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Background: There is relatively low uptake of remote monitoring on frailty virtual wards (Hospital at Home) compared to virtual wards caring for people with other medical conditions. However, reasons for low uptake are poorly understood.
Objectives: To explore the views and experiences of frailty virtual wards stakeholders involved in implementing remote monitoring.
Methods: We conducted qualitative interviews with 42 stakeholders involved in delivery, design or evaluation of frailty virtual wards based in the UK. Analysis was based on the constant comparative method.
Results: Many participants perceived that remote monitoring was only useful for a small sub-group of patients with frailty for a range of medical, practical and social reasons. Remote monitoring required new ways of working from patients, staff and carers. The nature of this work was not always sufficiently well understood, designed or supported. Procurement practices were also seen to be misaligned with service needs, resulting in provision of equipment that was not fit for purpose. A further challenge in implementing remote monitoring in frailty virtual wards lay in tensions between national-level standardisation and enabling local flexibility.
Conclusions: Implementing remote monitoring in frailty virtual wards is challenged by lack of consensus on its suitability for this population, the extent and nature of change in clinical practices and work systems design required, and issues relating to equipment and standardisation. More co-design effort is needed to inform decision-making on remote monitoring for those with frailty.
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http://dx.doi.org/10.1093/ageing/afaf003 | DOI Listing |
Ecol Evol
September 2025
Department of Ecological, Plant & Animal Sciences Centre for Freshwater Ecosystems, School of Agriculture, Biomedicine and Environment, La Trobe University, Albury-Wodonga Campus West Wodonga Victoria Australia.
Freshwater turtles in the Murray-Darling Basin (MDB), Australia, have declined since the 1970s. Intense nest predation by introduced foxes likely contributes to these declines, disrupting juvenile recruitment needed to sustain populations. Traditional lethal control methods, such as baiting and shooting, have proven inadequate, highlighting the need for innovative conservation strategies.
View Article and Find Full Text PDFAlpine streams represent some of the most challenging yet ecologically valuable freshwater environments to study, due to their remoteness, fast flows and extreme climatic conditions. Traditional fish survey methods are often impractical or invasive in these habitats. This study presents a lightweight, low-cost, T-shaped remote underwater video (RUV) system optimized for fish monitoring in small, high-altitude streams of the European Alps.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, LE3 9QP Leicester, UK.
Adult congenital heart disease (ACHD) constitutes a heterogeneous and expanding patient cohort with distinctive diagnostic and management challenges. Conventional detection methods are ineffective at reflecting lesion heterogeneity and the variability in risk profiles. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL) models, has revolutionized the potential for improving diagnosis, risk stratification, and personalized care across the ACHD spectrum.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 113-8421 Tokyo, Japan.
Background: Limited data are available regarding the prevalence of sleep-disordered breathing (SDB), particularly Cheyne-Stokes respiration (CSR), in patients with atrial fibrillation (AF) and left ventricular (LV) systolic dysfunction. Thus, this study aimed to investigate the prevalence of SDB and CSR, as well as the factors associated with these conditions, in patients with AF without LV systolic dysfunction.
Methods: Patients with paroxysmal and non-paroxysmal AF underwent echocardiography and cardiorespiratory polygraphy.
Environ Monit Assess
September 2025
Department of Environment and Life Science, KSKV Kachchh University, Bhuj, Gujarat, 370 001, India.
India's energy demand increased by 7.3% in 2023 compared to 2022 (5.6%), primarily met by coal-based thermal power plants (TPPs) that contribute significantly to greenhouse gas emissions.
View Article and Find Full Text PDF