Leandro Augusto de Almeida Costa, Brena Ataíde Furtado, Edilson Brabo Almeida, Bianca Callegari, Alex Harley Crisp, Rafael Oliveira Chaves, Maria da Conceição Nascimento Pinheiro, Givago Silva Souza
{"title":"E-waste for health: recycling smartphones for health monitoring.","authors":"Leandro Augusto de Almeida Costa, Brena Ataíde Furtado, Edilson Brabo Almeida, Bianca Callegari, Alex Harley Crisp, Rafael Oliveira Chaves, Maria da Conceição Nascimento Pinheiro, Givago Silva Souza","doi":"10.3389/fdgth.2025.1495408","DOIUrl":"10.3389/fdgth.2025.1495408","url":null,"abstract":"<p><p>Portable digital electronic devices have been widely used around the world for different everyday tasks. However, every day there is also an increasing dumping of these electronic devices, especially smartphones, creating a public health problem called electronic waste or e-waste. This Viewpoint discusses how e-waste could be used by governments to promote digital health policies, especially in poorer countries. The use of e-waste could lower health care costs and reduce exposure to the metals contained in these materials.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1495408"},"PeriodicalIF":3.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12187754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Susana Abdala Kuri, Chaxiraxi Morales, Alexis M Oliva, Adama Peña, Sandra Dévora
{"title":"Analysis of the level of polypharmacy in patients from an isolated rural area: effect of age, sex, and chronic diseases.","authors":"Susana Abdala Kuri, Chaxiraxi Morales, Alexis M Oliva, Adama Peña, Sandra Dévora","doi":"10.3389/fdgth.2025.1508505","DOIUrl":"10.3389/fdgth.2025.1508505","url":null,"abstract":"<p><strong>Introduction: </strong>The increase in life expectancy and the greater number of chronic diseases have led to a greater use of medications. This polypharmacy can cause a greater number of drug-related problems and negative results on the patient's health associated with medication, which is why most health services are focused on solving these problems. Machine learning uses different techniques to generate knowledge in health, one of them is regression, whose model establishes that a prognosis is created from a dependent variable and a series of independent variables.</p><p><strong>Materials and methods: </strong>Data collection was conducted during 2021-2022 in an isolated rural pharmacy. The screening of participants susceptible to being part of the study began at the time of dispensing, verifying that they were part of the personalized dosing system (PDS) service.</p><p><strong>Results: </strong>The study population consisted of 78 participants, predominantly female. The sociodemographic profile was characterized by being female, between 66 and 80 years of age. The number of chronic diseases per participant was 4.25 ± 1.49. During the study phase, a total of 450 drug-related problems (DRPs) were detected, with an average of 5.64 ± 2.69 DRPs per participant.</p><p><strong>Discussion: </strong>Age and the assigned polypharmacy level are the factors that most influence the final polypharmacy level. However, it is necessary to include the variable \"chronic diseases\" since in some situations it seems to be significant.</p><p><strong>Conclusion: </strong>The factors that most influence the polypharmacy index are patient age and initial polypharmacy level and, to a lesser extent, but no less important, the number of chronic diseases.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1508505"},"PeriodicalIF":3.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12185413/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144487314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victoria Aminoff, My Björklund, Elina Ekström, Andrea Stenback, Uzma Yousafzai, Matilda Berg, Mikael Ludvigsson, Gerhard Andersson
{"title":"Internet-based cognitive behavioral therapy for psychological symptoms during the final phase of the COVID-19 pandemic: a feasibility study.","authors":"Victoria Aminoff, My Björklund, Elina Ekström, Andrea Stenback, Uzma Yousafzai, Matilda Berg, Mikael Ludvigsson, Gerhard Andersson","doi":"10.3389/fdgth.2025.1504217","DOIUrl":"10.3389/fdgth.2025.1504217","url":null,"abstract":"<p><strong>Introduction: </strong>SARS-CoV-2 and the accompanying COVID-19 pandemic had a great impact on people's well-being, both physically and mentally. The pandemic continued to affect people even after its end was declared. Internet-based cognitive behavioral therapy (ICBT) is a psychological treatment alternative that is effective for several types of psychological symptoms and conditions. This study aimed to investigate the feasibility of ICBT for psychological symptoms related to the COVID-19 pandemic in adults aged 18 years and older during the final phase of the pandemic. Since the psychological impact of the pandemic varies among individuals, individually tailored ICBT was examined, in which participants receive different treatment content based on their needs.</p><p><strong>Methods: </strong>A within-group study was conducted with 24 participants, receiving individually tailored ICBT during eight weeks with weekly support from a therapist. Participants received one module per week, which was selected based on the participant's specific symptoms and needs. Of the 24 participants, 16 (66.7%) were assessed as probably meeting the diagnostic criteria for post-COVID syndrome. Pre- and post-treatment measurements using self-report questionnaires for several psychological symptoms were administered online.</p><p><strong>Results: </strong>Statistically significant improvements were observed in symptoms of depression, anxiety, post-traumatic stress, loneliness, and exhaustion. Small increases were observed in a measure of CBT knowledge, whereas no significant changes were found in stress, quality of life, experience of cognitive failures, and economic stress. Participants completed on average 3.96 out of 8 modules, with five (20.8%) completing all modules. Fifteen (62.5%) of the 24 participants completed the post-treatment measurement. Three participants (12.5%) withdrew from the study.</p><p><strong>Conclusion: </strong>Overall, the results indicate that individually tailored ICBT with weekly support from a therapist is a feasible treatment for psychological symptoms related to the COVID-19 pandemic in its final phase. However, larger studies with more participants are needed to draw further conclusions regarding the effects of ICBT during the final phase of a pandemic. The treatment could be further developed to benefit a broader range of participants.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1504217"},"PeriodicalIF":3.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12183213/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simon Wallraf, Marie-Luise Dierks, Sabine Wöhlke, Cosima John, Jonas Lander
{"title":"Between willingness and practice: a nationwide survey of 1,334 German patient organization members on user involvement in digital service development.","authors":"Simon Wallraf, Marie-Luise Dierks, Sabine Wöhlke, Cosima John, Jonas Lander","doi":"10.3389/fdgth.2025.1591981","DOIUrl":"10.3389/fdgth.2025.1591981","url":null,"abstract":"<p><strong>Introduction: </strong>As the digital transformation of healthcare progresses, key actors such as patient organizations (POs) are adapting their activities and services to digital formats. This study explores how PO members are involved in developing digital services, focusing on their general willingness, actual involvement, and associated factors.</p><p><strong>Methods: </strong>A nationwide online survey was conducted among members of German POs from August to November 2023. Participants were recruited through 300 national POs. Data analysis included descriptive statistics and multivariate logistic regression analyses to examine potential predictors of three involvement variables.</p><p><strong>Results: </strong>Of the 1,334 participants, the majority were female (67.2%) and aged ≥50 years (65.6%). While only 22.4% of respondents had been approached by their PO to contribute to digital services - most commonly to PO websites, focusing primarily on content development - 81.2% emphasized the importance of member involvement, and nearly half (48%) expressed willingness to engage. Members volunteering within their PO were significantly more likely than non-volunteers to express willingness (OR = 2.905, 95% CI: 2.163-3.901, <i>p</i> < 0.001) and to be approached by their PO (OR = 5.227, 95% CI: 3.765-7.256, <i>p</i> < 0.001). Additionally, members not engaged in volunteer roles were significantly less likely to agree to such a request (OR = 0.076, 95% CI: 0.032-0.181, <i>p</i> < 0.001). Members with poor self-rated digital skills were significantly less likely to express willingness (OR = 0.235, 95% CI: 0.135-0.407, <i>p</i> < 0.001) or to be involved (OR = 0.070, 95% CI: 0.016-0.300, <i>p</i> < 0.001) than those with strong digital skills. Other factors, such as age, gender, educational attainment, and membership duration, were significantly associated with specific aspects of involvement.</p><p><strong>Conclusion: </strong>The findings highlight a notable gap between the broad willingness of PO members to engage in digital service development and the limited actual involvement opportunities currently provided by POs. This suggests that structured involvement processes may not yet be fully established, leaving substantial potential untapped. To gain a more comprehensive understanding, future research should explore POs' perspectives on the feasibility of member involvement, as well as structural and organizational factors that shape these opportunities.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1591981"},"PeriodicalIF":3.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James W Navalta, Olivia R Perez, Michael W H Wong, Dustin W Davis
{"title":"Does digital device software lead to exclusion? Investigating a portable metabolic analysis system and the input of sex data on physiological parameters.","authors":"James W Navalta, Olivia R Perez, Michael W H Wong, Dustin W Davis","doi":"10.3389/fdgth.2025.1541083","DOIUrl":"10.3389/fdgth.2025.1541083","url":null,"abstract":"<p><strong>Background: </strong>Digital health devices have enhanced healthcare accessibility, but their design may unintentionally exclude gender diverse people. This study examines whether the input of binary sex data in a portable metabolic analysis system (COSMED K5) impacts the accuracy of physiological measurements during self-paced exercise.</p><p><strong>Methods: </strong>Twenty adult participants (10 females, 10 males) completed two identical self-paced walking and running protocols with sex data alternately input as female or male in the device software. Key metabolic and pulmonary variables, including VO<sub>2</sub>, VCO<sub>2</sub>, ventilation, respiratory exchange ratio (RER), respiratory rate, and energy expenditure, were measured. Statistical comparisons evaluated differences between conditions.</p><p><strong>Results: </strong>No differences were observed in any measured variables between the female and male conditions during walking or running (<i>p</i> > 0.05). Correlations between conditions were strong (<i>r</i> = 0.73-0.98).</p><p><strong>Conclusion: </strong>The COSMED K5 device does not utilize binary sex input to alter physiological outputs, confirming that these data remain unaffected by this demographic variable. However, the limitation of binary sex options in the device software represents a barrier to inclusivity for gender diverse people. Device manufacturers are encouraged to update software with more inclusive options, aligning with recommendations for equitable research practices and addressing existing knowledge gaps in sport and exercise science.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1541083"},"PeriodicalIF":3.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12180134/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring caregiver challenges, digital health technologies, and healthcare support: a qualitative study.","authors":"Humairah Zainal, Xin Xiaohui, Julian Thumboo, Siang Joo Seah, Low Lian Leng, Fong Kok Yong","doi":"10.3389/fdgth.2025.1587162","DOIUrl":"10.3389/fdgth.2025.1587162","url":null,"abstract":"<p><strong>Introduction: </strong>Informal caregiving often involves navigating complex healthcare tasks, a challenge that is amplified by the growing burden of chronic diseases and an ageing population. Digital health technologies (DHTs)-including mobile health apps, wearable devices, and telemedicine platforms-offer potential support, yet their integration into caregiving remains underexplored. This study investigates the challenges caregivers face when using DHTs in Singapore and identifies resources needed to optimize their use in everyday caregiving.</p><p><strong>Methods: </strong>Thirty informal caregivers of adults with chronic illnesses and/or physical or cognitive impairments were recruited through purposive sampling via caregiver and personal networks, and community organizations. Semi-structured interviews were conducted, and thematic analysis was used to identify key barriers and potential solutions.</p><p><strong>Results: </strong>Caregivers reported using DHTs such as the HealthHub app, Fitbit wearables, and video teleconsultation services. Seven key challenges emerged: (1) lack of formal training in DHT use, (2) difficulties providing timely care, (3) limitations of teleconsultations for complex needs, (4) poor app usability, (5) cost concerns, (6) age-related digital literacy gaps, and (7) cultural tensions in adopting DHTs. Solutions proposed included caregiver-targeted training programs, streamlined digital access to care, improved DHT design, equitable access to DHTs, age-inclusive healthcare services, affordability schemes, and culturally sensitive support.</p><p><strong>Discussion: </strong>This study highlights significant barriers to DHT adoption among informal caregivers and offers practical strategies to improve their use. Addressing these challenges through training, inclusive design, and equitable access can enhance caregiver resilience and system sustainability in digital health integration.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1587162"},"PeriodicalIF":3.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes.","authors":"Michele Atzeni, Luca Cossu, Sergio Gaiotti, Giacomo Cappon, Mariaenrica Tinè, Daniele Previtero, Ylenia Padrin, Simonetta Baraldo, Umberto Semenzato, Martina Vettoretti","doi":"10.3389/fdgth.2025.1573342","DOIUrl":"10.3389/fdgth.2025.1573342","url":null,"abstract":"<p><strong>Introduction: </strong>Asthma management is complex, and while it is known that many environmental factors play a critical role in exacerbations, there is increasing interest on the role of air pollution. Yet, the precise relations by which these factors affect exacerbation risk are not fully understood. There is a need for innovative solutions to monitor and assess personal exposure to air pollutants in both outdoor and indoor environments to better understand their impact on respiratory outcomes, particularly asthma exacerbations. This paper introduces AirPredict, an innovative eHealth platform designed to enhance asthma management through the integration of wearable sensors, digital diaries, and ambient air quality monitoring.</p><p><strong>Methods: </strong>AirPredict comprises a mobile application for patients, a web interface for clinicians, and a robust cloud-based infrastructure. The platform utilizes devices such as the Fitbit Charge 6 for heart rate monitoring, the Atmotube PRO for air quality assessment, and the MIR SmartOne for spirometry, providing precise, real-time data on individual exposures and health outcomes. A feasibility study involving 16 participants, including asthma patients and specialized clinicians in Padova, Italy, was conducted to evaluate the usability of platform's components.</p><p><strong>Results: </strong>The results indicated high usability and user satisfaction, with average Single Ease Question (SEQ) scores ranging from of 6.8 to 5.5 out of 7 for patients and from 6.8 to 6.6 for clinicians, reflecting ease of use and functionality.</p><p><strong>Discussion: </strong>The findings support the platform's broader adoption and further development, highlighting its role in advancing eHealth solutions for chronic disease management.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1573342"},"PeriodicalIF":3.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179981/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital health literacy-a key factor in realizing the value of digital transformation in healthcare.","authors":"Sarah Wamala Andersson, Marta Pisano Gonzalez","doi":"10.3389/fdgth.2025.1461342","DOIUrl":"10.3389/fdgth.2025.1461342","url":null,"abstract":"<p><strong>Background: </strong>Digital health technologies and AI are transforming healthcare by improving access, optimizing care, and enabling personalized, preventive, and predictive solutions. However, digital health literacy remains a critical barrier, affecting individuals' ability to engage with digital health technologies (DHTs) and limiting progress toward digital health equity.</p><p><strong>Aims: </strong>To propose a framework that captures the complexity of digital health literacy and guides research, and to share key insights from the Improving Digital Empowerment for Active Healthy Living EU project.</p><p><strong>Results: </strong>We introduce a conceptual framework that explores digital health literacy's interactions with social determinants, providing a foundation for research, policy, and practice. Insights from the project (Improving Digital Empowerment for Active Healthy Living), involving 14 partners across 10 European countries, offer evidence-based strategies to empower individuals and promote digital inclusion.</p><p><strong>Concluding remarks: </strong>To keep pace with technological advancements, digital health literacy should be integrated into lifelong learning initiatives. Urgent research is needed to inform policies and guide interventions that enhance digital health literacy and ensure equitable digital transformation in healthcare.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1461342"},"PeriodicalIF":3.2,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12176768/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Radoslava Švihrová, Alvise Dei Rossi, Davide Marzorati, Athina Tzovara, Francesca Dalia Faraci
{"title":"Designing digital health interventions with causal inference and multi-armed bandits: a review.","authors":"Radoslava Švihrová, Alvise Dei Rossi, Davide Marzorati, Athina Tzovara, Francesca Dalia Faraci","doi":"10.3389/fdgth.2025.1435917","DOIUrl":"10.3389/fdgth.2025.1435917","url":null,"abstract":"<p><p>Recent statistics from the World Health Organization show that non-communicable diseases account for 74% of global fatalities, with lifestyle playing a pivotal role in their development. Promoting healthier behaviors and targeting modifiable risk factors can significantly improve both life expectancy and quality of life. The widespread adoption of smartphones and wearable devices enables continuous, in-the-wild monitoring of daily habits, opening new opportunities for personalized, data-driven health interventions. This paper provides an overview of the advancements, challenges, and future directions in translating principles of lifestyle medicine and behavior change into AI-powered mobile health (mHealth) applications, with a focus on Just-In-Time Adaptive Interventions. Considerations for the design of adaptive interventions that leverage wearable and contextual data to dynamically personalize behavioral change strategies in real time are discussed. Bayesian multi-armed bandits from reinforcement learning are exploited as a framework for tailoring interventions, with causal inference methods used to incorporate structural assumptions about the user's behavior. Furthermore, strategies for evaluation at both individual and population levels are presented, with causal inference tools to further guide unbiased estimates. A running example of a simple real-world scenario aimed at increasing physical activity through digital interventions is used throughout the paper. With input from domain experts, the proposed approach is generalizable to a wide range of behavior change use cases.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1435917"},"PeriodicalIF":3.2,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177897/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital horizons in non-communicable disease care: a bibliometric exploration of intervention impact and innovation.","authors":"Sudip Bhattacharya, Alok Singh, Akanksha Kashyap","doi":"10.3389/fdgth.2025.1528711","DOIUrl":"10.3389/fdgth.2025.1528711","url":null,"abstract":"<p><strong>Introduction: </strong>Digital interventions show considerable promise in managing non-communicable diseases (NCDs) within primary healthcare.</p><p><strong>Aim: </strong>The aim of this study was to conduct a comprehensive bibliometric analysis of research on digital interventions for individuals living with NCDs.</p><p><strong>Methodology: </strong>This study explores digital interventions in NCDs through a bibliometric analysis from 2014 to 2024. Carefully designed search queries targeted primary and combined terms to cover a wide range of NCDs, including cancer, diabetes, and hypertension. SCOPUS searches yielded 9,572 English-language articles, refined by excluding non-relevant works and duplicates. Metadata, including authorship, keywords, and citations, was extracted for analysis. Using Biblioshiny and VosViewer, the study examined publication trends, telemedicine applications, and the knowledge framework of the field. Conceptual themes were identified through co-occurrence mapping, intellectual structures via co-citation networks, and social structures through collaboration patterns among authors, institutions, and countries.</p><p><strong>Results: </strong>The upward trend in research on digital interventions and NCDs accelerated significantly after 2018, peaking in 2021, followed by a slight decline. Medicine dominates this field, with considerable contributions from biochemistry, health professions, and engineering. The most prolific authors, primarily from the United States, United Kingdom, and Australia, have significantly shaped this research area. Institutional contributions are led by Harvard Medical School and other global leaders, reflecting strong inter-institutional collaborations. The United States and the United Kingdom are the most productive countries, with the Journal of Medical Internet Research standing out as the leading publication. Keyword analysis reveals a focus on telemedicine, COVID-19, tele-health, and digital health. Co-citation analyses identify key intellectual frameworks, while co-authorship and institutional collaborations highlight robust global networks. Emerging trends emphasize AI, digital health tools, and patient self-management, underscoring a transformative shift in addressing NCDs through technology-driven interventions. The findings highlight the need for patient-centered applications, improved implementation strategies, and strengthened collaborations, especially in underrepresented regions, to enhance the global impact of digital interventions for NCDs.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1528711"},"PeriodicalIF":3.2,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12176826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}