Evaluation of the Cross-Platform Framework Flutter Using the Example of a Cancer Counselling App

The advance of digitalization is constantly bringing new solutions to various areas of life in our society. The COVID-19 pandemic, among other things, brought increased attention to the application and support of treatments through digital solutions in the healthcare sector due to contact restrictions. However, the development of digital solutions comes at a high cost in terms of time and expenses. Mobile app development requires the development of two separate apps for the two respective market-leading mobile operating systems iOS and Android. Cross-platform frameworks make it possible to develop apps for both operating systems on a single code base, thus saving the development and maintenance of two separate codes. Flutter is currently the most popular cross-platform framework for the development of mobile apps. This paper has evaluated Flutter based on an existing criteria catalogue. As a usage context for the evaluation, a prototype for Cancer Counselling App of the University Medical Center Freiburg was implemented. According to the gained own prototyping experience with Flutter and a thorough literature analysis in this area, the criteria catalogue was filled out and the result was compared with other mobile App development paradigms. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

The effect of remote fitting technology on hearing aid satisfaction

Background: Telemedicine is a method of providing remote healthcare services and consultations to patients using communication technology. Tele-audiology is a sub-branch of telemedicine. It refers to providing audiology services using telehealth strategies. This study aims to compare the satisfaction of patients who come to the hearing aid center and receive device fitting service and patients who have hearing aid fitting using tele-audiology service. For this purpose, hearing aid users were divided into two groups. The study group consisted of 17 participants (10 male, 7 females;mean age 65.17 +/- 13.88) who continued fitting appointments remotely after the first clinic application, while the control group consisted of 23 participants (10 males, 13 females;mean age 62.17 +/- 18.32) who had all hearing aid fittings performed face-to-face in the clinic. The participant's satisfaction was assessed with The International Outcome Inventory for Hearing Aids Turkiye (IOI-HA-TR) questionnaire because it is practical and can be administered over the phone. Result(s): There were no significant differences in hearing aid satisfaction between those who came to the hearing center and filled out the IOI-HA-TR questionnaire personally and those who completed it through the Remote Care application (p < 0.05). In addition, most of the participants stated that using Remote Care solved their problems (35% very good, 24% good) and they were satisfied with the fitting of their hearing aids with this application (35% good, 29% very good). In addition, 13 out of 17 participants stated that they would pay attention to the "remote fitting" feature when purchasing a new hearing aid (76% very good). Moreover, they would like to continue the fitting using the Remote Care application (65% yes). Conclusion(s): Remote fitting technology via smartphone applications can facilitate the lives of hearing aid users and improve their quality of life in cases of risky conditions such as pandemics, various diseases, and physical limitations.Copyright © 2023, The Author(s).

Investigating Emergency Department Nurses' Educational Needs and Exploring Strategies to Meet Challenges Against Management of These Needs: A Qualitative Study

Background: Nurses who are occupied in emergency departments play a critical role in health services provision and patient care. Considering the importance of providing appropriate and immediate care in emergency departments, nurses need to acquire sufficient skills and up-to-date knowledge. Objective(s): This study aimed to identify the educational needs of nurses working in the emergency department and explore strategies to meet challenges against the elimination of these needs. Method(s): This qualitative study was conducted using a content analysis approach. This study selected the emergency departments of two large educational hospitals affiliated with Shiraz University of Medical Sciences, Shiraz, southern Iran. This study was conducted on 15 emergency department nurses selected via purposive sampling with maximum variation within January 2020 and March 2021.The data were collected by performing 15 in-depth, semi-structured interviews (11 face-to-face and 4 telephone interviews due to the coronavirus disease 2019 pandemic) and making field notes. Then, the recorded interviews were transcribed verbatim and analyzed using the qualitative content analysis approach proposed by Graneheim and Lundman. The consolidated criteria for reporting qualitative studies (COREQ) was used to report the findings of this study. Result(s): Three main themes, namely the need for comprehensive and continuous education, challenges of managing educational needs, and strategies to meet educational needs, were extracted following data analysis. Conclusion(s): Clarifying the educational needs of nurses and exploring strategies to solve these challenges can be effective by providing continuous practical training and adopting effective teaching-learning strategies to promote nurses' education and improve their performance in clinical skills. Accordingly, the provision of appropriate infrastructure for mobile health applications and utilization of mobile-based educational applications in emergency departments have to be taken into account by hospital managers and health policymakers.Copyright © 2023, Author(s).

Empirical study on the effectiveness of online groups using a mobile health application for middle-aged and older adults to continue exercising.

[Purpose] This study aimed to determine the effects of a mobile health application, and exercise instructions by a physical therapist on exercise frequency, duration, and intensity for middle-aged and older adults. [Participants and Methods] The study included males and females in their 50s to 70s, who provided consent to participate. Thirty-six people who wished to participate in the online group were divided into groups of five or six each, with a physical therapist as group leader. The frequency, intensity, duration of exercise, and group activities were surveyed using questionnaires: before coronavirus disease (COVID-19) (before March 2020, when the novel coronavirus began to spread in Japan), during COVID-19 (after April 2020), after digital versatile disc (DVD) distribution, and after online group initiation (3 weeks after DVD distribution for the control group). [Results] The online group received significantly more frequent instructions by a physiotherapist than the control group. The control group did not show significant changes over time, whereas the online group exercised significantly, more frequently after the intervention. [Conclusion] The online mode and physical therapist intervention resulted in a significant increase in exercise frequency. Exercise advice from professionals and peer presence to continue exercising together were beneficial.

Adaptation of a mobile app for early anxiety and depression intervention in university students in Chile: Participatory study

The high prevalence of mental health problems among university students poses a challenge when developing effective interventions, with digital technologies emerging as a potential resource to address this problem. The inclusion of student input in the design and development of such interventions is critical to improving their impact. This study contributed to the initial phase of a research project that aims to adapt and evaluate the feasibility and acceptability of an early intervention for anxiety and depression based on digital technologies for university students. Three participatory workshops were conducted with 13 university students in Chile to inquire about the features and content that a mental health mobile app should include to meet their needs and preferences. The workshop transcripts were analysed using inductive thematic analysis. The results of this study highlight the value of modifications such as the personalisation of some features of the app. The students recommended incorporating topics related to university life and the possibility of contacting a mental health professional, as well as the inclusion of peer interaction or other forms of support.Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists.

Smarte Inclusion - guided through complex tasks with the RehaGoal app.

The mobile application RehaGoal app is presented for people with acquired and congenital brain damage who have difficulties with complex planning tasks. The development of the RehaGoal app was based on the Goal Management Training approach, which focuses on breaking down an overarching goal into sub-goals and manageable steps to achieve them. So far, this approach has been paper-based, which makes it difficult to transfer to everyday life. Therefore, the RehaGoal app, which can be used on various digital devices such as smartphones, smartwatches, etc., was developed. Our target group often has additional limitations, which is why the RehaGoal app has a barrierfree design, voice output, visual display options, a user-dependent display, simple menu navigation and an authoring system. We illustrate the possible applications of the RehaGoal app with patients in outpatient neuropsychological rehabilitation, during vocational reintegration and during lockdown due to COVID-19.Copyright © Hippocampus Verlag 2023.

The influence of personal and public health and smart applications on biking behavior in South Korea

Bicycling is an important form of active transport that contributes to sustainability mobility as a result of its role in personal and public health and emissions reduction. The significance of which has grown since the COVID‐19 pandemic outbreak. However, biking studies have neglected, in theoretical terms, developing an understanding of why consumers bike. Therefore, this research designs and verifies an extended theory of planned behavior adding personal and public health and a moderator of perceived smart application usage to help explain such consumer behavior. This study is based on a digital survey of South Koreans who biked for leisure, tourism, and/or work, utilizing partial least squares‐structural equation modeling with multi‐group analysis and Fuzzy‐set Qualitative Comparative Analysis. Results revealed that personal health is most important to cyclists, followed by public health, attitude, and subjective norm. Interestingly, people with perceived high usage of smart applications for biking show stronger relationships between public health and attitude and perceived behavioral control and behavioral intention than low users. In contrast, individuals with perceived low usage of smart applications for biking reveal a stronger relationship between attitude and behavioral intention than high users. The high and low user groups of smart applications also distinctively differ in levels of cycling behavior. Consequently, this work offers several theoretical and managerial implications for research and practice.

Digital health and the COVID-19 epidemic: An assessment framework for apps from an epidemiological and legal perspective

As COVID-19 spreads across the globe, crowdsourced digital technology harbours the potential to improve surveillance and epidemic control, primarily through increased information coverage, higher information speed, fast case tracking and improved proximity tracing. Targeting those aims, COVID-19-related smartphone and webbased health applications are continuously emerging, leading to a multitude of options, raising ethical and legal challenges and potentially overwhelming end users. Building on an existing trustworthiness checklist for digital health applications, we searched the literature and developed a framework to guide the assessment of smartphone and web-based applications that aim to contribute to controlling the current epidemic or mitigating its effects. It further integrates epidemiological subject knowledge and a legal analysis, outlining the mechanisms through which new applications can support the fight against COVID-19. The resulting framework includes 40 questions across 8 domains on "purpose", "usability", "information accuracy", "organisational attributes / reputation", "transparency", "privacy" and "user control / self-determination". All questions should be primarily answerable from publicly available data, as provided by application manufacturers. The framework aims to guide end users in choosing a transparent, safe and valuable application and suggests a set of information items that developers ideally make available to allow a balanced judgement and facilitate the trustworthiness of their products.Copyright © 2020 EMH Schweizerischer Arzteverlag AG. All rights reserved.

Protecting Older Adult Residents in Care Facilities Against Influenza and COVID-19 Using the Influenza Communication, Advice and Reporting (FluCARE) App: Prospective Cohort Mixed Methods Study.

BACKGROUND: Early detection and response to influenza and COVID-19 outbreaks in aged care facilities (ACFs) are critical to minimizing health impacts. The Sydney Local Health District (SLHD) Public Health Unit (PHU) has developed and implemented a novel web-based app with integrated functions for online line listings, detection algorithms, and automatic notifications to responders, to assist ACFs in outbreak response. The goal of the Influenza Outbreak Communication, Advice and Reporting (FluCARE) app is to reduce time delays to notifications, which we hope will reduce the spread, duration, and health impacts of an influenza or COVID-19 outbreak, as well as ease workload burdens on ACF staff. OBJECTIVE: The specific aims of the study were to (1) evaluate the acceptability and user satisfaction of the implementation and use of FluCARE in helping ACFs recognize, notify, and manage influenza and COVID-19 outbreaks in their facility; (2) identify the safety of FluCARE and any potential adverse outcomes of using the app; and (3) identify any perceived barriers or facilitators to the implementation and use of FluCARE from the ACF user perspective. METHODS: The FluCARE app was piloted from September 2019 to December 2020 in the SLHD. Associated implementation included promotion and engagement, user training, and operational policies. Participating ACF staff were invited to complete a posttraining survey. Staff were also invited to complete a postpilot evaluation survey that included the user Mobile Application Rating Scale (uMARS) measuring app acceptance, utility, and barriers and facilitators to use. An issues log was also prospectively maintained to assess safety. Survey data were analyzed descriptively or via content analysis where appropriate. RESULTS: Surveys were completed by 31 consenting users from 27 ACFs. FluCARE was rated 3.91 of 5 overall on the uMARS. Of the 31 users, 25 (80%) would definitely use FluCARE for future outbreaks, and all users agreed that the app was useful for identifying influenza and COVID-19 outbreaks at their facilities. There were no reported critical issues with incorrect or missed outbreak detection. User training, particularly online training modules, and technical support were identified as key facilitators to FluCARE use. CONCLUSIONS: FluCARE is an acceptable, useful, and safe app to assist ACF staff with early detection and response to influenza and COVID-19 outbreaks. This study supports feasibility for ongoing implementation and efficacy evaluation, followed by scale-up into other health districts in New South Wales.

Tracking Changes in Mobility Before and After the First SARS-CoV-2 Vaccination Using Global Positioning System Data in England and Wales (Virus Watch): Prospective Observational Community Cohort Study.

BACKGROUND: Evidence suggests that individuals may change adherence to public health policies aimed at reducing the contact, transmission, and spread of the SARS-CoV-2 virus after they receive their first SARS-CoV-2 vaccination when they are not fully vaccinated. OBJECTIVE: We aimed to estimate changes in median daily travel distance of our cohort from their registered addresses before and after receiving a SARS-CoV-2 vaccine. METHODS: Participants were recruited into Virus Watch starting in June 2020. Weekly surveys were sent out to participants, and vaccination status was collected from January 2021 onward. Between September 2020 and February 2021, we invited 13,120 adult Virus Watch participants to contribute toward our tracker subcohort, which uses the GPS via a smartphone app to collect data on movement. We used segmented linear regression to estimate the median daily travel distance before and after the first self-reported SARS-CoV-2 vaccine dose. RESULTS: We analyzed the daily travel distance of 249 vaccinated adults. From 157 days prior to vaccination until the day before vaccination, the median daily travel distance was 9.05 (IQR 8.06-10.09) km. From the day of vaccination to 105 days after vaccination, the median daily travel distance was 10.08 (IQR 8.60-12.42) km. From 157 days prior to vaccination until the vaccination date, there was a daily median decrease in mobility of 40.09 m (95% CI -50.08 to -31.10; P<.001). After vaccination, there was a median daily increase in movement of 60.60 m (95% CI 20.90-100; P<.001). Restricting the analysis to the third national lockdown (January 4, 2021, to April 5, 2021), we found a median daily movement increase of 18.30 m (95% CI -19.20 to 55.80; P=.57) in the 30 days prior to vaccination and a median daily movement increase of 9.36 m (95% CI 38.6-149.00; P=.69) in the 30 days after vaccination. CONCLUSIONS: Our study demonstrates the feasibility of collecting high-volume geolocation data as part of research projects and the utility of these data for understanding public health issues. Our various analyses produced results that ranged from no change in movement after vaccination (during the third national lock down) to an increase in movement after vaccination (considering all periods, up to 105 days after vaccination), suggesting that, among Virus Watch participants, any changes in movement distances after vaccination are small. Our findings may be attributable to public health measures in place at the time such as movement restrictions and home working that applied to the Virus Watch cohort participants during the study period.

Monitoring Symptoms of COVID-19: Review of Mobile Apps.

BACKGROUND: Mobile health (mHealth) apps have facilitated symptom monitoring of COVID-19 symptoms globally and have been used to share data with health care professionals and support disease prediction, prevention, management, diagnostics, and improvements in treatments and patient education. OBJECTIVE: The aim of this review is to evaluate the quality and functionality of COVID-19 mHealth apps that support tracking acute and long-term symptoms of COVID-19. METHODS: We systematically reviewed commercially available mHealth apps for COVID-19 symptom monitoring by searching Google Play and Apple iTunes using search terms such as "COVID-19," "Coronavirus," and "COVID-19 and symptoms." All apps underwent three rounds of screening. The final apps were independently assessed using the Mobile Application Rating Scale (MARS), an informatics functionality scoring system, and the Center for Disease Control and World Health Organization symptom guidelines. The MARS is a 19-item standardized tool to evaluate the quality of mHealth apps on engagement, functionality, aesthetics, and information quality. Functionality was quantified across the following criteria: inform, instruct, record (collect, share, evaluate, and intervene), display, guide, remind or alert, and communicate. Interrater reliability between the reviewers was calculated. RESULTS: A total of 1017 mobile apps were reviewed, and 20 (2%) met the inclusion criteria. The majority of the 20 included apps (n=18, 90%) were designed to track acute COVID-19 symptoms, and only 2 (10%) addressed long-term symptoms. Overall, the apps scored high on quality, with an overall MARS rating of 3.89 out of 5, and the highest domain score for functionality (4.2). The most common functionality among all apps was the instruct function (n=19, 95%). The most common symptoms included in the apps for tracking were fever and dry cough (n=18, 90%), aches and pains (n=17, 85%), difficulty breathing (n=17, 85%), tiredness, sore throat, headache, loss of taste or smell (n=16, 80%), and diarrhea (n=15, 75%). Only 2 (10%) apps specifically tracked long-term symptoms of COVID-19. The top 4 rated apps overall were state-specific apps developed and deployed for public use. CONCLUSIONS: Overall, mHealth apps designed to monitor symptoms of COVID-19 were of high quality, but the majority of apps focused almost exclusively on acute symptoms. Future apps should also incorporate monitoring long-term symptoms of COVID-19 and evidence-based educational materials; they should also include a feature that would allow patients to communicate their symptoms to specific caregivers or their own health care team. App developers should also follow updated technical and clinical guidelines from the Center for Disease Control and the World Health Organization.

The Users' Behavioral Intention to Use Mobile Health-Tech Application to Prevent the Spreading of Coronavirus

The emergence of mobile health applications (MH-Apps) has enhanced the healthcare field's services, particularly in the treatment, diagnosis, and follow-up. AMAN Mobile Health Application (AMAN MH-App) is one of the health-tech solutions used to fight the Coronavirus pandemic. It has a built-in feature to track users' activities to protect users from contacting an infected person. However, the acceptance of AMAN MH-App in Jordan is still in an early stage, and the number of users has reached 15% of the country's population. Therefore, this study aims to assess the use of AMAN MH-App among young people using the quantitative method. A total of (450) valid samples participated in the study after removing 33 invalid samples. Smart-PLS 3.2.7 was used for data analysis. The findings showed that all independent variables (Perceived usefulness, Perceived ease of use value, Subjective norms, Perceived behavioral control, Information Credibility, and Optimism) positively impact on the dependent variable (Behavioural Intention to use AMAN MH-App). We believe that AMAN MH-App's information's credibility (i.e. providing up-to-date, authoritative, accurate, and trustworthy information) will increase the number of the App's users. The results of this research can be applied to similar context and applications in different countries.

Acceptance Analysis on Online Health Application During COVID-19 Pandemic in Jakarta Using TAM

Online health applications have been popular in Indonesia since there are many people who must stay in their house to do self-isolation. Researchers want to analyze how the public accepts this information system technology in their daily lives using the TAM model. Some of the variables tested on this study are user's perceived ease of use, perceived usefulness, attitude towards using, behavioral intention and actual use of the application. By doing quantitative research on this topic researchers got 105 respondents on the questionnaire distribution and the data was analyzed and processed using smartPLS software. As a result of this study is that online health applications are accepted well by the users, also all hypotheses proposed are significant and accepted. © 2022 IEEE.

How Can Mobile Health Technology Improve Usage and Delivery of the COVID-19 Vaccine in Low-and Middle-Income Countries?

BACKGROUND: Mobile health projects have been implemented worldwide, using mobile phones for record keeping, data collection, or patient communication. Further, mobile health tools have been used to promote behavior change in health workers and/or patients. For example, text message reminders have been shown to increase health-care-seeking behavior or medication adherence in some patients, and mobile data collection and communication tools for health workers have improved follow-up of patients and data reporting. METHODS: This literature review was conducted through a keyword search of the following databases to identify relevant peer-reviewed articles: Google Scholar, PubMed, Embase, and EKB. Keywords used in these searches included mHealth, mobile health, mobile phone, coverage, usage, delivery, vaccination, immunization, and COVID-19. RESULTS: Eleven studies that satisfied the inclusion criteria were included. They examined awareness, applications, challenges, and strengths of Mobile-Health applications. All studies showed some evidence that mHealth intervention had a positive impact on increasing the coverage and use of the COVID-19 vaccine. Bad awareness of people was strongly associated with declines in vaccination intent. The use of mobile applications has made a great revolution in tracking and data gathering about vaccination status. The main limitations were reporting bias and malfunctioning of mobile applications. The main strengths were getting real-time data, improving surveillance, using geographic mapping to monitor populations. CONCLUSION: Growing usage of smartphones and Internet penetration in African countries opens the door to mHealth applications such as health literacy, vaccine supply and control, disease monitoring and intervention, and virtual consultations with health professionals worldwide.

SIGN OF THE TIMES: COMMUNITY-ENGAGEMENT TO REFINE A CARDIOVASCULAR MHEALTH INTERVENTION THROUGH A VIRTUAL FOCUS GROUP SERIES DURING THE COVID-19 PANDEMIC

BACKGROUND: African-Americans (AA) are underrepresented in mobile health (mHealth) intervention research studies which can perpetuate health inequities and the digital divide. A community based, user-centered approach to designing mHealth interventions may increase their sociocultural relevance and effectiveness, especially with increased smartphone use during the COVID-19 pandemic. We aimed to refine an existing mHealth intervention via a virtual focus group series for use in a randomized controlled trial (RCT) aiming to improve cardiovascular health (CVH) in AAs. METHODS: AA community members (N=15) from churches in Minneapolis and Rochester, Minnesota were enrolled in a virtual, 3-session focus group series over 5 months to refine an existing CVH focused mHealth application (FAITH! App). Participants completed a baseline electronic survey capturing sociodemographics, mobile technology use, and electronic health information sources prior to start of focus groups. Participants accessed the FAITH! App via their smartphones and received a Fitbit synced to the app. Participants engaged with multimedia CVH focused education modules, a sharing board for social networking, and diet/PA self-monitoring. Participant feedback on app features prompted iterative revisions to yield a refined app. Primary outcomes were app usability (assessed via Health Information Technology Usability Evaluation Scale [Health-ITUES], range 0-5) and user satisfaction which were evaluated via electronic survey after the final focus group. A predetermined goal of mean overall Health-ITUES score of ≥4 was set for the app to advance for use in the RCT. RESULTS: Participants (mean age [SD] 56.9 [12.3] years, 13, 86.7% female) attended a mean 2.8 focus groups (80% attended all sessions). Participant feedback resulted in app refinements to increase visual appeal, increase diversity and gender balance in testimonial videos, further improve ease of diet/PA self-monitoring, and add fitness videos as well as a moderated sharing board. The revised FAITH! App achieved a mean overall Health-ITUES score of ≥4 (mean 4.39, range 3.20-4.95). Participants positively rated updated app content, visual appeal, and use of social incentives to maintain engagement. Increasing user control and further refinement of the moderated sharing board were identified as areas for future improvement. CONCLUSIONS: Virtual focus group data can improve usability and increase participant satisfaction in mHealth lifestyle interventions aiming to promote CVH in AAs.

Use of a Diabetes Self-Management Application in Combination with a 4 mm Pen Needle and Its Impact on Glycemic Variability and Patient-Reported Outcomes in People with Type 2 Diabetes Using Basal-Bolus Insulin Therapy

Background: Studies of mobile diabetes applications (apps) have demonstrated improvements in glycemia, and patient-reported outcomes (PROs). In addition, shift to shorter pen needles (PN) and guidance on proper injection techniques have shown the potential for reduced glycemic variability. The purpose is to determine the impact of using a diabetes mobile app plus a novel 4 mm PN on PROs and glycemic outcomes in type 2 diabetes mellitus (T2DM) for multiple daily injection (MDI) insulin users. Materials and methods: In this 8-week prospective, parallel-group, randomized controlled trial, subjects either received (1:1) intervention (BD Diabetes Care [DC] App + BD Nano TM 2nd Gen PN) or control therapy. Controls used their current PN and did not use diabetes apps. Results: Fifty-eight subjects were randomized. Fifty-seven completed the study (intervention n = 27, control n = 30). At study end, there were no significant differences in PROs between groups, except improved medication adherence (ARMS-D) in controls. From flash glucose monitoring (fGM) data, there were no significant differences in most glycemic measures between groups except for a trend for improved glycemic variability [mean amplitude of the glycemic excursions (MAGE)] in the Intervention (p = 0.06). Controls had significantly reduced time spent in hypoglycemia but had 2 to 3-fold higher incidence at baseline. In general, Intervention subjects reported satisfaction with both the app and PN. Conclusions: This is the first BD DC App study, in combination with BD Nano TM 2nd Gen PN, to assess glycemic outcomes. This combination intervention shows promising results for reduced glycemic variability and the potential to positively impact self-management.

Quality Assessment of Digital Health Applications: Protocol for a Scoping Review.

BACKGROUND: All over the world, development and usage of mobile health (mHealth) apps is increasing. While apps offer numerous opportunities to improve health care, there are associated problems that differ significantly from those of traditional health care services. Further investigations on the quality of mHealth apps are needed to address these problems. OBJECTIVE: This study aims to identify and map research on quality assessment and quality assurance of mHealth apps and their transferability to continuous quality assurance of mHealth apps. METHODS: The scoping review will follow published methodological frameworks for scoping studies as well as Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews criteria. Electronic databases (Medline, EMBASE, and PsycINFO), reference lists of relevant articles, and websites of relevant institutions will be searched. Two reviewers will independently assess eligibility of articles. Therefore, a 2-stage (title and abstract, followed by full text) screening process was conducted. Quality management systems and quality assessment tools will be analyzed and included in our review. Particular focus is placed on quality dimensions. RESULTS: This scoping review provides an overview of the available evidence and identifies research gaps regarding continuous quality assessment of mHealth apps. Thereby, relevant quality dimensions and criteria can be identified and their eligibility and relevance for the development of a continuous quality assurance system of mHealth apps can be determined. Our results are planned to be submitted to an indexed, peer-reviewed journal in the second half of 2022. CONCLUSIONS: This is the first review in the context of continuous quality assurance of mHealth apps. Our results will be used within the research "Continuous quality assurance of Digital Health Applications" ("QuaSiApps") project funded by the German Federal Joint Committee. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36974.

Improving Well-being With a Mobile Artificial Intelligence-Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study.

BACKGROUND: Research and dissemination of smartphone apps to deliver coaching and psychological driven intervention had seen a great surge in recent years. Notably, Acceptance Commitment Therapy (ACT) protocols were shown to be uniquely effective in treating symptoms for both depression and anxiety when delivered through smartphone apps. The aim of this study is to expand on that work and test the suitability of artificial intelligence-driven interventions delivered directly through popular texting apps. OBJECTIVE: This study evaluated our hypothesis that using Kai.ai will result in improved well-being. METHODS: We performed a pragmatic retrospective analysis of 2909 users who used Kai.ai on one of the top messaging apps (iMessage, WhatsApp, Discord, Telegram, etc). Users' well-being levels were tracked using the World Health Organization-Five Well-Being Index throughout the engagement with service. A 1-tailed paired samples t test was used to assess well-being levels before and after usage, and hierarchical linear modeling was used to examine the change in symptoms over time. RESULTS: The median well-being score at the last measurement was higher (median 52) than that at the start of the intervention (median 40), indicating a significant improvement (W=2682927; P<.001). Furthermore, HLM results showed that the improvement in well-being was linearly related to the number of daily messages a user sent (ß=.029; t81.36=4; P<.001), as well as the interaction between the number of messages and unique number of days (ß=-.0003; t81.36=-2.2; P=.03). CONCLUSIONS: Mobile-based ACT interventions are effective means to improve individuals' well-being. Our findings further demonstrate Kai.ai's great promise in helping individuals improve and maintain high levels of well-being and thus improve their daily lives.

Preferences in the Willingness to Download a COVID-19 Contact Tracing App in the Netherlands and Turkey: Experimental Study.

BACKGROUND: Despite the worldwide growth in using COVID-19 contact tracing apps (CTAs) and the potential benefits for citizens, governments, health care professionals, businesses, and other organizations, only a few studies have examined the factors affecting the levels of willingness to download a CTA. OBJECTIVE: This study aimed to investigate individuals' preferences in the willingness to download a health app. METHODS: We conducted an experimental study in 2 countries, the Netherlands (N=62) and Turkey (N=83), using 4 different vignettes (ie, data protection, manufacturer, reward, and gaming models) with different attributes. Participants were randomly assigned to 1 of the conditions within the vignettes. RESULTS: The results showed that data protection and gaming elements are factors that influence the willingness to download a COVID-19 CTA. More specifically, we see that data protection is an important factor explaining the willingness to download the app in Turkey, whereas including gaming elements significantly affects the willingness to download the app in the Netherlands. CONCLUSIONS: COVID-19 CTAs are highly promising to reduce the spread of the virus and make it easier to open up society faster, especially because they can be used quickly and share information rapidly. COVID-19 CTA developers must ensure that their apps satisfactorily and sufficiently address ethical considerations, even in times of crisis. Furthermore, integrating gaming elements in the CTA could enhance the willingness to download the CTA.