There is an increasing need for highly accessible health management platforms for comprehensive symptoms of Parkinson disease. Mobile apps encompassing nonmotor symptoms have been rarely developed since these symptoms are often subjective and difficult to reflect what individuals actually experience. The study developed an app for comprehensive symptom management and evaluated its usability and feasibility. A single-group repeated measurement experimental design was used. Twenty-two participants used the app for 6 weeks. Monitoring of nonmotor symptoms, games to address motor symptoms, and medication management were incorporated in the app. Quantitative outcomes were self-assessed through an online questionnaire, and one-on-one telephone interviews were conducted to understand the user's point of view. The successful experience of self-monitoring had improved participants' self-efficacy ( Z = -3.634, P < .001) and medication adherence ( Z = -3.371, P = .001). Facilitators included a simple-to-use interface, entertaining content, and medication helps. Barriers included simple forgetfulness and digital literacy, including unfamiliarity with mobile phone manipulation itself. The study suggested insight into the app use related to acceptability of mobile technology. The preliminary effects on self-efficacy and medication adherence will guide future nursing interventions using mobile health. Our approach will contribute to improving the continuum of care for Parkinson disease by promoting self-monitoring of symptoms.
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JMIR Form Res
January 2025
ICMR-National Institute for Research in Digital Health and Data Science, Ansari Nagar, New Delhi, 110029, India, 91 7840870009.
Background: Verbal autopsy (VA) has been a crucial tool in ascertaining population-level cause of death (COD) estimates, specifically in countries where medical certification of COD is relatively limited. The World Health Organization has released an updated instrument (Verbal Autopsy Instrument 2022) that supports electronic data collection methods along with analytical software for assigning COD. This questionnaire encompasses the primary signs and symptoms associated with prevalent diseases across all age groups.
View Article and Find Full Text PDFIntroduction: Tuberculosis (TB) poses a significant threat to global health, with millions of new infections and approximately one million deaths annually. Various modeling efforts have emerged, offering tailored data-driven and physiologically-based solutions for novel and historical compounds. However, this diverse modeling panorama may lack consistency, limiting result comparability.
View Article and Find Full Text PDFJMIR Pediatr Parent
January 2025
Department of Health and Physical Education, Mount Royal University, Calgary, AB, Canada.
Background: Early childhood is a critical period for shaping lifelong health behaviors, making early childhood education and care (ECEC) environments ideal for implementing nutrition and physical activity interventions. eHealth tools are increasingly utilized in ECEC settings due to their accessibility, scalability, and cost-effectiveness, demonstrating promise in enhancing educators' practices. Despite the potential effectiveness of these eHealth approaches, a comprehensive collection of available evidence on eHealth tools designed to assess or support best practices for nutrition or physical activity in ECECs is currently lacking.
View Article and Find Full Text PDFFront Digit Health
January 2025
Department of Restorative Dentistry, Cork University Dental School and Hospital, University College Cork, Cork, Ireland.
Introduction: The ubiquity of Bring Your Own Device (BYOD) personal smartphones, Instant Messaging (IM), and third-party apps, has made these technologies compelling for efficient communications between clinicians regarding patient care. However, the sensitivity of patient-related information necessitates secure, GDPR compliant modalities that prevent unauthorised access and ensure confidentiality. This scoping review explores existing guidelines, policies, and regulations that advise clinicians in the UK and Ireland on the secure use of these digital communication tools.
View Article and Find Full Text PDFBMJ Open
January 2025
Médecine Physique et de Réadaptation, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France.
Introduction: Osteoarthritis, the most prevalent joint disease, poses a significant challenge due to its progressive nature and impact on the whole joint and periarticular structures. Although exercise is crucial for symptom improvement and progression slowdown, adherence to exercise programmes remains a concern. In response, we have developed a novel smartphone-based m-health application, ARTH-e, specifically designed to enhance adherence to adapted physical activity in individuals with knee osteoarthritis.
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