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With the goal of developing information retrieval (IR) systems, including digital libraries (DLs), that support universal access, the authors conducted two studies to identify the help-seeking situations that blind and visually impaired (BVI) users encountered in DLs. First, the authors quantitatively compared BVI users' help-seeking situations when interacting with the DL's mobile website (M.Web) and the mobile app (M.App). Using multiple data collection methods, the mobile study identified six situations BVI users faced more frequently when using M.Web than M.App. Second, the findings of the mobile study were qualitatively compared with the situations that occurred in the desktop environment, highlighting eight unique situations. It is more difficult for BVI users to interact with DLs in the mobile environment because of the reduced size of the mobile interface, complex DL structures, dynamic elements, diverse formats, and sight-centered design. Specific design recommendations were offered to enhance DLs in the mobile environment. [ABSTRACT FROM AUTHOR]

A minority of bereaved adults experiences prolonged grief disorder, depression, and/or posttraumatic stress disorder, with heightened risks observed among bereaved parents. Cognitive-behavioural therapies, both face-to-face and online, have demonstrated efficacy in treating post-loss mental health problems. Mobile phone applications potentially offer an efficient and cost-effective way to deliver self-help to bereaved adults, yet controlled effectiveness studies are lacking. Therefore, we examined the short-term efficacy of the My Grief app, based on cognitive-behavioural therapy, in 248 bereaved parents, in a randomised controlled trial (Clinicaltrials.gov, identifier: NCT04552717). Participants were randomly allocated to access to the My Grief app (n = 126) or a waitlist (n = 122). At baseline and post-assessment, symptoms of prolonged grief, posttraumatic stress, and depression, negative grief cognitions, rumination, and avoidance were assessed. Reductions in prolonged grief and posttraumatic stress symptoms and negative cognitions in the intervention group were larger than in the control group, albeit with small effect sizes. Fifteen app users reported negative experiences with the app; for example, some mentioned that it elicited painful memories and emotions related to their loss. My Grief appears to achieve modest improvements in mental health in bereaved parents. Given that it is accessible and low-cost, it is an important addition to the suite of prolonged grief interventions. [ABSTRACT FROM AUTHOR]

Background: The steep increase in knee arthroplasties in lower- and middle-income countries has increased demand for personalised rehabilitation care. Technology-based rehabilitation programs offer potential to replace or augment conventional face-to-face rehabilitation for providing continuum of care. We aimed to systematically develop a theory, evidence-driven, contextualised, and user-centred mobile health platform for people undergoing knee arthroplasty to facilitate monitoring progress during rehabilitation. Methods: We followed the UK Medical Research Council's framework and adopted a behaviour design thinking approach, consisting of five steps; (1) conduct multiple literature reviews and cross-sectional surveys to determine the needs and problems experienced during the rehabilitation phase by healthcare professionals and individuals with replaced knees, (2) identify target behaviours along with barriers and facilitators, integrated within the Capability, Opportunity, Motivation-Behaviour (COM-B) framework, (3) identify intervention functions and components, behaviour change techniques, and features for the mobile application, selected after discussions with orthopaedic surgeons, physiotherapists and behavioural experts, (4) develop a prototype application for end-users, and a web-based platform for healthcare professionals, and (5) pilot test the intervention for end-users' feedback on usability of the application and to identify possible strategies for implementing the intervention package. Results: Using the COM-B model, education, training, persuasion, enablement, and modelling were chosen as intervention functions for improving adherence to exercise protocol during early-phase of rehabilitation. The application featured five interlinked components; education, training, goal setting and self-management, communication, and a personalized therapy plan utilising 13 behaviour change techniques. An education booklet, exercise videos, text messaging, video consultation, and a digital tool for measuring range of motion were incorporated into the application. Feedback on the interactive prototype and education material was sought from ten patient volunteers and a physiotherapist. Pilot testing in a convenient sample with broad eligibility criteria (n = 30) indicated importance of digital literacy and dedicated time for remote consultation by healthcare provider within the existing clinical work. Overall, the intervention was well received and valued by the end users. Conclusion: This paper demonstrates the development of a contextualised digital behavioural intervention grounded in behavioural theory and evidence from literature to improve end-user's engagement with rehabilitation protocols after knee arthroplasty in lower- and middle-income country context. Trial registration: Study registered prospectively (on 16 February 2023) at Clinical Trials Registry of India (CTRI/2023/02/049792). [ABSTRACT FROM AUTHOR]

Background: While there is a list of monosyllabic words available for use in speaking tests in our country, the list of sentences is limited. The aim of this study is to evaluate the effectiveness of the mobile application we developed by creating a list of 4-word sentences that are frequently encountered in daily life, well-known, and spectrally balanced, to be used in speech tests in children aged 8–12 with normal hearing. A total of 50 participants, 25 girls (mean age 9.56 ± 1.56) and 25 boys (mean age 10.60 ± 1.55) with normal hearing, aged 8–12, were included in the study. Familiarity was evaluated by listening to a list of 200 sentences consisting of 4-word sentences to 70 children in 7 geographical regions of Turkey, and the sentences that 80% of the children did not understand were excluded. A list of 60 balanced sentences was determined by performing spectral and coherence analysis of the sentences. The recording of each sentence at 80 dB, 60 dB, and 40 dB intensity levels, respectively, increased in 5 dB steps between the − 10/ + 10 signal-to-noise ratio value and was combined separately with 3 different environmental noises (classroom, shopping mall, amusement park) and uploaded to the developed mobile application. Results: For all participants, speech comprehension scores at 80 dB, 60 dB, and 40 dB sound intensity were lowest in the amusement park environment. Speech comprehension scores are lowest in noise levels of 40 dB in amusement park and shopping mall environments. Speech comprehension scores are lowest in noise levels of 60 dB in the classroom environment. There is a statistically significant difference between ambient noises (p < 0.05). When male and female participants are compared, it is seen that male participants' comprehension scores in noise in the shopping mall environment are higher than female participants. There is a statistically significant difference between genders (p < 0.05). Conclusion: When the speech in noise tests developed in the literature are examined, even though the word lists are equalized with the phonemic equalization method, they do not reflect the reality of daily life. The Turkish Mobile Speech Discrimination in Real Noise 4-Word Sentence Test that we have developed will contribute to the literature. It is recommended that future research compare the results by adding different ambient noises. [ABSTRACT FROM AUTHOR]

Introduction: The Medication Home Delivery (MHD) service from community pharmacies involves the safe and efficient delivery of pharmaceuticals (prescription and non-prescription medications), and health products directly to the patient's/consumer's home. There are several issues encountered by the users of the MHD service that have an impact on their satisfaction with the service. The study aimed to assess the public's perceptions of the MHD service in the United Arab Emirates (UAE), their willingness to utilize it, and the practical use of the service. Method: A cross-sectional exploratory study was conducted in the UAE using a validated online survey. The inclusion criteria were adults residing in the UAE. Statistical analysis was performed to identify the association between the variables, the service use, and the level of service efficiency. Results: A total of 556 participants filled out the survey, with 69.4% of them using the service. The majority of participants were females (75.9%) and aged less than 40 years old (71.6%). Three variables showed a statistically significant association with the use of the MHD service (P < 0.05): the participant's educational level, their medical/health background, and the frequency of visits to community pharmacies. The most common issues raised were receiving the wrong order, delay in delivery, and paying delivery fees. Most participants agreed that the MHD service reduces the risk of exposure during pandemics, serves the elderly, serves disabled people, makes it more comfortable for parents with children at home, and reduces overcrowding in health facilities, as well as the MHD service making pharmacy services more efficient. Conclusion: The study indicated positive perceptions among the public in the UAE towards the MHD service. However, there was a concern that this service may diminish the communication between pharmacists and patients, which potentially minimizes the amount of information received by patients regarding their treatments. [ABSTRACT FROM AUTHOR]

ABSTRACT Background Purpose Methods Results Conclusions Trial Registration Hypertension (HT) is a global health problem. Although there are effective treatment protocols, patients have difficulty in adapting to regular use of drugs, diet, and lifestyle changes. Mobile apps can be a potential alternative for managing HT and improving self‐care behavior.This study aimed to determine the effect of mobile application follow‐up on treatment compliance and self‐care management in patients with HT.This randomized controlled trial was conducted in November 2021 and March 2022 with 40 experimental and 40 control group patients with HT. Research data were collected using a patient information form, “Hill‐Bone Hypertension Treatment Compliance Scale (HBHTTCS),” “Hypertension Self‐Care Profile‐Motivation Scale (HTSPMS),” a mobile application program (daily blood pressure, pulse, medication, diet, exercise tracking) uploaded to the mobile phones of the patients, and individual motivational messages.The mean total score of the HBHTTCS at Week 6 was 14.57 ± 1.89 and the mean total score of the HTSPMS was 78.15 ± 2.05. There was a statistically significant difference in mean total HTSPMS (p = 0.000) and HBHTTCS (p = 0.000) scores and mean scores on medical (p = 0.002) and nutrition (p = 0.002) subscales of HBHTTCS between the first interview (1st‐week follow‐up) and the last interview (6th‐week follow‐up) of patients in the intervention group.This study showed that mobile application follow‐up increased motivation levels and treatment compliance in patients with HT and resulted in better self‐care. These positive findings indicate importance of integrating mobile applications in the disease management of HT patients.ClinicalTrials.gov ID: NCT05334446, https://clinicaltrials.gov/ct2/show/NCT05334446. [ABSTRACT FROM AUTHOR]

Purpose: The performance metric associated with the execution of the 1-min sit-to-stand (1STS) typically relies on the number repetitions completed in 1 min. This parameter presents certain limitations (e.g., ceiling effect, motivational factors) which can impede its interpretation. Introducing additional parameters, such as neuromuscular fatigability level, could enhance the informative value of the 1STS and facilitate its interpretation. This study aimed to assess (i) whether the 1STS induces fatigability and (ii) the reliability of the fatigability level. Methods: Forty young, healthy, and active participants underwent the 1STS twice during the same session. Isolated sit-to-stand maneuvers were performed before, immediately, and 1 min after completing the 1STS. A mobile app was utilized to obtain time (STST), velocity (STSV), and muscle power (STSP) from these sit-to-stand maneuvers. The pre–post change in these parameters served as the fatigability marker. Reliability was assessed using the intra-class correlation coefficient (ICC) and the coefficient of variation (CV). Results: The mean number of repetitions during the 1STS was 63 ± 9. Significant decline in performance was observed for STST (13 ± 8%), STSV (−11.2 ± 6%), and STSP (−5.2 ± 3%), with more than 74% of participants exhibiting a decline beyond the minimal detectable change. Excellent between-session reliability (ICC ≥ 0.9; CV ≤ 5.3) was observed for the mobile app variables. Conclusion: The 1STS induces significant levels of fatigability. The fatigability indicators derived from the mobile app demonstrated remarkable reliability. Utilizing this user-friendly interface for computing fatigability may empower professionals to acquire insightful complementary indicators from the 1STS. [ABSTRACT FROM AUTHOR]

This research article analyzes the educommunicative dimension of the mobile apps developed by the main franchise companies in the fast food sector from the perspective of CSR. The study follows an exploratory and descriptive research design that combines quantitative and qualitative methods, namely a descriptive analysis of a sample of apps belonging to eight leading fast-food companies and focus groups, respectively. For the focus groups, 25 students agreed to participate (n = 25). They were selected based on structural criteria established to guarantee internal homogeneity and heterogeneity. The results reveal an underutilization of the educommunicative potential of mobile applications and confirm millennials' interest in the acquisition and practice of healthy habits and the use of mobile applications for this purpose. The study concludes that fast food companies must encourage and educate their publics about good eating habits and physical activity. Organizations, especially those that operate in sectors of social interest, must undertake mCSR actions to prevent and counteract social ills and meet the expectations of stakeholders. Mobile applications are excellent tools to support this endeavor. To overcome the main limitation of the study, it is necessary to complement it with quantitative research. [ABSTRACT FROM AUTHOR]

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This article presents an innovative application designed to assist parents in monitoring and analyzing their children's sleep patterns, contributing to insights into their health and development. The application integrates a hardware solution that captures sleep data through sensors. These data are then processed, analyzed, and securely stored in a cloud database. Key features of the application include real-time monitoring of the child's sleep status, historical sleep data visualization through graphical representations, and alert notifications for any detected abnormalities. The system offers a comprehensive tool for parents to ensure the well-being of their children by providing valuable sleep-related information. [ABSTRACT FROM AUTHOR]

The research presented aims to develop a prototype of a real-time mobile application for Thai banknote recognition to support visually impaired persons. The identification of each banknote with different colors was classified according to color features by calculating the average value or comparing color histograms. Color classification is considered an easy and fast way to categorize banknotes. However, this method has the limitations of detection incorrectness, especially detecting objects that are similar to the banknote. This may result in error processing and wrong identification of banknotes. Over a decade, many techniques have been applied as a solution for both detection and classification known as the banknote recognition technique. Banknotes are varied among different currencies; thus, different recognition techniques are used. For Thai banknotes, research on their recognition techniques especially those that are real-time and usable to support visually impaired persons is scarce. Therefore, this research proposes the application of the Haar-like feature to help real-time detection, comparing color histograms to identify banknote types, as well as providing text-to-speech for the audio sound of the banknotes. The system prototype was developed as an Android-based mobile application, which is designed according to a mental model for usability. The research evaluation was divided into two parts: (1) evaluation of the efficiency of the banknote recognition by examining five types of Thai banknotes: 20 Baht, 50 Baht, 100 Baht, 500 Bath, and 1000 Baht and (2) assessment of the usability of the application in terms of information of user satisfaction. The results of the research on the efficiency of banknote recognition are at 88% for accuracy level, and the result of user satisfaction is at a good level. This indicates that the real-time mobile application with Haar-like features and color histograms can be used to support visually impaired persons. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic prompted public health teams across the world to emphasize case identification, contact tracing, and isolation in outbreak management strategies. Contact tracing was advanced by global access to mobile phones to develop and implement digital contact tracing (DCT) technology with the objective of increasing the rate of contact tracing while reducing the resources required. Purpose: This study aimed to describe the DCT technology used during the COVID-19 pandemic across the world, and to identify differences and similarities between characteristics and uses. Methods: This review followed the PRISMA (2020) guidelines for systematic reviews. Literature searches were conducted using Embase, MEDLINE, and PubMed and were restricted to English studies published between 2019 to 2023. Studies were excluded if they did not report findings for DCT during COVID-19, did not provide data for technology characteristics or outcomes, or were a study design listed for exclusion. Results: Sixty one studies were included in the review producing results for 147 digital contact tracing technologies across 83 countries. The majority of digital contact tracing (DCT) technologies are government-owned (75.6%), primarily developed for COVID-19 tracing (96.4%). Bluetooth is the most favored technology (70%) used in their development, followed by GPS (30%) and QR codes (22%). Applications are the preferred platform (90.9%), with a few using applets (6.3%) and wearable devices (1.4%). Only 2 DCT technologies have achieved over 100 million downloads or uses (3.1%). Most DCTs fall into the 1–9.99 million downloads range (27.7%) and 10,000–99,999 downloads (20%). The majority of DCTs are voluntarily used by the population (63.6%), while 27.3% are mandated for use. Conclusions: Digital contact tracing technologies were developed and implemented globally as a strategy in emergency outbreak management to reduce the spread of disease. This review describes the use of DCT across the world by identifying key features and characteristics that will serve as a lesson learned for improvement of existing DCT technologies for other emergency response outbreak management. [ABSTRACT FROM AUTHOR]

Background: Oral health is so important for the adolescent age group that the World Health Organization has listed oral health as a lifelong prerequisite for maintaining public health; Therefore, this research was carried out with the aim of the effect of educational intervention based on self-efficacy theory on the promotion of behaviors related to oral health of adolescents through mobile application. Methods: In this clinical trial, 80 adolescents aged 13–15 years from Shushtar city were selected using a random cluster sampling method and assigned to either the test or control group. The data collection tools included a standard questionnaire for measuring Oral health behavior (awareness, attitude, behavior) and a standard questionnaire for measuring self-efficacy (self-efficacy in brushing teeth, self-efficacy in using dental floss, and self-efficacy in visiting the dentist), as well as demographic characteristics. Training was provided to the test group via a mobile application for 3 weeks. During the intervention, the control group did not receive any training. Questionnaires were distributed in both groups immediately after the intervention, as well as one month and three months post-intervention, and data were collected. In accordance with research ethics, at the end of the study, the educational content was provided to the control group. Collected data were analyzed using SPSS 22 software and Mann-Whitney and Friedman non-parametric tests. Results: The findings showed that the educational intervention through the mobile application was effective in improving the average scores of awareness, attitude, self-efficacy in brushing teeth, flossing, visiting the dentist, and the behavior of adolescents regarding oral health behaviors, and this statistical difference was significant compared to before the educational intervention (P < 0.05), while no change was observed in the control group (p > 0.05). Conclusion: Considering that adolescents aged 13–15 years are the age of starting behavioral habits, including oral health behaviors, and on the other hand, their interest in using technology and virtual spaces is high, it is suggested that part of the education of this age group should be designed and implemented in the platform of mobile application. Clinical Trial: Registration in Iran Clinical Trial Center with ID code (IRCT20200120046204N1) Date of.Registration: 2018-02-25. [ABSTRACT FROM AUTHOR]

Background: Chronic Kidney Disease (CKD) is a progressive disorder that often leads to End-Stage Renal Disease (ESRD), necessitating hemodialysis (HD) treatment. Fatigue is a prevalent and debilitating symptom among HD patients, significantly affecting their quality of life. Recreational Therapy (RT) is a therapeutic recreational service designed to maintain and restore a person's level of performance and independence in daily activities. This study aimed to evaluate the effect of a smartphone-based recreational therapy intervention on fatigue in hemodialysis patients. Methods: This randomized controlled trial was conducted on HD patients at a hospital in Mashhad, Iran. The intervention group received a custom-designed recreational therapy mobile application, including music, comedy, exercise, and educational content. The control group received standard care. Fatigue was assessed using the Multidimensional Fatigue Inventory (MFI-20) before and after the 30-day intervention. Results: A total of 72 patients (36 per group) participated in the study. The intervention group demonstrated a significant reduction in overall fatigue scores and improvements across various fatigue dimensions, including general fatigue, physical fatigue, mental fatigue, reduced activity, and reduced motivation, compared to the control group (p < 0.001). Conclusion: The smartphone-based recreational therapy intervention effectively reduced fatigue in hemodialysis patients. This approach could be a valuable complementary strategy for managing fatigue in this population. Further research is needed to explore the long-term sustainability of these benefits and the intervention's impact on other patient-reported outcomes. Trial registration: This study was registered in the Iranian Registry of Clinical Trials (no. IRCT20220803055608N1) on 29/08/2022. [ABSTRACT FROM AUTHOR]

This study aims to investigate the key features necessary for the development of a mobile application for human resource management (HRM). It addresses the shortage of empirical studies on digital HRM in the Middle East and emphasizes the increasing importance of HRM mobile applications in the region. The research utilizes qualitative research methods, including the Delphi method, in-depth interviews, literature review, historical analysis, and critical discussion. A qualitative research strategy is employed, analyzing data from 43 HR experts and mobile app development team members from international and local businesses in the UAE and the Kingdom of Bahrain. NVivo software is used for data analysis, encompassing over 120 transcriptions, notes, and academic papers. The study identifies and explores the logical and practical features required for an HRM mobile app. It uncovers challenges related to the Delphi survey experiences, such as managing heterogeneous information and ensuring compatibility with iOS and Android platforms. This research fills a gap in the literature by investigating the digital HRM landscape and HRM mobile applications in the Middle East. It provides valuable insights from HR and technology experts, contributing to the advancement of digital HRM, mobile applications, and the application of the Delphi method methodology. The study highlights implications for industries to enhance HR operations and productivity through the adoption of mobile HR applications. Theoretical contributions include new insights into the digital HRM literature, specifically regarding the identification and discussion of essential features in HRM mobile applications. Practical implications involve the benefits of transitioning from traditional HRM to digitalized HRM in the professional era, as identified through the analyzed features of the HR app. The study offers practical insights for the development and implementation of mobile HR apps. Organizations can leverage these insights to create effective mobile HR apps that enhance HR operations and employee productivity. [ABSTRACT FROM AUTHOR]

This study presents a novel low-cost and low-power prepaid water meter system that combines tokenization and LC sensors to monitor water consumption accurately with mobile application via Bluetooth Low Energy (BLE) connectivity compared to conventional meters. Water meters play a vital role in monitoring water usage in Indonesia. Postpaid billing methods that rely on manual data recording are a source of concern due to potential inaccuracies caused by human error. This study presents the development of a prepaid water meter system that integrates LC sensors, BLE connectivity, a tokenization mechanism, and a mobile application to address this issue. The system offers a cost-effective solution by utilizing BLE + Global System for Mobile (GSM) from the user's mobile phone. Using the design thinking methodology, the mobile application for the prepaid water meter achieved a usability testing score of 80. The load testing results for the back-end server, conducted with a sample size of 515 users, revealed a back-end latency of 1.973 milliseconds and an error rate of 8.74%. Furthermore, the LC sensors integrated into the PWM device showed an average error rate of 1.33%. The power consumption during each work cycle was measured at 129 mA and each battery is expected to last six years. Overall, with simple LC sensors, this system can precisely measure water usage. [ABSTRACT FROM AUTHOR]

In athletic training and research, the evaluation of sprint speed is widely used, and its accurate measurement is especially demanding. High-cost photocells are the gold-standard system for sprint time assessment, although low-cost smartphone applications can be a suitable option. This study assesses the validity and reliability of an application to measure sprint time compared to photocells. Five physically active subjects completed six sprints of 10 m and 20 m at maximal speed and a 5 m go and return sprint to evaluate the validity of the Photo Finish® app (Version 2.30). To assess reliability, six trials of 5 m go and return sprints were measured by two smartphones. The validity results showed a mean bias of 0.012 s (95% CL: 0.000, 0.024) between the application and the photocells for the 10 m sprint, 0.007 s (95% CL: −0.007, 0.022) for the 20 m sprint and 0.005 s (95% CL: −0.005, 0.017) for the 5 m go and return test. The results also found R2 between both systems (R2= 0.9863, 0.990 and 0.958) for each distance (10 m, 20 m and 5 m go and return, respectively). As for reliability, the application showed outstanding consistency between two smartphones operating simultaneously (ICC 0.999; R2: 0.999). This study shows that the Photo Finish® app is an accurate and reliable tool to measure sprint time with an error of 0.09 s. [ABSTRACT FROM AUTHOR]

Body measurements are primarily made with a tape measure. In measurements taken with a tape measure, the inability to take measurements from the same part of the body each time, incorrect positioning of the tape measure, the occurrence of incorrect measurements, and the need for a person to take the measurements are significant problems in the traditional measurement method. Due to the social distancing rule that must be followed during the Covid-19 pandemic, the close contact between the person to be measured and the person taking the measurement became the starting point of this study. This study focuses on the detecting body shape changes using image processing techniques with 2D imaging. The novelty of the work is that non-contact body measurements are taken more accurately and reliably using the cosine theorem. Regular monitoring of obese patients is important in combating obesity, which is also the source of many health problems. In the monitoring of obese patients, it is necessary to determine the rate of slimming in areas where fat accumulation is intense. The error margin between the real measurements of human models and the calculated measurements was calculated as an average of ± 5.16% for waistline and an average of ± 4.58% for hip size. The cosine theorem was used instead of the ellipse formula used in the literature, and it was observed that the cosine theorem obtained results closer to reality. It is also thought that the developed system will be beneficial not only for extracting body measurements but also for extracting body measurements contactless in the textile sector. The study demonstrates the feasibility of image processing for non-contact body anthropometry and shape tracking. [ABSTRACT FROM AUTHOR]

Background: Attrition continues to be a major hurdle for addiction treatment. Through the prism of the attachment theory, this phenomenon can be understood as a manifestation of the patient's insecure attachment style, needing a highly-responsive care delivery. We developed an electronic health mobile application, co-designed with patients, aimed at helping healthcare teams respond to their patients' needs, and fostering adherence to care. This acceptability study evaluated patients everyday use of the application for eight weeks, assessing their satisfaction with the system, and its integration within professionals' current practice in our center. Methods: This single-center, prospective study was conducted between January 2022 and December 2022. 24 adult patients with any type of addiction were included. They were granted access to the application for eight weeks, and were invited to complete the System Usability Scale questionnaire regarding their satisfaction with application's usability at the end of the study. The application uses active self-reports, which are later discussed with the healthcare team, and foster both the working alliance and the decision-making process. Results: 17 patients out of 24 reached the primary endpoint. On average, over the eight-weeks period, patients logged in the application 38.2 times, and sent 5.9 messages to the healthcare team. Interestingly, 64.3% of the user logins were recorded outside of our center's working hours (either from 5 p.m. to 9 a.m., or during week-ends and bank holidays), and 70.8% of the patients logged into the application at least one time between 10 p.m. and 8 a.m. 18 patients completed the System Usability Scale questionnaire, which averaged a score of 81.8 out of 100. Healthcare professionals logged in the application's messaging system 4.5 times a day on average. Conclusions: This preliminary study shows promising results, as patients engaged well with various components of the application. It was moreover possible for healthcare workers in our center to integrate this tool in their daily activities. More work is needed to better understand the various patients' needs regarding the application, further strengthen their adherence to the intervention, and understand professionals' motivations to use the application. Trial registration: ClinicalTrials.gov, Identifier: NCT04659954. Registered 09 December 2020, https://clinicaltrials.gov/study/NCT04659954. [ABSTRACT FROM AUTHOR]

Background: Coronary artery disease is one of the leading causes of death and disability worldwide. Coronary angiography is a diagnostic procedure used to detect atherosclerosis. Patients typically experience anxiety and stress before and during the angiography procedure. Furthermore, self-care ability is crucial following angiography. Aim: This study aims to describe the design and evaluation of a mobile application focusing on stress, anxiety, and self-care abilities in patients undergoing coronary angiography. Method: The researchers developed a mobile application for patients undergoing angiography. The application provides information about angiography and tips for enhancing self-care following the procedure. An interventional study was conducted on 70 patients admitted to the angiography ward in hospitals in Kerman, Iran, between 2022 and 2023. The participants were randomly divided into two groups: control and intervention. The interventional group received the intervention application the night before angiography. Two groups completed the Anxiety and Stress Questionnaire (DAS) and Kearney-Flescher Self-Care Survey before the intervention. The researchers used questionnaires that had been prepared and previously utilized in other studies. The two groups completed the anxiety and stress questionnaire within three to six hours and the self-care questionnaire one month after angiography. SPSS 15 software was used for data analysis, with a significance level set at 0.05. Results: The study found that the majority of participants were women. Before the study, there was no significant difference between the two groups in terms of anxiety, stress, and self-care scores. However, after the study, the intervention group showed a significant decrease in average anxiety and stress scores (p < 0.001). Additionally, compared to the control group, the intervention group demonstrated significant improvement in average self-care score (p < 0.001). Conclusion: According to this study, AP can be effective in influencing the anxiety, stress levels, and self-care ability of patients who undergo coronary angiography. It can help to reduce stress and anxiety while increasing self-care. Instructive software is user-friendly, cost-effective, and can be recommended by nurses and doctors. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to develop and assess the feasibility and effectiveness of digital therapeutics for supportive care after gastrectomy. Materials and Method: The study included 39 patients with gastric cancer who underwent minimally invasive gastrectomy and were able to use a mobile application (app) on their smartphones. The developed research app automatically calculates and provides daily targets for calorie and protein intake based on the patient’s body mass index (BMI). Patients recorded their daily diets, weights, and symptoms in the app and completed special questionnaires to assess the feasibility of the app in real-world clinical practice. Results: At the 10-week follow-up, the mean questionnaire scores for ease of learning, usability, and effectiveness of the app (primary endpoint) were 2.32±0.41, 2.35±0.43, and 2.4±0.39 (range: 0–3), respectively. Patients were classified as underweight (<18.5, n=4), normal (18.5–24.9, n=24), or overweight (≥25.0, n=11) according to predischarge BMI. Underweight patients showed higher compliance with app usage and a higher rate of achieving the target calorie and protein intake than normal weight and overweight patients (98% vs. 77% vs. 81%, p=0.0313; 102% vs. 75% vs. 61%, P=0.0111; 106% vs. 79% vs. 64%, P=0.0429). Two patients transitioned from underweight to normal weight (50.0%), one patient (4.3%) transitioned from normal weight to underweight, and two patients (22.2%) transitioned from overweight to normal weight. Conclusions: The mobile app is feasible and useful for postoperative supportive care in terms of ease of learning, usability, and effectiveness. Digital therapeutics may be an effective way to provide supportive care for postgastrectomy patients, particularly in terms of nutrition. [ABSTRACT FROM AUTHOR]

Objective: The primary aim of this study is to develop a prediabetes mobile application (PREDIABE-TR) designed in Turkish containing information and advice for individuals at risk of developing diabetes; the secondary aim is to determine whether the use of this application can make a difference in the participants' eating according to the Mediterranean diet plan, or in their physical activity and other diabetes-related metabolic parameters. Methods: The adults in the experimental group will be using the PREDIABE-TR mobile application for a period of 6 months. The application consists of a pedometer, a diet diary, and sections on diabetes risk, an instructor and a body mass index calculator. Individuals can use the mobile app to contact a public health nurse or academic on a 24/7 basis. Public health nursing can thus perform a consulting role within this framework. Over the same period, the control group will use the Turkish Nutrition Guide and the Diabetes Checklists mobile application distributed by the Turkish Ministry of Health. At the end of the six-month period, a review will be made of the diabetes metabolic data, physical activity levels and the Mediterranean diet eating behaviors. Results: The benefits of interventions to promote a healthy lifestyle are evident in terms of preventing a transition from prediabetes to diabetes and maintaining present status. Conclusion: This study describes the effect of the use of a mobile application by individuals with prediabetes on metabolic parameters. If reductions can be achieved in metabolic parameters (such as HbA1c), it can be concluded that the mobile app is effective. [ABSTRACT FROM AUTHOR]

Objective: Breast cancer has a strong impact on the mental state of those affected. Cognitive behavioral therapy (CBT) is one effective approach to reduce disease burden. This randomized controlled pilot trial aimed to assess the effect of the digital CBT‐based application Living Well on psychological outcomes in a German female breast cancer population. Methods: Female breast cancer patients (n = 70) with ongoing or finished oncological treatment that is who were receiving or had received any type of oncological treatment were included in the study and randomized to an intervention group (IG, n = 32) receiving Living Well in addition to care as usual, and a control group (CG, n = 38) receiving care as usual only. Participants completed standardized questionnaires at baseline and after 2, 4, 8, and 12 weeks to assess anxiety and depression (HADS) as primary outcomes, distress (DT), health‐related quality of life (HRQoL, AQoL‐8D), and illness perception (B‐IPQ) as secondary outcomes. Results: After 12 weeks, significant (p < 0.05) higher improvements in the IG could be observed in anxiety levels, HRQoL, and illness perception, when compared to the CG. Age and time since diagnosis were found to be relevant covariates for anxiety levels. In distress levels, the IG showed a clinically relevant and nearly significant reduction compared to the CG (p = 0.057). No effects could be observed in depression levels. Conclusions: The results demonstrate the potential of Living Well to improve psychological outcomes of female breast cancer patients and encourage further studies evaluating the effectiveness of the digital application. Trial Registration: The trial has been registered in the German Clinical Trials Register (DRKS00029918) [ABSTRACT FROM AUTHOR]

The objective of this article was to demonstrate that the third-grade elementary school mobile application for mathematics, Matercergrado, enhanced collaborative problem-solving. The instructional design of the application followed the ADDIE methodology, and its creation employed the Mobile-D methodology. The research approach was mixed and descriptive, with a convenience sample of 18 participants from an elementary school in the municipality of Nezahualcóyotl, State of Mexico. These participants completed a Likert-type survey, validated using the Delphi method and Cronbach's Alpha, which evaluated usability, interface design, functionality, thematic content, and comprehension of exercises and components. The results indicated that students highly appreciated Matercergrado, and teachers validated its thematic content and explanatory procedures for teaching mathematics. In addition, students reported collaborative and union sentiments while solving problems and doing exercises. Overall, Matercergrado achieved excellent results during the study, showing the potential to enhance students' understanding and academic performance. [ABSTRACT FROM AUTHOR]

The transportation industry has been recognized as one of the industries that can benefit from investment in blockchain-based systems and services that enable distributed data management and improve the effectiveness and efficiency of the transportation sector. However, the literature needs a guiding framework for integrating blockchain in issuing and preserving public transportation transactions in a technical environment that is secure, efficient, and transparent. This study proposes a blockchain-based transportation wallet (BTW) framework that facilitates the main digital transactions across diverse public transportation services. BTW embodies leveraging blockchain technology, which provides a decentralized and immutable ledger that records and verifies transactions, ensuring trust and reducing the risk of fraud. The framework has been validated by developing a blockchain-based public transportation smart wallet named "RideChain". This serves as a single decentralized point for making public transportation transactions and payments, as well as identity authorizations and management. RideChain enhances passengers' and service providers' experience through a secure and authentic platform for offering several reliable public transportation transactions efficiently. In this study, we implemented a smart contract to establish a protocol between passengers and journey services. The testing methodologies used in this study comprise unit testing, integration testing, performance testing, and user acceptance testing. The findings suggest that BTW has been successfully verified to demonstrate its capability for secure transactions, authenticity of monetary transactions, automated smart contracts, decentralized identity authentication, and effortless payments. [ABSTRACT FROM AUTHOR]

This manuscript presents a novel geofencing method in behavioral research. Geofencing, built upon geolocation technology, constitutes virtual fences around specific locations. Every time a participant crosses the virtual border around the geofenced area, an event can be triggered on a smartphone, e.g., the participant may be asked to complete a survey. The geofencing method can alleviate the problems of constant location tracking, such as recording sensitive geolocation information and battery drain. In scenarios where locations for geofencing are determined by participants (e.g., home, workplace), no location data need to be transferred to the researcher, so this method can ensure privacy and anonymity. Given the widespread use of smartphones and mobile Internet, geofencing has become a feasible tool in studying human behavior and cognition outside of the laboratory. The method can help advance theoretical and applied psychological science at a new frontier of context-aware research. At the same time, there is a lack of guidance on how and when geofencing can be applied in research. This manuscript aims to fill the gap and ease the adoption of the geofencing method. We describe the current challenges and implementations in geofencing and present three empirical studies in which we evaluated the geofencing method using the Samply application, a tool for mobile experience sampling research. The studies show that sensitivity and precision of geofencing were affected by the type of event, location radius, environment, operating system, and user behavior. Potential implications and recommendations for behavioral research are discussed. [ABSTRACT FROM AUTHOR]

Mobile applications for learning management systems (LMS) are becoming extremely common in higher education institutions, with student satisfaction (SS) being crucial for their adoption and effectiveness. This study addresses the gap in understanding factors influencing SS with LMS mobile applications by employing structural equation modeling (SEM) based on the technology acceptance model (TAM). Quantitative study was adopted in this study, involving 475 undergraduate students. The findings of the study revealed that students' satisfaction with mobile applications for LMS is significantly and positively influenced by external factors (mobile application self-efficacy, content quality, and enjoyment), as well as perceived ease of use and perceived usefulness. The results provide practical insights for decision-makers, professionals, and developers in higher educational institutes on how to effectively implement e-learning systems using mobile applications. [ABSTRACT FROM AUTHOR]

Despite the widespread necessity of students to learn English, Peruvian students face challenges that include a lack of motivation, overwhelmed academic expectations, and low socioeconomic status. Therefore, in this paper, a mobile application that employs virtual reality and gamification is proposed to improve English language learning among Peruvian high school students. This research consists of three stages: (1) review, (2) proposal, and (3) validation. In (1), an exhaustive review of teaching techniques, gamification strategies, and virtual reality models applied to English language learning is carried out. In (2), specific guidelines are selected for the implementation of teaching techniques, gamification, and type of virtual reality for the construction of the mobile application, using Google Cardboard virtual reality glasses. Finally, in (3) the validation of the mobile application is reported, in which 58 high school students participated. Data were collected on student performance before and after using the application. The results showed that students increased their performance in the English language by 22%. This percentage was measured by the average of the grades taken at the beginning and at the end of the experiment. [ABSTRACT FROM AUTHOR]

Traditional hydration assessment methods, while accurate, are often invasive and impractical for routine monitoring. In response, innovative non-invasive techniques such as bioelectrical impedance analysis (BIA), electrodermal activity (EDA), electrocardiogram (ECG) monitoring, and urine color charts have emerged, offering greater comfort and accessibility for patients. These methods use various types of sensors to capture a range of bio-signals, followed by machine learning-based classification or regression methods, providing real-time feedback on hydration status, which is crucial for effective management and prevention of urinary stones. This review explores the principles, applications, and efficacy of these non-invasive techniques, highlighting their potential to transform hydration monitoring in clinical and everyday settings. By facilitating improved patient compliance and enabling proactive hydration management, these approaches align with contemporary trends in personalized healthcare. This article presents a literature review on non-invasive approaches to hydration assessment, focusing on their significance in preventing kidney stone disease and enhancing kidney health. [ABSTRACT FROM AUTHOR]

Mobile applications hold promise to foster sustainable mobility behavior, but evaluations of their effectiveness are subject to a number of empirical challenges. We conduct a randomized controlled trial with three distinctive features: unobtrusive tracking of the control group, limited sample attrition, and a representative sample. In our study, 410 participants track their mobility behavior over a 5 week period. After 1 week, the treatment group engages with the user interface of the "Swiss Climate Challenge App". The user interface combines information on individual CO 2 emissions with gamification features. We find a treatment effect that implies a 9.8 % reduction in emissions caused by access to the mobile application. While we lack the statistical power to exclude a zero average effect, we find statistically significant emission reductions in the second half of the intervention period, among subjects in medium population density areas, and among men. Our findings suggest that mobile applications could generate considerable net benefits, but larger studies will be needed for validation. [ABSTRACT FROM AUTHOR]

Objectives Methods Results Conclusions Klick is a clinic‐specific, digitally supported outpatient pathway of care for people living with HIV (PLWH). It involves a smartphone application (app) for PLWH to self‐manage their care, navigate access to the clinic and communicate with their healthcare provider. We present a patient evaluation of Klick.Patients use Klick to book/reschedule appointments, view laboratory results, request medication, access remote nurse‐delivered consultations and communicate with clinicians. In October 2022, Klick was evaluated by PLWH through a questionnaire and interviews.Between August 2020 and April 2024, 5859 patients had registered to use Klick; during April 2024 alone, 2509 (43%) used Klick. In October 2022, 1661 PLWH were invited to complete surveys, of whom 362 (22%) responded. These respondents were 95% (340/358) male and 84% (298/354) white, and 63% (227/359) were in the age range 41–60 years. Respondents felt Klick was easy to use (average score 4.3/5), and 92% thought having a clinic‐specific app was important/very important. Respondents valued the following app features as important/very important – online booking (93%); viewable results (94%); prescription requests (90%) – and rated their experience of using them highly – 91% for e‐booking and 91% for viewable results. A total of 93% said they would recommend Klick to friends and 82% rated Klick as above average/excellent.PLWH reported high levels of satisfaction using a clinic‐specific mHealth app to manage their HIV care and demonstrated sustained active use. Klick was rated easy to use, as helping to meet healthcare needs and as providing a superior experience for some aspects of care. Other HIV clinics or services managing chronic conditions could benefit from the adoption of personalized digital solutions to enhance patient care. [ABSTRACT FROM AUTHOR]

Statistical education at university level faces significant challenges, particularly with the rapid advancements in technology and evolving teaching methods. Updating teaching methodologies for statistics in higher education is essential. Information technologies can greatly enhance the learning of statistical content, but many existing platforms are not well-suited for university contexts, either due to language barriers or how the content is presented (often confusing, with limited explanations or lacking context). It is crucial to have a student-centered platform that addresses these issues, ensuring an effective and efficient learning experience. This study introduces "EstApp", an innovative mobile application prototype designed for teaching and learning descriptive statistics in university courses. The application was developed using the Design Thinking methodology, which emphasizes user experience and focuses on the needs of the end users. The design process involved stages of empathizing, defining, ideating, prototyping, and testing, culminating in validation through user tests with university students and professors. This study concludes that EstApp's functionalities enhance understanding of (1) statistical models through interactive graphs and data visualizers; (2) probability concepts via a probability calculator; and (3) descriptive statistics through real-time data generation and visualizers. [ABSTRACT FROM AUTHOR]

Purpose: Individualized anticoagulation therapy is a major challenge for patients after heart valve replacement. Mobile applications assisted by Artificial intelligence (AI) have great potential to meet the individual needs of patients. The study aimed to develop an AI technology-assisted mobile application (app) for anticoagulation management, understand patients' acceptance of such applications, and determine its feasibility. Methods: After using the mobile application for anticoagulation management for 2 weeks, patients, doctors, and nurses rated its usability using the System Usability Scale (SUS). Additionally, semi-structured interviews were conducted with some patients, doctors, and nurses to gain insights about their thoughts and suggestions regarding the procedure. Results: The study comprised 80 participants, including 38 patients, 18 doctors, and 24 nurses. The average SUS score for patients was 82.37± 5.45; for doctors, it was 84.17± 5.82; and for nurses, it was 81.88± 6.44. This means the patients, physicians, and nurses rated the app highly usable. Semi-structured interviews were conducted on the app's usability with 18 participants (six nurses, three physicians, and nine patients). The interview results revealed that patients found the application of anticoagulation management simple and convenient, with high expectations for a precise dosage recommendation of anticoagulant drugs. Some patients expressed concerns regarding personal information security. Both doctors and nurses believed that elderly patients needed assistance from young family members to use the app and that it could improve patients' anticoagulant self-management ability. Some nurses also mentioned that the use of the app brought great convenience for transitional care. Conclusion: This study confirmed the feasibility of using an AI technology-assisted mobile application for anticoagulation management in patients after heart valve replacement. To further develop this application, challenges lie in continuously improving the accuracy of recommended drug doses, obtaining family support, and ensuring information security. [ABSTRACT FROM AUTHOR]

Objectives: Our aim was to study how hemodialysis patients with varying levels of literacy would use a diet and fluid intake monitoring mobile application (DIMA-P) and what would be its impact on their dietary behaviors. Materials and Methods: We developed a mobile application using user-centered methods and informed by the Integrated Theory of Health Behavior Change (ITHBC). Eight hemodialysis patients were recruited to use the application to record and monitor their diet and fluid intakes for a 6-week study. Overall, the participants had low literacy, numeracy, and technical skills. We collected the data on application usage and administered usability and context-of-use questionnaires to gain insights into the participants' interaction with the application. The participants' portion estimation skills and dietary self-regulation self-efficacy were assessed using various tests. In addition, interdialytic weight gain data were collected to assess the impact of app usage on the participants' health outcomes. Results: The application usage patterns varied, with a general trend towards frequent use (n = 5) correlating with engagement in self-monitoring. The participants gave high comprehensibility, user-friendliness, satisfaction, and usefulness ratings, suggesting that the app was well designed and the target users could easily navigate and interact with the features. While the participants improved in estimating portion sizes, the impact on measuring skills was variable. There was also an improvement in the participants' dietary self-regulation self-efficacy post-study. The interdialytic weight gain trends indicated a slight improvement in fluid and diet management. Conclusion: People with different literacy skills can effectively use icon-based interfaces for portion size estimation and develop personalized usage patterns to self-regulate their fluid and dietary intakes. Moreover, they can experience an enhancement in their dietary self-efficacy skills by using a mobile application aimed at providing nutritional feedback. Furthermore, this research shows that the constructs of the ITHBC are effective in promoting dietary behavior change in a population with varying literacy skills. The target users can benefit from explicitly visualizing the relationship between their health outcomes and the factors influencing those outcomes. These user ambitions could be supported by developing machine learning models. Future research should also focus on enhancing the mechanisms by which technology can further enhance each component of the ITHBC framework. [ABSTRACT FROM AUTHOR]

The article shows the results of a situational analysis of a case study with the elements of an experiment to find out the expediency of mobile application use in media education. The case study is aimed at researching the process of mobile learning within a single social object – a group of 32 students, members of the workshop "Young Journalists", aged 8–14. We used a beta version of the application, which is now about to go into open access on the platform GooglePlay. In the course of development, the function was tested involving the focus group. According to the testing results, adjustments and upgrades to the application services were made. The results prove that the effective version of the mobile application is a communicative platform that can perform the functions of a presenter of theoretical information, a simulator of practical skills, and a space for checking the gained knowledge. This platform can also provide wide opportunities for interaction between teachers and members of the educational process. The authors created a communicative environment as a closed social network, which will encourage students to learn, give parents information about their children's achievements, and spread the material created by the students. [ABSTRACT FROM AUTHOR]

Purpose: The primary objective was to develop a user-centered mobile health application (app) tailored to the specific health information needs of among immigrant women from diverse backgrounds in Korea. Design/methodology/approach: In-depth interviews were conducted with 24 immigrant women to gain insights into their health information-seeking behavior. Based on the findings, a mobile app was designed and developed. A beta version of the app underwent validation by an MD and seven expert reviewers who assessed the app for content accuracy and conformance to mobile heuristics. Last, immigrant women (n = 12) evaluated the usability of the app. Findings: The study revealed that the interviewed immigrant women had strong health information needs related to pregnancy and parenting. Most of them used multiple sources to find and verify health information. Language barriers were identified as a major obstacle to accessing and evaluating health information. The results of the user test indicated that the app effectively facilitated study participants' search for reliable health information, meeting their specific needs. Research limitations/implications: This research extended the literature by addressing the limited availability of mobile apps tailored to the health information needs of immigrant women in Korea. Originality/value: By incorporating multilingual support and focusing on pregnancy and parenting information, the health app serves as a valuable tool to bridge the gap in health information access and to facilitate the well-being of immigrant women in the country. [ABSTRACT FROM AUTHOR]

Aim: To investigate the effect of a nurse support using a proactive mobile app to enhance parental self‐efficacy in symptom management for children with medical complexity. Design: A single‐blinded, randomized controlled trial with a two‐armed repeated measures design. Methods: Eligible parents and the children will be recruited from the special schools and non‐government offices. They will be randomly assigned either to the intervention or control groups. Subjects in the study group will receive nurse parental support using a symptom management mobile app for 3 months. The control group will receive the usual care that is available in the community. Data will be collected pre‐intervention (T1), immediately after the intervention (T2), and three‐month after intervention (T3). The primary outcome is parental self‐efficacy. The secondary outcomes include child's symptom burden and their health service utilization. Primary outcome will be compared across two groups in T2 and T3 using with control for the pre‐test value of parental self‐efficacy. Generalized estimating equation (GEE) will be used to address secondary objectives from T1 to T3 with appropriate link function. Discussion: As a result of the successful implementation of this nurse‐led symptom management, parental self‐efficacy will be enhanced. Both the symptoms reported by the children and their health service utilization will be reduced. Findings of this study will help in service delivery improvements because it maximizes the availability and accessibility of paediatric health service to parents and the children in local communities. Impact: The evidence produced in this study will enlarge the knowledge base that supports evidence‐based paediatric home nursing service with the use of health technology in symptom management. This evidence will also contribute to the development of other symptom management programs for other paediatric patient groups. Trial registration: NCT05765643 (ClinicalTrials.gov identifier). Patient or public contribution: Parents of children with medical complexity contributed in mobile application development by giving comments on the usability of mobile application. Impact will be generated through the following benefits: Improve health service delivery: Home nursing service may not be sustainable in a long run in Hong Kong, as the health care system has been facing a serious nursing workforce shortage in recent years. Besides, these services are affected or even suspended during the community outbreak of infectious disease, like recent coronavirus disease pandemic. Nurse parental support in symptom management for the CMC using a proactive mobile health application will help in service delivery improvements because it maximizes the availability and accessibility of paediatric health service to parents and their CMC in local communities.Improve physical and psychological health of parents and their CMC: The success of program implementation will help to increase parental self‐efficacy in symptom management for their CMC, as a result of decrease of children's symptom burden.Improve knowledge base: The evidence produced in this study will (1) enlarge the knowledge base that supports evidence‐based paediatric community nursing service related to symptom management for the CMC. This evidence will contribute to the development of other symptom management programs for other paediatric patient groups. [ABSTRACT FROM AUTHOR]

Aim: This study provides an overview of the literature to identify and map the types of available evidence on self‐supporting mobile applications used by nurses in wound care regarding their development, evaluation and outcomes for patients, nurses and the healthcare system. Design: Scoping review. Review Method: Joanna Briggs Institute scoping review methodology was used. Data Sources: A search was performed using MEDLINE, Embase, CINAHL (via EBSCO), Web of Science, LiSSa (Littérature Scientifique en Santé), Cochrane Wounds, Érudit and grey literature, between April and October 2022, updated in April 2023, to identify literature published in English and French. Results: Eleven studies from 14 publications met the inclusion criteria. Mostly descriptive, the included studies presented mobile applications that nurses used, among other things, to assess wounds and support clinical decision‐making. The results described how nurses were iteratively involved in the process of developing and evaluating mobile applications using various methods such as pilot tests. The three outcomes most frequently reported by nurses were as follows: facilitating care, documentation on file and access to evidence‐based data. Conclusion: The potential of mobile applications in wound care is within reach. Nurses are an indispensable player in the successful development of these tools. Implications for the Profession and Patient Care: If properly developed and evaluated, mobile applications for wound care could enhance nursing practices and improve patient care. The development of ethical digital competence must be ensured during initial training and continued throughout the professional journey. Impact: We identified a dearth of studies investigating applications that work without Internet access. More research is needed on the development of mobile applications in wound care and their possible impact on nursing practice in rural areas and the next generation of nurses. Reporting Method: The Preferred Reporting Items for Systematic Reviews and Meta‐analysis Extension for Scoping Review guidelines were used. Patient or Public Contribution: No patient or public contribution. [ABSTRACT FROM AUTHOR]

DailyConnect is a visual-based mobile application that supports children with autism spectrum disorder (ASD) in recalling memories by reviewing photos through discrete trial training (DTT) to understand situation-based emotions. To assess DailyConnect and its adaptability to a child's characteristics and emotional situations, a pilot study was conducted that included 15 children with ASD and their parents and teachers. The DTT steps—memory recall and situation recognition, emotion recognition, emotion cues, facial expression recognition, and response behavior—were reliable in assessing the understanding of emotional situations when compared before and after the intervention in four categories of emotional situations, namely, happiness, sadness, anger, and fear. The results revealed that DailyConnect improves the understanding of situation-based emotions, particularly negative emotions (e.g., sadness: mean diff = −.687, sig. <.01, T = −3.866, d = 1.006; anger: mean diff = −.952, sig. <.01, T = −6.187, d =.705; fear: mean diff = −.961, sig. <.01, T = −5.522, d =.627); however, its effectiveness varied for children in different emotional situations. Furthermore, subjective feedback from participants and users (parents and teachers) provided insights into design considerations for similar mobile aids. [ABSTRACT FROM AUTHOR]

• One of the best ways to improve the health of seniors is through physical activity. • Health promotion and physical activity practices for the elderly are important but still. • It is important to raise awareness about improving health in the elderly in preventive health services. • Multiple nursing interventions were effective in promoting healthy living behaviors of the elderly. Health promotion and physical activity practices for the elderly are important but still not sufficient. This study aimed to determine if the effects of education through home visit, mobile application (Google Fit), group walking, and phone reminder interventions on health promotion and physical activity in the elderly. The study has a randomized controlled design with pretest-posttest interventions and a control group. The study sample consisted of 66 elderly individuals, 33 of whom were assigned to the intervention group and 33 to the control group by randomization. Multiple nursing interventions, including education through home visit, mobile application (Google Fit) use, group walking, and phone reminder messages, were implemented by the researcher in line with Pender's Health Promotion Model. The first month score of the intervention group participants on the healthy lifestyle habits subscale was higher than that of the control group participants (all p-values < 0.05). The effect size was 0.577 (high effect size) and the confidence interval was 0.085-1.07. It can be recommended that interventions with reminders and repetitions regarding healthy lifestyle behaviors to health promotion in the elderly be planned. [ABSTRACT FROM AUTHOR]

Social Commerce (S-commerce) is an emerging subset of e-commerce, enabled by Web 2.0, which is getting more attention due to the growing interest in social media. Along with the worldwide penetration of smartphones, their usability is boosted via mobile applications. In this research we have investigated the components of a social commerce mobile application business model using a text-analytics approach. The data is gathered from previous journal articles, and users reviews about selected mobile applications (Facebook, Instagram, Etsy, Pinterest, TikTok). Considering mobile applications as a platform for social commerce transactions and with Osterwalder Business Model Canvas as our reference model, we have identified business model building block components and three main aspects to develop a model for social commerce mobile businesses. The proposed model is presented with 3 aspects (Social, Commercial, Technological), 9 building blocks and 26 components. Model verification is done by expert interviews and its validation is done by reviewing two businesses. We have finally looked at the results from the lens of three theories including Design Theory, Sociomateriality Theory, and Stakeholder Theory to provide theoretical implications. [ABSTRACT FROM AUTHOR]

This research aims to improve the quality of Telkomedika Telkom University Clinic services by developing a mobile application that is tailored to the personality type of patients with conscientiousness. This Mobile Application is designed to fulfill the patient's need for service information through the service information feature and streamline the queuing process through the online reservation feature. Through the use of the DISC personality type approach, this study focuses on the preferences and characteristics of patients to increase satisfaction. Users or patients with this conscientious personality type tend to be meticulous, systematic, and structured. Therefore, a structured interface design and also an easy-to-understand task flow will help users in using the application efficiently. The results of the study show the importance of understanding user preferences in designing applications. Usability Testing on the Telmed 2.0 application prototype resulted in a Single Ease Question (SEQ) score of 6.88, indicating ease of use. In addition, User Acceptance Testing showed that all features worked well, with a score of 91.5 on the System Usability Scale (SUS), indicating an excellent level of ease of use of the application. [ABSTRACT FROM AUTHOR]

A ground-breaking smartphone app called EngageLearnPro was created to improve learning efficiency improvement strategies in the context of public English education. With the use of cutting-edge technologies like Ant Colony Optimization (ACO) and Long Short-Term Memory (LSTM), this app creates a dynamic and captivating method of language learning. Intelligent sequence modeling is made possible by the combination of LSTM and allows for customized learning paths that adjust based on the progress of each individual user. On the other hand, ACO maximizes the app's decision-making processes, improving the overall effectiveness of language learning techniques. The decision to use a mobile app environment for this initiative was made in light of the fact that smartphones are widely used and can provide education to a wider range of people. By utilizing the interactive and user-centric qualities of mobile devices, EngageLearnPro makes sure that learning happens naturally in users' everyday lives. By combining LSTM and ACO technologies, a customized and adaptive learning experience is provided, accommodating a wide range of learning styles. EngageLearnPro offers an inclusive, cutting-edge, and effective platform with the goal of closing the gap in public English education. We hope to transform language learning by combining the best features of LSTM and ACO into a mobile application that is not only efficient but also fun and available to students of all backgrounds and ability levels. [ABSTRACT FROM AUTHOR]

IoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. This study explores the growing potential of IoT-based facial recognition for mobile devices, a technology rapidly advancing within the interconnected IoT landscape. The investigation proposes a framework called IoT-MFaceNet (Internet-of-Things-based face recognition using MobileNetV2 and FaceNet deep-learning) utilizing pre-existing deep-learning methods, employing the MobileNetV2 and FaceNet algorithms on both ImageNet and FaceNet databases. Additionally, an in-house database is compiled, capturing data from 50 individuals via a web camera and 10 subjects through a smartphone camera. Pre-processing of the in-house database involves face detection using OpenCV's Haar Cascade, Dlib's CNN Face Detector, and Mediapipe's Face. The resulting system demonstrates high accuracy in real-time and operates efficiently on low-powered devices like the Raspberry Pi 400. The evaluation involves the use of the multilayer perceptron (MLP) and support vector machine (SVM) classifiers. The system primarily functions as a closed set identification system within a computer engineering department at the College of Engineering, Mustansiriyah University, Iraq, allowing access exclusively to department staff for the department rapporteur room. The proposed system undergoes successful testing, achieving a maximum accuracy rate of 99.976%. [ABSTRACT FROM AUTHOR]

The rapid growth of urbanization and industrialization has brought the issue of waste management to the forefront. Industrial, household, and medical waste management and disposal are major issues affecting the whole world. The adoption of digital technologies across society is largely a result of the increasing processing power of waste and decreasing costs. Waste management and recycling is also benefiting from emerging digital technologies. The Internet of Things, cloud computing, artificial intelligence, robotics, and data analytics are a few examples of specific digital technologies that are currently in use and are predicted to have a significant impact on the efficiency of the waste recycling industry in the future. The objective of this review, which was conducted using the bibliometric method and visualized with scientific mapping, is to demonstrate how the digital transformation of waste recycling has evolved over the last decade and to identify which issues have been overlooked or have become more prominent. The scope of the research is based on studies carried out all over the world and on digital applications and works in the field of waste recycling. In this review, bibliometric analysis was used to scan the entire field and the results were classified and interpreted according to the PRISMA (preferred reporting of systematic reviews and meta-analyses) methodology. [ABSTRACT FROM AUTHOR]

Students need to have a good understanding of occupational health and safety to avoid accidents during practical activities and in the workplace. To help with this, digital technology can be used to create learning materials and media that aid in achieving learning objectives. This study aimed to develop a mobile application that could be used as a learning resource during practical activities in workshops. The research was carried out at the Department of Construction and Housing Engineering in a Vocational High School in Surakarta, using the Alessi & Trollip research method. The development process consisted of three stages: Planning, Designing, and Development. The study employed various techniques, such as questionnaires, interviews, observation, and documentation, to collect research data. The study used interactive models to analyze qualitative data and descriptive statistics to analyze quantitative data. As a result, the learning resource created has a material suitability level of 90% and media suitability of 100%. User testing has shown positive results, with individual test scores averaging 90% and class test scores averaging 90.35%, which is rated as "very good." This study aims to provide an appropriate learning resource that addresses the identified problems. [ABSTRACT FROM AUTHOR]

This study aims to analyze the influence of perceived benefit and perceived risk on purchase decisions mediated by purchase intention in Alfagift application users. Perceived benefit refers to the benefits felt by consumers when using an application, while perceived risk relates to potential losses or uncertainties that may be faced. Purchase intention is the consumer's intention to buy, which is influenced by the perception of benefits and risks. This study uses a quantitative approach with a survey method to collect data from Alfagift application users. Data analysis was carried out using multiple regression models and path analysis to test the role of purchase intention as a mediating variable. The results of the study show that perceived benefits have a significant positive influence on purchase intention and purchase decision. On the other hand, perceived risk has a negative effect on purchase intention, but does not directly affect purchase decision without being mediated by purchase intention. Purchase intention has proven to be an important mediator in the relationship between perceived benefit, perceived risk, and purchase decision. These findings provide insights for app developers to improve perceived benefits and mitigate risks to drive consumer intent and purchase decisions. [ABSTRACT FROM AUTHOR]

Abstract Background The steep increase in knee arthroplasties in lower- and middle-income countries has increased demand for personalised rehabilitation care. Technology-based rehabilitation programs offer potential to replace or augment conventional face-to-face rehabilitation for providing continuum of care. We aimed to systematically develop a theory, evidence-driven, contextualised, and user-centred mobile health platform for people undergoing knee arthroplasty to facilitate monitoring progress during rehabilitation. Methods We followed the UK Medical Research Council’s framework and adopted a behaviour design thinking approach, consisting of five steps; (1) conduct multiple literature reviews and cross-sectional surveys to determine the needs and problems experienced during the rehabilitation phase by healthcare professionals and individuals with replaced knees, (2) identify target behaviours along with barriers and facilitators, integrated within the Capability, Opportunity, Motivation-Behaviour (COM-B) framework, (3) identify intervention functions and components, behaviour change techniques, and features for the mobile application, selected after discussions with orthopaedic surgeons, physiotherapists and behavioural experts, (4) develop a prototype application for end-users, and a web-based platform for healthcare professionals, and (5) pilot test the intervention for end-users’ feedback on usability of the application and to identify possible strategies for implementing the intervention package. Results Using the COM-B model, education, training, persuasion, enablement, and modelling were chosen as intervention functions for improving adherence to exercise protocol during early-phase of rehabilitation. The application featured five interlinked components; education, training, goal setting and self-management, communication, and a personalized therapy plan utilising 13 behaviour change techniques. An education booklet, exercise videos, text messaging, video consultation, and a digital tool for measuring range of motion were incorporated into the application. Feedback on the interactive prototype and education material was sought from ten patient volunteers and a physiotherapist. Pilot testing in a convenient sample with broad eligibility criteria (n = 30) indicated importance of digital literacy and dedicated time for remote consultation by healthcare provider within the existing clinical work. Overall, the intervention was well received and valued by the end users. Conclusion This paper demonstrates the development of a contextualised digital behavioural intervention grounded in behavioural theory and evidence from literature to improve end-user’s engagement with rehabilitation protocols after knee arthroplasty in lower- and middle-income country context. Trial registration Study registered prospectively (on 16 February 2023) at Clinical Trials Registry of India (CTRI/2023/02/049792).