DIGITAL HEALTH最新文献

{"title":"Digital health technologies and innovation patterns in diabetes ecosystems.","authors":"Odile-Florence Giger, Estelle Pfitzer, Wasu Mekniran, Hannes Gebhardt, Elgar Fleisch, Mia Jovanova, Tobias Kowatsch","doi":"10.1177/20552076241311740","DOIUrl":"10.1177/20552076241311740","url":null,"abstract":"<p><strong>Background: </strong>The global rise in type-2 diabetes (T2D) has prompted the development of new digital technologies for diabetes management. However, despite the proliferation of digital health companies for T2D care, scaling their solutions remains a critical challenge. This study investigates the digital transformation of T2D ecosystems and seeks to identify key innovation patterns. We examine: (1) What are emerging organizations in digital diabetes ecosystems? (2) What are the value streams in digital T2D ecosystems? (3) Which innovation patterns are present in digital T2D ecosystems?</p><p><strong>Methods: </strong>We conducted a literature review and market analysis to characterize organizations and value streams in T2D ecosystems, pre- and post-digital transformation. We used the e3-value methodology to visualize T2D ecosystems (RQ1 and RQ2) and conducted expert interviews to identify emerging innovation patterns in digital diabetes ecosystems (RQ3).</p><p><strong>Results: </strong>Our analyses revealed the emergence of eight organization segments in digital diabetes ecosystems: real-world evidence analytics, healthcare management platforms, clinical decision support, diagnostic and monitoring, digital therapeutics, wellness, online community, and online pharmacy (RQ1). Visualizing the value streams among these organizations highlights the crucial importance of individual health data (RQ2). Furthermore, our analysis revealed four major innovation patterns within the digital diabetes ecosystem: open ecosystem strategies, outcome-based payment models, platformization, and user-centric software (RQ3).</p><p><strong>Conclusions: </strong>Our findings illustrate the transition from traditional value chains in T2D care to platform-based and outcome-oriented models. These innovation patterns can inform strategic decisions for companies and healthcare providers, potentially helping anticipate new digital trends in diabetes care and across other chronic disease ecosystems.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076241311740"},"PeriodicalIF":2.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11795620/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An evidence-based tailored eHealth patient education tool for patients with knee osteoarthritis: A randomized controlled trial.","authors":"Chong Li, Chuanmei Zhu, Kangping Song, Xiaona Xiang, Xiaoyi Wang, Jing Hu, Zhao Li, Yi Deng, Daoxin Jiang, Lixin Guo, Ting Ren, Luwen Zhu, Haibo Ai, Shaojun Zhang, Zhongliang Liu, Yonghong Yang, Siyi Zhu, Chengqi He","doi":"10.1177/20552076251317230","DOIUrl":"10.1177/20552076251317230","url":null,"abstract":"<p><strong>Background: </strong>An evidence-based eHealth education tool was developed for patients with knee osteoarthritis (KOA). This study aimed to evaluate the long-term effectiveness on patient knowledge level and analyzed the patient's satisfaction with the proposed tool.</p><p><strong>Methods: </strong>A two-arm randomized controlled trial was performed, with 218 KOA patients allocated 1:1 to two groups by balanced block randomization. Both groups received usual care and additionally, the eHealth group used the proposed eHealth tool during the process. The primary outcome measure was the validated osteoarthritis patient knowledge questionnaire (PKQ-OA). The secondary outcome was patients' satisfaction with the eHealth tool. Measurements were taken at baseline, post-intervention (T1), 1-month (T2), 3-month (T3), and 6-month (T4) follow-up. Statistical analyses, including ANOVA and chi-square tests, were employed to compare outcomes between the groups.</p><p><strong>Results: </strong>The results of the PKQ-OA indicated that patients in the eHealth group (38.7% ± 25%, 95% confidence interval (CI), 33.9%-43.4%) performed significantly better than the usual care group (28.8% ± 21.1%, 95% CI, 24.9%-32.9%) in terms of correct responses to the knowledge assessment in T1(<i>P</i> = 0.001). In addition, a higher percentage of patients in the eHealth group (39.4%) achieved a score of at least 50% on the knowledge assessment compared to the usual care group (14.6%). Patients who received eHealth education perceived it as a valuable tool for education. The analysis of follow-up data showed that the knowledge level of the eHealth group was higher than that of the control group at 6 months (<i>F</i> = 0.727, <i>P</i> = 0.471), but there was no significant difference.</p><p><strong>Conclusion: </strong>Patients educated using an evidence-based eHealth education tool showed significant improvements in knowledge and were more likely to achieve an adequately informed status. The evidence-based eHealth tool could offer a low-cost, effective educational device.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251317230"},"PeriodicalIF":2.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11800247/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Care partner experience with telepresence robots in long-term care during COVID-19 pandemic.","authors":"Grace Hu, Joey Wong, Lily Haopu Ren, Sarah Kleiss, Annette Berndt, Lily Wong, Ali Hussein, Nazia Ahmed, Jim Mann, Lillian Hung","doi":"10.1177/20552076251319820","DOIUrl":"10.1177/20552076251319820","url":null,"abstract":"<p><strong>Objective: </strong>As people living with dementia move into long-term care (LTC), their care partners face a difficult role change from primary caregiver to visitor, losing a significant degree of control and direct care involvement. The COVID-19 pandemic exacerbated these challenges with health risks, changing care home protocols, and government policies. To help address these challenges, this study aimed to investigate the experiences of care partners who used telepresence robots to maintain contact with and care for their loved ones during the pandemic.</p><p><strong>Methods: </strong>This study was guided by the Collaborative Action Research (CAR) approach. Along with interdisciplinary researchers and trainees, our team included patient and family partners as co-researchers throughout the project. We conducted semi-structured interviews with 20 care partners who used the robots in five urban Canadian LTC homes between May 2021 and August 2023.</p><p><strong>Results: </strong>Thematic analysis identified four key themes characterizing their experiences using the robot: (a) decreases care partner burden, (b) facilitates care partner-staff relationship, (c) creates relational autonomy, and (d) expands the scope of what is possible.</p><p><strong>Conclusion: </strong>The results of the study suggest that telepresence robots can play a useful role in enhancing the caregiving experience for informal care partners in multifaceted ways. Care partners reported positive benefits of having the robot assist their virtual visits. However, further research is needed to determine the sustainability of robot implementation among diverse geographic regions and care home compositions.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251319820"},"PeriodicalIF":2.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11800240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to \"Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population\".","authors":"","doi":"10.1177/20552076251316131","DOIUrl":"https://doi.org/10.1177/20552076251316131","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1177/20552076241297057.].</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251316131"},"PeriodicalIF":2.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11800237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cost-effectiveness of the Floodlight^® MS app in Austria. Unlocking the mystery of costs and outcomes of a digital health application for patients with multiple sclerosis.","authors":"Evelyn Walter, Matthäus Traunfellner, Franz Meyer, Christian Enzinger, Michael Guger, Christian Bsteh, Patrick Altmann, Harald Hegen, Christoph Goger, Veronika Mikl","doi":"10.1177/20552076251314550","DOIUrl":"10.1177/20552076251314550","url":null,"abstract":"<p><strong>Objective: </strong>Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease affecting 2.9 million people worldwide, often leading to permanent disability. MS patients frequently use eHealth tools due to their relatively young age. The Floodlight^® MS app is a scientifically designed smartphone application that helps patients monitor hand motor skills, walking ability and cognition between medical appointments. This study assesses the cost-effectiveness of using the Floodlight^® MS app alongside standard-of-care (SoC) versus SoC alone in patients with relapsing-remitting MS (RRMS) from the perspective of the healthcare system.</p><p><strong>Methods: </strong>A 10-year decision-analytic model was developed to assess the cost-effectiveness of incorporating the Floodlight^® MS app alongside SoC. The analysis included treatment-naive individuals and those already on drug therapy, modelling the app's role in early detection of disease progression and relapses to improve quality-of-life.</p><p><strong>Results: </strong>For treatment-naive patients, using the Floodlight^® MS app resulted in a 2,660 € increase in total costs but yielded potential medical-cost savings of 786 € through health improvements. These patients experienced fewer relapses and slower disability progression, translating to a quality-of-life improvement of 4.5 months in perfect health and an incremental-cost-effectiveness-ratio (ICER) of 7,071 €. Pre-treated patients showed similar trends, with medical-cost savings of 718 €, an ICER of 7,864 €, and a quality-of-life improvement of 4.2 months. Higher effectiveness (+5%) led to an additional 8.3 months in perfect health and a reduction in overall costs.</p><p><strong>Conclusion: </strong>The analysis demonstrates that the Floodlight^® MS app is a cost-effective digital health application, encouraging broader discussions on maximizing the potential of software-as-medical-devices within the care pathway.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251314550"},"PeriodicalIF":2.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11795621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MoodMover: Development and usability testing of an mHealth physical activity intervention for depression.","authors":"Yiling Tang, Madelaine Gierc, Henry La, Juehee Kim, Sam Liu, Raymond W Lam, Eli Puterman, Guy Faulkner","doi":"10.1177/20552076251317756","DOIUrl":"10.1177/20552076251317756","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) is recognized as a modifiable lifestyle factor for managing depression. An application(app)-based intervention to promote PA among individuals with depression may be a viable alternative or adjunct to conventional treatments offering increased accessibility.</p><p><strong>Objective: </strong>This paper describes the early stages of the development process of MoodMover, a 9-week app-based intervention designed to promote PA for people with depression, including its usability testing.</p><p><strong>Methods: </strong>Development of MoodMover followed the initial stages of the Integrate, Design, Assess, and Share (IDEAS) framework. The development process included (1) identifying intervention needs and planning; (2) intervention development; and (3) usability testing and refinement. Usability testing employed a mixed-methods formative approach via virtual semi-structured interviews involving goal-oriented tasks and administration of the mHealth App Usability Questionnaire (MAUQ).</p><p><strong>Results: </strong>Drawing on formative research, a multidisciplinary research team developed the intervention, guided by the Multi-Process Action Control framework. Nine participants engaged in the usability testing with the MoodMover prototypes receiving an average MAUQ score of 5.79 (SD = 1.04), indicating good to high usability. Necessary modifications were made based on end-users' feedback.</p><p><strong>Conclusions: </strong>The development of MoodMover, the first theoretically informed app-based PA intervention for individuals with depression, may provide another treatment option, which has wide reach. The comprehensive usability testing indicated interest in the app and strong perceptions of usability enabling a user-centered approach to refine the app to better align with end-users' preferences and needs. Testing the feasibility and preliminary efficacy of the refined MoodMover is now recommended.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251317756"},"PeriodicalIF":2.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792034/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study.","authors":"Jane Hoffman, Rachel Wenke, Rebecca L Angus, Lucy Shinners, Brent Richards, Laetitia Hattingh","doi":"10.1177/20552076241311144","DOIUrl":"10.1177/20552076241311144","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) has the potential to revolutionise healthcare. If the implementation is successful it has the potential to improve healthcare outcomes for patients and organisations. Little is known about the perceptions of allied health professionals (AHPs) towards AI in healthcare.</p><p><strong>Objective: </strong>This study investigated barriers and enablers to AI implementation in the delivery of healthcare from the AHPs perspective.</p><p><strong>Methods: </strong>Qualitative methodology informed by behaviour change theory using focus groups with AHPs at a health service in Queensland, Australia.</p><p><strong>Results: </strong>Twenty-four barriers and 24 enablers were identified by 25 participants across four focus groups. Barriers included: lack of AI knowledge, explainability challenges, risk to professional practice, negative impact on professional practice, and role replacement. Enablers include AI training and education, regulation, reputation, understanding the healthcare benefits of AI and engaging clinical champions.</p><p><strong>Conclusions: </strong>AHPs have concerns about the impact and trustworthiness of AI and the readiness of organisations to support its use. Organisations must take a proactive approach and adopt targeted and multifaceted strategies to address barriers. This may include workforce upskilling, clear communication of the benefits of AI use of local champions and ongoing research.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076241311144"},"PeriodicalIF":2.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792011/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of a 12-week digital training equipment program on cognitive function and mental health in older women: a randomized controlled trial.","authors":"Byung-Sun Lee, Bong Du Choi, Ho Sung Park, Chae Won Seo, Kyung-Ae Kim","doi":"10.1177/20552076251314353","DOIUrl":"10.1177/20552076251314353","url":null,"abstract":"<p><strong>Objective: </strong>Combined interventions of physical activity and cognitive training have been shown to effectively enhance physical and mental factors in older adults. Digital-based tools offer various social advantages and may be more effective in improving the physical and mental well-being of older adults. As digital health content can simultaneously provide physical activity and cognitive training, this study aims to investigate the effects of a digital-based physical and cognitive training program on the physical and mental health of older women and to explore the potential of digital tools for older adults.</p><p><strong>Methods: </strong>The participants, older women, engaged in the program three times a week for 12 weeks, with each session lasting 30 minutes (10 minutes for each of the three components). The content included digital health tools such as VR, motion tracking, and touchscreens designed for cognitive and physical fitness. Measurements were taken one week before and after the intervention for both groups, assessing body composition, cognitive function, depression, and quality of life.</p><p><strong>Results: </strong>Data from 36 participants were analyzed. Interaction effects were observed in body fat mass (<i>P</i> = .011) and body fat percentage (<i>P</i> = .01), with improvements noted in the digital intervention group. Cognitive function (<i>P</i> = .017) and depression (<i>P</i> = .017) also showed significant improvements in the digital intervention group. Quality of life subdomains, including Physical Function (<i>P</i> = .009), Limitation of Physical Function (<i>P</i> = .004), and Pain (<i>P</i> = .002), demonstrated significant interaction effects, though no interaction effects were found in other subdomains.</p><p><strong>Conclusion: </strong>This study found that digital-based combined interventions did not significantly impact body comb position but did improve cognitive function and depression in older women. These findings suggest that digital tools can be effectively utilized for the comprehensive management of cognitive function and mental health well-being. Such insights contribute to promoting healthy aging and provide an efficient method for managing the mental and physical health of older adults.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251314353"},"PeriodicalIF":2.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792008/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The satisfaction of clients and caregivers with telehealth speech-language pathology services.","authors":"Reem S W Alyahya","doi":"10.1177/20552076241313163","DOIUrl":"10.1177/20552076241313163","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the satisfaction of service users with different aspects related to telehealth speech-language pathology (SLP) services, and examine the influence of client's demographics, medical diagnosis, and type of clinical services on the level of satisfaction with telehealth services.</p><p><strong>Methods: </strong>A questionnaire was developed and validated to measure the satisfaction of clients and caregivers with telehealth services. Phone survey was used to collect data from clients and caregivers of clients who received telehealth SLP services.</p><p><strong>Results: </strong>302 clients and caregivers completed the survey. Most of the respondents were strongly satisfied with different aspects related to telehealth, including their whole telehealth experience (82.12%), the perceived benefits from telehealth (69.21%), and the perceived quality of healthcare received through telehealth (87.75%). The levels of satisfaction with these aspects were not related to age or gender, but they were significantly influenced by the SLP diagnosis (<i>p </i>< 0.001). The results also showed high levels of satisfaction across all types of clinical services, including screening, assessment, therapy, and monitoring. There were no significant relationships between the types of clinical services and the levels of satisfaction with telehealth.</p><p><strong>Conclusions: </strong>Most clients and caregivers were satisfied with SLP services received via telehealth irrespective of the type of clinical service, client's age, or gender. However, satisfaction with SLP telehealth and patient experience varied according to the client's diagnosis. These factors must be considered by policy makers and funding bodies while planning the implementation or expansion of telehealth SLP services.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076241313163"},"PeriodicalIF":2.9,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11789122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How eHealth use and cancer information-seeking influence older adults' acceptance of genetic testing: Mediating roles of PIGI and cancer worry.","authors":"Yinxia Zhu, Qian Erica Xiao, Man Chon Ao, Xinshu Zhao","doi":"10.1177/20552076251317658","DOIUrl":"10.1177/20552076251317658","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to investigate how eHealth use and information-seeking behavior affect older adults' acceptance of genetic testing, focusing on their participation in genetic tests and their willingness to adopt lifestyle changes based on test results. The research highlights the mediating roles of the perceived importance of genetic information (PIGI) and cancer worry.</p><p><strong>Methods: </strong>This cross-sectional study used secondary data from the Health Information National Trends Survey (HINTS 5, Cycle 4), conducted in 2020. The analysis included 1852 adults aged 60 and above. Two mediation models were tested using SPSS 25. Model 1 examined the relationship between eHealth use, perceived importance of genetic information (PIGI), and genetic test behavior. Model 2 analyzed how cancer information-seeking influences willingness to change lifestyle behavior (WCLB) based on genetic test results, with cancer worry as a mediator.</p><p><strong>Results: </strong>Both models showed statistically significant mediation effects (<i>p</i> < 0.05). Model 1 found that eHealth use positively influences genetic test behavior through PIGI. Model 2 revealed that cancer information-seeking indirectly impacts willingness to change lifestyle behavior (WCLB) based on the genetic test results via cancer worry, confirming a full mediation effect. Additionally, among demographic variables, educational level was the strongest predictor of genetic test behavior, while gender significantly predicted WCLB, with older female adults showing higher intentions to change their lifestyle based on genetic test results than males.</p><p><strong>Conclusion: </strong>The study highlights the pivotal roles of PIGI and cancer worry in shaping older adults' acceptance of genetic testing, encompassing both performing genetic test behaviors and adopting lifestyle changes based on test results. These findings offer actionable insights for designing targeted health communication strategies and interventions to enhance genetic testing uptake and foster proactive health management among older populations.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251317658"},"PeriodicalIF":2.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786290/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}