Introduction And Hypothesis: The objective was to appraise the current use of mobile technologies for the conservative self-management of urinary incontinence (UI). Moreover, we aimed to explore whether they integrate recommended features for the use of mobile technologies in healthcare and recognized parameters for optimal conservative UI treatment.
Methods: We conducted a literature search on Medline, Embase, CINAHL, REHABDATA, Cochrane Library and PEDro databases. Eligible articles included people with UI of any type and use of a mobile technology for the conservative self-management of UI. Two reviewers independently screened, reviewed, and extracted data on study design, type of mobile technologies, valuable features, and outcomes related to UI.
Results: Twelve articles (level of evidence II to V) were retained. Technologies used were a mobile app alone (n = 2), a Pelvic Floor Muscle Training (PFMT) device and app (n = 2), a PFMT device and telerehabilitation (n = 1), a smartphone messaging system (n = 1), and an internet-based program (n = 1). PFMT programs prescribed a daily frequency for at least 8 weeks. Between 1 and 4 valuable features were reported out of 6 identified. After intervention, at least 1 outcome on UI severity was reported improved in 6/7 studies, satisfaction was high in 3/3 studies and adherence was high (daily usage) in 4/5 studies.
Conclusion: There is level 2 evidence that there are benefits of using mobile technologies in terms of improvements in UI, satisfaction, adherence, and costs. Mobile technologies reviewed seem to follow optimal PFMT parameters, but users could benefit further from more built-in features that may optimize rehabilitation outcomes.
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http://dx.doi.org/10.1007/s00192-019-04012-w | DOI Listing |
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences,Hangzhou Institute of Cardiovascular Diseases, Engineering Research Center of Mobile Health Management System & Ministry of Education, Hangzhou Normal University, Hangzhou, 310015, China.
Objective: The effect of sodium intake on atrial fibrillation (AF)/atrial flutter (AFL), with respect to sex and age, has yet to be elucidated. This study aims to compare long-term trends in AF/AFL death and disability due to high sodium intake in China from 1990 to 2019.
Methods: We utilized data from the Global Burden of Disease study to assess the mortality and disability burden of AF/AFL attributable to high sodium intake (> 5 g/d) in China from 1990 to 2019.
Sci Rep
January 2025
HeartMath Institute, Boulder Creek, CA, 95006, USA.
This global study analyzed data from the largest dataset ever studied in the Heart Rate Variability (HRV) biofeedback field, comprising 1.8 million user sessions collected from users of a mobile app during 2019 and 2020. We focused on HRV Coherence, which is linked to improved emotional stability and cognitive function.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT, 06269, USA.
Wearable and implantable bioelectronics that can interface for extended periods with highly mobile organs and tissues across a broad pH range would be useful for various applications in basic biomedical research and clinical medicine. The encapsulation of these systems, however, presents a major challenge, as such devices require superior barrier performance against water and ion penetration in challenging pH environments while also maintaining flexibility and stretchability to match the physical properties of the surrounding tissue. Current encapsulation materials are often limited to near-neutral pH conditions, restricting their application range.
View Article and Find Full Text PDFNurse Educ Today
January 2025
School of Nursing and Midwifery, Deakin University, Burwood, Victoria 3125, Australia; Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Victoria, Australia.
Objective: To identify and synthesise existing literature about the use of mobile educational applications (apps) designed to enhance the learning experience of nurses and midwives.
Design: A narrative review using a systematic, structured and comprehensive search of the literature.
Data Sources: Medline Complete (EBSCO), CINAHL (EBSCO), ERIC (EBSCO) and Embase (OVID) electronic databases.
Comput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
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