eHealth wearables can track users' state of health, record their physiological data, and facilitate self-care. In this study, we examined whether they enhance older adults' casual exercise willingness and life satisfaction. After reviewing the related literature, the performance and satisfaction of elements for older adults to use eHealth Wearables were determined. The elements were derived from the means-end chain analysis. Three dimensions, product attributes, beneficial consequences, personal values, and responding elements, were identified first. The Performance Evaluation Matrix (PEM) was then established to determine the elements to be improved. A total of 250 questionnaires were distributed, out of which 206 valid questionnaires were completed and returned. In the proposed PEM, the product attributes that were in the priority improvement zone were accessibility, learnability, usability, affordability, positioning, pedometer, heart rate monitor, and data feedback. These elements are the most essential properties in need of improvement.
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http://dx.doi.org/10.3390/healthcare10040605 | DOI Listing |
JMIR Med Inform
December 2024
Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect 4, Taichung, 407219, Taiwan, 886 4-2359-2525, 886 4-2359-5046.
Background: Telehealth programs and wearable sensors that enable patients to monitor their vital signs have expanded due to the COVID-19 pandemic. The electronic National Early Warning Score (e-NEWS) system helps identify and respond to acute illness.
Objective: This study aimed to implement and evaluate a comprehensive telehealth system to monitor vital signs using e-NEWS for patients receiving integrated home-based medical care (iHBMC).
Lancet Digit Health
January 2025
Biomedical Engineering Department, Duke University, Durham, NC, USA; Biostatistics and Bioinformatics Department, Duke University, Durham, NC, USA. Electronic address:
Background: Longitudinal digital health studies combine passively collected information from digital devices, such as commercial wearable devices, and actively contributed data, such as surveys, from participants. Although the use of smartphones and access to the internet supports the development of these studies, challenges exist in collecting representative data due to low adherence and retention. We aimed to identify key factors related to adherence and retention in digital health studies and develop a methodology to identify factors that are associated with and might affect study participant engagement.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Sports Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Cancer survivors (CS) often experience treatment-related side effects, such as fatigue, and have reduced physical function. Regular physical activity has been demonstrated to reduce these symptoms and improve cardiopulmonary fitness. Digital solutions are needed to optimize exercise options for CS in aftercare, especially given the significant limitations during the Covid-19 pandemic.
View Article and Find Full Text PDFCureus
December 2024
Colorectal Surgery, Torbay and South Devon NHS Foundation Trust, Torbay, GBR.
Telemedicine in surgical care has undergone rapid advancements in recent years, leveraging technologies such as telerobotics, artificial intelligence (AI) diagnostics, and wearable devices to facilitate remote evaluation and monitoring of patients. These innovations have improved access to care, reduced costs, and enhanced patient satisfaction. However, significant challenges remain, including technical barriers, limited tactile feedback in telesurgery, and inequities arising from digital literacy and infrastructure gaps.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Stanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Background: Though widely used, resting heart rate (RHR), as measured by a wearable device, has not been previously evaluated in a large cohort against a variety of important baseline characteristics.
Objective: This study aimed to assess the validity of the RHR measured by a wearable device compared against the gold standard of ECG (electrocardiography), and assess the relationships between device-measured RHR and a broad range of clinical characteristics.
Methods: The Project Baseline Health Study (PHBS) captured detailed demographic, occupational, social, lifestyle, and clinical data to generate a deeply phenotyped cohort.
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