UNASSIGNED: Mental illness remains a major global health challenge largely due to the absence of definitive biomarkers applicable to diagnostics and care processes. Although remote sensing technologies, embedded in devices such as smartphones and wearables, offer a promising avenue for improved mental health assessments, their clinical integration has been slow.
UNASSIGNED: This scoping review, following preferred reporting items for systematic reviews and meta-analyses guidelines, explores validation studies of remote sensing in clinical mental health populations, aiming to identify critical factors for clinical translation.
UNASSIGNED: Comprehensive searches were conducted in six databases. The analysis, using narrative synthesis, examined clinical and socio-demographic characteristics of the populations studied, sensing purposes, temporal considerations and reference mental health assessments used for validation.
UNASSIGNED: The narrative synthesis of 50 included studies indicates that ten different sensor types have been studied for tracking and diagnosing mental illnesses, primarily focusing on physical activity and sleep patterns. There were many variations in the sensor methodologies used that may affect data quality and participant burden. Observation durations, and thus data resolution, varied by patient diagnosis. Currently, reference assessments predominantly rely on deficit focussed self-reports, and socio-demographic information is underreported, therefore representativeness of the general population is uncertain.
UNASSIGNED: To fully harness the potential of remote sensing in mental health, issues such as reliance on self-reported assessments, and lack of socio-demographic context pertaining to generalizability need to be addressed. Striking a balance between resolution, data quality, and participant burden whilst clearly reporting limitations, will ensure effective technology use. The scant reporting on participants\' socio-demographic data suggests a knowledge gap in understanding the effectiveness of passive sensing techniques in disadvantaged populations.

Cognitive engagement is a crucial factor that shapes successful learning outcomes, but our understanding of the factors that influence such engagement in the smart classroom context remains limited. This study aims to narrow this research gap by exploring the relationships among college students\' perceptions of the smart learning environment, perceived usefulness of mobile technology, achievement emotions, and cognitive engagement. A total of 1293 college students completed an online questionnaire survey, and 1076 valid responses were received. Structural equation modeling was used to analyze the interrelationships among these factors. The results revealed that students\' perceptions of the smart classroom environment and perceived usefulness of mobile technology as well as two achievement emotions (pride and anxiety) significantly impact cognitive engagement. Both pride and anxiety act as mediators in the relationships among perceptions of smart classroom environments, the perceived usefulness of mobile technology, and cognitive engagement, in which context the mediating effect of pride is stronger than that of anxiety. These findings have practical implications for instructors, who should focus on implementing strategies that promote positive achievement emotions when students use mobile technology in smart classrooms. Additionally, these findings can inform the design and construction of smart classroom environments. Moreover, our study has limitations due to reliance on online data collection and self-reported data, which may introduce biases and measurement errors. Future research should incorporate multimodal data and advanced technologies for a comprehensive assessment to better understand students\' engagement in smart learning environments, while also considering individual factors and the educational context to enhance the effectiveness of mobile technology in supporting students\' emotions and achievement.

BACKGROUND: Despite advancements in treatment and early diagnosis, people with lung cancer are not living as long as those with other cancers. The more common symptoms of lung cancer, such as breathlessness, fatigue, and depression, can be alleviated by improving patients\' physical functioning. Therefore, good symptom management and improved health-related quality of life (HRQoL) are priorities in this patient group. However, current health care services have limited capacity to provide this support. One way to address this issue of health care resources is to empower patients to self-manage their condition using eHealth technologies.
OBJECTIVE: The purpose of this review was to identify and assess available research on technologies that support persons with lung cancer to improve or maintain their physical functioning, HRQoL, or both.
METHODS: Six databases-PubMed, Web of Science, CINAHL, MEDLINE, SPORTDiscus, and PsycINFO-were searched from January 1, 1990, to April 30, 2023. Studies were suitable for inclusion if the participants included people with lung cancer aged >18 years who had been exposed to a physical activity, exercise, or training intervention that was delivered via an electronic or web-based application with or without a comparator. Furthermore, the study had to report on the impact of the intervention on physical functioning and HRQoL. Studies that focused on telemedicine without a digital intervention were excluded. The Grading of Recommendations Assessment, Development, and Evaluation system was used to assess the quality of the included papers. Due to the heterogeneity of the studies, a narrative synthesis was undertaken.
RESULTS: This review is reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 794 papers were initially identified through our search, of which, after screening, 8 (1%) were confirmed suitable for inclusion in the review. As 2 (25%) of the 8 papers reported on different stages of the same study, we included only 7 studies in our analysis. The studies were undertaken between 2010 and 2018 across multiple countries and aimed to develop a technology and test its feasibility or acceptance. The 7 technologies identified included web-based applications, mobile apps, and gaming consoles. The studies demonstrated impact on walking distance, muscle strength, balance, dyspnea symptoms, and cancer-related fatigue. HRQoL scores also showed improvement.
CONCLUSIONS: The findings indicate that eHealth technologies can positively impact physical functioning and well-being for people with lung cancer, but there are limited studies that demonstrate the impact of these digital interventions over longer periods. None of the studies reported on the implementation or adoption of a mobile health or eHealth intervention in routine clinical practice, highlighting the need for further research in this area.
BACKGROUND: PROSPERO CRD42023414094; https://tinyurl.com/39hhbwyx.

Barcode Medication Administration (BCMA) is a proven process for maintaining patient safety during medication administration. However, maintaining compliance with BCMA scanning in the Emergency Department has its challenges. To overcome these challenges handheld devices, enabled with scanning technology, were provided to each nurse. BCMA compliance rates increased by 20% over a 6-month period. Handheld devices work to improve BCMA compliance in the ED environment when using a 1:1 model.

UNASSIGNED: The Digital Measures Development: Core Measures of Sleep project, led by the Digital Medicine Society (DiMe), emphasizes the importance of sleep as a cornerstone of health and the need for standardized measurements of sleep and its disturbances outside the laboratory. This initiative recognizes the complex relationship between sleep and overall health, addressing it as both a symptom of underlying conditions and a consequence of therapeutic interventions. It aims to fill a crucial gap in healthcare by promoting the development of accessible, nonintrusive, and cost-effective digital tools for sleep assessment, focusing on factors important to patients, caregivers, and clinicians.
UNASSIGNED: A central feature of this project was an expert workshop conducted on April 19th, 2023. The workshop convened stakeholders from diverse backgrounds, including regulatory, payer, industry, academic, and patient groups, to deliberate on the project\'s direction. This gathering focused on discussing the challenges and necessities of measuring sleep across various therapeutic areas, aiming to identify broad areas for initial focus while considering the feasibility of generalizing these measures where applicable. The methodological emphasis was on leveraging expert consensus to guide the project\'s approach to digital sleep measurement.
UNASSIGNED: The workshop resulted in the identification of seven key themes that will direct the DiMe Core Digital Measures of Sleep project and the broader field of sleep research moving forward. These themes underscore the project\'s innovative approach to sleep health, highlighting the complexity of omni-therapeutic sleep measurement and identifying potential areas for targeted research and development. The discussions and outcomes of the workshop serve as a roadmap for enhancing digital sleep measurement tools, ensuring they are relevant, accurate, and capable of addressing the nuanced needs of diverse patient populations.
UNASSIGNED: The Digital Medicine Society\'s Core Measures of Sleep project represents a pivotal effort to advance sleep health through digital innovation. By focusing on the development of standardized, patient-centric, and clinically relevant digital sleep assessment tools, the project addresses a significant need in healthcare. The expert workshop\'s outcomes underscore the importance of collaborative, multi-stakeholder engagement in identifying and overcoming the challenges of sleep measurement. This initiative sets a new precedent for the integration of digital tools into sleep health research and practice, promising to improve outcomes for patients worldwide by enhancing our understanding and measurement of sleep.

BACKGROUND: Early childhood caries (ECC) is a major global health issue affecting millions of children. Mitigating this problem requires up-to-date information from reliable surveillance systems. This enables evidence-based decision-making to devise oral health policies. The World Health Organization (WHO) advocates the adoption of mobile technologies in oral disease surveillance because of their efficiency and ease of application. The study describes developing an electronic, oral health surveillance system (EOHSS) for preschoolers in Egypt, using the District Health Information System (DHIS2) open-source platform along with its Android App, and assesses its feasibility in data acquisition.
METHODS: The DHIS2 Server was configured for the DHIS2 Tracker Android Capture App to allow individual-level data entry. The EOHSS indicators were selected in line with the WHO Action Plan 2030. Two modalities for the EOHSS were developed based on clinical data capture: face-to-face and tele/asynchronous. Eight dentists in the pilot team collected 214 events using modality-specific electronic devices. The pilot\'s team\'s feedback was obtained regarding the EOHSS\'s feasibility in collecting data, and a time-motion study was conducted to assess workflow over two weeks. Independent t-test and Statistical Process Control techniques were used for data analysis.
RESULTS: The pilot team reported positive feedback on the structure of the EOHSS. Workflow adaptations were made to prioritize surveillance tasks by collecting data from caregivers before acquiring clinical data from children to improve work efficiency. A shorter data capture time was required during face-to-face modality (4.2 ± 0.7 min) compared to telemodality (5.1 ± 0.9 min), p < 0.001). The acquisition of clinical data accounted for 16.9% and 21.1% of the time needed for both modalities, respectively. The time required by the face-to-face modality showed random variation, and the tele-modality tasks showed a reduced time trend to perform tasks.
CONCLUSIONS: The DHIS2 provides a feasible solution for developing electronic, oral health surveillance systems. The one-minute difference in data capture time in telemodality compared to face-to-face indicates that despite being slightly more time-consuming, telemodality still shows promise for remote oral health assessments that is particularly valuable in areas with limited access to dental professionals, potentially expanding the reach of oral health screening programs.

暂无摘要。

UNASSIGNED: Investment in mobile devices to support primary or elementary education is increasing and must be informed by robust evidence to demonstrate impact. This systematic review of randomised controlled trials sought to identify the overall impact of mobile devices to support literacy and numeracy outcomes in mainstream primary classrooms.
UNASSIGNED: The aim of this systematic review was to understand how mobile devices are used in primary/elementary education around the world, and in particular, determine how activities undertaken using mobile devices in the primary classroom might impact literacy and numeracy attainment for the pupils involved. Within this context, mobile devices are defined as tablets (including iPads and other branded devices), smartphones (usually those with a touchscreen interface and internet connectivity) and handheld games consoles (again usually with touchscreen and internet-enabled). The interventions of interest were those aimed at improving literacy and/or numeracy for children aged 4-12 within the primary/elementary school (or equivalent) classroom.Specifically, the review aimed to answer the following research questions: -What is the effect of mobile device integration in the primary school classroom on children\'s literacy and numeracy outcomes?-Are there specific devices which are more effective in supporting literacy and numeracy? (Tablets, smartphones, or handheld games consoles)-Are there specific classroom integration activities which moderate effectiveness in supporting literacy and numeracy?-Are there specific groups of children for whom mobile devices are more effective in supporting literacy and numeracy? (Across age group and gender).-Do the benefits of mobile devices for learning last for any time beyond the study?-What is the quality of available evidence on the use of mobile devices in primary/elementary education, and where is further research needed in this regard? An Expert Advisory Group supported the review process at key stages to ensure relevance to current practice.
UNASSIGNED: The search strategy was designed to retrieve both published and unpublished literature, and incorporated relevant journal and other databases with a focus on education and social sciences. Robust electronic database searches were undertaken (12 databases, including APA PsychInfo, Web of Science, ERIC, British Education Index and others, and relevant government and other websites), as well as a hand-search of relevant journals and conference proceedings. Contact was also made with prominent authors in the field to identify any ongoing or unpublished research. All searches and author contact took place between October and November 2020. The review team acknowledges that new studies will likely have emerged since and are not captured at this time. A further update to the review in the future is important and would build on the evidence reflected here.
UNASSIGNED: The review included children within mainstream primary/elementary/kindergarten education settings in any country (aged 4-12), and interventions or activities initiated within the primary school classroom (or global equivalent) that used mobile devices (including tablets, smartphones, or hand-held gaming devices) to intentionally support literacy or numeracy learning. In terms of study design, only Randomised Controlled Trials were included in the review.
UNASSIGNED: A total of 668 references were identified through a robust search strategy including published and unpublished literature. Following duplicate screening, 18 relevant studies, including 11,126 participants, 14 unique interventions, and 46 relevant outcome measures were synthesised using Robust Variance Estimation and a random effects meta-analysis model. Risk of Bias assessment was undertaken by three reviewers using the ROB2 tool to assess the quality of studies, with 13 studies rated as having some concerns, and 5 as having high risk of bias. Qualitative data was also extracted and analysed in relation to the types of interventions included to allow a comparison of the key elements of each.
UNASSIGNED: A positive, statistically significant combined effect was found (Cohen\'s d = 0.24, CI 0.0707 to 0.409, p < 0.01), demonstrating that in the studies and interventions included, children undertaking maths or literacy interventions using mobile devices achieved higher numeracy or literacy outcomes than those using an alternative device (e.g., a laptop or desktop computer) or no device (class activities as usual). However these results should be interpreted with caution given the risk of bias assessment noted above (5 studies rated high risk of bias and 13 rated as having some concerns). As the interventions and classroom circumstances differed quite widely, further research is needed to understand any potential impact more fully.Sensitivity analysis aimed to identify moderating factors including age or gender, screen size, frequency/dosage of intervention exposure, and programme implementation features/activities (based on Puentedura\'s [2009] SAMR model of technology integration). There were too few studies identified to support quantitative analysis of sufficient power to draw robust conclusions on moderating factors, and insufficient data to determine impact beyond immediate post-test period. Sensitivty analysis was also undertaken to exclude the five studies identified as having a high risk of bias, to identify any impact they may have on overall findings.
UNASSIGNED: Overall, this review demonstrates that for the specific interventions and studies included, mobile device use in the classroom led to a significant, positive effect on literacy and numeracy outcomes for the children involved, bringing positive implications for their continued use in primary education. However given the concerns on risk of bias assessment reported above, the differing circumstances, interventions and treatment conditions and intensities, the findings must be interpreted with caution. The review also supports the need for further robust research to better understand what works, under what circumstances, and for whom, in the use of mobile devices to support learning.

Advances in mobile phone technologies coupled with the availability of modern wireless networks are beginning to have a marked impact on digital health through the growing array of apps and connected devices. That said, limited deployment outside of developed nations will require additional approaches to collectively reach the 8 billion people on earth. Another consideration for development of digital health centered around mobile devices lies in the need for pairing steps, firmware updates, and a variety of user inputs, which can increase friction for the patient. An alternate, so-called Beyond the Mobile approach where medicaments, devices, and health services communicate directly to the cloud offers an attractive means to expand and fully realize our connected health utopia. In addition to offering highly personalized experiences, such approaches could address cost, security, and convenience concerns associated with smartphone-based systems, translating to improved engagement and adherence rates among patients. Furthermore, connecting these Internet of Medical Things instruments through next-generation networks offers the potential to reach patients with acute needs in nonurban regions of developing nations. Herein, we outline how deployment of Beyond the Mobile technologies through low-power wide-area networks could offer a scalable means to democratize digital health and contribute to improved patient outcomes globally.

BACKGROUND: The transmission of clinical information in nursing predominantly occurs through digital solutions, such as computers and mobile devices, in today\'s era. Various technological systems, including electronic health records (EHRs) and client information systems (CISs), can be seamlessly integrated with mobile devices. The use of mobile devices is anticipated to rise, particularly as long-term care is increasingly delivered in environments such as clients\' homes, where computers are not readily accessible. However, there is a growing need for more user-centered data to ensure that mobile devices effectively support practical nurses in their daily activities.
OBJECTIVE: This study aims to analyze practical nurses\' experiences of using EHRs or CISs on a mobile device in their daily practice. In addition, it aims to examine the factors associated with work time savings when using EHRs/CISs on a mobile device.
METHODS: A cross-sectional study using an electronic survey was conducted in spring 2022. A total of 3866 practical nurses participated in the survey based on self-assessment. The sample was limited to practical nurses who used EHRs or CISs on a mobile device and worked in home care or service housing within the social welfare or health care sector (n=1014). Logistic regression analysis was used to explore the factors associated with work time savings.
RESULTS: The likelihood of perceiving work time savings was higher among more experienced EHR/CIS users compared with those with less experience (odds ratio [OR] 1.59, 95% CI 1.30-1.94). Participants with 0-5 years of work experience were more likely to experience work time savings compared with those who had worked 21 years or more (OR 2.41, 95% CI 1.43-4.07). Practical nurses in home care were also more likely to experience work time savings compared with those working in service housing (OR 1.95, 95% CI 1.23-3.07). A lower grade given for EHRs/CISs was associated with a reduced likelihood of experiencing work time savings (OR 0.76, 95% CI 0.66-0.89). Participants who documented client data in a public area were more likely to experience work time savings compared with those who did so in the nurses\' office (OR 2.33, 95% CI 1.27-4.25). Practical nurses who found documentation of client data on a mobile device easy (OR 3.05, 95% CI 2.14-4.34) were more likely to experience work time savings compared with those who did not. Similarly, participants who believed that documentation of client data on a mobile device reduced the need to memorize things (OR 4.10, 95% CI 2.80-6.00) were more likely to experience work time savings compared with those who did not.
CONCLUSIONS: To enhance the proportion of practical nurses experiencing work time savings, we recommend that organizations offer comprehensive orientation and regular education sessions tailored for mobile device users who have less experience using EHRs or CISs and find mobile devices less intuitive to use.