{ "version": "https://jsonfeed.org/version/1", "title": "Digital Health Evidence (most recently published)", "home_page_url": "http://www.digitalhealthevidence.net/", "feed_url": "http://www.digitalhealthevidence.net/feed/published/json", "description": "The most recently published Digital Health evidence", "icon": "http://www.digitalhealthevidence/logo_horizontal_small.png", "author": { "name": "James BonTempo", "url": "https://www.linkedin.com/in/jamesbontempo/" }, "items": [ { "id": "http://doi.org/10.1016/j.landig.2026.101003", "content_html": "", "url": "http://doi.org/10.1016/j.landig.2026.101003", "title": "Correction to Lancet Digital Health 2026; 100956.", "summary": "Correction to Lancet Digital Health 2026; 100956. - The Lancet. Digital health", "date_modified": "2027-02-25T00:00:00.000Z", "author": { "url": "http://unknown.com" } }, { "id": "http://doi.org/10.1016/j.bioelechem.2026.109433", "content_html": "Heart failure (HF) is a long-term condition that often causes repeated hospital visits and requires close monitoring. Cardiac troponin I (cTnI) and cardiac troponin T (cTnT) are widely known as markers of myocardial infarction, but in HF they can also show ongoing heart-muscle injury, disease progression, and poor prognosis. This review examines the clinical value of repeated troponin measurements and the development of point-of-care testing (PoCT) biosensors for faster and more accessible monitoring. It covers electrochemical immunosensors, aptamer-based sensors, electrochemiluminescence (ECL) systems, field-effect transistor (FET) devices, and emerging wearable and microfluidic platforms. The review also discusses post-discharge follow-up, remote care, and combined interpretation with B-type natriuretic peptide (BNP), N-terminal pro-B-type natriuretic peptide (NT-proBNP), electrocardiogram (ECG), kidney function, symptoms, and wearable data. Artificial intelligence (AI) may support patient-specific trend analysis and early risk alerts. However, major challenges remain, including low-level sensitivity, whole-blood testing, assay differences, signal drift, false alarms, and limited validation in real HF patients. Future progress will require reliable devices, clear clinical pathways, and outcome-based studies. ", "url": "http://doi.org/10.1016/j.bioelechem.2026.109433", "title": "Beyond myocardial infarction: Point-of-care cardiac troponin biosensors for heart failure prognosis and remote monitoring.", "summary": "Beyond myocardial infarction: Point-of-care cardiac troponin biosensors for heart failure prognosis and remote monitoring. - Bioelectrochemistry (Amsterdam, Netherlands)", "date_modified": "2027-02-01T00:00:00.000Z", "author": { "name": "Akshay Rangnath, N; Sankar, K; Agrawal, PS; Panchabudhe, HM; Ingole, NS; Agrawal, PK; Rewatkar, P; Kulkarni, MB; Bhaiyya, M", "url": "http://manipal.edu" } }, { "id": "http://doi.org/10.1016/j.apergo.2026.104858", "content_html": "Chronic wounds pose a growing global health challenge, impacting patients' quality of life and straining health care systems. Grounded in the SEIPS framework, this study presents a longitudinal, whole-system exploration of a novel cross-sectoral intervention combining telemedicine and an ambulatory wound care team for chronic wound management in Norway. Baseline and fieldwork data collected across a regional hospital and six municipalities reveal dualities in organizational readiness and wound care competency, highlighting both barriers and opportunities for improving service delivery. The empirically informed CROSTAI model synthesizes these insights, offering a framework for redesigning health care systems and practices to improve the quality of wound care and patient and system outcomes. The study underscores the need for whole-system approaches to the exploration, planning, and implementation of complex new healthcare interventions, with associated redesign implications. This includes maintaining a continuous balance between negative and positive system outcomes and improving the alignment among organizations, technologies, environments, and actual clinical work, in which co-design, human-centered development, and systems-based evaluation are essential. The CROSTAI model, combined with the systematic research design that supports it, contributes to a broader understanding of human-centered design in complex health care systems and has potential for transferability to explorations in similar contexts. ", "url": "http://doi.org/10.1016/j.apergo.2026.104858", "title": "Exploration and modeling of a longitudinal cross-sector telemedicine and ambulatory wound care intervention in Norway - The CROSTAI model.", "summary": "Exploration and modeling of a longitudinal cross-sector telemedicine and ambulatory wound care intervention in Norway - The CROSTAI model. - Applied ergonomics", "date_modified": "2027-01-01T00:00:00.000Z", "author": { "name": "Høyland, SA; Holte, KA; Øygarden, O; Gjerstad-Sørensen, R; Lamu, AN; Islam, K; Kjerstad, E; Husebø, SE; Rødseth, E; Carayon, P", "url": "http://norceresearch.no" } }, { "id": "http://doi.org/10.1016/j.cca.2026.121209", "content_html": "Artificial intelligence, particularly machine learning and deep learning, is a rapidly evolving field that is increasingly permeating all areas of modern society, including public healthcare. In the present work, we provide a comprehensive introduction to the application of machine learning in routine clinical practice and biomedical research, including biomarker discovery. The most widely used machine learning models are introduced together with their key characteristics, strengths, and limitations. Furthermore, the fundamental principles governing the interpretation of model outputs and communication with regulatory authorities are discussed and illustrated using both real-world and synthetic datasets through modeling in the Python programming environment. Particular emphasis is placed on maintaining data quality and ensuring robust validation procedures in the context of dynamic, continuously updated AI systems intended for diagnostic software registered as medical devices (SaMDs). The importance of data governance, external validation, interpretability, and clinical oversight is highlighted as a prerequisite for safe and effective implementation of AI technologies in healthcare - throughout both the development and commercialization phases. Finally, current trends in medical artificial intelligence are reviewed, together with their potential benefits and associated risks for patients. The presented overview aims to facilitate a deeper understanding of the opportunities and challenges associated with the integration of AI-driven solutions into modern healthcare systems. ", "url": "http://doi.org/10.1016/j.cca.2026.121209", "title": "Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe.", "summary": "Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe. - Clinica chimica acta; international journal of clinical chemistry", "date_modified": "2027-01-01T00:00:00.000Z", "author": { "name": "Bertok, T; Pankuchova, I; Jane, E; Batova, Z; Tkac, J", "url": "http://savba.sk" } }, { "id": "http://doi.org/10.1080/01652176.2026.2720640", "content_html": "Magnetic resonance imaging (MRI) systems continue to grow in number in veterinary and human medicine with higher field strength magnets increasingly available; however, the associated high costs have created healthcare inequities. This technical feasibility study aimed to evaluate a low-cost, portable, and permanent magnet-based 0.05 T low-field system (LF), originally designed for human neuroimaging, for assessing the canine brain. By using 23 canine cadavers, a scanning protocol was developed, consisting of transverse T1-weighted (T1w) and T2-weighted (T2w) sequences, and compared to a 1.5 T (HF) protocol for the visibility of 22 anatomical features. For the purpose of hydrocephalus evaluation, the LF system showed non-inferior detection of the lateral ventricles (LV) and mesencephalic aqueduct on T2w sequences with >90% conditional probability for detecting these features on the LF, given they were present on the HF. For T1w sequences, the LF system had inconclusive non-inferiority for detection of LV with 76.6% conditional probability. In summary, a canine brain scanning protocol was successfully developed for a 0.05 T MRI with preliminary evaluation suggestive that this device can aid with the detection of hydrocephalus. Future in vivo studies are required to evaluate the device's true clinical application. ", "url": "http://doi.org/10.1080/01652176.2026.2720640", "title": "Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study.", "summary": "Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study. - The veterinary quarterly", "date_modified": "2026-12-31T00:00:00.000Z", "author": { "name": "Burgers, EM; Miles, S; Veraa, S; O'Reilly, T; van den Broek, R; Najac, C; Lena, B; Webb, A", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.1080/10872981.2026.2726067", "content_html": "The rapid advancement of digital technologies has transformed healthcare delivery, creating an imperative for medical education to integrate digital health (DH) competencies into undergraduate training. Despite growing recognition of its importance, progress in embedding DH literacy within formal medical curricula has been uneven and slow. This study examined DH education within an undergraduate medical programme by integrating faculty and student perspectives to identify curriculum development needs and inform evidence-based educational strategies. A mixed-methods study was conducted at a Singapore medical school offering a 5-year undergraduate curriculum. Semi-structured interviews were conducted with four faculty members as DH content experts, exploring curriculum design, pedagogical strategies, and competency expectations. A 24-item survey assessing knowledge, attitudes, and usage of DH tools was administered to students across pre-clinical and clinical training, with 131 responses from 848 eligible participants. Qualitative data were analysed using grounded theory-based thematic analysis, whilst survey data were analysed using descriptive statistics. Faculty interviews identified three key themes: curriculum gaps requiring more practical and clinically-oriented DH teaching, structural barriers including time constraints and rapid technological change, and complex stakeholder ecosystem influencing curriculum development. Student survey results revealed a persistent theory-practice gap across DH domains. Students reported high self-perceived knowledge in DH applications and artificial intelligence (AI) but consistently lower confidence in practical application, particularly in electronic health records (EHR) and telemedicine. Clinical students paradoxically rated their EHR knowledge lowest despite greater clinical exposure. Students expressed strong interest in programming, data analytics, and hands-on AI, favouring applied DH skills with direct clinical relevance. Medical curricula struggle to translate DH conceptual knowledge into practice, reconcile divergent competency expectations between students and faculty, and remain current amid rapid technological change. Tiered competency models, coupled with experiential learning approaches and continuous faculty development, represent a promising strategy for preparing future physicians for digitally enhanced healthcare delivery. Not applicable. ", "url": "http://doi.org/10.1080/10872981.2026.2726067", "title": "Assessing digital health curriculum needs: a mixed-methods study of student and faculty perspectives in a Singapore medical school.", "summary": "Assessing digital health curriculum needs: a mixed-methods study of student and faculty perspectives in a Singapore medical school. - Medical education online", "date_modified": "2026-12-31T00:00:00.000Z", "author": { "name": "Bajaj, S; Goh, ECD; Ng, YY; Lee, ZW", "url": "https://orcid.org/0000-0002-7554-7655" } }, { "id": "http://doi.org/10.1080/17482631.2026.2724196", "content_html": "Antibiotic misuse among children in China remains a significant concern. Parents typically make decisions about antibiotic use within a complex health information environment comprising multiple sources. This study aims to explore which information sources influence Chinese parents' use of antibiotics when faced with uncertainty about their children's health, and how these sources affect the management of such uncertainty. Guided by uncertainty management theory, this study conducted semi-structured interviews with 20 participants and analyzed data via codebook thematic analysis. Three themes emerged: (1) Grandparents' Interference in Parents' Medication Decisions; (2) Limited Adherence to the Doctor's Advice; (3) Diverse Medication Information in New Media Environments. Chinese parents manage uncertainty about antibiotic use by drawing on multiple information sources, including family experiences, professional advice, and online information. This mixed information environment may increase the risk of inappropriate antibiotic use. The influence of grandparents highlights the need for family-oriented health education, while parents' selective engagement with and adoption of doctors' recommendations indicate that pediatric healthcare providers should proactively improve communication and provide clearer guidance on medication use. Additionally, the growing use of digital health information calls for improved oversight and development of trustworthy online health resources. ", "url": "http://doi.org/10.1080/17482631.2026.2724196", "title": "Managing uncertainty in antibiotic decisions: factors influencing antibiotic use among chinese parents of children in a multi-source information environment.", "summary": "Managing uncertainty in antibiotic decisions: factors influencing antibiotic use among chinese parents of children in a multi-source information environment. - International journal of qualitative studies on health and well-being", "date_modified": "2026-12-31T00:00:00.000Z", "author": { "name": "Yu, H; Zhu, Y; Xu, S; Liao, R", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.1080/17482631.2026.2717466", "content_html": "Primary care follow-up of women with previous GDM is often lacking. Little is known about effective approaches to improve follow-up and promote a healthy lifestyle. Semi-structured individual interviews were conducted with 17 purposively sampled women with previous GDM in southern Sweden. The interviews were audio-recorded, transcribed verbatim, and qualitative content analysis was performed. Three main categories were found: \"a missed proactive opportunity caused by insufficient GDM follow-up\", \"need for a holistic approach to health and wellbeing\", and \"ambivalence toward tech-enhanced lifestyle management\". Women with previous GDM felt abandoned by healthcare after labour, since follow-up in primary care was lacking. Follow-up was viewed as proactive and requested, preferably in the form of a holistic approach to health. Motherhood and future T2DM risk were the strongest motivators for healthy lifestyle behaviours. Overall, they were cautiously optimistic regarding digital solutions in facilitating follow-up and lifestyle improvement. The capability opportunity motivation-behavior (COM-B) framework was applied, highlighting key determinants of women's ability to make lifestyle changes. Promoting a healthy lifestyle among women with prior GDM requires efforts at multiple levels to reduce long-term diabetes risk. Structured primary care follow-up and person-centred lifestyle support can be potentially enhanced through digital health interventions. ", "url": "http://doi.org/10.1080/17482631.2026.2717466", "title": "\"I gave birth, and then I disappeared\"-women's experience of primary care follow-up and lifestyle prevention after gestational diabetes.", "summary": "\"I gave birth, and then I disappeared\"-women's experience of primary care follow-up and lifestyle prevention after gestational diabetes. - International journal of qualitative studies on health and well-being", "date_modified": "2026-12-31T00:00:00.000Z", "author": { "name": "Björk Javanshiri, A; Modig, S; Nymberg, P; Calling, S", "url": "https://orcid.org/0009-0009-0983-5323" } }, { "id": "http://doi.org/10.1080/17482631.2026.2697390", "content_html": "Most applications for depression lack comprehensive theoretical integration and qualitative assessments of university students' needs remain insufficient. This study aimed to explore the needs and experiences of university students with depressive symptoms and develop a theory-driven app design framework tailored to the target population. A post-positivist qualitative framework was used to recognize the value of subjective experience. Semi-structured interviews were conducted with 32 students with moderate to moderately severe depression. Reflexive thematic analysis was used to identify themes in the data. Three themes emerged: app design, help-seeking processes, and core features of cognitive behavioral therapy. Students emphasized the importance of discreet, user-friendly design, such as positive naming, privacy protection, and flexible reminder functions. Although some expressed concerns regarding the empathy and reliability of artificial intelligence, others valued its anonymity and capacity to provide immediate support. Regarding theoretical integration, participants considered monitoring emotions and physical sensations essential but also highlighted the need for diverse and personalized methods. The conceptualization of self-monitoring data was considered useful for facilitating clinical consultations. Students considered theory-based health education as effective for improving mental health knowledge and promoting help-seeking awareness. The findings support clinical decision-making in developing more effective digital tools. ", "url": "http://doi.org/10.1080/17482631.2026.2697390", "title": "Integration of cognitive behavioral therapy and mobile health applications among university students with depression: a qualitative study.", "summary": "Integration of cognitive behavioral therapy and mobile health applications among university students with depression: a qualitative study. - International journal of qualitative studies on health and well-being", "date_modified": "2026-12-31T00:00:00.000Z", "author": { "name": "Chen, LT; Hsu, HT; Lou, MF; Wu, CY; Lin, CH; Lin, YH", "url": "https://orcid.org/0000-0001-6167-3039" } }, { "id": "http://doi.org/10.1080/01652176.2026.2696026", "content_html": "Prohibitive costs associated with high-field MRI systems have resulted in reduced access in resource-limited areas with consequential healthcare inequities. This has renewed interest in purposefully designed low-field (LF) systems that, despite inherently lower signal-to-noise ratios, have advantages in terms of cost, portability, and accessibility. This pilot study successfully translated a previously developed LF (0.05 T) MRI canine cadaver brain protocol for in vivo application and compared the acquired images with paired 1.5 T images from 21 different canine patients. The visibility of 15 anatomic features was ordinarily scored (scale 1-3) on transverse T1-weighted post-contrast (21/21 patients) and T2-weighted (17/21 patients) sequences. Lateral ventricles were easily visualized (89.3%-100% scored 3/3) across all sequence‒system combinations, with T2-weighted sequences also providing good identification of the mesencephalic aqueduct (56.3%-100%), fourth ventricle (77.1%-100%), and thalamus (68.8%-100%). Absolute visual grading characteristics (VGC) analysis confirmed comparable performance of the LF system to the 1.5 T MRI for these features, a particularly relevant finding given the system's originally intended application for pediatric hydrocephalus neuroimaging in resource-limited areas. This study represents the first in vivo usage and evaluation of a 0.05 T MRI in a clinical veterinary context. ", "url": "http://doi.org/10.1080/01652176.2026.2696026", "title": "Canine brain imaging with a new low-field portable (0.05 T) MRI scanner: a pilot in vivo comparison to conventional 1.5 T.", "summary": "Canine brain imaging with a new low-field portable (0.05 T) MRI scanner: a pilot in vivo comparison to conventional 1.5 T. - The veterinary quarterly", "date_modified": "2026-12-31T00:00:00.000Z", "author": { "name": "Burgers, EM; Miles, S; van den Broek, R; Najac, C; Lena, B; O'Reilly, T; Webb, A; Veraa, S", "url": "http://unknown.com" } } ] }