Frontiers in digital health最新文献

{"title":"Returning individual wearable sensor results to participants: perspectives on challenges and lessons learned.","authors":"Krista S Leonard-Corzo, Shelby L Bachman, Jennifer M Blankenship, Ieuan Clay, Kate Lyden","doi":"10.3389/fdgth.2025.1569452","DOIUrl":"https://doi.org/10.3389/fdgth.2025.1569452","url":null,"abstract":"<p><p>With increased adoption of digital health technologies in clinical trials, sponsors and investigators are often faced with the challenge of promoting participant compliance and engagement. One strategy that may provide value to participants and, as such, help improve compliance with digital health technologies is to return individual study results to participants. Clinical research participants have consistently expressed their desire to receive individual study results following participation in a trial, and trial sponsors and investigators are eager to comply. However, multiple challenges and barriers to its implementation mean that return of results is rarely carried out, despite alignment around its value. This perspective discusses the potential benefits of returning individual study results, including improved participant engagement and compliance, increased patient trust, and increased sense of health ownership. We also discuss the practical challenges of and barriers to returning individual study results from digital health technologies back to participants related to what, how, and when to return results. We assert that clinical trial sponsors and investigators should consider returning individual study results to participants and propose potential solutions to address specific challenges.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1569452"},"PeriodicalIF":3.2,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11975874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812912","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":"The role of trustworthy and reliable AI for multiple sclerosis.","authors":"Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver","doi":"10.3389/fdgth.2025.1507159","DOIUrl":"10.3389/fdgth.2025.1507159","url":null,"abstract":"<p><p>This paper investigates the importance of Trustworthy Machine Learning (ML) in the context of Multiple Sclerosis (MS) research and care. Due to the complex and individual nature of MS, the need for reliable and trustworthy ML models is essential. In this paper, key aspects of trustworthy ML, such as out-of-distribution generalization, explainability, uncertainty quantification and calibration are explored, highlighting their significance for healthcare applications. Challenges in integrating these ML tools into clinical workflows are addressed, discussing the difficulties in interpreting AI outputs, data diversity, and the need for comprehensive, quality data. It calls for collaborative efforts among researchers, clinicians, and policymakers to develop ML solutions that are technically sound, clinically relevant, and patient-centric.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1507159"},"PeriodicalIF":3.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804976","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":"The role of social media messages and content creators in shaping COVID-19 vaccination intentions.","authors":"Xiaofeng Jia, Soyeon Ahn, Susan E Morgan","doi":"10.3389/fdgth.2025.1448884","DOIUrl":"10.3389/fdgth.2025.1448884","url":null,"abstract":"<p><strong>Introduction: </strong>Social media plays a crucial role in shaping health behaviors by influencing users' perceptions and engagement with health-related content. Understanding these dynamics is important as new social media technologies and changing health behaviors shape how people engage with health messages.</p><p><strong>Aim: </strong>The current study explored the relationship between the characteristics of content creators, the messaging strategies employed in social media, and users' engagement with social media content, and whether these features are linked to users' behavioral intentions.</p><p><strong>Methods: </strong>This study adopts a cross-sectional survey design. A total of 1,141 participants were recruited. We have developed a structural equation model to investigate the relationships between the characteristics of content creators, the messaging strategies employed in social media, users' perceived HBM constructs, user engagement, and users' behavioral intentions.</p><p><strong>Results: </strong>Results revealed that social media posts focusing on self-efficacy were linked to increased willingness to engage in healthy behaviors. Additionally, individuals who demonstrate stronger perceptions of HBM constructs-such as higher perceived susceptibility and benefits of vaccination-are more likely to engage with posts, which was associated with higher vaccination intention. Posts authored by celebrities garnered a relatively higher number of favorites, while a greater proportion of politicians as content creators was linked to increased user comment intention.</p><p><strong>Conclusion: </strong>Our study underscores the potential of integrating the Health Belief Model into social media to help promote health behaviors like the COVID-19 vaccination. Furthermore, our findings offer valuable insights for professionals and policymakers, guiding them in crafting effective message strategies and selecting appropriate sources to promote health behaviors on social media platforms.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1448884"},"PeriodicalIF":3.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804862","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":"Advancements and challenges in methodological approaches for game-based health interventions: a scoping review.","authors":"Shaina Glass, Alexia Galati","doi":"10.3389/fdgth.2025.1561422","DOIUrl":"10.3389/fdgth.2025.1561422","url":null,"abstract":"<p><strong>Introduction: </strong>Applying game design techniques to create engaging health interventions has become more common, though still met with challenges and criticisms. This scoping literature review evaluates the extent to which recent health-based game intervention studies have improved from past criticisms around the process of game development, theoretical grounding, and implementation in terms of research design.</p><p><strong>Methods: </strong>Following a search of relevant databases and an AI tool (Elicit.org), 26 published articles met our selection criteria of reporting a game-based health intervention task developed by the article's authors. In each article, the reported theoretical grounding, use of game mechanics, and methodologies for developing and implementing game-based interventions were assessed. Our procedure involved coding for psychological or game design theories, game mechanics, and the research methods and design approaches used for intervention development. We reasoned that articles grounded in theory would be more likely to report effective methodologies and support for their design choices.</p><p><strong>Results: </strong>Our findings revealed that authors frequently used quantitative methods to determine intervention impact, explicitly referenced psychological (vs. game design) theory more frequently, and used more than one game mechanic in the interventions. In line with recommendations, the majority of studies used large sample sizes and applied their interventions in real-world settings.</p><p><strong>Discussion: </strong>Despite these improvements, we identified areas of growth: utilizing interdisciplinary teams, user-centered and iterative approaches, and standardizing the reporting of intervention design components. This review is intended to inform the future of applied game design in health contexts.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1561422"},"PeriodicalIF":3.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973360/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804857","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":"A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support.","authors":"Chenxu Hao, Susanne Uusitalo, Caroline Figueroa, Quirine T S Smit, Michael Strange, Wen-Tseng Chang, M I Ribeiro, Vanita Kouomogne Nana, Myrthe L Tielman, Maaike H T de Boer","doi":"10.3389/fdgth.2025.1544185","DOIUrl":"10.3389/fdgth.2025.1544185","url":null,"abstract":"<p><p>As intelligent systems become more integrated into people's daily life, systems designed to facilitate lifestyle and behavior change for health and well-being have also become more common. Previous work has identified challenges in the development and deployment of such AI-based support for diabetes lifestyle management and shown that it is necessary to shift the design process of AI-based support systems towards a human-centered approach that can be addressed by hybrid intelligence (HI). However, this shift also means adopting a user-centric design process, which brings its own challenges in terms of stakeholder involvement, evaluation processes and ethical concerns. In this perspective paper, we aim to more comprehensively identify challenges and future research directions in the development of HI systems for behavior change from four different viewpoints: (1) challenges on an individual level, such as understanding the individual end-user's context (2) challenges on an evaluation level, such as evaluation pipelines and identifying success criteria and (3) challenges in addressing ethical implications. We show that developing HI systems for behavior change is an interdisciplinary process that requires further collaboration and consideration from various fields.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1544185"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965347/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782116","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":"Artificial intelligence application in counselling practices. A multigroup analysis of acceptance and awareness using gender and professional rank.","authors":"Usani Joseph Ofem, Pauline Mbua Anake, Cyril Bisong Abuo, James Omaji Ukatu, Eugene Onor Etta","doi":"10.3389/fdgth.2024.1414178","DOIUrl":"10.3389/fdgth.2024.1414178","url":null,"abstract":"<p><strong>Introduction: </strong>Artificial intelligence (AI) has emerged as a transformative tool in various professional domains, including counselling, where it offers innovative ways to enhance service delivery and client outcomes. Despite its potential, research on AI in counselling practices often focuses on its technical applications, with limited attention to the interplay between awareness, acceptance, and application. This study analyses how professional counsellors apply artificial intelligence in counselling practices using the nexus between awareness and application through acceptance of AI with gender and professional rank as group.</p><p><strong>Method: </strong>A total of 5,432 professional counsellors were selected for the study. Data collection was conducted online to ensure a wide reach. The research instruments underwent validity checks, demonstrating high content and factorial validity. Convergent and discriminant validity were confirmed using the Average Variance Extracted (AVE) and Fornel-Larcker criterion.</p><p><strong>Results: </strong>The findings revealed that professional counsellors exhibited high levels of awareness, acceptability, and application of AI in their counselling practices. Acceptance played a positive mediating role in the relationship between awareness and application. However, male practitioners and professors displayed stronger awareness, acceptance, and application of AI tools compared to their counterparts.</p><p><strong>Conclusion: </strong>The study highlights the significant role of acceptance in bridging awareness and application of AI in counselling practices. It underscores the importance of addressing gender and professional rank disparities to ensure equitable adoption and utilization of AI tools. The findings offer valuable insights for policymakers in promoting the integration of AI in counselling to enhance professional practices.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"6 ","pages":"1414178"},"PeriodicalIF":3.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143775094","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":"Synthetic data generation: a privacy-preserving approach to accelerate rare disease research.","authors":"Jorge M Mendes, Aziz Barbar, Marwa Refaie","doi":"10.3389/fdgth.2025.1563991","DOIUrl":"10.3389/fdgth.2025.1563991","url":null,"abstract":"<p><p>Rare disease research faces significant challenges due to limited patient data, strict privacy regulations, and the need for diverse datasets to develop accurate AI-driven diagnostics and treatments. Synthetic data-artificially generated datasets that mimic patient data while preserving privacy-offer a promising solution to these issues. This article explores how synthetic data can bridge data gaps, enabling the training of AI models, simulating clinical trials, and facilitating cross-border collaborations in rare disease research. We examine case studies where synthetic data successfully replicated patient characteristics, and supported predictive modelling and ensured compliance with regulations like GDPR and HIPAA. While acknowledging current limitations, we discuss synthetic data's potential to revolutionise rare disease research by enhancing data availability and privacy file enabling more efficient and effective research efforts in diagnosing, treating, and managing rare diseases globally.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1563991"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11958975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764401","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":"Experience developing a pediatric medical chatbot in Singapore: a digital innovation for improved emergency care.","authors":"Choo Min, Rong Xiu Cynthia Lim, Sek Wan Tan, Sashikumar Ganapathy","doi":"10.3389/fdgth.2025.1557804","DOIUrl":"10.3389/fdgth.2025.1557804","url":null,"abstract":"<p><p>This community case study explores the lessons learnt from the development of the Urgent Paediatric Advice Line (UPAL), a medical chatbot designed to address key challenges in pediatric healthcare, including emergency department (ED) overcrowding, health-seeking behavior, and health literacy. The chatbot was developed by pediatric specialists in collaboration with an AI-driven technology partner to provide caregivers with timely, accurate, and accessible guidance for managing pediatric health concerns. By helping parents assess the severity of their child's symptoms and navigate appropriate care pathways, UPAL aims to reduce unnecessary ED visits and improve health literacy. The development process employed an iterative, user-centered approach to refine the algorithm and enhance the user experience, with key challenges including balancing clinical reliability with user empathy. By offering evidence-based advice tailored to individual symptoms, UPAL empowers caregivers to make more informed decisions about their child's care. This case study highlights the potential of digital health solutions to empower caregivers, improve patient engagement, and increase healthcare access, particularly in pediatric settings. The study underscores the lessons for the field-namely the importance of interdisciplinary collaboration, continuous iterative development, patient-centered design, and active stakeholder engagement in creating effective digital health tools. Looking forward, future developments will include the incorporation of generative AI to provide more humanistic and personalized responses, as well as the creation of a post-discharge outreach module to provide proactive post-discharge support to caregivers, further enhancing healthcare delivery in a rapidly evolving digital landscape.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1557804"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959085/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766062","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":"Stepping toward implementation using co-design: development of hospital protocols and resources for using wearable activity trackers in a hospital service.","authors":"Kimberley Szeto, Aaron Davis, John Arnold, Ian Gwilt, Aislin Forrest, Isaac Heyne, Anthony Hewitt, Peter Diestel-Feddersen, Dominique Edwards, Ben Singh, Carol Maher","doi":"10.3389/fdgth.2025.1520991","DOIUrl":"10.3389/fdgth.2025.1520991","url":null,"abstract":"<p><strong>Introduction: </strong>Low levels of patient physical activity during a hospital stay are linked to a variety of poor outcomes. Wearable activity trackers can help to boost patient activity and improve other outcomes during a hospitalisation, but a range of implementation barriers exist. Co-design research methodologies provide opportunities to bridge evidence-practice gaps, such as the implementation of wearable activity trackers to promote patient activity, by developing solutions and strategies in collaboration with key stakeholders. This co-design study aimed to develop a protocol and resources to support the implementation of wearable activity trackers into a rehabilitation service at a South Australian hospital.</p><p><strong>Methods: </strong>Three co-design workshops that employed an involvement partnership with 26 rehabilitation clinicians were conducted. User journey storyboards, empathy maps, and world café activities were used to understand processes of using technology with patients in the hospital, identify protocol components for using WATs, and create resources to support its implementation.</p><p><strong>Results: </strong>Using a co-design approach, this study developed a protocol for using WATs in a hospital rehabilitation services, identified key themes underpinning its implementation, and created a set of resources to support its delivery.</p><p><strong>Discussion: </strong>This study identified key elements to support implementation of WATs in hospital rehabilitation, and expands the evidence base for using co-design approaches in health research, and may support WAT implementation in other settings.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1520991"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959083/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766064","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 stress and friendship conflict in adolescence: the role of perceived norms and features of social media.","authors":"Federica Angelini, Gianluca Gini","doi":"10.3389/fdgth.2025.1497222","DOIUrl":"10.3389/fdgth.2025.1497222","url":null,"abstract":"<p><strong>Introduction: </strong>Digital stress, resulting from expectations of online availability, can increase the risk of conflicts with friends. However, friendship conflict remains an underexplored indicator, particularly in association with stressful online experiences. This study aims to examine the association between digital stress and conflict levels overtime, considering the role of social media expectations.</p><p><strong>Method: </strong>1185 adolescents (59.3% f, Mage = 15.97 years, <i>SD</i> = 1.43) completed self-report measures at two timepoints, six months apart. A Structural Equation Model was employed to examine the longitudinal associations of social media expectations (i.e., friends' social media norms, friends' social media use, and perceived social media features) on friendship conflict, focusing on the mediating role of digital stress (i.e., entrapment and disappointment). Gender differences were explored.</p><p><strong>Results: </strong>Perceived norms about social media use and unique features of social media (i.e., visualness) contributed to explain digital stress and, in turn, friendship conflict. Specifically, emotional responses to unmet expectations of availability on social media (i.e., disappointment) emerged as particularly relevant in explaining conflictual interactions, compared to the perceived pressure to be responsive to friends (i.e., entrapment). Males perceiving high availability of social media experience lower levels of entrapment, compared to females.</p><p><strong>Discussion: </strong>Results from this study support the importance of considering social media as a context where to study friendship dynamics, as this knowledge can have several implications for promoting positive online experiences and preventing conflicts with friends.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1497222"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766061","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}