DIGITAL HEALTH最新文献

{"title":"COVID-19 recognition from chest X-ray images by combining deep learning with transfer learning.","authors":"Chang-Jiang Zhang, Lu-Ting Ruan, Ling-Feng Ji, Li-Li Feng, Fu-Qin Tang","doi":"10.1177/20552076251319667","DOIUrl":"10.1177/20552076251319667","url":null,"abstract":"<p><strong>Objective: </strong>Based on the current research status, this paper proposes a deep learning model named Covid-DenseNet for COVID-19 detection from CXR (computed tomography) images, aiming to build a model with smaller computational complexity, stronger generalization ability, and excellent performance on benchmark datasets and other datasets with different sample distribution features and sample sizes.</p><p><strong>Methods: </strong>The proposed model first extracts and obtains features of multiple scales from the input image through transfer learning, followed by assigning internal weights to the extracted features through the attention mechanism to enhance important features and suppress irrelevant features; finally, the model fuses these features of different scales through the multi-scale fusion architecture we designed to obtain richer semantic information and improve modeling efficiency.</p><p><strong>Results: </strong>We evaluated our model and compared it with advanced models on three publicly available chest radiology datasets of different types, one of which is the baseline dataset, on which we constructed the model Covid-DenseNet, and the recognition accuracy on this test set was 96.89%, respectively. With recognition accuracy of 98.02% and 96.21% on the other two publicly available datasets, our model performs better than other advanced models. In addition, the performance of the model was further evaluated on external test sets, trained on data sets with balanced sample distribution (experiment 1) and unbalanced sample distribution (experiment 2), identified on the same external test set, and compared with DenseNet121. The recognition accuracy of the model in experiment 1 and experiment 2 is 80% and 77.5% respectively, which is 3.33% and 4.17% higher than that of DenseNet121 on external test set. On this basis, we also changed the number of samples in experiment 1 and experiment 2, and compared the impact of the change in the number of training set samples on the recognition accuracy of the model on the external test set. The results showed that when the number of samples increased and the sample features became more abundant, the trained Covid-DenseNet performed better on the external test set and the model became more robust.</p><p><strong>Conclusion: </strong>Compared with other advanced models, our model has achieved better results on multiple datasets, and the recognition effect on external test sets is also quite good, with good generalization performance and robustness, and with the enrichment of sample features, the robustness of the model is further improved, and it has better clinical practice ability.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251319667"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416085","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":"Development of an evidence-informed implementation strategy for a digital supportive care platform for brain tumour patients, their carers and healthcare professionals.","authors":"Verena Schadewaldt, Teresa O'Brien, Mahima Kalla, Meinir Krishnasamy, Kara Burns, Sarah Ce Bray, Cecily Gilbert, Richard De Abreu Lourenco, Joseph Thomas, Daniel Capurro, Wendy Chapman, Ann Borda, Rana S Dhillon, James R Whittle, Katharine J Drummond","doi":"10.1177/20552076251316713","DOIUrl":"10.1177/20552076251316713","url":null,"abstract":"<p><strong>Background: </strong>Implementation challenges of digital health solutions (DHSs) comprise complexities of behavioural change, resource limitation, inertia in existing systems, and failure to include consumer preferences. Understanding the factors which contribute to successful implementation of DHS is essential. We report the development of an implementation strategy for Brain Tumours Online (BT Online), a digital supportive care platform for patients with brain tumours, their carers and healthcare professionals.</p><p><strong>Aim: </strong>To develop an evidence-informed implementation strategy for BT Online, considering the specific barriers and facilitators to implementing DHS for adults with a brain tumour and their carers and healthcare professionals.</p><p><strong>Methods: </strong>A rapid review methodology was used to summarise factors relevant to implementation of DHS for people affected by cancer. Themes from the review were supported by implementation guidelines for DHS and the combined evidence informed the implementation strategy. Each theme was matched with specific steps for implementing BT Online.</p><p><strong>Results: </strong>The rapid review identified 10 themes, namely, awareness of the new digital platform; institutional integration and support; data security, the quality, usability and accessibility of the platform; belief in the benefit of the platform; the need for holistic and tailored features; the timing of introducing the platform; engagement of healthcare professionals; and the re-definition of roles and workload. The themes were matched with 51 concrete implementation steps.</p><p><strong>Discussion: </strong>The purpose of the strategy was to minimise risk of implementation failure, consider the specific context of care and generate a reference framework to evaluate BT Online prior to upscaling to use outside the research context. Our method contributes a novel approach of developing an evidence-informed rigorous implementation strategy if existing implementation frameworks do not apply.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251316713"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822819/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416136","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":"Process evaluation of technologically assisted senior care using mixed methods: Results of the virtual assisted living (VAL, German: VBW Virtuell Betreutes Wohnen) project.","authors":"Eva Jansen, Juliana Supplieth, Sonia Lech, Jan Zöllick, Johanna Schuster","doi":"10.1177/20552076241308445","DOIUrl":"10.1177/20552076241308445","url":null,"abstract":"<p><strong>Objective: </strong>Technologically assisted support systems and social support in everyday life can help senior citizens live longer independently in their homes. The purpose of this process evaluation is to investigate an innovative care model integrating monitoring technology with social support services, aimed at enabling senior citizens to live independently and extend their longevity in their homes.</p><p><strong>Methods: </strong>Data collection of this mixed-method study was conducted through three distinct sources: expert interviews with employees of the participating social service, focus groups with seniors participating in the intervention, and involved consortium partners in the project. Following Kuckartz's methodology, we employed a structural qualitative content analysis using MAXQDA software. Additionally, a portion of the standardized survey administered post-intervention to participants was analyzed using descriptive statistics.</p><p><strong>Results: </strong>The focus groups identified key challenges related to technical implementation such as false alarms and the failure of sensors as well as communication between invested parties. However, significant potential was noted in the practical execution of the intervention and social care. Interview participants emphasized the need for improved technical implementation. Results from the questionnaires indicate a generally positive perception of the intervention, particularly regarding its social dimensions.</p><p><strong>Conclusions: </strong>Surveying individuals who implement and utilize assistive technology can yield valuable insights into its effectiveness. Additionally, it is crucial to comprehensively and in detail capture the experiences of those involved in testing new care models. Future research on assistive technologies for older adults should integrate both technical and social support components, while also addressing secure data protection measures and the paradox of reassurance.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076241308445"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822844/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416142","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":"Development and implementation of a home-based prehabilitation app for older patients undergoing elective colorectal cancer surgery. A Prospective Cohort Study.","authors":"Thomas Gc Timmers, Lennaert Cb Groen, Hermien Schreurs, Emma Rj Bruns","doi":"10.1177/20552076251317760","DOIUrl":"10.1177/20552076251317760","url":null,"abstract":"<p><strong>Background: </strong>Prehabilitation optimizes colorectal cancer patients' health during the preoperative waiting period, by increasing functional capacity, reducing postoperative complications, and speeding recovery. However, challenges in implementation include patients' willingness to attend multiple hospital visits, and hospitals needing trained personnel, facilities, and financial resources. An app-based prehabilitation program could address these issues by allowing patients to participate from home with remote support from healthcare professionals.</p><p><strong>Objective: </strong>To develop and evaluate the feasibility of a digital application to offer multimodal home-based prehabilitation for older patients undergoing surgery for colorectal cancer.</p><p><strong>Materials and methods: </strong>This single-center prospective cohort study at Northwest Clinics (Alkmaar and Den Helder, The Netherlands) included patients scheduled for elective surgery for the curative treatment of colorectal cancer. The Patient Journey App was used to deliver prehabilitation. The primary outcome was the number of patients who downloaded and activated the app. Secondary outcomes included usage information, videos viewed, questionnaires answered, and signals triggered.</p><p><strong>Results: </strong>Ninety-seven patients were included in the study (age 72.1 [SD 0.8], 62.9% male). All patients used the app daily for a median of 29 days (IQR 23-28). Exercise videos were viewed most. Ninety-five patients activated daily exercise and protein shake reminders. Patients provided 1367 answers, triggering 79 signals related to smoking cessation, nutrition, and exercise. Response rates to in-app questionnaires were high, up to 90.5%.</p><p><strong>Conclusions: </strong>Home-based prehabilitation via an app for older colorectal cancer surgery patients is feasible. Given the effectiveness of prehabilitation programs, the scarcity of healthcare professionals, and patients' reluctance for frequent in-person visits, home-based prehabilitation programs via an app could become a valuable added modality for offering these programs.</p><p><strong>Trial registration: </strong>2020.0600 (VU University Medical Center).</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251317760"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416134","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":"Protocol for a usability and pilot implementation study of a digital medical device to assess pain in non-verbal people with dementia in Portuguese residential care facilities.","authors":"Mara Pereira Guerreiro, Isa Brito Félix, Morgane Tomé, Kreshnik Hoti, Catarina Ramos, Beatriz Dias, Teresa Andrade, José Brito, Jeff Hughes","doi":"10.1177/20552076241311326","DOIUrl":"10.1177/20552076241311326","url":null,"abstract":"<p><strong>Objective: </strong>People living with moderate to severe dementia (PLWD) are often unable to self-report pain. This matter is of particular concern given that up to 80% experience chronic pain. Mistreated or untreated pain in PLWD is associated with symptoms such as agitation and aggression, and unnecessary use of antipsychotic agents. Further, it can also engender mental burden in formal caregivers. The PainChek^® App, a regulatory cleared class I medical device, enables the assessment and monitoring of pain in people who cannot verbalise it, such as those with moderate to severe dementia. To date there are no data on the real-world use of the PainChek^® App in Portugal. To address this gap, we report the protocol of a pilot study, which combines usability evaluation and implementation research.</p><p><strong>Methods: </strong>Usability evaluation of the PainChek^® (Portuguese) App will be guided by the ISO framework, focused on effectiveness, efficiency and user satisfaction. Implementation research will combine qualitative interviews to inform the implementation process, a longitudinal study of formal caregivers' psychological variables, implementation outcomes, plus qualitative interviews to explore the 'hows' and 'whys' of implementation. The NASSS framework will be used as an implementation framework, together with the COM-B model and the Theoretical Domains Framework.</p><p><strong>Results: </strong>The usability and implementation studies have received ethics approval from the Egas Moniz Ethics Committee, under numbers 1367 and 64/24, respectively.</p><p><strong>Conclusion: </strong>This study is expected to inform the scale-up of the PainChek^® (Portuguese) App in real-world settings and establish a foundation for a larger effectiveness and implementation study.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076241311326"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416144","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":"Test-retest reliability of the computer-based cognitive assessment tool for community-dwelling older adults in Japan: The Otassha study.","authors":"Jou-Yin Chen, Hisashi Kawai, Junta Takahashi, Manami Ejiri, Keigo Imamura, Shuichi P Obuchi","doi":"10.1177/20552076251317627","DOIUrl":"10.1177/20552076251317627","url":null,"abstract":"<p><strong>Aim: </strong>Early detection of dementia is crucial for effective intervention. The computer-based cognitive assessment tool (CompBased-CAT) was designed to assess cognitive function using a tablet computer. While its predictive validity for mild cognitive impairment (MCI) is established, its test-retest reliability remains unclear. This study aimed to evaluate the test-retest reliability of CompBased-CAT among older Japanese adults in a community setting.</p><p><strong>Methods: </strong>This is a methodological study that examined the test-retest reliability of CompBased-CAT. Community-dwelling older adults aged 65 years or older who participated in both the pre-test and post-test were included. Pre-test assessments were conducted during the 2023 Otassha study from 28 September to 8 October 2023, with the post-test administered 62 days (±14 days) later. Subtest scores were normalized to <i>z</i>-scores, and the total CompBased-CAT score was computed by summing these <i>z</i>-scores. Test-retest reliability was assessed using paired <i>t</i>-tests and intraclass correlation coefficient (ICC) two-way random-effects models, with analyses stratified by age, sex, and MCI status.</p><p><strong>Results: </strong>A total of 80 participants (mean age: 76.8 years; 27.5% male) were analyzed. Paired <i>t</i>-tests showed no significant difference in total scores between the pre-test (mean = -0.75; standard deviation [SD] = 3.73) and the post-test (mean = -0.42; SD = 4.45). The total score exhibited an ICC of 0.64 (95% confidence interval [CI] = 0.49-0.75) for all participants, increasing to 0.74 (95% CI = 0.48-0.88) among those with MCI.</p><p><strong>Conclusion: </strong>CompBased-CAT demonstrated good test-retest reliability, with an ICC of 0.64 among all participants, which increased to 0.74 among participants with MCI over a 2-month period, indicating its potential for monitoring cognitive function through repeated assessments.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251317627"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416146","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":"Diagnostic accuracy and radiographic interpretation of pre-eruptive intra-coronal resorption among dental practitioners using eye-tracking technology.","authors":"Jamila Almashaikhi, Heba M Elkhodary, Ghalia Y Bhadila, Osama M Felemban, Amani A Al Tuwirqi","doi":"10.1177/20552076251315620","DOIUrl":"10.1177/20552076251315620","url":null,"abstract":"<p><strong>Background: </strong>Pre-eruptive intra-coronal resorption (PEIR) is a condition in which unerupted teeth exhibit coronal radiolucency consistent with resorptive loss of coronal tooth structure. These lesions are discovered incidentally on routine radiographs.</p><p><strong>Aim: </strong>To measure the radiographic interpretation and diagnostic accuracy of PEIR among dental practitioners at King Abdulaziz University Dental Hospital using eye-tracking technology.</p><p><strong>Methods: </strong>In this cross-sectional study, 125 interns, general dentists, and postgraduate residents examined five panoramic radiographs, including a case of impaction, and the rest were radiographs with PEIR of different severities. In this study, PEIR recognition was assessed using a validated questionnaire uploaded to an eye-tracking device (Sensomotoric Instruments SMI).</p><p><strong>Results: </strong>The findings revealed an association between the severity of the PEIR lesion and the detection of the affected teeth. As the severity increased, the participants were more able to identify the affected teeth, and the percentage of overlooking decreased. The dentist's level of education and years of clinical experience influenced the diagnostic accuracy and radiographic interpretation of the PEIR lesions.</p><p><strong>Conclusions: </strong>The diagnostic accuracy and radiographic interpretation of PEIR lesions were affected by participants' level of education and years of clinical experience. Based on this study, PEIR lesions may remain undetected until they reach advanced stages.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251315620"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416138","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":"Possible challenges to the widespread use of colposcopic artificial intelligence auxiliary diagnostic system in clinical practice.","authors":"Hongnan Ye","doi":"10.1177/20552076251320312","DOIUrl":"10.1177/20552076251320312","url":null,"abstract":"","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251320312"},"PeriodicalIF":2.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822807/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416140","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":"Feasibility, acceptability, usability and quality of life levels in post-stroke patients undergoing telerehabilitation: Results from a multicentric pilot study.","authors":"Luisa Cacciante, Sara Federico, Lorenza Maistrello, Pawel Kiper, Roberto De Icco, Tommaso Milanesi, Cristina Tassorelli, Roberto Gatti, Johanna Jonsdottir, Marco Franceschini, Michela Goffredo, Rocco Salvatore Calabrò, Andrea Turolla","doi":"10.1177/20552076241308617","DOIUrl":"10.1177/20552076241308617","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to evaluate the feasibility of an integrated multi-domain telerehabilitation (TR) system in stroke patients and to observe whether there are changes in the quality of life (QoL) levels of patients undergoing TR treatments.</p><p><strong>Methods: </strong>Patients were enrolled for a longitudinal multicentric pilot study conducted in six Italian research hospitals (IRCCS). The primary outcome was the feasibility of an integrated TR system, assessed by calculating treatment adherence and by collecting data from the Technology Acceptance Model and the System Usability Scale (SUS). Information on time and travel distance savings was also collected. As secondary outcomes, we evaluated changes in QoL levels with the EuroQol 5-dimensions (EQ-5D) and the Short Form-36 (SF-36) and in caregiver burden through the Zarit Burden Inventory.</p><p><strong>Results: </strong>We enrolled 84 patients. Our system turned out to be feasible (treatment adherence = 85%), usable (SUS = 73.36/100, classifying it as a 'good' system) and well accepted by patients. Quality of life levels improved significantly from pre- to post-treatment (EQ-5D: <i>p</i> = 0.0014; SF-36 general health: <i>p</i> = 0.047). Caregivers perceived little or no significant care burden.</p><p><strong>Conclusions: </strong>Telerehabilitation has been confirmed to be a feasible, usable and acceptable solution to guarantee continuity of care and improve accessibility to rehabilitation treatments to post-stroke patients. Furthermore, the strength of TR is in the possibility to improve patients' QoL, which in turn could impact on functioning.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076241308617"},"PeriodicalIF":2.9,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11815802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143411512","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":"Focus groups on digital cognitive assessment in the context of Alzheimer's disease.","authors":"Sophie M van der Landen, Rosanne L van den Berg, Matthijs J Keijzer, Mariska N van Liere, Casper de Boer, Leonie N C Visser, Wiesje M van der Flier, Hanneke F M Rhodius-Meester, Sietske A M Sikkes","doi":"10.1177/20552076251318903","DOIUrl":"10.1177/20552076251318903","url":null,"abstract":"<p><strong>Introduction: </strong>Digital cognitive assessments (DCAs) may facilitate early recognition of cognitive decline in the context of Alzheimer's disease (AD). While DCAs are increasingly emerging, they are often not used in practice. We assessed facilitators and barriers of using DCAs according to older individuals and patients.</p><p><strong>Methods: </strong>In five focus groups, we presented three different DCAs to older individuals with unimpaired cognition (<i>n</i> = 14), subjective cognitive decline (<i>n</i> = 11) and mild cognitive impairment with biomarker-confirmed AD (<i>n</i> = 4) and their caregivers (<i>n</i> = 2). Participants discussed facilitators and barriers that could influence the use of DCAs. Focus groups were recorded, and transcripts were analysed using thematic analysis.</p><p><strong>Results: </strong>Three main themes were identified: (1) test motivation ('Do I want to know my brain health?'), facilitated by early disease recognition, while impeded by fear of dementia; (2) digital test suitability ('Do I want to use a <i>digital</i> test?'), enabling at-home testing, while lacking personal contact; and (3) digital test characteristics ('What makes a digital test a good test for me?'), where user-friendliness was emphasized as a key facilitator to overcome digital incompetence.</p><p><strong>Discussion: </strong>Participants recognized the added value of DCAs, and multiple factors were identified as facilitators and barriers for their use. Similar factors could be a barrier for one, yet facilitated others, underlining the need for a personalized approach. Strategies to minimize barriers and exploit facilitators would ultimately foster implementation.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251318903"},"PeriodicalIF":2.9,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11815793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143411513","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}