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Background: Digital health technologies include an array of mobile or digital devices and apps that may be used by patients to support lifestyle modification or medical apps that monitor vital parameters and provide data that may influence treatment decisions. The use of digital health technologies is a growing opportunity for disease prevention and management of cardiovascular disease (CVD) for both patients to engage in self-management as well as nurses to monitor patients remotely and facilitate clinical decision support.
Objectives: The aims of this review article are to provide an overview of pertinent digital health technologies in CVD care, address social determinants of health and other enablers/barriers to digital health implementation, and provide perspectives on novel models of care incorporating digital technologies.
Methods: Based on the latest evidence, recommendations for special considerations and implementation of digital health technologies in low- and middle- versus high-income countries are presented. In addition, tables reviewing functionality of the digital tools and global examples of their use are provided. Extensive empirical evidence from diverse populations suggests adoption of these innovative tools has been low in clinical settings. We provide a table summarizing these barriers and include the facilitators that can improve the adoption of digital health tools to improve behavioral lifestyle modification.
Conclusions: For learning purposes, implementation of an innovative model of care is illustrated graphically and in text. We include a call to action to achieve the maximum impact of digital technology to support nurses who work in almost all settings improving CVD prevention and management globally. The multiple roles of nurses using digital health for global CVD prevention and management are discussed in the settings of clinical practice, research, education, public health, health policy/leadership, and informatics.
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http://dx.doi.org/10.1097/JCN.0000000000001205 | DOI Listing |
J Investig Allergol Clin Immunol
September 2025
Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Background And Objectives: Pollen-food allergy syndrome (PFAS) is a frequent comorbidity in individuals with hay fever. Identifying risk factors and allergen clusters can aid targeted interventions and management strategies. Objective: This study characterizes PFAS in patients with hay fever and identifies associated risk factors using the mobile health platform, AllerSearch.
View Article and Find Full Text PDFAlzheimers Dement
September 2025
Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
Introduction: We developed and validated age-related amyloid beta (Aβ) positron emission tomography (PET) trajectories using a statistical model in cognitively unimpaired (CU) individuals.
Methods: We analyzed 849 CU Korean and 521 CU non-Hispanic White (NHW) participants after propensity score matching. Aβ PET trajectories were modeled using the generalized additive model for location, scale, and shape (GAMLSS) based on baseline data and validated with longitudinal data.
Muscle Nerve
September 2025
Department of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea.
Introduction/aims: There is a lack of up-to-date information on the burden of motor neuron diseases (MNDs) in the United States (US). This study aimed to estimate trends in the prevalence, incidence, mortality, and disability-adjusted life years (DALYs) for MNDs in the US from 1990 to 2021.
Methods: We performed a secondary analysis of MNDs in the US using estimates of prevalence, incidence, and mortality obtained from analyses of the Global Burden of Disease 2021 dataset.
Comput Struct Biotechnol J
August 2025
Institut de Recherche en Cancérologie de Montpellier (IRCM), Équipe Labellisée Ligue Contre le Cancer, INSERM U1194, Université de Montpellier, Institut régional du Cancer de Montpellier (ICM), Montpellier, France.
Digital twins (DTs) are emerging tools for simulating and optimizing therapeutic protocols in personalized nuclear medicine. In this paper, we present a modular pipeline for constructing patient-specific DTs aimed at assessing and improving dosimetry protocols in PRRT such as therapy. The pipeline integrates three components: (i) an anatomical DT, generated by registering patient CT scans with an anthropomorphic model; (ii) a functional DT, based on a physiologically-based pharmacokinetic (PBPK) model created in SimBiology; and (iii) a virtual clinical trial module using GATE to simulate particle transport, image simulation, and absorbed dose distribution.
View Article and Find Full Text PDFBackground: New psychoactive substances (NPS) represent a global problem, especially among young people. In Central Asia, while the trafficking in NPS continues to grow, there remains a lack of data on the social, health and psychological consequences of their use.
Aim: To investigate the motives behind the NPS use among young people in the Republic of Uzbekistan, as well as the medical and social characteristics of this group.