Digital Health Intervention

The goal of this clinical trial is to learn if a 12-week digitally supported, multimodal home rehabilitation program using the medical application Akina is as effective compared to routine care regarding functional independence in older adults undergoing hip surgery. How is this multimodal home rehabilitation program received by patients? Is this multimodal home program at least as effective in terms of functional indpendence, muscle status, mobility and quality of life compared to routine care? Researchers will compare the multimodal rehabilitation program using the application Akina to routine care to see if the program works to treat patients after hip surgery. Participants will: Undergo the rehab program at home or receive routine care (outpatient physiotherapy) for 12 weeks Visit the clinic after 6 and 12 weeks

The goal of this clinical trial is to develop and test an app designed to reduce suicide risk and improve emotional well-being in adolescents. The study will test if the app's daily check ins and recommended mood boosting skills will improve the adolescent's overall mood and suicidality. The main question it aims to answer is: • Is the app practical and acceptable to use daily? In the study, adolescents will: * Participate in a focus group with other adolescents and provide feedback on the app itself (design, ease of use, etc.). * Complete surveys and assessments on their mood, thoughts, and experiences. * Complete assessments about their app experience. In the study, the legal guardian of the adolescent will: * Participate in a focus group with other adolescents and provide feedback on the app itself (design, ease of use, etc.). * Complete assessments about their app experience.

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.

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.