eHealth

• Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study
  CONCLUSIONS: Reverting to prepandemic regulations could negatively affect Arkansas, where many live in underserved areas. Our analysis shows that telehealth use remained stable beyond 2020, with psychiatry visits continuing to grow. These findings may guide insurance and policy decisions in Arkansas and other regions facing similar access challenges.
• Technology-Supported Physical Activity and Its Potential as a Tool to Promote Young Women's Physical Activity and Physical Literacy: Systematic Review
  CONCLUSIONS: There was limited evidence that technology-supported PA improved young women's PA or PL. The evidence was limited by poor study quality and a lack of theoretical frameworks. In addition, little information was provided on the designs of the technology used. Future interventions seeking to improve young women's PA and PL should focus on the […]
• Describing the Framework for AI Tool Assessment in Mental Health and Applying It to a Generative AI Obsessive-Compulsive Disorder Platform: Tutorial
  As artificial intelligence (AI) technologies occupy a bigger role in psychiatric and psychological care and become the object of increased research attention, industry investment, and public scrutiny, tools for evaluating their clinical, ethical, and user-centricity standards have become essential. In this paper, we first review the history of rating systems used to evaluate AI mental […]
• Characteristics of Patients Utilizing Telemedicine in Hand and Upper-Extremity Surgery
  CONCLUSIONS: Telemedicine in hand surgery at this single institution is most frequently used for follow-up encounter types in patients living in high ADI communities, far from clinic sites. Low or high ADI did not correlate with seasonal changes in the use of telemedicine, encounter type, or patient demographics. Telemedicine may improve patient access to hand […]
• Exploring the Role of Mobile Apps for Insomnia in Depression: Systematic Review
  CONCLUSIONS: The integration of AI and deep learning into mobile apps, particularly chatbots, is a promising avenue for personalized mental health support. Through innovative features, such as early detection, assessment, counseling, and CBT, these apps significantly contribute toward improving sleep quality and addressing depression. The reviewed chatbots leveraged advanced technologies, including natural language processing, machine […]
• Optimising co-design processes in telemedicine innovation-developing a telemedical solution for emergency medical services
  CONCLUSIONS: The study developed and applied co-design elements for the creation of a prototype concept for telemedicine in emergency medicine and offers valuable insights for similar projects involving diverse stakeholders. It shows that structured co-design activities help all stakeholders to jointly create solutions that meet the overall needs.
• The Online Health Information-Seeking Behaviors of People Who Have Experienced Stroke: Qualitative Interview Study
  CONCLUSIONS: People who have experienced stroke actively engage with the internet to search for health information with varying levels of confidence. The underlying theme of disconnection identified in the interviews highlights the need for a more comprehensive and sustained framework for support after stroke beyond the initial recovery phase. Future research should explore the development […]
• Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study
  CONCLUSIONS: When used effectively, data visualizations are valuable, engaging components of RMT. Easy to use and intuitive data visualization design was lauded by individuals with neurological and psychiatric conditions. Apps design needs to consider the unique requirements of service users. Overall, this study offers RMT developers a comprehensive outline of the data visualization preferences of […]
• Challenges in Teledermoscopy Diagnostic Outcome Studies: Scoping Review of Heterogeneous Study Characteristics
  CONCLUSIONS: The heterogeneity in the population, index tests, and reference standard domains across teledermoscopy diagnostic outcome studies underscores the need for standardized reporting. This hinders the synopsis of teledermoscopy diagnostic outcomes in systematic reviews and limits the integration of research results into practice. Adopting a (tailored) STARD (Standards for Reporting Diagnostic Accuracy Studies) checklist for […]
• Online Health Information Seeking, eHealth Literacy, and Health Behaviors Among Chinese Internet Users: Cross-Sectional Survey Study
  CONCLUSIONS: The study revealed the pathways linking sociodemographic factors, eHealth literacy, OHIS, and perceived information quality and how they together influenced health outcomes. The findings underscore the significance of enhancing eHealth literacy and improving information quality to promote better health outcomes among Chinese internet users.