BMC digital health最新文献

{"title":"Patterns of digital health access and use among US adults: A latent class analysis.","authors":"Phillip Hegeman, Daniel Vader, Kristyn Kamke, Sherine El-Toukhy","doi":"10.1186/s44247-024-00100-0","DOIUrl":"10.1186/s44247-024-00100-0","url":null,"abstract":"<p><strong>Background: </strong>Digital technologies allow users to engage in health-related behaviors associated with positive outcomes. We aimed to identify classes of US adults with distinct digital technologies access and health use patterns and characterize class composition. Data came from Health Information National Trends Survey Wave 5 Cycles 1-4, a nationally representative cross-sectional survey of US adults (<i>N</i>=13,993). We used latent class analysis to identify digital technologies access and health use patterns based on 32 ternary variables of behaviors and access to requisite technologies and platforms, including the internet, internet-enabled devices, health monitors, and electronic health records (EHRs). We ran a multinomial logistic regression to identify sociodemographic and health correlates of class membership (<i>n</i>=10,734).</p><p><strong>Results: </strong>Ten classes captured patterns of digital technology access and health use among US adults. This included a digitally isolated, a mobile-dependent, and a super user class, which made up 8.9%, 7.8%, and 13.6% of US adults, respectively, and captured access patterns from only basic cellphones and health monitors to near complete access to web-, mobile-, and EHR-based platforms. Half of US adults belonged to classes that lacked access to EHRs and relied on alternative web-based tools typical of patient portals. The proportion of class members who used digital technologies for health purposes varied from small to large. Older and less educated adults had lower odds of belonging to classes characterized by access or engagement in health behaviors. Hispanic and Asian adults had higher odds of belonging to the mobile-dependent class. Individuals without a regular healthcare provider and those who had not visited a provider in the past year were more likely to belong to classes with limited digital technologies access or health use.</p><p><strong>Discussion: </strong>Only one third of US adults belonged to classes that had near complete access to digital technologies and whose members engaged in almost all health behaviors examined. Sex, age, and education were associated with membership in classes that lacked access to 1+ digital technologies or exhibited none to limited health uses of such technologies. Results can guide efforts to improve access and health use of digital technologies to maximize associated health benefits and minimize disparities.</p>","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142633931","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":"Metadata recommendations for light logging and dosimetry datasets.","authors":"Manuel Spitschan, Grégory Hammad, Christine Blume, Christina Schmidt, Debra J Skene, Katharina Wulff, Nayantara Santhi, Johannes Zauner, Mirjam Münch","doi":"10.1186/s44247-024-00113-9","DOIUrl":"10.1186/s44247-024-00113-9","url":null,"abstract":"<p><strong>Background: </strong>Light exposure significantly impacts human health, regulating our circadian clock, sleep-wake cycle and other physiological processes. With the emergence of wearable light loggers and dosimeters, research on real-world light exposure effects is growing. There is a critical need to standardize data collection and documentation across studies.</p><p><strong>Results: </strong>This article proposes a new metadata descriptor designed to capture crucial information within personalized light exposure datasets collected with wearable light loggers and dosimeters. The descriptor, developed collaboratively by international experts, has a modular structure for future expansion and customization. It covers four key domains: study design, participant characteristics, dataset details, and device specifications. Each domain includes specific metadata fields for comprehensive documentation. The user-friendly descriptor is available in JSON format. A web interface simplifies generating compliant JSON files for broad accessibility. Version control allows for future improvements.</p><p><strong>Conclusions: </strong>Our metadata descriptor empowers researchers to enhance the quality and value of their light dosimetry datasets by making them FAIR (findable, accessible, interoperable and reusable). Ultimately, its adoption will advance our understanding of how light exposure affects human physiology and behaviour in real-world settings.</p>","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"2 1","pages":"73"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11349852/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115565","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":"<b>\"</b>Anything that would help is a positive development\": feasibility, tolerability, and user experience of smartphone-based digital phenotyping for people with and without type 2 diabetes.","authors":"A M McInerney, N Schmitz, M Matthews, S S Deschênes","doi":"10.1186/s44247-024-00116-6","DOIUrl":"https://doi.org/10.1186/s44247-024-00116-6","url":null,"abstract":"<p><strong>Background: </strong>Digital phenotyping, the in-situ collection of passive (phone sensor) and active (daily surveys) data using a digital device, may provide new insights into the complex relationship between daily behaviour and mood for people with type 2 diabetes. However, there are critical knowledge gaps regarding its use in people with type 2 diabetes. This study assessed feasibility, tolerability, and user experience of digital phenotyping in people with and without type 2 diabetes after participation in a 2-month digital phenotyping study in Ireland. At study completion, participants rated methodology elements from \"not a problem\" to a \"serious problem\" on a 5-point scale and reported their comfort with the potential future use of digital phenotyping in healthcare, with space for qualitative expansion.</p><p><strong>Results: </strong>Eighty-two participants completed baseline. Attrition was 18.8%. Missing data ranged from 9-44% depending on data stream. Sixty-eight participants (82.9%) completed the user experience questionnaire (51.5% with type 2 diabetes; 61.8% female; median age-group 50-59). Tolerability of digital phenotyping was high, with \"not a problem\" being selected 76.5%-89.7% of the time across questions. People with type 2 diabetes (93.9%) were significantly more likely to be comfortable with their future healthcare provider having access to their digital phenotyping data than those without (53.1%), χ2 (1) = 14.01, <i>p</i> =  < .001. Free text responses reflected a range of positive and negative experiences with the study methodology.</p><p><strong>Conclusions: </strong>An uncompensated, 2-month digital phenotyping study was feasible among people with and without diabetes, with low attrition and reasonable missing data rates. Participants found digital phenotyping to be acceptable, and even enjoyable. The potential benefits of digital phenotyping for healthcare may be more apparent to people with type 2 diabetes than the general population.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1186/s44247-024-00116-6.</p>","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"2 1","pages":"55"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11390910/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302339","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 intervention for children with ADHD to improve mental health intervention, patient experiences, and outcomes: a study protocol.","authors":"Nancy Herrera, Franceli L Cibrian, Lucas M Silva, Jesus Armando Beltran, Sabrina E B Schuck, Gillian R Hayes, Kimberley D Lakes","doi":"10.1186/s44247-024-00134-4","DOIUrl":"10.1186/s44247-024-00134-4","url":null,"abstract":"<p><strong>Background: </strong>Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition with profound public health, personal, and family consequences. ADHD requires comprehensive treatment; however, lack of communication and integration across multiple points of care is a substantial barrier to progress. Given the chronic and pervasive challenges associated with ADHD, innovative approaches are crucial. We developed the digital health intervention (DHI)-CoolTaCo [Cool Technology Assisting Co-regulation] to address these critical barriers. CoolTaCo uses Patient-Centered Digital Healthcare Technologies (PC-DHT) to promote co-regulation (child/parent), capture patient data, support efficient healthcare delivery, enhance patient engagement, and facilitate shared decision-making, thereby improving access to timely and targeted mental health intervention for children at significant risk for poor outcomes. The present paper will describe our planned protocol to evaluate the efficacy of CoolTaCo via randomized control trial (RCT).</p><p><strong>Methods/design: </strong>We will recruit 60 children (ages 8-12) with ADHD who will be randomized to either immediate (<i>n</i> = 30) or delayed (<i>n</i> = 30) treatment (i.e., a waitlist control group). Among those randomized to immediate treatment, half will be assigned to DHI (delivered via a smartwatch and smartphone application), the other half to an active control treatment as usual (TAU). Unlike the DHI group, the TAU group will receive the smartwatch with no assigned activities, applications, or interventions on the devices. The intervention period will last 16 weeks; after a participant has been in the delayed treatment group for 16 weeks and has completed the post-waiting period assessment, they will be randomly assigned to either the intervention or active control group. Thus, 30 participants will complete the intervention, and 30 will complete the active control, with half of the total sample completing a waitlist period.</p><p><strong>Discussion: </strong>Individuals with ADHD have complex needs. Despite improvement in outcomes following cognitive behavioral therapies (CBT) and pharmaceutical treatment, long-term maintenance is a challenge often not addressed by traditional medical approaches, and, as we described, ineffective approaches to information sharing across points of care create further barriers to progress. Our research will fill a significant gap in translating early treatment investments and gains into long-term, sustainable outcomes.This study was registered as a clinic trial at ClinicalTrials.gov (Digital Health Intervention for Children With ADHD, ID# NCT06456372) on 06/13/2024.</p>","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"2 1","pages":"78"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11534993/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592409","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":"Randomized pilot trial of cell phone support to improve medication adherence among adolescents and young adults with chronic health conditions.","authors":"Caitlin S Sayegh, Karen K MacDonell, Ellen Iverson, Breaon Beard, Nancy Chang, My H Vu, Marvin Belzer","doi":"10.1186/s44247-024-00069-w","DOIUrl":"https://doi.org/10.1186/s44247-024-00069-w","url":null,"abstract":"<p><strong>Introduction: </strong>Adolescents and young adults (AYA) living with chronic medical conditions often struggle to develop medication adherence skills. This pilot trial evaluated the impact of a mobile health coaching intervention, Cell Phone Support (CPS), on medication adherence.</p><p><strong>Methods: </strong>Interventions in this randomized trial were CPS delivered by phone calls (CPS-C), CPS delivered by text messages (CPS-T), or automated text message reminders (ATR). Participants were AYA with different chronic medical conditions (i.e., sickle cell disease, solid organ transplant, type 2 diabetes), aged 15-20 years (<i>N</i> = 34). We examined the feasibility, acceptability, and preliminary efficacy of each intervention.</p><p><strong>Results: </strong>We examined the feasibility, acceptability, and preliminary efficacy of both CPS interventions. CPS was feasible and acceptable. There was evidence that participants found CPS to be more useful than ATR. In this pilot trial, participants receiving CPS reported relatively stronger increases in adherence, compared to those assigned to ATR. CPS-C slightly outperformed CPS-T.</p><p><strong>Conclusions: </strong>Providing coaching to AYA struggling with illness self-management via their cell phones may promote their acquisition of medication adherence skills. Although larger studies are needed to confirm the results of this pilot study, phone calls and text messages are both promising modalities for delivering human cell phone support.</p><p><strong>Trial registration: </strong>This trial was registered prospectively at ClinicalTrials.gov (NCT04241627) on 1/27/2020.</p>","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115566","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":"Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness","authors":"Aislinn D Gómez Bergin, Michael P Craven","doi":"10.1186/s44247-023-00054-9","DOIUrl":"https://doi.org/10.1186/s44247-023-00054-9","url":null,"abstract":"","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"46 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A digital values-based microintervention for chronic back pain patients: lessons learned from a randomised experimental single-case study","authors":"Simon Felix Zerth, Hauke Jeldrik Hein, J. Glombiewski, Winfried Rief, J. Riecke","doi":"10.1186/s44247-023-00053-w","DOIUrl":"https://doi.org/10.1186/s44247-023-00053-w","url":null,"abstract":"","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":"13 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138971745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Closing the patient-provider gap along the surgical journey one click at a time: results of a phase I pilot trial of a patient navigation tool","authors":"Sami Shoucair, Gregory Downing, Jacqueline O’Rourke, Liza Greenberg, Mike Yea, Gunjan Vatas, Paula Kim, Thomas Fishbein, Keith Unger, Emily Winslow","doi":"10.1186/s44247-023-00049-6","DOIUrl":"https://doi.org/10.1186/s44247-023-00049-6","url":null,"abstract":"","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":" 699","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138610746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antenatal care management platform","authors":"Abdulmalik Aliyi, Bruk Mesfin, Fuad Hassen, Gemechu Dejene, Hawi Wondimu, Mignot Yizengaw, Derartu Dereje, Ahmed Ali Dawud","doi":"10.1186/s44247-023-00052-x","DOIUrl":"https://doi.org/10.1186/s44247-023-00052-x","url":null,"abstract":"","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":" 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138619246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential effects of the individualized gender-sensitive mHealth intervention I-GENDO on eating styles in individuals with overweight and obesity – a randomized controlled trial","authors":"Caroline Seiferth, Tanja Färber, Magdalena Pape, Natalie Schoemann, Anna Dieberger, Stefanie Schroeder, Stephan Herpertz, Jörg Wolstein, Sabine Steins-Loeber","doi":"10.1186/s44247-023-00041-0","DOIUrl":"https://doi.org/10.1186/s44247-023-00041-0","url":null,"abstract":"Abstract Background Addressing cognitive behavioral factors is associated with a favorable development of eating styles (i.e., increased levels of restrained eating, decreased levels of external and emotional eating) in individuals with overweight and obesity. Research suggests that the use of digital interventions that consider gender aspects regarding prevalence, comorbidities, and weight-related behaviors could enhance existing treatment options. This randomized controlled trial aimed to evaluate the effectiveness of the self-guided gender-sensitive mobile health intervention I-GENDO on restrained, emotional and external eating, body mass index, and physical activity at the end of the intervention, and at a 9- and 15-month follow-up. Methods Two hundred thirteen individuals (67% female, body mass index: 33.35 ± 3.79 kg/m 2 ) were randomly assigned to the intervention or control group. Multilevel models were calculated to investigate differences between groups. I-GENDO offered interactive modules addressing psychological content associated with obesity. Users were able to self-tailor intervention content based on their individual needs and life realities. Results Restrained eating was higher in the intervention group after the intervention (95% CI: 0.20, 0.36) and at 9-months (95% CI: 0.07, 0.24). At 9-months, emotional eating among women was lower in the intervention group compared to the control group (95% CI: -0.44, -0,19). In the intervention group, external eating was lower after the intervention, which remained significant for women at 9 (95% CI: -0.40, -0.19) and 15-months (95% CI: -0.34, -0.13). Body mass index of men in the intervention group was 1.44 lower at 15-months than in the control group. No significant effects on physical activity were found. Conclusions The I-GENDO intervention was effective in changing restrained eating of both women and men in the long-term, suggesting that a self-guided, gender-sensitive approach is promising. However, the differential effects on the outcome measures indicate that more research is warranted to examine distinct gender-sensitive mechanisms of digital psychological interventions (i.e., dose–response relationship, blended counselling). Trial registration ClinicalTrials.gov identifier: NCT04080193 , 06–09-2019.","PeriodicalId":72426,"journal":{"name":"BMC digital health","volume":" 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}