Management Mobile App Research Articles

DEVELOPMENT OF FIELD WORK PRACTICE MANAGEMENT IN INFORMATICS INTEGRATED SERVICE SYSTEM

Field work practice is crucial for aligning college education with workplace skills, but manual management poses challenges such as time-consuming processes and limited information access, particularly within the Informatics Program at Mulawarman University. This research explores integrating field work practice with mobile technology through Rapid Application Development, resulting in a comprehensive field work practice management mobile app. Data collected from direct observation and student questionnaires inform the app's development. The app covers various field work practice aspects, facilitating efficient student engagement, and Black Box testing confirms its functionality without errors. This research significantly contributes to field work practice management, offering stakeholders an efficient, transparent, and well-integrated solution for field work practice implementation in academic settings, ultimately aiming to enhance convenience and accelerate the field work practice process for all involved parties.

Nurse-led proactive mobile application in symptom management for children with medical complexity: Study protocol for a randomized controlled trial.

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. A single-blinded, randomized controlled trial with a two-armed repeated measures design. 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. 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. 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. NCT05765643 (ClinicalTrials.gov identifier). Parents of children with medical complexity contributed in mobile application development by giving comments on the usability of mobile application. 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.

Performance of a trained large language model to provide clinical trial recommendation in a head and neck cancer population.

11081 Background: Chatbots based on large language model (LLM) have demonstrated ability to answer oncology exam questions; however, leveraging LLM in medical-decision support have not yet demonstrated suitable performance in oncology practice. We evaluated the performance of a trained a LLM, GPT-4, to recommend appropriate clinical trials for a head & neck (HN) cancer population. Methods: In 2022, we developed an artificial intelligence powered clinical trial management mobile app, LookUpTrials, and demonstrated promising user engagement among oncologists. Using LookUpTrials database, we applied direct preference optimization to train GPT-4 as an in-app assistant to LookUpTrials. From Nov 7 to Dec 19, 2023, we collected consecutive, new patient cases and their respective clinical trial recommendations from oncologists in the HN medical oncology service at Memorial Sloan Kettering Cancer Center. Cases were categorized by diagnosis, cancer stage, treatment setting, and physician recommendation on clinical trials. Trained GPT-4 is prompted using a semi-structured template: “Given patient with a <diagnosis>, <cancer stage>, <treatment setting>, what are possible clinical trials?” Physician recommendations were compared with trained GPT-4 responses. We analyzed the performance of GPT-4 based on its response precision (positive predictive value), recall (sensitivity), and F1 score (harmonic mean of precision and recall). Results: We analyzed 178 patient cases, mean age 65.6 (SD 13.9), primarily male (75%) with local/locally advanced (68%) HN (61%), thyroid (16%), skin (9%), or salivary (8%) cancers. Majority were treated in the definitive setting with combined modality therapy (42%) and modest proportion were treated under clinical trials (10%). Overall, trained GPT-4 achieved a moderate performance matching physician clinical trial recommendations with 63% precision and 100% recall (F1 score 0.77), narrowing a total list of 56 HN clinical trials to a range of 0-4 relevant trials per patient case (mean 1, SD 1.2). Comparatively, performance of our trained GPT-4 exceeded historic performance of untrained LLMs to provide oncology treatment recommendation by 4-20 folds (F1 score 0.04 - 0.19). Conclusions: This proof-of-concept study demonstrated that trained LLM can achieve moderate performance in matching physician clinical trial recommendation in HN oncology. Our results suggest the potential of embedding trained LLM into oncology workflow to aid clinical trial search and accelerate clinical trial accrual. Future research is needed to optimize precision of trained LLM and to assess whether trained LLM may be a scalable solution to enhance the diversity and equity of clinical trial participation.

The Effects of Augmented Reality Companion on User Engagement in Energy Management Mobile App

As the impact of global warming on climate change becomes noticeable, the importance of energy efficiency for reducing greenhouse gas emissions grows immense. To this end, a platform, solution, and mobile apps are developed as part of the European Union’s Horizon 2020 research and innovation program to support energy optimization in residences. However, to ensure long-term energy optimization, it is crucial to keep users engaged with the apps. Since augmented reality (AR) and a virtual animal companion positively influenced user engagement, we designed an AR companion that represented the user’s residence states; thereby making the user aware of indoor information. We conducted user evaluations to determine the effect of the AR companion on user engagement and perceived usability in the context of energy management. We identified that the user interface (UI) with AR (ARUI) barely affected user engagement and perceived usability compared to the traditional UI without AR (TUI); however, we found that the ARUI positively affected one of the user engagement aspects. Our results show AR companion integration’s potential benefits and effects on energy management mobile apps. Furthermore, our findings provide insights into UI design elements for developers considering multiple interaction modalities with AR.

Mobile Apps for Common Noncommunicable Disease Management: Systematic Search in App Stores and Evaluation Using the Mobile App Rating Scale.

The success of mobile apps in improving the lifestyle of patients with noncommunicable diseases through self-management interventions is contingent upon the emerging growth in this field. While users of mobile health (mHealth) apps continue to grow in number, little is known about the quality of available apps that provide self-management for common noncommunicable diseases such as diabetes, hypertension, and obesity. We aimed to investigate the availability, characteristics, and quality of mHealth apps for common noncommunicable disease health management that included dietary aspects (based on the developer's description), as well as their features for promoting health outcomes and self-monitoring. A systematic search of English-language apps on the Google Play Store (Google LLC) and Apple App Store (Apple Inc) was conducted between August 7, 2022, and September 13, 2022. The search terms used included weight management, obesity, diabetes, hypertension, cardiovascular diseases, stroke, and diet. The selected mHealth apps' titles and content were screened based on the description that was provided. Apps that were not designed with self-management features were excluded. We analyzed the mHealth apps by category and whether they involved health care professionals, were based on scientific testing, and had self-monitoring features. A validated and multidimensional tool, the Mobile App Rating Scale (MARS), was used to evaluate each mHealth app's quality based on a 5-point Likert scale from 1 (inadequate) to 5 (excellent). Overall, 42 apps were identified. Diabetes-specific mHealth apps accounted for 7% (n=3) of the market, hypertension apps for 12% (n=5), and general noncommunicable disease management apps for 21% (n=9). About 38% (n=16) of the apps were for managing chronic diseases, while 74% (n=31) were for weight management. Self-management features such as weight tracking, BMI calculators, diet tracking, and fluid intake tracking were seen in 86% (n=36) of the apps. Most mHealth apps (n=37, 88%) did not indicate whether there was involvement of health professionals in app development. Additionally, none of the apps reported scientific evidence demonstrating their efficacy in managing health. The overall mean MARS score was 3.2 of 5, with a range of 2.0 to 4.1. Functionality was the best-rated category (mean score 3.9, SD 0.5), followed by aesthetics (mean score 3.2, SD 0.9), information (mean score 3.1, SD 0.7), and engagement (mean score 2.9, SD 0.6). The quality of mHealth apps for managing chronic diseases was heterogeneous, with roughly half of them falling short of acceptable standards for both quality and content. The majority of apps contained scant information about scientific evidence and the developer's history. To increase user confidence and accomplish desired health outcomes, mHealth apps should be optimized with the help of health care professionals. Future studies on mHealth content analysis should focus on other diseases as well.

Improving Usability in Mobile Apps for Residential Energy Management: A Hybrid Approach Using Fuzzy Logic

This paper presents a study that evaluates the usability and user experience of a mobile application interface for residential energy management, adopting a hybrid approach that integrates quantitative and qualitative methods within a user-centered design framework. For the evaluation, metrics and tools such as the User Experience Questionnaire Short (UEQ-S) and the System Usability Scale (SUS) were used, in addition to the implementation of a fuzzy logic model to interpret and contrast the data obtained through these metrics, allowing a more accurate assessment of usability and user experience, reflecting the variability and trends in the responses. Three aspects evaluated stand out: satisfaction with the interface, ease of use, and efficiency. These are fundamental to understanding how users perceive the system. The results indicate a high likelihood of user recommendation of the system and a high overall quality of user experience. This study significantly contributes to mobile application usability, especially in residential energy management, offering valuable insights for designing more intuitive and effective user interfaces on mobile devices.

Disaster Guard for Disaster Management

The "Disaster Guard" project presents a comprehensive disaster management mobile app designed to empower individuals and communities in navigating the challenges of disaster preparedness, response, and recovery. With a focus on fostering resilience, the app integrates cutting-edge features, including real-time disaster alerts, location-based services, and a user-friendly emergency services directory. The inclusion of SOS and distress signaling, coupled with two-way communication channels, ensures swift assistance during critical moments. Leveraging data prediction and early warning systems, the platform enables proactive planning, enhancing the overall preparedness for potential disasters.

Promoting Stress Management among Students in Higher Education: Evaluating the Effectiveness of a Persuasive Time Management Mobile App

In recent years, there has been a notable rise in the development of mobile apps to deliver stress management interventions. However, the prevailing design of most available stress management apps leans towards an emotion-focused coping approach, primarily targeting the regulation of stress-induced negative emotions. Given that the perception of time shortage is a major source of stress among students in higher education, we adopted a problem-focused coping approach that targets tackling student stress via time management. Our work evolved through four main phases. First, we previously conducted a large-scale study involving 502 students, constructing five structural equation models (SEMs) to pinpoint the most effective time management factor in promoting the perception of control over time. Second, based on the findings, we designed and developed a persuasive mobile app (SortOut) to promote effective time management behavior among the target users. Before the development phase, the initial app prototype was evaluated and refined with students (n = 69). In the final phase, this paper focuses on the culmination of our work, wherein we assessed the app’s effectiveness through a 4-week field study involving 34 students. Subsequently, we conducted one-on-one interviews with 11 students to delve into their experiences and feedback. The results revealed that, after using the app, students demonstrated improvement in time management behavior, higher academic self-confidence, and lower stress compared to the baseline. Students in the early and later stages of behavior change (based on the Transtheoretical Model (TTM)) reported similar positive outcomes. Moreover, students perceived the app as straightforward and easy to use; they were not tense or pressured while using the app, which is especially vital for stress management interventions. Thematic analysis showed that the app encouraged organizational thought and behavior and aided students in managing their time and workload, increasing the commitment toward task completion. The study findings suggest that the app helped students engage in effective time management behavior with an improved perception of control over time. Such improved perception is instrumental in promoting student confidence and well-being. Guided by the study findings, we provided actionable design recommendations and future research directions to facilitate the development of impactful persuasive time and stress management interventions.

The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques.

Many smartphone apps designed to assist individuals in managing their weight are accessible, but the assessment of app quality and features has predominantly taken place in Western countries. Nevertheless, there is a scarcity of research evaluating weight management apps in China, which highlights the need for further investigation in this area. This study aims to conduct a comprehensive search for the most popular commercial Chinese smartphone apps focused on weight management and assess their quality, behavior change techniques (BCTs), and content-related features using appropriate evaluation scales. Additionally, the study sought to investigate the associations between the quality of various domains within weight management apps and the number of incorporated BCTs and app features. In April 2023, data on weight management apps from the iOS and Android app stores were downloaded from the Qimai Data platform. Subsequently, a total of 35 weight management apps were subjected to screening and analysis by 2 researchers. The features and quality of the apps were independently assessed by 6 professionals specializing in nutrition management and health behavioral change using the Mobile Application Rating Scale (MARS). Two registered dietitians, who had experience in app development and coding BCTs, applied the established 26-item BCT taxonomy to verify the presence of BCTs. Mean (SD) scores and their distributions were calculated for each section and item. Spearman correlations were used to assess the relationship between an app's quality and its technical features, as well as the number of incorporated BCTs. The data set included a total of 35 apps, with 8 available in the Android Store, 10 in the Apple Store, and 17 in both. The overall quality, with a mean MARS score of 3.44 (SD 0.44), showed that functionality was the highest scoring domain (mean 4.18, SD 0.37), followed by aesthetics (mean 3.43, SD 0.42), engagement (mean 3.26, SD 0.64), and information (mean 2.91, SD 0.52), which had the lowest score. The mean number of BCTs in the analyzed apps was 9.17 (range 2-18 BCTs/app). The most common BCTs were "prompt review of behavioral goals" and "provide instruction," present in 31 apps (89%). This was followed by "prompt self-monitoring of behavior" in 30 apps (86%), "prompt specific goal setting" in 29 apps (83%), and "provide feedback on performance" in 27 apps (77%). The most prevalent features in the analyzed apps were the need for web access (35/35, 100%), monitoring/tracking (30/35, 86%), goal setting (29/35, 83%), and sending alerts (28/35, 80%). The study also revealed strong positive correlations among the number of BCTs incorporated, app quality, and app features. This suggests that apps with a higher number of BCTs tend to have better overall quality and more features. The study found that the overall quality of weight management apps in China is moderate, with a particular weakness in the quality of information provided. The most prevalent BCTs in these apps were reviewing behavioral goals, providing guidance, self-monitoring of behavior, goal setting, and offering performance feedback. The most common features were the need for web access, monitoring and tracking, goal setting, and sending alerts. Notably, higher-quality weight management apps in China tended to incorporate more BCTs and features. These findings can be valuable for developers looking to improve weight management apps and enhance their potential to drive behavioral change in weight management.

Assessing the Usefulness of Mobile Apps for Noise Management in Occupational Health and Safety: Quantitative Measurement and Expert Elicitation Study.

Overexposure to occupational noise can lead to hearing loss. Occupational noise mapping is conventionally performed with a calibrated sound level meter (SLM). With the rise of mobile apps, there is a growing number of SLM apps available on mobile phones. However, few studies have evaluated such apps for accuracy and usefulness to guide those with occupational noise detection needs in selecting a quality app. The purpose of this study was to evaluate the accuracy and usefulness of SLM mobile apps to guide workplace health and safety professionals in determining these apps' suitability for assessing occupational noise exposure. The following three iOS apps were assessed: the NIOSH (National Institute for Occupational Safety and Health) Sound Level Meter, Decibel X, and SoundMeter X apps. The selected apps were evaluated for their accuracy in measuring sound levels in low-, moderate-, and high-noise settings within both simulated environments and real-world environments by comparing them to a conventional SLM. The usefulness of the apps was then assessed by occupational health specialists using the Mobile App Rating Scale (MARS). The NIOSH Sound Level Meter app accurately measured noise across a range of sound levels in both simulated settings and real-world settings. However, considerable variation was observed between readings. In comparison, the Decibel X and SoundMeter X apps showed more consistent readings but consistently underestimated noise levels, suggesting that they may pose a risk for workers. Nevertheless, none of the differences in sound measurements between the three apps and the conventional SLM were statistically significant (NIOSH Sound Level Meter: P=.78; Decibel X: P=.38; SoundMeter X: P=.40). The MARS scores for the three apps were all above 3.0, indicating the usefulness of these apps. Under the conditions of this study, the NIOSH Sound Level Meter app had equivalent accuracy to the calibrated SLM and a degree of usefulness according to the MARS. This suggests that the NIOSH Sound Level Meter app may be suitable for mapping noise levels as part of a monitoring strategy in workplaces. However, it is important to understand its limitations. Mobile apps should complement but not replace conventional SLMs when trying to assess occupational noise exposure risk. Our outcomes also suggest that the MARS tool may have limited applicability to measurement-based apps and may be more suited to information-based apps that collect, record, and store information.

Pharmacological analysis and remote monitoring of a patient with skin ulcers caused by anticoagulation

A woman in her 76 s has valvular heart disease, atrial fibrillation, and myelodysplastic syndrome. Warfarin bridged with low molecular weight heparin (LMWH), was treated for anticoagulation therapy in this patient. Five days later, The patient informed the anticoagulant management personnel from the APP of abnormal coagulation, thrombocytopenia, and ulcers, as well as pain in the left forearm pinhole, by Atrial fibrillation management mobile app software “Guidance on alfalfa anticoagulation”. Following the diagnosis of warfarin-induced skin ulceration, the patient received intravenous vitamin K and fresh frozen plasma (FFP) to reverse the effects of warfarin. After 3 days of effective treatment, the patient 's forearm ulceration improved and healed soon. This case highlights the importance of telemedicine in patients with anticoagulant therapy. And warfarin should be used with caution in patients with HIT, HIT antibodies detection should be requested in patients presenting withthrombocytopenia after using of heparin. We suggest that medical staff should provide the remote medical and remote drug monitoring for patients with chronic diseases and those taking high-risk drugs.

Patients' Individualized Care Perceptions and Health Literacy Using an Interactive App During Breast and Prostate Cancer Treatment: Two Parallel Randomized Controlled Trials.

The use of symptom management mobile apps can reduce patients' symptom burden during cancer treatment, but the evidence is lacking about their effect on care. Moreover, if patients' health literacy can be improved, it needs to be more rigorously tested. This study aimed to evaluate patients' perceptions of individualized care and health literacy using an interactive app in two randomized trials. Patients undergoing neoadjuvant chemotherapy for breast cancer (N = 149) and radiotherapy for prostate cancer (N = 150) were consecutively included and randomized into one intervention or control group. Outcome measures were Individualized Care Scale, Swedish Functional Health Literacy Scale, and Swedish Communicative and Critical Health Literacy Scale. In the breast cancer trial, no group differences were observed regarding individualized care or health literacy. Most patients had sufficient health literacy levels. In the prostate cancer trial, intervention group patients rated higher perceived individualized care regarding decision control at follow-up than the control group. Less than half had sufficient health literacy levels and intervention group patients significantly improved their ability to seek, understand, and communicate health information. Education level explained significant variance in health literacy in both trials. Using an interactive app can positively affect individualization in care and health literacy skills among patients treated for prostate cancer, although further research is warranted.

Implementing The “P3KU Mertion” Mobile App In Improving The Senior and Rover Scout’s Disaster Preparedness

Indonesia’s geographical area which is vulnerable to various kinds of disasters remains a major concern. Given the extent of the dangers, disaster management is a critical issue that goes beyond the scope of single entities or institutions, requiring a comprehensive and inclusive approach including all sectors of society. Unfortunately, present disaster management systems are mostly focused on engagement from designated agencies, and there needs to be more active community involvement in emergency disaster response. This study aims to investigate the impact of disaster response training on the disaster preparation levels of the Senior and Rover scouts in the Special Region of Yogyakarta, Indonesia. This study used a quasi-experimental approach with pre and post-training assessments without a control group. A total of 25 scouts participated in disaster response training, and their disaster readiness was evaluated both before and after the program. A disaster preparation questionnaire, a disaster response module, and a Simple Emergency Management (SEM) mobile app called “P3KU Mertion” were utilized in this study. The non-parametric Wilcoxon Signed-Rank Test was used to evaluate the data. The study findings showed that disaster response training significantly impacted disaster readiness, with the Wilcoxon Signed-Rank Test providing a p-value of 0.000 (p 0.05), indicating statistical significance. These findings have the potential to serve as an innovative model for disaster response programs targeted at improving catastrophe preparedness. The study emphasizes the importance of active involevement and community engagement in disaster response programs to supplement the work of authorized organizations and institutions, establishing an all-inclusive approach to disaster management in Indonesia.

Pengabdian Masyarakat Membuat Aplikasi Iuran Keuangan

Along with the rapid development of the times, in all sectors of course it is necessary to follow these developments in order to achieve mutual comfort and safety. The Housing Complex also does not escape to be able to keep up with the times. Every housing estate certainly has activities to collect dues to be able to manage their living environment in a clean, safe and comfortable condition. The financial management of contributions carried out still applies a manual system, so that there is a human error between financial records and the actual evidence is not the same. In addition, with a manual system like this, misunderstandings can arise and the truth is quite difficult to prove due to manual recording. Using the Rapid Application Development method to design a financial management mobile app that has an incremental nature with the intention that the processing time can be done in a short time but still optimally. The data needed will be integrated using Firebase which has a real-time nature so that records can be recorded automatically and existing data is always updated according to existing events. Application design using the JavaScript programming language in the Visual Studio program and integrated with Firebase as a place to process data. Based on testing the system has been designed and can be used properly

Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field

To address the current pandemic, multiple studies have focused on the development of new mHealth apps to help in curbing the number of infections, these applications aim to accelerate the identification and self-isolation of people exposed to SARS-CoV-2, the coronavirus known to cause COVID-19, by being in close contact with infected individuals. The main objectives of this paper are: (1) Analyze the current status of COVID-19 apps available on the main virtual stores: Google Play Store and App Store for Spain, and (2) Propose a novel mobile application that allows interaction and doctor-patient follow-up without the need for real-time consultations (face-to-face or telephone). In this research, a search for eHealth and telemedicine apps related to Covid-19 was performed in the main online stores: Google Play Store and App Store, until May 2021. Keywords were entered into the search engines of the online stores and relevant apps were selected for study using a PRISMA methodology. For the design and implementation of the proposed app named COVINFO, the main weaknesses of the apps studied were taken into account in order to propose a novel and useful app for healthcare systems. The search yielded a total of 50 apps, of which 24 were relevant to this study, of which 23 are free and 54% are available for Android and iOS operating systems (OS). The proposed app has been developed for mobile devices with Android OS being compatible with Android 4.4 and higher. This app enables doctor-patient interaction and constant monitoring of the patient's progress without the need for calls, chats or face-to-face consultation in real time. This work addresses design and development of an application for the transmission of the user's symptoms to his regular doctor, based on the fact that only 16.6% of existing applications have this functionality. The COVINFO app offers a novel service: asynchronous doctor-patient communication, as well as constant monitoring of the patient’s condition and evolution. This app makes it possible to better manage the time of healthcare personnel and avoid overcrowding in hospitals, with the aim of preventing the collapse of healthcare systems and the spread of the coronavirus.

Exploring Saudi Individuals' Perspectives and Needs to Design a Hypertension Management Mobile Technology Solution: Qualitative Study.

Hypertension is a chronic condition caused by a poor lifestyle that affects patients’ lives. Adherence to self-management programs increases hypertension self-monitoring, and allows greater prevention and disease management. Patient compliance with hypertension self-management is low in general; therefore, mobile health applications (mHealth-Apps) are becoming a daily necessity and provide opportunities to improve the prevention and treatment of chronic diseases, including hypertension. This research aims to explore Saudi individuals’ perspectives and needs regarding designing a hypertension management mobile app to be used by hypertension patients to better manage their illnesses. Semi-structured interviews were conducted with 21 Saudi participants to explore their perspectives and views about the needs and requirements in designing a hypertension mobile technology solution, as well as usability and culture in the Saudi context. The study used NVivo to analyze data and divided the themes into four main themes: the app’s perceived health benefits, features and usability, suggestions for the app’s content, and security and privacy. The results showed that there are many suggestions for improvements in mobile health apps that developers should take into consideration when designing apps. The mobile health apps should include physical activity tracking, related diet information, and reminders, which are promising, and could increase adherence to healthy lifestyles and consequently improve the self-management of hypertension patients. Mobile health apps provide opportunities to improve hypertension patients’ self-management and self-monitoring. However, this study asserts that mobile health apps should not share users’ data, and that adequate privacy disclosures should be implemented.

The Effectiveness of Mobile Apps for Monitoring and Management of Suicide Crisis: A Systematic Review of the Literature.

Suicide risk is a multifaceted phenomenon, and many risk factors are involved in its complexity. In the last few decades, mental health apps have spread, providing economic and affordable strategies to prevent suicide. Therefore, the aim of this review is to identify original studies on mobile apps that target suicidal crises. The review follows PRISMA guidelines, searching through four major electronic databases (PubMed/MEDLINE, Scopus, PsycInfo and Web of Science) for relevant titles/abstracts published from January 2010 to May 2022. It includes original studies that explicitly analyze mobile apps for suicide prevention. A total of 32 studies met the inclusion criteria. Sixteen studies assessed the feasibility and acceptability of mobile apps, ten studies assessed the efficacy of mobile apps in preventing suicide, and six studies described randomized control trial protocols not yet implemented. Generally, the apps were judged by participants to be acceptable and helpful, and several improvements to enhance the functionality of apps were suggested. The efficacy of mobile apps, although limited and assessed with very heterogenous methods, was confirmed by most of the studies. Mobile apps could represent a helpful supplement to traditional prevention tactics, providing real-time monitoring of at-risk persons, personalized tools to cope with suicidal crises, and immediate access to specific support.

Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study.

BackgroundMobile apps have been shown to play an important role in the management, care, and prevention of infectious diseases. Thus, skills for self-care—one of the most effective ways to prevent illness—can be improved through mobile health apps.ObjectiveThis study aimed to design, develop, and evaluate an educational mobile-based self-care app in order to help the self-prevention of COVID-19 in underdeveloped countries. We intended the app to be easy to use, quick, and inexpensive.MethodsIn 2020 and 2021, we conducted a methodological study. Using the ADDIE (analysis, design, development, implementation, and evaluation) educational model, we developed a self-care management mobile app. According to the ADDIE model, an effective training and performance support tool is built through the 5 phases that comprise its name. There were 27 participants who conducted 2 evaluations of the mobile app’s usability and impact using the mobile health app usability and self-care inventory scales. The study design included pre- and posttesting.ResultsAn Android app called MyShield was developed. The results of pre- and posttests showed that on a scale from 0 to 5, MyShield scored a performance average of 4.17 in the physical health dimension and an average of 3.88 in the mental well-being dimension, thereby showing positive effects on self-care skills. MyShield scored highly on the “interface and satisfaction,” “ease of use,” and “usefulness” components.ConclusionsMyShield facilitates learning self-care skills at home, even during quarantine, increasing acquisition of information. Given its low development cost and the ADDIE educational design on which it is based, the app can be helpful in underdeveloped countries. Thus, low-income countries—often lacking other tools—can use the app as an effective tool for fighting COVID-19, if it becomes a standard mobile app recommended by the government.

LIGHTHOUSE MAINTENANCE MANAGEMENT MOBILE APPS SYSTEM

Lighthouse is a tower with a strong light which gives navigators a continuous signal. There are about six lighthouses under the responsibility of the Central Region Marine Department of Malaysia. These lighthouses experienced severe construction defects and internal defects. Predictive maintenance, therefore, is performed manually to preserve the lighthouses. Lighthouse Maintenance Management Mobile Apps System (LMMS) is an Android mobile application developed for the Assistant Engineer, Technician, Marine Officer and Division Head of the Central Region Marine Department of Malaysia, responsible for the maintenance of lighthouses. Currently, the Central Region’s Marine Department of Malaysia lacks a computerised maintenance management system for the lighthouses, especially to manage maintenance schedules, work orders and maintenance-related records. In addition, the technician still uses a manual guide for troubleshooting tools and spare parts. Thus, LMMS was developed to solve these problems as a fully functioning mobile application by designing and developing a system for lighthouse maintenance management according to user needs. The methodology used to develop this mobile application is agile. The LMMS provides complete features for scheduling maintenance, orders for maintenance work, records related to maintenance, a list of tools and spare parts, and management of lighthouse information. The result shows that LMMS contributes to ease of use by using the mobile platform, quick and simple modules, systematic storage of historical records, efficient workload distribution, rapid reporting, updated list of tools and spare parts, and providing the latest information on the lighthouses. Deploying LMMS helps the Central Region Marine Department of Malaysia manage and maintain the lighthouses more effectively.

Innovation in the Treatment of Persistent Pain in Adults With NF1: Implementation of the iCanCope Mobile App

Background Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic condition affecting 1 in 2500 individuals. Over 50% of individuals with NF1 report significant pain and discomfort, which may be associated with benign and malignant tumors, but is often not localized to a structural lesion, thus presenting treatment challenges for patients and their medical caregivers. To date, there are very few treatments aside from surgical intervention to mitigate pain. Objective We developed the iCanCope-NF mobile app for pain self-management. iCanCope-NF is a customized self-monitoring and pain management mobile app designed to provide resources and support for those having chronic pain due to NF1. The app enables users to access daily pain monitoring and quality of life check-ins, allows them to plot interrelated variables on various timelines to observe trends in pain and interference across different areas of life (such as sleep, physical activity, and mood), and provides them with the option to set physiological and psychological goals as well as a robust library of written and video resources to help manage pain symptoms and to better cope with NF1. Methods This paper evaluated the iCanCope-NF to reduce pain severity and interference in adults with NF1. A total of 80 participants across 3 different groups (control, iCanCope-NF access condition, and iCanCope-NF contingency management condition where subjects were provided monetary incentives for engaging with the various features within the app [CM]) completed a randomized clinical trial in which evaluations were completed at intake (initial day of participation), discharge (2 months after intake), and 6 weeks after discharge. Results Preliminary data analysis demonstrated individuals randomized to the iCanCope-NF + CM had greater engagement with the mobile app than individuals who were randomized to iCanCope-NF. Additionally, individuals in the iCanCope-NF + CM consistently checked in more (SD 59.5/60 days) than individuals in the iCanCope-NF group (SD 51/60 days). Pain interference, as measured by the Pain Interference Index (PII), was significantly different across all 3 groups at discharge: control (M=6.3), iCanCope (M=5.7), iCanCope + CM (M=5.1), P<.05. Conclusions Qualitative interviews completed at discharge for individuals with access to the app indicated that the app was a “wonderful measuring tool” and “provided credibility of my pain symptoms,” and that it was a dramatic and distinctive aide in the monitoring and tracking of their pain symptoms. We demonstrated preliminary acceptability and efficacy for iCanCope-NF as the first pain self-management tool for individuals with NF1. iCanCope-NF + CM was successful in increasing engagement and decreasing pain interference. Trial Registration ClinicalTrials.gov NCT04561765; https://clinicaltrials.gov/ct2/show/NCT04561765 Conflicts of Interest None declared.