PLOS digital health最新文献

{"title":"Multi-modal machine learning approach for early detection of neurodegenerative diseases leveraging brain MRI and wearable sensor data.","authors":"Andrew Li, Jie Lian, Varut Vardhanabhuti","doi":"10.1371/journal.pdig.0000795","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000795","url":null,"abstract":"<p><p>Neurodegenerative diseases, such as Alzheimer's and Parkinson's Disease, pose a significant healthcare burden to the aging population. Structural MRI brain parameters and accelerometry data from wearable devices have been proven to be useful predictors for these diseases but have been separately examined in the prior literature. This study aims to determine whether a combination of accelerometry data and MRI brain parameters may improve the detection and prognostication of Alzheimer's and Parkinson's disease, compared with MRI brain parameters alone. A cohort of 19,793 participants free of neurodegenerative disease at the time of imaging and accelerometry data capture from the UK Biobank with longitudinal follow-up was derived to test this hypothesis. Relevant structural MRI brain parameters, accelerometry data collected from wearable devices, standard polygenic risk scores and lifestyle information were obtained. Subsequent development of neurodegenerative diseases among participants was recorded (mean follow-up time of 5.9 years), with positive cases defined as those diagnosed at least one year after imaging. A machine learning algorithm (XGBoost) was employed to create prediction models for the development of neurodegenerative disease. A prediction model consisting of all factors, including structural MRI brain parameters, accelerometry data, PRS, and lifestyle information, achieved the highest AUC value (0.819) out of all tested models. A model that excluded MRI brain parameters achieved the lowest AUC value (0.688). Feature importance analyses revealed 18 out of 20 most important features were structural MRI brain parameters, while 2 were derived from accelerometry data. Our study demonstrates the potential utility of combining structural MRI brain parameters with accelerometry data from wearable devices to predict the incidence of neurodegenerative diseases. Future prospective studies across different populations should be conducted to confirm these study results and look for differences in predictive ability for various types of neurodegenerative diseases.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000795"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12027105/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045870","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":"Methodological approaches and author-reported limitations in evaluation studies of digital health technologies (DHT): A scoping review of DHT interventions for cancer, diabetes mellitus, and cardiovascular diseases.","authors":"Nyangi Gityamwi, Jo Armes, Jenny Harris, Emma Ream, Richard Green, Anand Ahankari, Alison Callwood, Athena Ip, Jane Cockle-Hearne, Wendy Grosvenor, Agnieszka Lemanska, Simon S Skene","doi":"10.1371/journal.pdig.0000806","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000806","url":null,"abstract":"<p><p>Digital health technology (DHT) holds the potential to improve health services, and its adoption has proliferated in recent decades owing to technological advancement. Optimal evaluation methodologies appropriate for generating quality evidence on DHT have yet to be established; traditional comparative designs present several limitations. This study aimed to scope the literature to highlight common methodological approaches used and their limitations to inform considerations for designing robust DHT evaluation studies. A scoping review was conducted following the Joanna Briggs Institute (JBI) scoping review guidelines. A systematic search was conducted using the CINAHL (EBSCO), MEDLINE (EBSCOhost), PsycINFO (EBSCO), EMBASE (Elsevier) and Web of Science (Clarivate Analytics) databases using iteratively developed search terms. We selected studies published in English between January 2016 and March 2022 and focussed on primary research evaluating the effectiveness of DHT with technology-user interactive or asynchronous features for adults (≥18 years) with cancer, diabetes or cardiovascular conditions. The final number of articles, after the screening and selection process, comprised 140 records. Data were analysed descriptively (frequency and percentages) and summarised thematically. Results showed most studies (n = 104, 74.3%) employed the standard two-arm parallel RCT design, with usual/standard care as the preferred comparator in nearly half (n = 65, 47.1%) of all included studies. Of the 104 comparative studies reviewed, limitations in recruitment were most frequently reported (n = 70, 37%), followed by limitations in evaluation/measurement techniques (n = 57, 27%), presence of confounding factors (n = 50, 24%) and short duration of studies (n = 24, 11%). The review highlights the need to consider inclusive approaches to recruitment and adoption of the emerging methodological approaches that account for the fast-paced, multi-component and group contamination problem resulting from the unconcealable nature of DHT interventions.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000806"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12021190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054877","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":"\"It is very convenient when it works - successes and challenges with welfare technology\" - a qualitative study.","authors":"Samantha A Svärdh, Giana Carli Lorenzini, Ulli Samuelsson, Steven M Schmidt, Susanne Iwarsson, Sofi Fristedt","doi":"10.1371/journal.pdig.0000844","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000844","url":null,"abstract":"<p><p>Welfare technology (WT) use is increasingly advocated to facilitate aging in place. However, it remains unclear how older adults and homecare staff perceive these digital technologies in practice. This qualitative study investigated the ways in which current WT either facilitated or fell short in supporting older adults in their daily lives and homecare staff at work. Four key themes were developed using thematic analysis: 1) Successes and challenges with ease of use (i.e., how simple it is to interact with the WT); 2) Successes and challenges with usefulness (i.e., how effective the WT is in achieving its intended purpose); 3) Challenges with appearance, sounds and physical location; and 4) Challenges with technical maintenance and vulnerabilities. Findings revealed paradoxes in both older adult and homecare staff user perceptions. For instance, some successes with WT's usefulness were highlighted, like GPS safety alarms in supporting older adult independence. However, challenges in usefulness were also exposed, like staff hiding \"overused\" safety alarms. Except for the medication robot, none of the WT devices clearly alleviated anticipated homecare staff shortages. WT perceived as auditorily or visually inadequate, that required more effort than users could comfortably manage, or that organizations could seamlessly integrate, were generally regarded as challenging. To overcome such challenges, greater involvement from older adults and homecare staff in the design and implementation of WT within homecare contexts is necessary. Refined criteria for prescribing WT to individuals, particularly regarding cognitive status, are additionally recommended by the researchers.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000844"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12021168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060650","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":"High-flying precision medicine: Leveraging wearable technology for in-flight emergencies.","authors":"Daniel Seung Kim, Ewan Webster, Fatima Rodriguez, Eleni Linos","doi":"10.1371/journal.pdig.0000834","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000834","url":null,"abstract":"","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000834"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12021171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045530","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":"Preclinical usability evaluation of the Liveborn app: A mobile health application that provides feedback for neonatal resuscitation.","authors":"Daniel Ishoso, Eric Mafuta, Kourtney Bettinger, Carl Bose, Benjamin H Chi, Ingunn Haug, Patricia Gomez, Joar Eilevstjønn, Abigail McRea, Helge Myklebust, Antoinette Tshefu, Jackie K Patterson","doi":"10.1371/journal.pdig.0000814","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000814","url":null,"abstract":"<p><p>Neonatal mortality, particularly due to failure to breathe at birth, remains a significant challenge in low- and middle-income countries (LMICs). Effective neonatal resuscitation is essential to improving survival, but is challenging to implement consistently at the bedside. The Liveborn mobile health application for newborn resuscitation was developed to provide real-time guidance and support debriefing for healthcare workers in LMICs. Liveborn allows an observer to document the timing of key actions during a resuscitation; it then compares the observer data to recommended care and provides data-driven feedback. This study aimed to evaluate the usability of Liveborn in simulated resuscitations. We conducted two rounds of simulated resuscitations using Liveborn with midwives at one health facility in the Democratic Republic of Congo. Each round included ten simulations, with half testing real-time guidance and half focusing on debriefing. Between rounds, Liveborn was iteratively refined based on analysis of video-recordings of the simulations and participant surveys. Midwives' perceptions of usability and feasibility were assessed using previously validated survey tools including the System Usability Scale (SUS) with a score >68 considered above average, and the Feasibility of Intervention Measure (FIM) with a score >12 considered above neutral. Round 1 of testing identified several key usability issues including difficulty accurately recording events, poor adherence to audio guidance that was insufficiently specific, and poor flow of debriefing for intrapartum stillbirth cases. The Liveborn app, after iterative refinement, demonstrated excellent usability (median SUS score of 90 [Q1, Q3: 85, 95]) and excellent feasibility (median FIM score of 19 [16, 20]). Further research is needed to assess Liveborn's effectiveness in real clinical settings and its impact on neonatal outcomes in LMICs.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000814"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12017530/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143993964","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":"Effectiveness of unguided internet-based computer self-help platforms for eating disorders (with or without an associated app): A systematic review.","authors":"Alessandra Diana Gentile, Yosua Yan Kristian, Erica Cini","doi":"10.1371/journal.pdig.0000684","DOIUrl":"10.1371/journal.pdig.0000684","url":null,"abstract":"<p><strong>Background: </strong>Following the COVID-19 pandemic, internet-based computer self-help platforms for eating disorders (EDs) became increasingly prevalent as a tool to effectively prevent and treat ED symptoms and related behaviours. This systematic review explored the effectiveness of unguided internet-based computer self-help platforms for EDs.</p><p><strong>Methods: </strong>From inception to the 31st of May 2024, a systematic search of Ovid MEDLINE, Embase, Global Health, and APA PsycInfo was conducted. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Outcome quality assessments were conducted according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE).</p><p><strong>Results: </strong>12 RCTs, with a total of 3400 participants, were included. 2 studies explored the effectiveness as primary prevention, 7 as secondary prevention, and 3 as tertiary intervention. The gathered literature demonstrated unguided internet-based computer self-help platforms as effective in reducing ED core symptoms and related behaviours, with psychoeducation, cognitive behavioural, and dissonance-based approaches being the most prevalent approaches.</p><p><strong>Conclusions: </strong>Unguided internet-based computer self-help platforms are effective in the short-term reduction of ED symptoms and associated behaviours and should be implemented in the early stages of a tiered healthcare system for ED treatments.</p><p><strong>Trial registration: </strong>Prospero (CRD42024520866).</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000684"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12017517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054976","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":"Factors motivating maternal healthcare clients to use mHealth interventions in rural Malawi.","authors":"Priscilla Maliwichi, Wallace Chigona, Address Malata","doi":"10.1371/journal.pdig.0000805","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000805","url":null,"abstract":"<p><p>Client-facing mHealth interventions have the potential to address the inequalities in accessing health information. In maternal healthcare, mHealth interventions provide information to pregnant women on how they can stay healthy during pregnancy, as well as on the danger signs in pregnancy that can contribute to maternal mortality. This study investigated why maternal healthcare clients are motivated to use mHealth interventions. Data was collected using secondary data sources and semi-structured interviews with maternal clients who used Chipatala Cha Pa Foni mHealth intervention. The study found that access to and attitudes towards technology motivated maternal healthcare clients to use the mHealth intervention. Furthermore, women in rural areas were motivated to use mHealth interventions when the technology suppresses social-cultural norms, technology is designed with affordance potency in mind, women have trust in the source of information, and when communities practice the culture of sharing. These findings have the potential to broaden the understanding of what and why beneficiaries of digital health might be motivated to use digital technologies in poor-resource settings.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000805"},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058000","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 worldwide research overview of Artificial Proprioception in prosthetics.","authors":"Octavio Diaz-Hernandez","doi":"10.1371/journal.pdig.0000809","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000809","url":null,"abstract":"<p><p>Proprioception is the body's ability to sense its position and movement, which is essential for motor control. Its loss after amputation poses significant challenges for prosthesis users. Artificial Proprioception enhances sensory feedback and motor control in prosthetic devices. This review provides a global overview of current research and technology in the field, emphasizing feedback mechanisms, neural interfaces, and biomechatronic integration. This work examines innovations in sensory feedback for amputees, including electrotactile and vibrotactile stimulation, artificial intelligence, and neural interfaces to enhance prosthetic control. The methodology involved reviewing studies from Scopus, Web of Science, and PubMed on prosthetic proprioceptive feedback from 2004 to 2024, evaluating sensory feedback research by author, country, and affiliation with a synthesis provided. Countries like the United States and Italy are collaborating to advance global research. The paper concludes with potential developments, such as advanced, user-centered prosthetics that meet amputees' sensory needs and significantly enhance their quality of life.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000809"},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013951/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060652","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 effects of an app to prevent negative outcomes of cyberbullying: A cluster randomized controlled trial.","authors":"Helene Høgsdal, Sabine Kaiser, Geraldine Mabille, Kyrre Breivik, Frode Adolfsen, Monica Martinussen, Henriette Kyrrestad","doi":"10.1371/journal.pdig.0000819","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000819","url":null,"abstract":"<p><p>Experiencing cyberbullying and negative incidents online can negatively affect adolescents' mental health and well-being. NettOpp is a mobile application aiming to reduce the harmful effects of cyberbullying and negative incidents online on mental health outcomes. To evaluate the effect of the mobile app, a cluster randomized controlled trial design with three measurement points was conducted. Thirty-two Norwegian primary and secondary schools were randomly assigned to either an intervention group where the pupils (n = 259) got access to NettOpp during the study period, or to a waiting-list control group where the pupils (n = 327) got access to NettOpp after the study period. No significant findings were found in the intention-to-treat analyses, but the results from per-protocol analyses showed a decrease in hyperactivity problems among the adolescents that had used the app (F(4,1585) = 2.89, p =.021). Users of the app reported being more exposed to negative incidents online during the study period (F(2,1591) = 3.94, p =.020). The frequency of cyberbullying decreased during the study period, but among all study participants, including those who had not used the app. The findings provide valuable insight into whether mobile apps can function as preventive and supportive self-help resources in reducing the harmful effects of cyberbullying and negative online incidents on mental health outcomes among adolescents.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000819"},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030428","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":"Intention to use mobile health in antenatal care service: Among primary health care unit workers, Bench-Sheko zone, southwest Ethiopia.","authors":"Shimeles Wondimu, Mohamed J Abawari, Yohannes Kebede","doi":"10.1371/journal.pdig.0000587","DOIUrl":"https://doi.org/10.1371/journal.pdig.0000587","url":null,"abstract":"<p><p>The use of mobile health (mHealth) technology has the potential to enhance maternal and child health care, particularly in low-income countries. However, evidence regarding its practicality and effectiveness remains limited. In Ethiopia, research on health workers' intention to adopt mHealth technology for maternal health services is notably scarce, emphasizing the need for thoughtful evaluation and further studies to explore its real-world application. This study aims to assess the intention of primary health care unit workers towards using mobile health technology in antenatal care services in Bench-Sheko Zone, Southwest Ethiopia. A cross-sectional study was conducted from June 27, 2023, to July 27, 2023. Data were collected from 316 primary health care unit workers using a simple random sampling technique. SPSS version 25 was used for data analysis, including multivariable linear regression modeling. The response rate was 98.7%. The mean age of participants was 29.2 years, and the mean score for behavioral intention to use mobile technology in ANC services was 65%. Predictors included perceived mobile self-efficacy (β=0.318, p<0.001), perceived compatibility (β=0.601, p<0.001), mobile ownership (β=1.173, p=0.041), eHealth training (β=0.768, p=0.008), and mobile use experience (β=0.176, p<0.001). Local health managers should facilitate training to boost health workers' mobile self-efficacy, and policymakers should consider the compatibility of mHealth technology with existing practices.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000587"},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144055075","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}