for 6 weeks * The other group will receive standard HIV education (not through the tool) Participants will: * Answer surveys before and after the 6-week period * Learn about HIV through videos and interactive content * Use the tool to assess their personal HIV risk * Receive support from trained peer educators (online) The researchers hope this study will lead to new ways of using technology to improve HIV prevention and testing for young people.
Gender: All
Ages: 15 Years - 17 Years
Updated: 2025-06-26
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