Mobile Apps Research Articles

An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study.

Previous research demonstrated that caregivers of children with cancer desired a mobile health (mHealth) tool to aid them in the medical management of their child. Prototyping and alpha testing of the Cope 360 app (Commissioning Agents, Inc) resulted in improvements in the ability to track symptoms, manage medications, and prepare for urgent medical needs. This study aims to engage caregivers of children with cancer in beta testing of a smartphone app for the medical management of children with cancer, assess acceptance, identify caregivers' perceptions and areas for improvement, and validate the app's design concepts and use cases. In this pilot, study caregivers of children with cancer used the Cope 360 mHealth app for 1 week, with the goal of daily logging. Demographics and a technology acceptance survey were obtained from each participant. Recorded semistructured interviews were transcribed and analyzed iteratively using NVivo (version 12, QSR International) and analyzed for information on usage, perceptions, and suggestions for improvement. A total of 10 caregivers participated in beta testing, primarily women (n=8, 80%), married, with some college education, and non-Hispanic White (n=10, 100%). The majority of participants (n=7, 70%) had children with acute lymphocytic leukemia who were being treated with chemotherapy only (n=8, 80%). Overall, participants had a favorable opinion of Cope 360. Almost all participants (n=9, 90%) believed that using the app would improve their ability to manage their child's medical needs at home. All participants reported that Cope 360 was easy to use, and most would use the app if given the opportunity (n=8, 80%). These values indicate that the app had a high perceived ease of use with well-perceived usefulness and behavioral intention to use. Key topics for improvement were identified including items that were within the scope of change and others that were added to a future wish list. Changes that were made based on caregiver feedback included tracking or editing all oral and subcutaneous medications and the ability to change the time of a symptom tracked or medication administered if unable to do so immediately. Wish list items included adding a notes section, monitoring skin changes, weight and nutrition tracking, and mental health tracking. The Cope 360 app was well received by caregivers of children with cancer. Our validation testing suggests that the Cope 360 app is ready for testing in a randomized controlled trial to assess outcome improvements.

Artificial Intelligence and Mobile Apps Support Intelligent Healthcare Systems for Mental Health Services

Artificial Intelligence and Mobile Apps Support Intelligent Healthcare Systems for Mental Health Services

Analysis of cigar marketing expenditures by product category, placement strategy and geolocation in the USA, from 2017 to 2022

SignificanceThe marketing of cigars, little cigars and cigarillos (CLCCs) and cigar wraps is under-regulated and understudied in the USA. To describe strategies CLCC manufacturers and vendors used to advertise their...

Home-Based Digital Exercise Training Program to Improve Physical Function of Older Sepsis Survivors: Protocol of the HEAL Sepsis Randomized Clinical Trial.

While sepsis, an exaggerated response to infection, can affect people of all age groups, it is more prevalent in middle-aged and older adults. Older adults suffer worse short-term and long-term outcomes than younger patients. Older sepsis survivors are commonly discharged to long-term acute care facilities, where they often die within 1 year. Those who return home from the hospital lose the momentum of physical function improvement after early inpatient rehabilitation, and often face exacerbation of comorbidities and decline in physical function. Additionally, patients who are discharged home often live at distant locations and are not able to commute to rehabilitation centers due to their poor health status. Therefore, remotely delivered exercise interventions tailored to this population hold promise to improve physical function safely and effectively after sepsis. However, this type of intervention has yet to be tested in this population. This study aims to assess the safety, feasibility, and ease of recruitment and retention of participants for a remotely delivered physical activity intervention for improving physical function in middle-aged and older sepsis survivors. The proposed intervention will be delivered through a digital health platform that comprises a patient-facing mobile app and a 12-week physical activity program specifically designed for middle-aged and older sepsis survivors with poor health status who may face challenges participating in traditional out-patient or community-based exercise interventions. This study is ongoing and plans to enroll 40 sepsis survivors aged 55 years and older who will be randomized to either a remotely delivered exercise intervention group or a control group (electronic health diary). Both groups will use a tablet containing the Health in Motion app (Blue Marble Health). The intervention group will receive a clinician-designed personalized avatar-guided home exercise program and reminders while the control group will self-report daily activities using the in-app health diary feature. This study is the first to use a home-based, remotely monitored 12-week exercise program to improve physical function in sepsis survivors. This study will evaluate the safety, feasibility, and efficacy, providing the necessary knowledge to design and calculate power for future larger trials. This study will provide important information for planning a future randomized clinical trial to test the efficacy of a remotely delivered exercise intervention in this high-risk population. ClinicalTrials.gov NCT05568511; https://clinicaltrials.gov/study/NCT05568511. DERR1-10.2196/60270.

Technological Interventions to Implement Prevention and Health Promotion in Cardiovascular Patients.

Background/Objectives: The aim of the narrative review is to identify information on the impact of technological interventions (such as telehealth and mobile health) on the health promotion of cardiac patients from diverse populations. Methods: The online databases of PubMed and the Cochrane Library were searched for articles in the English language regarding technological interventions for health promotion in cardiac patients. In addition, a methodological quality control process was conducted. Exclusion was based on first reading the abstract, and then the full manuscript was scanned to confirm that the content was not related to cardiac patients and technological interventions. Results: In all, 11 studies were included in this review after quality control analysis. The sample size reported in these studies ranged from 12 to 1424 subjects. In eight studies mobile phones, smartphones, and apps were used as mHealth interventions with tracking and texting components; two studies used videoconferencing as a digital intervention program, while three studies focused on using physical activity trackers. Conclusions: This review highlights the positive aspects of patient satisfaction with the technological interventions including, but not limited to, accessibility to health care providers, sense of security, and well-being. The digital divide becomes apparent in the articles reviewed, as individuals with limited eHealth literacy and lack of technological knowledge are not motivated or able participate in these interventions. Finding methods to overcome these barriers is important and can be solved to some extent by providing the technology and technical support.

Evaluating the impact the Self‐Compassion App has on levels of compassion, psychological distress and well‐being

AbstractIntroductionThe Self‐Compassion App is the first commercially available, smartphone app based upon the ideas and practices of Compassion‐Focused Therapy. Through 28 sessions, the app supports individuals to develop compassionate minds and, in doing so, promotes well‐being and reduces psychological distress (e.g. self‐criticism and shame).AimThis study evaluated the impact the app had on participants' levels of compassion, well‐being, self‐criticism and psychological distress.MethodologyFifty‐two participants—consisting of staff and students at the University of Salford—took part in this study. Pre‐, post‐ and follow‐up measures were collected to explore changes in levels of compassion, self‐criticism, emotion regulation, well‐being and psychological distress.FindingsStatistically significant increases were observed in levels of self‐compassion, self‐reassurance, emotion regulation skills and well‐being. Significant reductions were found in self‐criticism, anxiety and stress, and post‐study, participants became more open to receiving compassion from others.ImplicationsResults from this study are promising and suggest that using the Self‐Compassion App reduces psychological distress and enhances psychological well‐being. Considering interventions that utilise technology with the aim of boosting well‐being, levels of compassion and reducing self‐criticism are potentially important given the difficulties that many students and educators experience, and the current waitlist times for psychological help and support.Further ResearchA randomised control trial and longitudinal study would be beneficial to explore the long‐term benefits of using the app. Further studies, in clinical and non‐clinical populations, will clarify how the app might benefit people and what type of engagement is necessary to derive change.

Factors infuencing type 2 diabetes mellitus patients’ readiness, acceptance and barriers towards mobile apps adoption for medication adherence

Factors infuencing type 2 diabetes mellitus patients’ readiness, acceptance and barriers towards mobile apps adoption for medication adherence

Critical Result Notifications: What Do Providers Really Think?

Abstract Introduction/Objective Timely communication of critical test results, those that are significantly outside expected ranges and potentially life-threatening, is crucial in patient care. The Joint Commission and other regulatory bodies, such as CMS, CAP, mandate that hospitals have an alert system for reporting critical values. Traditionally, our hospital system communicates these results through phone calls to the responsible licensed provider, a system that has remained unchanged despite the rise of electronic health records. To assess the perception of this system and providers’ readiness to utilize new communication methods, we conducted a survey among healthcare professionals in our institution. Methods/Case Report We sent a survey to all providers via broadcast email. It contained 10 questions, some with free-text input, others with categorical or multiple-choice responses. The survey was open for 4 weeks with 2 reminder emails. Of 544 providers who opened the survey, 191 completed it (35.1% completion rate). The majority (84%) of respondents were physicians, with a smaller portion (15%) identifying as advanced practitioners. Results (if a Case Study enter NA) Most providers reported using multiple modes to check critical results and did not rely solely on lab notifications, though a minority (7%) depended on phone calls. Only 2 respondents used the smartphone app (EPIC Haiku) for checking results. Notably, over 67% of providers were unfamiliar with different methods of critical result notification, yet nearly 82% indicated they were open to adopting a new system. A significant proportion (more than a third) felt that phone calls distracted from patient care, suggesting that alternate methods of communication could be beneficial. Despite this, 62% of respondents found these calls useful. However, more than a third did not find the calls helpful, indicating a possible need for improved communication methods. Conclusion The survey indicates that while the current system of critical result notifications is useful to many providers, there are clear opportunities for improvement. Implementing secure, smart systems and increasing awareness of these new communication modalities may help reduce distractions and streamline critical result communication. This could also offer providers a customizable approach to receiving notifications, enhancing both patient care and workflow efficiency.

The Role of Technology Adoption in Scaling Startupreneur Business Models in the Digital Economy

Technology adoption plays a vital role in the digital business landscape, enabling startupreneurs to scale their businesses efficiently. In the era of the digital economy, adopting the right technologies can drive growth and enhance competitiveness. This study aims to understand how technology adoption contributes to the scaling of startupreneur business models. Using a mixed-methods approach, data was collected through quantitative surveys and in-depth interviews with 200 startupreneurs. The results indicate that cloud computing, e-commerce platforms, and mobile apps are the most impactful technologies, with cloud computing driving 30% business growth and 20% cost reduction. These findings highlight the importance of strategic technology adoption for startupreneurs seeking to expand their operations. The study offers practical insights into how startupreneurs can leverage digital tools for sustainable growth, and future research should explore the long-term impacts of emerging technologies like AI and blockchain.

Intervention to Improve Well-Being, Nutrition, and Physical Activity in Adults: Experimental Study.

Mindfulness improves well-being, improves emotional regulation, reduces impulses to eat, and is linked to increased physical activity. Mindfulness interventions usually focus on 1 aspect but do not offer an approach to holistically improving lifestyle. This study aims to address this gap by designing and evaluating a holistic mindfulness intervention. Committing to a 12-week intervention with 2-hour sessions without knowing whether you will enjoy it can be a hindrance for someone completely unfamiliar with mindfulness. For this reason, we decided to design a mindfulness intervention with short sessions over a reduced number of weeks. The aim is to enable novices to discover different aspects of mindfulness while at the same time offering a satisfactory practice for people who are already practicing mindfulness. We designed and evaluated a web-based mindfulness intervention in 5 sessions of 5 to 10 minutes each on well-being, diet, and physical activity to support a healthier lifestyle. The first 2 sessions focus on formal mindfulness meditation to enable novices to discover mindfulness and its main principles. Then there are 2 sessions about food. The first session about food aims to develop a sense of satisfaction with the food we eat and to focus our attention on new sensations. The second session about food aims to develop the ability to resist the lure of unhealthy foods. Finally, there is a session on physical activity. The aim is to develop a particular awareness of the body during movement, to increase satisfaction with physical activity, and to develop regular exercise. In total, 32 participants completed the intervention. After the intervention, we observed decreases in negative affect, anxiety, and emotional distress, and an increase in dispositional mindfulness. There was no effect on reported healthy eating habits and physical activity habits. Few participants repeated the exercises as recommended. The majority of our participants were new to mindfulness. The majority of our participants reported being satisfied with the different sessions. A few minor difficulties were mentioned, mainly related to the environment in which the participants carried out the sessions. Only 1 session was less satisfactory for one-third of the participants. The session on resistance to unhealthy foods was formulated too strictly and the idea of banning certain foods was a hindrance for one-third of the participants. A reformulation is needed. The mindfulness exercises were well accepted and promoted a state of mindfulness. It would be interesting to provide easier technical access to the exercises via a mobile app so that they can be repeated easily.

Marketing Strategy Proposal to Rebound the Declining Revenue of Burger King Indonesia in the Covid Aftermath Period

The primary objective of this study is to propose a marketing strategy to address the decrease in revenue experienced by Burger King Indonesia in the year 2022 following the COVID-19 pandemic as practical guidance for Burger King Indonesia and other businessmen to navigate the complexities of the current market landscape. This study is still necessary to understand that shifting consumer behavior, changes in market conditions, and business operational disruptions are the causes of the problem. The research design uses a thematic analysis method involving the available company data, relevant marketing theories, and the results of questionnaires, community surveys, and interviews with managers and customers. By analyzing the effects of the pandemic faced by Burger King Indonesia, this research aims to pinpoint strategic areas for improvement. Diverse analyses are used, such as VRIO Framework, STP, Marketing Mix, PESTEL, PORTER's Five Forces, Competitor analysis, SWOT, TOWS analysis, and author’s interview and questionnaire surveys to determine the present circumstances of Burger King Indonesia. The proposed marketing strategy highlights the importance of five specific actions in their implementation: product innovation, digital transformation, sustainability campaign, promotion via mobile app, and partnership and collaborations with delivery services to adapt to evolving consumer preferences. To address this goal, Burger King Indonesia must make strategic adjustments parallel to the present circumstances by understanding consumer preferences, optimizing operations, promoting sustainability initiatives, and strengthening its brand position. Through the implementation of this comprehensive strategy, Burger King Indonesia aims to improve customer satisfaction, foster loyalty, and attain overall market success in the post pandemic period. This strategy not only addresses the immediate challenges posed by the pandemic but also positions Burger King Indonesia for long-term success.

Progress Achieved, Landmarks, and Future Concerns in Biomedical and Health Informatics.

The biomedical and health informatics (BMHI) fields have been advancing rapidly, a trend particularly emphasised during the recent COVID-19 pandemic, introducing innovations in BMHI. Over nearly 50 years since its establishment as a scientific discipline, BMHI has encountered several challenges, such as mishaps, delays, failures, and moments of enthusiastic expectations and notable successes. This paper focuses on reviewing the progress made in the BMHI discipline, evaluating key milestones, and discussing future challenges. To, Structured, step-by-step qualitative methodology was developed and applied, centred on gathering expert opinions and analysing trends from the literature to provide a comprehensive assessment. Experts and pioneers in the BMHI field were assigned thematic tasks based on the research question, providing critical inputs for the thematic analysis. This led to the identification of five key dimensions used to present the findings in the paper: informatics in biomedicine and healthcare, health data in Informatics, nurses in informatics, education and accreditation in health informatics, and ethical, legal, social, and security issues. Each dimension is examined through recently emerging innovations, linking them directly to the future of healthcare, like the role of artificial intelligence, innovative digital health tools, the expansion of telemedicine, and the use of mobile health apps and wearable devices. The new approach of BMHI covers newly introduced clinical needs and approaches like patient-centric, remote monitoring, and precision medicine clinical approaches. These insights offer clear recommendations for improving education and developing experts to advance future innovations. Notably, this narrative review presents a body of knowledge essential for a deep understanding of the BMHI field from a human-centric perspective and, as such, could serve as a reference point for prospective analysis and innovation development.

Deep learning assisted, smartphone based universal Multi-RPA-CRISPR/Cas12a-G4 portable chip for simultaneous detection of CaMV35S and NOS

Portable and fast genetically modified organisms (GMOs) detection can achieve accurate labeling and precise regulation. Here, we build a universal and intelligent Multi-RPA-CRISPR/Cas12a-G4 detection chip platform for simultaneous CaMV35S and NOS detection. The use of multiple primer pairs for RPA enables one-tube amplification of dual targets. Independent cleavage of Cas12a for dual targets was controlled by flow amplification products into the respective detection chambers containing CaMV35S crRNA and NOS crRNA. The detection results are obtained based that uncut G4 in solution can produce peroxidase activity to catalyze ABTS2− making the negative result approaching dark green. The multi-RPA-CRISRP/Cas12a-G4 colorimetric platform achieves a 1 aM LOD for CaMV35S and NOS in 55 min. The Yolov5 deep learning algorithm and the analysis of gray values was trained and developed for colorimetric detection that is more sensitive than the naked eye. These algorithms are integrated into a smartphone app to automate the reading of test results. The 100% accuracy of colorimetry detection and the 93.3% accuracy of portable chip detection for rice and soy sauce samples demonstrate our method can rapidly and inexpensively detect samples of GMOs across species. Overall, our efficient, low-cost portable Multi-RPA-CRISPR/Cas12a-G4 detection platform coupled with deep learning algorithms enables portable GMOs detection with automated signal readout.

Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study.

Despite the existence of an increasing array of digital technologies and tools for diabetes management, there are disparities in access to and uptake and use of continuous glucose monitoring (CGM) devices, particularly for those most at risk of poor diabetes outcomes. This study aims to assess communication technology and CGM access, literacy, and use among patients receiving treatment for diabetes at an inner-city safety-net hospital. A survey on digital technology ownership and use was self-administered by 75 adults with type 1 and type 2 diabetes at the diabetes clinic of Grady Memorial Hospital in Atlanta, Georgia. In-depth interviews were conducted with 16% (12/75) of these patient participants and 6 health care providers (HCPs) to obtain additional insights into the use of communication technology and CGM to support diabetes self-management. Most participants were African American (66/75, 88%), over half (39/75, 52%) were unemployed or working part time, and 29% (22/75) had no health insurance coverage, while 61% (46/75) had federal coverage. Smartphone ownership and use were near universal; texting and email use were common (63/75, 84% in both cases). Ownership and use of tablets and computers and use and daily use of various forms of media were more prevalent among younger participants and those with type 1 diabetes, who also rated them as easier to use. Technology use specifically for diabetes and health management was low. Participants were supportive of a potential smartphone app for diabetes management, with a high interest in such an app helping them track blood sugar levels and communicate with their care teams. Younger participants showed higher levels of interest, perceived value, and self-efficacy for using an app with these capabilities. History of CGM use was reported by 56% (42/75) of the participants, although half (20/42, 48%) had discontinued use, above all due to the cost of the device and issues with its adhesive. Nonuse was primarily due to not being offered CGM by their HCP. Reasons given for continued use included convenience, improved blood glucose control, and better tracking of blood glucose. The in-depth interviews (n=18) revealed high levels of satisfaction with CGM by users and supported the survey findings regarding reasons for continued use. They also highlighted the value of CGM data to enhance communication between patients and HCPs. Smartphone ownership was near universal among patients receiving care at an inner-city hospital. Alongside the need to address barriers to CGM access and continued use, there is an opportunity to leverage increased access to communication technology in combination with CGM to improve diabetes outcomes among underresourced populations.

Understanding Privacy Risks of Intelligent Connected Vehicles Through Their Companion Mobile Apps

Understanding Privacy Risks of Intelligent Connected Vehicles Through Their Companion Mobile Apps

Opportunities for digitally-enabled personalization and decision support for pediatric growth hormone therapy.

Smart technologies and connected health are providing opportunities for improved healthcare for chronic conditions. Acceptance by healthcare professionals (HCPs) and patients is crucial for successful implementation. Evidence-based standards, technological infrastructure and regulatory processes are needed to integrate digital tools into clinical practice. Personal health records provide continuity and aid decision-making, while machine-learning algorithms may help in optimizing therapies and improving outcomes. Digital healthcare can negate geographical barriers, enabling patients in remote areas to access specialist endocrine expertise. We review available and developing digital tools to manage care for patients requiring growth hormone (GH) therapy for growth failure conditions. GH is most often administered via daily injections over several years; continuous adherence is necessary but may become insufficient. Future development and integration of electronic platforms for GH therapy requires involvement of all stakeholders in design-thinking approaches and human-factor testing. Growzen Connect is an innovative digital ecosystem designed to increase the management and monitoring of GH therapy, comprising the easypod device and connected mobile apps. It provides a real-time overview of a patient's therapy, including adherence and growth response, which aids decision-making by HCPs and empowers patients to engage in their therapy journey. Incorporating prediction models for adherence and growth in the ecosystem helps patients build treatment habits and allows issues to be addressed in a timely fashion. A connected ecosystem for GH therapy can enhance outcomes and empower patients, fostering a collaborative and patient-centered approach that is more proactive, beyond the traditional clinic-based approach.

Remote monitoring of rheumatoid arthritis (REMORA): study protocol for a stepped wedge cluster randomized trial and process evaluation of an integrated symptom tracking intervention

BackgroundManagement of rheumatoid arthritis (RA) relies on symptoms reported by patients during infrequent outpatient clinic visits. These reports are often incomplete and inaccurate due to poor recall, leading to suboptimal treatment decisions and outcomes. Asking people to track symptoms in-between visits and integrating the data into clinical pathways may improve this. However, knowledge on how to implement this into practice and its impact on services and outcomes remains scarce in RA. Therefore, we evaluate the comparative effectiveness and cost-effectiveness of integrated symptom tracking in people with RA over and above usual care, while generating insights on factors for successful implementation.MethodsIn this superiority stepped wedge cluster-randomized controlled trial with continuous recruitment short exposure design, 16 rheumatology outpatient departments (clusters) recruit a total of 732 people with active RA. They initially offer clinic visits according to standard of care before switching in pairs to visits with integrated symptom tracking. Clusters switch in randomized order every 3 weeks. Integrated symptom tracking consists of (1) a mobile app for patients to track their symptoms daily and other RA aspects weekly/monthly, and (2) an interactive dashboard visualizing the app data, which healthcare professionals access from their electronic health record system. Clinic visits happen according to usual practice, with tracked symptom data only reviewed during visits. Our primary outcome is a difference in marginal mean disease activity score at 12 ± 3 months between standard of care and integrated symptom tracking, after accounting for baseline values, cluster, and other covariates. Secondary outcomes include patient-reported disease activity, quality of life and quality-adjusted life-years, medication/resource use, consultation and decision-making experience, self-management, and illness perception. We also conduct interviews and observations as part of a parallel process evaluation to gather information on implementation.DiscussionOur trial will generate high-quality evidence of comparative and cost-effectiveness of integrated symptom tracking compared to standard of care in people with RA, with our process evaluation delivering knowledge on successful implementation. This optimizes the chances of integrated symptom tracking being adopted more widely if we find it is (cost-) effective.Trial registrationRegistered 4-Jun-2024 on https://www.isrctn.com/, ISRCTN51539448.Trial open science framework repositoryhttps://osf.io/sj9ha/.

Self-Management Systems for Patients and Clinicians in Parkinson's Disease Care: A Scoping Review.

Digital self-management tools including mobile apps and wearables can enhance personalized care in Parkinson's disease, and incorporating patient and clinician feedback into their evaluation can empower users and nurture patient-clinician relationships, necessitating a review to assess the state of the art and refine their use. This review aimed to summarize the state of the art of self-management systems used in Parkinson's disease management, detailing the application of self-management techniques and the integration of clinicians. It also aimed to provide a concise synthesis on the acceptance and usability of these systems from the clinicians' standpoint, reflecting both patient engagement and clinician experience. The review was organized following the PRISMA extension for Scoping Reviews and PICOS frameworks. Studies were retrieved from PubMed, CINAHL, Scopus, ACM Digital Library, and IEEE Xplore. Data was collected using a predefined form and then analyzed descriptively. Of the 15,231 studies retrieved, 33 were included. Five technology types were identified, with systems combining technologies being the most evaluated. Common self-management strategies included educational material and symptom journals. Only 11 studies gathered data from clinicians or reported evidence of clinician integration; out of those, six studies point out the importance of raw data availability, data visualization, and integrated data summaries. While self-management systems for Parkinson's disease are well-received by patients, the studies underscore the urgency for more research into their usability for clinicians and integration into daily medical workflows to enhance overall care quality.

대학생의 학습양식 기반 학습전략 향상 모바일 앱 프로토타입 개발

Objectives This study aimed to develop a prototype of a mobile application to support the improvement of learning strategies for college students based on their learning styles. Methods With reference to a literature review of learning strategies and styles, strategies were extracted to inform the design of a mobile application aimed at supporting the use of learning strategies based on learning styles. Experts validated the extracted strategies, and the prototype was initially developed accordingly. A usability test was performed with students from University A, and based on the test results, the initial prototype was revised until an evolved version was finalized and presented. Results The strategies were extracted and divided into groups considering such factors as the characteristics of college student users, the connection between learning strategies and academic performance, and the characteristics of mobile applications, respectively. Expert validation of the design strategies indicated that both CVI and IRA were 1.00, securing validity and reliability. The mobile app prototype developed based on the extracted strategies featured menus such as learning style diagnosis, learning strategy recommendation, learning strategy application, learning management, sharing for collaborative learning, and gamification for facilitating learning. The usability test results for the prototype showed that the mean values for all items were 4.25 or higher, signifying positive results. Conclusions The significance of the mobile app prototype presented in this paper lies in its consideration of users’ learning styles, which are among the relevant user characteristics, to recommend appropriate learning strategies and support users as they apply those learning strategies in reality. The study results indicate that utilizing learning styles and gamification could positively influence college students by motivating them to enhance their understanding of learning strategies while also improving their ability to utilize those learning strategies.

The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review.

Supporting and understanding the health of patients with chronic diseases and cardiovascular disease (CVD) risk is often a major challenge. Health data are often used in providing feedback to patients, and visualization plays an important role in facilitating the interpretation and understanding of data and, thus, influencing patients' behavior. Visual analytics enable efficient analysis and understanding of large datasets in real time. Digital health technologies can promote healthy lifestyle choices and assist in estimating CVD risk. This review aims to present the most-used visualization techniques to estimate CVD risk. In this scoping review, we followed the Joanna Briggs Institute PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The search strategy involved searching databases, including PubMed, CINAHL Ultimate, MEDLINE, and Web of Science, and gray literature from Google Scholar. This review included English-language articles on digital health, mobile health, mobile apps, images, charts, and decision support systems for estimating CVD risk, as well as empirical studies, excluding irrelevant studies and commentaries, editorials, and systematic reviews. We found 774 articles and screened them against the inclusion and exclusion criteria. The final scoping review included 17 studies that used different methodologies, including descriptive, quantitative, and population-based studies. Some prognostic models, such as the Framingham Risk Profile, World Health Organization and International Society of Hypertension risk prediction charts, Cardiovascular Risk Score, and a simplified Persian atherosclerotic CVD risk stratification, were simpler and did not require laboratory tests, whereas others, including the Joint British Societies recommendations on the prevention of CVD, Systematic Coronary Risk Evaluation, and Framingham-Registre Gironí del COR, were more complex and required laboratory testing-related results. The most frequently used prognostic risk factors were age, sex, and blood pressure (16/17, 94% of the studies); smoking status (14/17, 82%); diabetes status (11/17, 65%); family history (10/17, 59%); high-density lipoprotein and total cholesterol (9/17, 53%); and triglycerides and low-density lipoprotein cholesterol (6/17, 35%). The most frequently used visualization techniques in the studies were visual cues (10/17, 59%), followed by bar charts (5/17, 29%) and graphs (4/17, 24%). On the basis of the scoping review, we found that visualization is very rarely included in the prognostic models themselves even though technology-based interventions improve health care worker performance, knowledge, motivation, and compliance by integrating machine learning and visual analytics into applications to identify and respond to estimation of CVD risk. Visualization aids in understanding risk factors and disease outcomes, improving bioinformatics and biomedicine. However, evidence on mobile health's effectiveness in improving CVD outcomes is limited.