Efficacy of Save Medical Corporation (SMC)-01, a Smartphone App Designed to Support Type 2 Diabetes Self-Management Based on Established Guidelines: Randomized Controlled Trial.

BACKGROUND: Lifestyle modifications are a key part of type 2 diabetes mellitus treatment. Many patients find long-term self-management difficult, and mobile apps could be a solution. In 2010, in the United States, a mobile app was approved as an official medical device. Similar apps have entered the Japanese market but are yet to be classified as medical devices. OBJECTIVE: The objective of this study was to determine the efficacy of Save Medical Corporation (SMC)-01, a mobile app for the support of lifestyle modifications among Japanese patients with type 2 diabetes mellitus. METHODS: This was a 24-week multi-institutional, prospective randomized controlled trial. The intervention group received SMC-01, an app with functions allowing patients to record data and receive personalized feedback to encourage a healthier lifestyle. The control group used paper journals for diabetes self-management. The primary outcome was the between-group difference in change in hemoglobin A1c from baseline to week 12. RESULTS: The change in hemoglobin A1c from baseline to week 12 was -0.05% (95% CI -0.14% to 0.04%) in the intervention group and 0.06% (95% CI -0.04% to 0.15%) in the control group. The between-group difference in change was -0.11% (95% CI -0.24% to 0.03%; P=.11). CONCLUSIONS: There was no statistically significant change in glycemic control. The lack of change could be due to SMC-01 insufficiently inducing behavior change, absence of screening for patients who have high intention to change their lifestyle, low effective usage of SMC-01 due to design issues, or problems with the SMC-01 intervention. Future efforts should focus on these issues in the early phase of developing interventions. TRIAL REGISTRATION: Japan Registry of Clinical Trials jRCT2032200033; https://jrct.niph.go.jp/latest-detail/jRCT2032200033.

Navigating the complexities of mobile medical app development from idea to launch, a guide for clinicians and biomedical researchers.

With today's pace of rapid technological advancement, many patient issues in modern medicine are increasingly solvable by mobile app solutions, which also have the potential to transform how clinical research is conducted. However, many critical challenges in the app development process impede bringing these translational technologies to patients, caused in large part by the lack of knowledge among clinicians and biomedical researchers of "what it takes" to design, develop, and maintain a successful medical app. Indeed, problems requiring mobile app solutions are often nuanced, requiring more than just clinical expertise, and issues such as the cost and effort required to develop and maintain a well-designed, sustainable, and scalable mobile app are frequently underestimated. To bridge this skill set gap, we established an academic unit of designers, software engineers, and scientists that leverage human-centered design methodologies and multi-disciplinary collaboration to develop clinically viable smartphone apps. In this report, we discuss major misconceptions clinicians and biomedical researchers often hold regarding medical app development, the steps we took to establish this unit to address these issues and the best practices and lessons learned from successfully ideating, developing, and launching medical apps. Overall, this report will serve as a blueprint for clinicians and biomedical researchers looking to better benefit their patients or colleagues via medical mobile apps.

Co-design and prototype development of the 'Ayzot App': A mobile phone based remote monitoring system for palliative care.

BACKGROUND: Palliative care, a recognised component of care by the World Health Organization is poorly developed in low- and middle-income countries. Mobile phone technology, an effective way to increase access and sustainability of healthcare systems globally, has demonstrated benefits within palliative care service delivery, but is yet to be utilised in Ethiopia. AIM: To co-design, develop and evaluate a mobile phone based remote monitoring system for use by palliative care patients in Ethiopia. DESIGN: Two-phase co-design approach comprising multiple methods that is stakeholder interviews, focus groups, user-co-creation activities and healthcare worker prioritisation discussions 2019-2020. Phase-1 interviews (n = 40), Phase-2 focus groups (n = 3) and interviews (n = 10). SETTING/PARTICIPANTS: Hospice Ethiopia and Yekatit 12 Medical College Hospital: healthcare workers, palliative care patients, family carers & software-developers. RESULTS: Co-design activities lead to development of the prototype 'Ayzot' application, which was well received and reported to be easy to use. Patients, and family caregivers saw provision of self-care information and symptom management as a key function of the App and expressed very positive attitudes towards such information being included. Healthcare workers found the App offered service benefits, in terms of time and cost-savings. CONCLUSION: This paper provides a detailed example of the development and design of a prototype remote monitoring system using mobile phone technology for palliative care use in Ethiopia. Further development and real-world testing are required, to not only understand how it acts within usual care to deliver anticipated benefits but also to explore its effectiveness and provide cost estimates for wider implementation.

A mobile app to promote alcohol and drug SBIRT skill translation among multi-disciplinary health care trainees: Results of a randomized controlled trial.

BACKGROUND: Adherence to clinical practice guidelines for alcohol and drug screening, brief intervention, and referral to treatment (SBIRT) is often inadequate. Mobile apps developed as clinical translation tools could improve the delivery of high fidelity SBIRT.Methods: This study tested the effectiveness of an SBIRT mobile app conceptually aligned with the Theory of Planned Behavior (TPB) to support SBIRT delivery by health care trainees (nursing, social work, internal medicine, psychiatry, and psychology) working in clinical settings (N = 101). Bivariate analyses examined the rate of SBIRT delivery between trainees assigned to the experimental (app) and control (no app) study conditions; as well as the relationship between TPB-based constructs, intention to deliver SBIRT, and screening rates.Results: No significant differences were identified between the study conditions in SBIRT delivery. Significant correlations were found between intent to screen and TPB variables including attitudes/behavioral beliefs concerning substance use treatment (r = .49, p = .01); confidence in clinical skills (r = .36, p = .01); subjective norms (r = .54, p = .01) and perceived behavioral control over appointment time constraints (r = .42, p = .01). Also significant were correlations between percent of patients screened and confidence (r = .24, p = .05); subjective norms (r = .22, p = .05) and perceived behavioral control (r = .28, p = .01).Conclusions: The negative results of the study condition comparisons indicate the need for further investigation of strategies to optimize mobile app utilization, engagement, and effectiveness as a clinical translation tool. Findings of significant correlations between substance use screening rates and both norms and confidence support the potential value of the TPB model in explaining behavior of health care learners in SBIRT delivery.

What Not to Do with PPE: A Digital Application to Raise Awareness of Proper PPE Protocol.

With a rise in personal protective equipment (PPE) use by all healthcare professionals (HCP) as a prime infection control strategy in the wake of the COVID-19 pandemic comes the potential increase in its misuse. Evidence suggests this failure to follow proper PPE protocol to prevent self-contamination and transmission can be attributed to both a lack of formal training and guidance and, now, atrophy of infrequently used skills, with many senior professionals demonstrating a lack of proficiency despite years of service. Previous research shows current written and illustrated instructional material depicting PPE guidelines are abundant but does not provide an answer on how best to target violations in protocol and better instruct those that are providing pre-hospital emergency healthcare.In this chapter, we aim to address the gap in paramedic-specific research into PPE protocol and provide an educational, digital tool to work alongside the current guidelines, potentially exploring the cognitive load theory as a design strategy. The use of 3D, interactive animations depicting errors in protocol and their potential contamination consequences in a device-based application could engage clinicians in a more effective way, thus increasing protection and decreasing transmission. This chapter describes the methodology behind the design and development of such an application for emergency care providers and provides the relevant materials needed to carry out user testing and evaluation once participants have been recruited.

A mobile app for Glaucoma diagnosis and its possible clinical applications.

BACKGROUND: Nowadays, the latent power of technology, which can offer innovative resolutions to disease diagnosis, has awakened high-level anticipation in the community of patients as well as professionals. An easy-to-use mobile app is developed by us, which is purposefully intended for those patients with glaucoma. METHODS: A mobile App has been invented for smartphones for the convenient use wherever and whenever. The corresponding experiments carried out by public retinal image database and real captured clinical data reveal the ideal classification accuracy of the App. Also, user feedback evaluation is also carried out in terms of performance test as well as and users' experience. RESULTS: For clinical test using Yanbao App, we found 274 patients for the identification with 648 retinal images to be evaluated by glaucoma classification. Of the 243 glaucoma patients, 191 were screened out with an accuracy of 0.7860 (sensitivity); the number of non-glaucoma patients was 310 of 405, and the accuracy reached 0.7654 (specificity).` The total Accuracy amounted to 0.7731, and the result is close to the test performance obtained on public dataset ORIGA and DRISHTI-GS1. CONCLUSIONS: Yanbao App can be applied as an innovative approach exploiting mobile technology to enhance the clinicians' efficiency and a balanced medical resources as well as a provided better tiered medical service system.

Reducing unintentional injuries in under fives: Development and testing of a mobile phone app.

BACKGROUND: Unintentional injuries are a leading cause of preventable death and a major cause of ill health and disability in children under 5 years of age. A health promotion mobile phone application, "Grow up Safely" (GUS), was developed to support parents and carers in reducing unintentional injuries in this population of children. METHODS: A prototype of the mobile application was developed to deliver health education on unintentional injury prevention linked to stages of child development. In order to explore the usability of the app and refine its content, three focus groups were conducted with 15 mothers. Data were analysed using thematic analysis. RESULTS: The majority of participants reported previous use of health apps, mainly related to pregnancy and recommended by health professionals. The app was considered user-friendly and easy to navigate. Participants in two focus groups found the app informative and offered new information, and they would consider using it. Participants in the "young mum's" group considered the advice to be "common sense" but found the language too complex. All participants commented that further development of push-out notifications and endorsement by a reputable source would increase their engagement with the app. CONCLUSION: The GUS mobile phone app, aimed at reducing unintentional injuries in children under five, was supported by mothers as a health promotion app. They would consider downloading it, particularly if recommended by a health professional or endorsed by a reputable organization. Further development is planned with push-out notifications and wider feasibility testing to engage targeted groups, such as young mothers, fathers, and other carers.

Towards the Monitoring of Functional Status in a Free-Living Environment for People with Hip or Knee Osteoarthritis: Design and Evaluation of the JOLO Blended Care App.

(1) Background: Joint loading is an important parameter in patients with osteoarthritis (OA). However, calculating joint loading relies on the performance of an extensive biomechanical analysis, which is not possible to do in a free-living situation. We propose the concept and design of a novel blended-care app called JOLO (Joint Load) that combines free-living information on activity with lab-based measures of joint loading in order to estimate a subject's functional status. (2) Method: We used an iterative design process to evaluate the usability of the JOLO app through questionnaires. The user interfaces that resulted from the iterations are described and provide a concept for feedback on functional status. (3) Results: In total, 44 people (20 people with OA and 24 health-care providers) participated in the testing of the JOLO app. OA patients rated the latest version of the JOLO app as moderately useful. Therapists were predominantly positive; however, their intention to use JOLO was low due to technological issues. (4) Conclusion: We can conclude that JOLO is promising, but further technological improvements concerning activity recognition, the development of personalized joint loading predictions and a more comfortable means to carry the device are needed to facilitate its integration as a blended-care program.

BabblePlay: An app for infants, controlled by infants, to improve early language outcomes.

This project set out to develop an app for infants under one year of age that responds in real time to language-like infant utterances with attractive images on an iPad screen. Language-like vocalisations were defined as voiced utterances which were not high pitched squeals, nor shouts. The app, BabblePlay, was intended for use in psycholinguistic research to investigate the possible causal relationship between early canonical babble and early onset of word production. It is also designed for a clinical setting, (1) to illustrate the importance of feedback as a way to encourage infant vocalisations, and (2) to provide consonant production practice for infant populations that do not vocalise enough or who vocalise in an atypical way, specifically, autistic infants (once they have begun to produce consonants). This paper describes the development and testing of BabblePlay, which responds to an infant's vocalisations with colourful moving shapes on the screen that are analogous to some features of the infant's vocalization including loudness and duration. Validation testing showed high correlation between the app and two human judges in identifying vocalisations in 200 min of BabblePlay recordings, and a feasibility study conducted with 60 infants indicates that they can learn the contingency between their vocalisations and the appearance of shapes on the screen in one five minute BabblePlay session. BabblePlay meets the specification of being a simple and easy-to-use app. It has been shown to be a promising tool for research on infant language development that could lead to its use in home and professional environments to demonstrate the importance of immediate reward for vocal utterances to increase vocalisations in infants.

Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance.

Along with the proliferation of high-end and performant mobile devices, we find that the inclusion of visually animated user interfaces are commonplace, but that research on their performance is scarce. Thus, for this study, eight mobile apps have been developed for scrutiny and assessment to report on the device hardware impact and penalties caused by transitions and animations, with an emphasis on apps generated using cross-platform development frameworks. The tasks we employ for animation performance measuring, are those of (i) a complex animation consisting of multiple elements, (ii) the opening sequence of a side menu navigation pattern, and (iii) a transition animation during in-app page navigation. We employ multiple performance profiling tools, and scrutinize metrics including frames per second (FPS), CPU usage, device memory usage and GPU memory usage, all to uncover the impact caused by executing transitions and animations. We uncover important differences in device hardware utilization during animations across the different cross-platform technologies employed. Additionally, Android and iOS are found to differ greatly in terms of memory consumption, CPU usage and rendered FPS, a discrepancy that is true for both the native and cross-platform apps. The findings we report are indeed factors contributing to the complexity of app development.

Backward design as a mobile application development strategy.

Backward design is a well-established design strategy that has been used to produce educational curriculum for decades. While traditionally used to plan and create classroom-based curriculum, in this paper we explore the use of backward design as a design strategy for the development of an educational mobile application, BiblioTech™ "CityHacks: In Search of Sleep." We discuss the process from initial conception to launch and updates, as well as plans for future research.

Developing smartphone apps for behavioural studies: The AlcoRisk app case study.

Smartphone apps have emerged as valuable research tools to sample human behaviours at their time of occurrence within natural environments. Human behaviour sampling methods, such as Ecological Momentary Assessment (EMA), aim to facilitate research that is situated in ecologically valid real world environments rather than laboratory environments. Researchers have trialled a range of EMA smartphone apps to sample human behaviours such as dieting, physical activity and smoking. Software development processes for EMA smartphones apps, however, are not widely documented with little guidance provided for the integration of complex multidisciplinary behavioural and technical fields. In this paper, the AlcoRisk app for studying alcohol consumption and risk taking tendencies is presented alongside a software development process that integrates these multidisciplinary fields. The software development process consists of three stages including requirements analysis, feature and interface design followed by app implementation. Results from a preliminary feasibility study support the efficacy of the AlcoRisk app's software development process.

A Digital Microintervention Supporting Evidence-Based Parenting Skills: Development Study Using the Agile Scrum Methodology.

BACKGROUND: Conduct disorder increases risks of educational dropout, future mental illness, and incarceration if untreated. First-line treatment of conduct disorder involves evidence-based parenting skills programs. Time-outs, a frequent tool in these programs, can be effective at improving behavior, and recent apps have been developed to aid this process. However, these apps promote the use of time-outs in inconsistent or developmentally inappropriate ways, potentially worsening behavior problems. Digital microinterventions like these apps could guide parents through high-quality time-outs in the moment, but current time-out apps lack features promoting adherence to the evidence-based best practice. Agile scrum is a respected approach in the software development industry. OBJECTIVE: We aimed to explore the feasibility of using the agile scrum approach to build a digital microintervention to help parents deliver an evidence-based time-out. METHODS: The agile scrum methodology was used. Four sprints were conducted. Figma software was used for app design and wireframing. Insights from 42 expert stakeholders were used during 3 sprint reviews. We consulted experts who were identified from councils around the Midlands region of the United Kingdom and charities through personal contacts and a snowballing approach. RESULTS: Over 4 development sprints from August 2022 to March 2023, the app was iteratively designed and refined based on consultation with a diverse group of 42 experts who shared their knowledge about the content of common parenting programs and the challenges parents commonly face. Modifications made throughout the process resulted in significant app enhancements, including tailored timer algorithms and enhanced readability, as well as an onboarding zone, mindfulness module, and pictorial information to increase inclusivity. By the end of the fourth sprint, the app was deemed ready for home use by stakeholders, demonstrating the effectiveness of our agile scrum development approach. CONCLUSIONS: We developed an app to support parents to use the evidence-based time-out technique. We recommend the agile scrum approach to create mobile health apps. Our experience highlights the valuable role that frontline health and social care professionals, particularly those working with vulnerable families, can play as experts in scrum reviews. There is a need for research to both evaluate the impact of digital microinterventions on child behavioral change and also create digital microinterventions that cater to non-English speakers and individuals who participate in parenting programs in settings outside the United Kingdom.

Design of an innovative digital application to facilitate access to healthy foods in low-income urban settings.

Background: Under-resourced urban minority communities in the United States are characterized by food environments with low access to healthy foods, high food insecurity, and high rates of diet-related chronic disease. In Baltimore, Maryland, low access to healthy food largely results from a distribution gap between small food sources (retailers) and their suppliers. Digital interventions have the potential to address this gap, while keeping costs low. Methods: In this paper, we describe the technical (I) front-end design and (II) back-end development process of the Baltimore Urban food Distribution (BUD) application (app). We identify and detail four main phases of the process: (I) information architecture; (II) low and high-fidelity wireframes; (III) prototype; and (IV) back-end components, while considering formative research and a pre-pilot test of a preliminary version of the BUD app. Results: Our lessons learned provide valuable insight into developing a stable app with a user-friendly experience and interface, and accessible cloud computing services for advanced technical features. Conclusions: Next steps will involve a pilot trial of the app in Baltimore, and eventually, other urban and rural settings nationwide. Once iterative feedback is incorporated into the app, all code will be made publicly available via an open source repository to encourage adaptation for desired communities. Trial Registration: ClinicalTrials.gov NCT05010018.

Inclusion of Individuals With Lived Experiences in the Development of a Digital Intervention for Co-Occurring Depression and Cannabis Use: Mixed Methods Investigation.

BACKGROUND: Existing interventions for co-occurring depression and cannabis use often do not treat both disorders simultaneously and can result in higher rates of symptom relapse. Traditional in-person interventions are often difficult to obtain due to financial and time limitations, which may further prevent individuals with co-occurring depression and cannabis use from receiving adequate treatment. Digital interventions can increase the scalability and accessibility for these individuals, but few digital interventions exist to treat both disorders simultaneously. Targeting transdiagnostic processes of these disorders with a digital intervention-specifically positive valence system dysfunction-may yield improved access and outcomes. OBJECTIVE: Recent research has highlighted a need for the inclusion of individuals with lived experiences to assist in the co-design of interventions to enhance scalability and relevance of an intervention. Thus, the purpose of this study is to describe the process of eliciting feedback from individuals with elevated depressed symptoms and cannabis use and co-designing a digital intervention, Amplification of Positivity-Cannabis Use Disorder (AMP-C), focused on improving positive valence system dysfunction in these disorders. METHODS: Ten individuals who endorsed moderate to severe depressive symptoms and regular cannabis use (2-3×/week) were recruited online via Meta ads. Using a mixed methods approach, participants completed a 1-hour mixed methods interview over Zoom (Zoom Technologies Inc) where they gave their feedback and suggestions for the development of a mental health app, based on an existing treatment targeting positive valence system dysfunction, for depressive symptoms and cannabis use. The qualitative approach allowed for a broader investigation of participants' wants and needs regarding the engagement and scalability of AMP-C, and the quantitative approach allowed for specific ratings of intervention components to be potentially included. RESULTS: Participants perceived the 13 different components of AMP-C as overall helpful (mean 3.9-4.4, SD 0.5-1.1) and interesting (mean 4.0-4.9, SD 0.3-1.1) on a scale from 1 (not at all) to 5 (extremely). They gave qualitative feedback for increasing engagement in the app, including adding a social component, using notifications, and being able to track their symptoms and progress over time. CONCLUSIONS: This study highlights the importance of including individuals with lived experiences in the development of interventions, including digital interventions. This inclusion resulted in valuable feedback and suggestions for improving the proposed digital intervention targeting the positive valence system, AMP-C, to better match the wants and needs of individuals with depressive symptoms and cannabis use.

Exploring Maternal and Infant Health App Development and Effectiveness Research: Scoping Review.

BACKGROUND: Globally, high rates of maternal and infant mortality call for interventions during the perinatal period to engage pregnant people as well as their loved ones in care. Mobile health technologies have become ubiquitous in our lives and in health care settings. However, there is a need to further explore their safety and effectiveness to support and improve health outcomes locally and globally. OBJECTIVE: The aim of this study was to review and synthesize published literature that described the development process or effectiveness evaluations of maternal and infant apps. METHODS: We applied a methodological framework for scoping reviews as well as the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines; in addition, the systematic review platform Covidence (Veritas Health Innovation Ltd) was used to facilitate the review of included studies. Search terms were developed collaboratively, and health sciences-associated databases were searched for studies conducted between January 1, 2000, and February 4, 2022. We excluded studies about apps that only gathered or tracked data or targeted care providers. RESULTS: A total of 1027 articles were included for title and abstract screening, of which 87 (8.47%) were chosen for full-text screening. Of these 87 articles, 74 (85%) were excluded with reasons, and 19 (22%) were included. Four articles were added at data extraction from hand searching and 2 others were excluded. Thus, we reviewed and synthesized data from 11 unique studies reported in 21 articles published between 2017 and 2021. The included studies represented 8 different countries. Most of the apps (8/11, 73%) were in English, although apps were also developed in Arabic, Bahasa Indonesia, and Nepali. The articles reviewed revealed the early stage of development of the field of maternal and infant health apps, with modest evidence of app use and achievement of study outcomes. Only 1 (9%) of the 11 apps was endorsed by an independent health care provider society. App development and evaluation processes emerged, and specific app features were identified as vital for well-functioning apps. End-user engagement occurred in some, but not all, parts of app research and development. CONCLUSIONS: Apps to improve maternal and infant health are being developed and launched in enormous numbers, with many of them not developed with mothers' needs in mind. There are concerns about privacy, safety, and the standardization of current apps as well as a need for professional or institution-specific guidelines or best practices. Despite challenges inherent in currently available apps and their design processes, maternal and infant app technology holds promise for achieving health equity goals and improving maternal and child health outcomes. Finally, we propose recommendations for advancing the knowledge base for maternal and infant apps.

Engagement With a Relaxation and Mindfulness Mobile App Among People With Cancer: Exploratory Analysis of Use Data and Self-Reports From a Randomized Controlled Trial.

BACKGROUND: Mobile health (mHealth) apps offer unique opportunities to support self-care and behavior change, but poor user engagement limits their effectiveness. This is particularly true for fully automated mHealth apps without any human support. Human support in mHealth apps is associated with better engagement but at the cost of reduced scalability. OBJECTIVE: This work aimed to (1) describe the theory-informed development of a fully automated relaxation and mindfulness app to reduce distress in people with cancer (CanRelax app 2.0), (2) describe engagement with the app on multiple levels within a fully automated randomized controlled trial over 10 weeks, and (3) examine whether engagement was related to user characteristics. METHODS: The CanRelax app 2.0 was developed in iterative processes involving input from people with cancer and relevant experts. The app includes evidence-based relaxation exercises, personalized weekly coaching sessions with a rule-based conversational agent, 39 self-enactable behavior change techniques, a self-monitoring dashboard with gamification elements, highly tailored reminder notifications, an educational video clip, and personalized in-app letters. For the larger study, German-speaking adults diagnosed with cancer within the last 5 years were recruited via the web in Switzerland, Austria, and Germany. Engagement was analyzed in a sample of 100 study participants with multiple measures on a micro level (completed coaching sessions, relaxation exercises practiced with the app, and feedback on the app) and a macro level (relaxation exercises practiced without the app and self-efficacy toward self-set weekly relaxation goals). RESULTS: In week 10, a total of 62% (62/100) of the participants were actively using the CanRelax app 2.0. No associations were identified between engagement and level of distress at baseline, sex assigned at birth, educational attainment, or age. At the micro level, 71.88% (3520/4897) of all relaxation exercises and 714 coaching sessions were completed in the app, and all participants who provided feedback (52/100, 52%) expressed positive app experiences. At the macro level, 28.12% (1377/4897) of relaxation exercises were completed without the app, and participants' self-efficacy remained stable at a high level. At the same time, participants raised their weekly relaxation goals, which indicates a potential relative increase in self-efficacy. CONCLUSIONS: The CanRelax app 2.0 achieved promising engagement even though it provided no human support. Fully automated social components might have compensated for the lack of human involvement and should be investigated further. More than one-quarter (1377/4897, 28.12%) of all relaxation exercises were practiced without the app, highlighting the importance of assessing engagement on multiple levels.

Development, feasibility testing and perceived benefits of a new app to help with adherence to antiretroviral therapy in people living with HIV in Brazil.

BACKGROUND: Despite the availability of antiretroviral therapy (ART) in many countries, people living with HIV still experience difficulties with treatment. We propose a new smartphone mobile application to assist in adherence to ART. This study aimed to describe this new mobile application's development (content construction and usability), feasibility testing (recruitment, retention rates [attendance], satisfaction) and primary perceived benefits. METHODS: Two consecutive studies were conducted. First, people living with HIV, health care workers and experts in information technology provided feedback to improve the content and usability of the app. After changes in the app were implemented according to the feedback, a second study was performed to assess the feasibility and perceived benefits. Effects on self-reported adherence and perceived well-being were also assessed. RESULTS: Scores of participants (N = 11) showed differences in adherence (effect size .43) and well-being (effect size .45) after using the app. However, the differences did not reach statistical significance. Observing scores individually, six out of 11 participants improved their overall adherence scores, and seven out of 11 participants improved their perceived well-being scores. Recruitment was 95%, and attendance at sessions was 62.5%. In general, the participants were satisfied with the intervention and viewed the app as an informative tool. CONCLUSION: The results are promising and allow us to recommend further studies with the app.

Mobile app for comprehensive management of orthodontic patients with fixed appliances : Design and use.

OBJECTIVES: This study aimed to design and implement a mobile phone application (app) aiming to enhance the cooperation and oral hygiene of orthodontic patients. METHODS: An orthodontic app named "Labkhand" was designed by a team of orthodontists and programmers according to the needs and scheduled interventions for patients. The aim of this app was to obviate the orthodontic needs of patients by providing educational content in the form of texts and videos, oral hygiene reminders, appointment reminders, and nutrition reminders. It also enabled instant messaging and chatting between patients and dental personnel. In this study, 61 patients were monitored during their orthodontic treatment procedure. All patients were evaluated using a questionnaire with 7 questions before and after a 6-month treatment period. A total of 31 patients were instructed to use the app, while the other 30 patients received treatment without the app. The collected data were analyzed using paired t­test and analysis of covariance (ANCOVA) test. RESULTS: While the control group's questionnaire score remained almost the same (P > 0.05), the mean questionnaire score of patients in the intervention group significantly increased after using the app compared to the baseline scores acquired before using the app (P < 0.001). The greatest improvement was noted in topics related to "reminding of appointments", "general information about orthodontic treatment", and "oral hygiene maintenance and instructions". "Quality of services" and "patient-orthodontist communication" showed the least improvement in patient satisfaction. CONCLUSIONS: The Labkhand orthodontic app has multiple functions and can obviate the needs of orthodontic patients easily and at a low cost.

Towards an Advanced Digital Infrastructure Within the Non-University Sector Demonstrated by the PICOS App.

The non-university sector is a central facility for the medical care of patients in Germany. So far, information technology infrastructure in this local health care sector is not developed and the many generated patient data are not further used. In this project, an advanced integrative, digital infrastructure will be established within the regional health care provider. Furthermore, a clinical use case will demonstrate the functionality and added outcome value of cross-sectoral data with a newly developed app to support follow-up care of former intensive care unit patients. The app will give an overview of current health status and generate longitudinal data for use in further clinical research.