Commercial Apps Research Articles

Experiences of Wheelchair Users With Spinal Cord Injury With Self-Tracking and Commercial Self-Tracking Technology ("In Our World, Calories Are Very Important"): Qualitative Interview Study.

Commercial wearable and mobile wellness apps and devices have become increasingly affordable and ubiquitous. One of their aims is to assist the individual wearing them in adopting a healthier lifestyle through tracking and visualizing their data. Some of these devices and apps have a wheelchair mode that indicates that they are designed for different types of bodies (eg, wheelchair users with spinal cord injury [SCI]). However, research focuses mainly on designing and developing new condition-specific self-tracking technology, whereas the experiences of wheelchair users with SCI using self-tracking technology remain underexplored. The objectives of this study were to (1) provide a comprehensive overview of the literature in the field of self-tracking technology and wheelchair users (as a basis for the study), (2) present the self-tracking needs of wheelchair users with SCI, and (3) present their experiences and use of commercial self-tracking technology. We conducted semistructured interviews with wheelchair users with SCI to understand their experiences with self-tracking and self-tracking technologies, their self-tracking needs, and how they changed before and after the injury. The interviews were thematically analyzed using an inductive approach. Our findings comprised three themes: (1) being a wheelchair user with SCI, (2) reasons for self-tracking, and (3) experiences with self-tracking technologies and tools. The last theme comprised 3 subthemes: self-tracking technology use, trust in self-tracking technology, and calorie tracking. In the Discussion section, we present how our findings relate to the literature and discuss the lack of trust in commercial self-tracking technologies regarding calorie tracking, as well as the role of wheelchair users with SCI in the design of commercial self-tracking technology.

Real-World Data on Alcohol Consumption Behavior Among Smartphone Health Care App Users in Japan: Retrospective Study.

Although many studies have used smartphone apps to examine alcohol consumption, none have clearly delineated long-term (>1 year) consumption among the general population. The objective of our study is to elucidate in detail the alcohol consumption behavior of alcohol drinkers in Japan using individual real-world data. During the state of emergency associated with the COVID-19 outbreak, the government requested that people restrict social gatherings and stay at home, so we hypothesize that alcohol consumption among Japanese working people decreased during this period due to the decrease in occasions for alcohol consumption. This analysis was only possible with individual real-world data. We also aimed to clarify the effects of digital interventions based on notifications about daily alcohol consumption. We conducted a retrospective study targeting 5-year log data from January 1, 2018, to December 31, 2022, obtained from a commercial smartphone health care app (CALO mama Plus). First, to investigate the possible size of the real-world data, we investigated the rate of active users of this commercial smartphone app. Second, to validate the individual real-world data recorded in the app, we compared individual real-world data from 9991 randomly selected users with government-provided open data on the number of daily confirmed COVID-19 cases in Japan and with nationwide alcohol consumption data. To clarify the effects of digital interventions, we investigated the relationship between 2 types of notification records (ie, "good" and "bad") and a 3-day daily alcohol consumption log following the notification. The protocol of this retrospective study was approved by the Ethics Committee of the Kyoto University Graduate School and Faculty of Medicine (R4699).

Identifying Common Patterns in the Time of Day of Mindfulness Meditation Associated with Long-Term Maintenance.

Forming a habit of practicing mindfulness meditation around the same time of day is one strategy that may support long-term maintenance and in turn improve physical and mental health. The purpose of this study was to identify common patterns in the time of day of meditation associated with long-term meditation app use to assess the importance of temporal consistency for maintaining meditation over time. App usage data were collected from a random sample of 15,000 users who had paid for an annual membership to a commercial meditation app in 2017. We constructed three measures of temporal consistency in the time of day of meditation sessions in order to categorize users into one of three behavioral phenotypes: Consistent, Inconsistent, or Indeterminate. Panel data models were used to compare temporal consistency across the three phenotypes. Of the 4205 users (28.0%) in the final analytic sample, 1659 (39.5%) users were Consistent, 2326 (55.3%) were Inconsistent, and 220 users (5.23%) were Indeterminate. Panel models confirmed that temporal consistency had contrasting relationships with meditation maintenance among these three phenotypes (p < 0.01). These findings revealed that temporal consistency was associated with meditation maintenance for less than half of app users, which suggests that other behavioral mechanisms in addition to temporally consistent habits can support meditation app use over time. This has important implications for researchers and policymakers trying to promote the maintenance of meditation and other complex health behaviors, such as increased physical activity and healthier diets.

A decade of apps for ADHD management: a scoping review

ABSTRACT Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder typically treated with pharmacotherapy; alternatives such as mobile apps have emerged to support individuals with ADHD. This review utilised the Arksey and O'Malley scoping framework to assess mobile apps for ADHD, examining their characteristics, target users, treatment modalities, techniques, gamification elements, and medical endorsements. We analyzed records from the past decade (2013–2023) across eight digital libraries and two virtual app stores (Google Play Store and Apple's App Store). From 3,474 potentially relevant apps, 46 were analyzed and categorised as commercial or non-commercial, and categorised into video game and non-video game mobile apps. Addressing four primary research questions, the study revealed significant insights: 29.7% of ADHD mobile apps that focused on cognitive treatment, 14.8% aided clinical diagnosis, and cognitive (13.66%) and executive functions (11.8%) techniques were the most commonly prioritised treatment methods. Notably, only two of the 35 commercial mobile apps received medical endorsements, while levels and statistics emerged as the most popular gamification elements. Therefore, this study highlights the widespread availability of mobile mental health apps for individuals with ADHD and their caregivers and underscores the need for future research to integrate mobile apps into ADHD diagnosis and treatment.

User Experience and Extended Technology Acceptance Model in Commercial Health Care App Usage Among Patients With Cancer: Mixed Methods Study.

The shift in medical care toward prediction and prevention has led to the emergence of digital health care as a valuable tool for managing health issues. Aiding long-term follow-up care for cancer survivors and contributing to improved survival rates. However, potential barriers to mobile health usage, including age-related disparities and challenges in user retention for commercial health apps, highlight the need to assess the impact of patients' abilities and health status on the adoption of these interventions. This study aims to investigate the app adherence and user experience of commercial health care apps among cancer survivors using an extended technology acceptance model (TAM). The study enrolled 264 cancer survivors. We collected survey results from May to August 2022 and app usage records from the app companies. The survey questions were created based on the TAM. We categorized 264 participants into 3 clusters based on their app usage behavior: short use (n=77), medium use (n=101), and long use (n=86). The mean usage days were 9 (SD 11) days, 58 (SD 20) days, and 84 (SD 176) days, respectively. Analysis revealed significant differences in perceived usefulness (P=.01), interface satisfaction (P<.01), equity (P<.01), and utility (P=.01) among the clusters. Structural equation modeling indicated that perceived ease-of-use significantly influenced perceived usefulness (β=0.387, P<.01), and both perceived usefulness and attitude significantly affected behavioral intention and actual usage. This study showed the importance of positive user experience and clinician recommendations in facilitating the effective usage of digital health care tools among cancer survivors and contributing to the evolving landscape of medical care.

Formalization of Android Activity-Fragment Multitasking Mechanism and Static Analysis of Mobile Apps

The multitasking mechanism between activities and fragments plays a fundamental role in the Android operating system, which involves a wide range of features, including launch modes, intent flags, task affinities, and structured activities containing fragments. All of them are being widely used in Android apps, both open-source and commercial ones. In this paper, we present a formal semantics of the Android multitasking mechanism between activities and fragments, which accommodates all the important features and gives insofar the most comprehensive and accurate formalization. In particular, our semantics is formulated based on multi-stack systems, and fully captures the behavior of task stacks and activity stacks regarding fragments. Based on the semantics, we provide new static analysis algorithms, which are both multi-stack-aware and fragment-sensitive, thus achieve more precise static analysis for Android apps. We validate our approach by extensive experiments on both open-source and commercial Android apps. The results highlight the benefits of the considering the semantics of the multitasking mechanism between activities and fragments in static analysis, and confirm the efficacy of our approach.

Smartphone-assisted Language Training (SaLT) in Aphasia: Insights from the design and development of a multilingual smartphone application

Background Technology-based aphasia rehabilitation has witnessed steep growth over the past decades with the availability of several commercial apps. While such apps facilitate the intensity of rehabilitation, certain limitations including low multi-language capabilities and/or task-customization (for client-specific needs) result in lower uptake in multilingual countries like India. Aim We describe the development and pilot-testing of the Smartphone- assisted Language Training (SaLT) app – a new application for both mono- and multilingual people with aphasia that facilitates cross-lingual and cross-national sharing of intervention resources. Methods SaLT is a novel, clinician-prescribed, android-based therapy application for mono- and multilingual people with aphasia (SaLT-Home). It can be personalized and customized for individual clients through the clinician-operated web application (SaLT-SLP). Further, it permits asynchronous remote monitoring of therapy progress and sharing of therapy resources with other clinicians across the globe. We present details of the development and structure of the app. We also present pilot testing with four multilingual people with aphasia who undertook clinician-delivered therapy and SaLT-based home therapy. The clinician uploaded personalized tasks and training materials for practice into the SaLT app. Participants with aphasia and their caregivers were asked to practice tasks at home. The focus of this study was not on effectiveness but rather on usage and feasibility. We collected both quantitative and qualitative data regarding the use of the app. After the intervention, participants rated the user experience using the User Mobile Rating Scale. Outcomes &amp; Results Three of the four participants with aphasia across two different languages were motivated to practice and used SaLT-Home. These participants were generally positive about the app. They provided useful insights regarding training in the use of app-delivered therapy, the transition to independent use of such apps and need for support during practice. Conclusions The SaLT application, with its customization and multi-language capabilities, hopes to redefine technology-based intervention in aphasia. Further, it provides the scope for collating and sharing therapy resources by clinicians around the world which could foster the rehabilitation of aphasia, globally. The data from pilot testing also provide insights into the prescription and use of mobile-based home therapy applications which is of general applicability to app-based therapy. The results of this study suggest that future exploration of the use of SaLT is warranted in experimentally controlled treatment studies.

A Qualitative Evaluation of Treatment App Features for Children With Speech Sound Disorders

This research examined the cost and features of 20 speech sound disorder (SSD) treatment apps as part of the feature mapping paradigm. Methods included the development of a 48-item SSD checklist culled from the extant literature and sorted into 10 categories, including linguistic level, feedback types, customization, image types, image iconicity, speech models, technical support, engagement, motor access, and activities. Two independent reviewers rated the apps on both iPhones and iPads. App cost was capped at US$25. Seven trends emerged for characterizing commercial contemporary SSD apps, including (a) word-level stimuli and few exaggerated speech models, (b) general, but nearly absent speech production, feedback, (c) few customization opportunities, (d) varied, and some diverse, images, (e) varied technical elements and supports, (f) engaging and easily manipulated flash cards, and (g) number of features not necessarily related to cost. Child- and clinician-specific clinical implications are discussed.

Perceptions of healthcare professionals and patients with cardiovascular diseases on mHealth lifestyle apps: A qualitative study

BackgroundCardiovascular disease (CVD) is the leading cause of death globally and is predominantly associated with a cluster of lifestyle risk factors. Mobile health (mHealth) apps offer the potential to overcome traditional barriers by supporting healthy lifestyle behaviours. However, knowledge about perceptions of mHealth lifestyle apps among healthcare professionals and people with CVD is sparse. This study examined barriers and facilitators of using the mHealth apps for healthy lifestyle support among healthcare professionals and CVD patients. MethodsWe conducted an in-depth qualitative study employing individual semi-structured interviews with 8 CVD healthcare professionals and 4 patients with CVD in Australia. Participants were asked open-ended questions about their perceptions and experiences with mHealth lifestyle apps. A thematic analysis approach was used to establish perceived barriers and facilitators for mHealth lifestyle apps. ResultsMost participants perceived mHealth lifestyle apps as useful. The key perceptions of facilitators included features for tailoring to personal needs, low costs and wide availability of the apps and addressing barriers to use like reminders. Both healthcare professionals and patients identified the strengths and weaknesses regarding the usefulness of mHealth lifestyle apps. Healthcare professionals and patients perceived several barriers to mHealth app use including trustworthiness, scientific validity, language barriers, the capability of using an app or digital literacy, costs for some commercial apps, and accessibility of an app for low-income groups. ConclusionLifestyle apps provide an opportunity for better patient and healthcare professional communications, however, several barriers including improving digital health literacy and scientific validations of the apps are required before being recommended in clinical practice. Findings from this study can inform potential mHealth lifestyle app design to meet the demands of users. Addressing these barriers effectively can enhance the adoption and efficacy of mHealth apps, ultimately contributing to improved CVD management and healthier lifestyle behaviours.

Abstract 4122840: Patient activation improves with a multi-component personalized mHealth intervention in older adults at risk of cardiovascular disease

Background: Patient activation, a person’s level of confidence, comprehension, and autonomy toward their health, is an essential goal of cardiovascular disease therapy. Previous research has shown a link between high levels of patient activation and better patient outcomes and experiences. However, whether individualized interventions such as a text-based mobile health (mHealth), improve patient activation is unclear. Research on patient activation in people at risk for cardiovascular disease and influential factors is minimal. Aims: This study aimed to 1) determine the effect of a multi-component mHealth intervention on patient activation and 2) examine its predictors among older adults at risk for cardiovascular disease. Methods: In this pilot randomized controlled trial, community-dwelling older adults with poor eating behaviors and reduced physical activity (n=54) were randomly assigned to the GetFIT (control) or GetFIT+ (intervention) groups, with three- and six-month follow-up periods. The GetFIT group received healthy lifestyle counseling from a licensed health coach, a free commercial mHealth app with push alerts on physical activity, and an activity tracker for physical activity monitoring. The GetFIT + group received the same components but had personalized text messages instead of push alerts. The 13-item Patient Activation Measure assessed patient activation; higher scores indicate better activation. Linear mixed-effects models were used to investigate between-group changes in outcomes across time. Results: The mean age was 65.4 ± 6.0 years; 61% were females and 61% were married. Baseline characteristics were comparable between groups. Significant improvements were observed in the GetFIT+ group at three months (mean 3.53, 95% CI 0.11, 6.96; p=0.043) and six months (mean 4.37, 95% CI 0.91, 7.83; p=0.014), whereas improvements in the GetFIT group were non-significant. Adjusting for age, gender, education, employment, marital status, social support, smartphone confidence, and self-perceived health did not alter the results. Nevertheless, only social support was associated with higher patient activation overall (B=5.14, 95% CI 1.00, 9.27; p=0.015). Conclusions: People at risk for cardiovascular disease can improve their self-management abilities, knowledge, and confidence through personalized text messaging. Possessing social support is critical for maximizing the benefits of mHealth interventions.

Mobile apps for diabetes self-management: An updated review of app features and effectiveness.

Self-management of diabetes is extremely challenging and non-adherence is common. Health consequences are significant for those unable to adhere to the complex treatment regimen, which includes regular oral medication and/or insulin use, frequent blood sugar checks, strict dietary management, and regular physical activity. Mobile applications (apps) present a tremendous opportunity to help patients improve adherence to these behaviors. The availability of commercial diabetes self-management apps is increasing exponentially, making it difficult for patients and providers to stay informed about app options and benefits. Previous reviews have described commercial diabetes apps and their features and usability for patients with diabetes. A smaller number have reviewed the effectiveness of these apps in improving blood glucose as well as other aspects of diabetes management. The aim of this article is to update our 2016 review, summarize the results of new reviews, review outcomes of diabetes apps described in the literature, and offer recommendations for app features, effectiveness research, and marketing in apps for diabetes self-management. Although higher-quality research is needed, current reviews suggest that many diabetes apps are effective in lowering HbA1c. Recommendations for future research include reporting critical details such as patient demographics and intervention elements and designing studies to identify the most effective components of diabetes management apps. Furthermore, clearly labeling apps that have data supporting clinical efficacy in app stores would allow both providers and patients to easily identify apps that might be most beneficial. Future research should explore the use of apps for the prevention of diabetes in individuals diagnosed with prediabetes.

Critical Junctures of Technological Mediation: Infrastructuring a Tracing System Through Commercial Apps in South Korea

ABSTRACT The COVID-19 pandemic prompted the global development of contact tracing systems, revealing the adaptability of digital platforms for urban infrastructure. This study, as part of a broader investigation into the implementation of a South Korean contact tracing system during the pandemic, employs an archival research method to examine how the government strategically developed the infrastructure by using the most popular commercial apps in the country. The article identifies three critical junctures of technological mediation in this process—the sites of data reproduction, intimate interaction, and subjectivity transition—elucidating how these junctures interlinked and transformed the material capacities of the involved components, to expedite data reproduction and realignment, a process through which a new digital infrastructure could be configured. The examination of this infrastructuring process highlights the materiality of digital infrastructure as existing through and for data reproduction. This article proposes that this perspective can provide a useful lens to examine evolving forms of infrastructuralization and critique their political implications.

Exploring Long-Term Determinants and Attitudes Toward Smartphone-Based Commercial Health Care Applications Among Patients With Cancer.

Our study explores how attitudes of patients with cancer toward smartphone-based commercial health care apps affect their use and identifies the influencing factors. Of the 960 patients with cancer who participated in a randomized controlled trial for a smartphone-based commercial health care app, only 264 participants, who completed a survey on app usage experiences conducted between May and August 2022, were included in this study. Participants were categorized into three groups: Positive Persistence (PP), Negative Nonpersistence (NN), and Neutral (NE) on the basis of their attitude and willingness to use smartphone-based commercial health care apps. The Health-Related Quality of Life (QOL) Instrument (8 Items), European QOL (5 Dimensions; 5 Levels), The Human Interaction and Motivation questionnaire, and open-ended questionnaires were used to examine factors potentially influencing extended utilization of digital interventions. Despite demographic similarities among the three groups, only the PP and NE groups showed similar app usage compared with the NN group. The combined group (positive persistence and neutral) exhibited significant improvement in depression (P = .02), anxiety (P = .03), and visual analog scale scores (P = .02) compared with the NN group. In addition, patient interaction (P < .01) and the presence of a chatbot/information feature on the app (P < .01) demonstrated a significant difference across the three groups, with the most favorable response observed among the PP group. Patients were primarily motivated to use the app owing to its health management functions, while the personal challenges they encountered during app usage acted as deterrents. These findings suggest that maintaining a non-negative attitude toward smartphone-based commercial health care apps could lead to an improvement in psychological distress. In addition, the social aspect of apps could contribute to extending patient's utilization of digital interventions.

"I Believe the Baby in the Picture is My Baby": User Experiences with Commercial Pregnancy Apps

Commercial pregnancy apps are becoming popular in mobile health and integral to individuals' health management ecosystems. For that, they can complement medical advice and be conveniently used for ubiquitous tracking of pregnancy. Besides their functional and medical purpose, they may elicit subjective, personal, and intimate experiences that are equally relevant to users. Yet, these qualitative aspects of experiencing pregnancy apps remain under-researched. An inquiry into those qualitative aspects may help advance the design of pregnancy apps for improved user embodiment, engagement, and experience. Here, we qualitatively inquire about experiences with six popular pregnancy apps through 4,000+ online reviews. Our findings reveal that pregnancy apps are more than mere trackers and can impact pregnancy experiences, either positively or negatively, based on their design features. Further, reviews pointed to a neglect of family, friends, and relatives in the apps' design, which users found often problematic. To counter these shortcomings, we outline avenues for improving the design of pregnancy apps beyond usability and medical outcomes and call for enhancing their user experience through more sensitive, user-centered, and inclusive design.

Creating and Managing Transactions and Budgets: Analysis of Marketplace Descriptions and Functionality Review of Budgeting Apps

Abstract While financial practises permeate our lives, the effective management of personal finance is not trivial, as indicated in the increasing number of commercial apps aimed to support budgeting. Such apps however have been limitedly explored, despite the growing HCI interest in financial practises. To address this gap, we present the functionality review of 45 top-rated budgeting apps from Google Play and Apple Store, together with an analysis of their descriptions on marketplaces. Findings indicate the value of richer, multimodal app descriptions, support for budgeting literacy and for stronger theoretical underpinning of these apps. They also highlight main functionalities for supporting different types of transactions and accounts, for entering and managing transactions, securing data, as well as for creating and managing budgets. We conclude with five design implications to better support each of these functionalities.

Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices.

Digital health care apps, including digital therapeutics, have the potential to increase accessibility and improve patient engagement by overcoming the limitations of traditional facility-based medical treatments. However, there are no established tools capable of quantitatively measuring long-term engagement at present. This study aimed to evaluate an existing engagement index (EI) in a commercial health management app for long-term use and compare it with a newly developed EI. Participants were recruited from cancer survivors enrolled in a randomized controlled trial that evaluated the impact of mobile health apps on recovery. Of these patients, 240 were included in the study and randomly assigned to the Noom app (Noom Inc). The newly developed EI was compared with the existing EI, and a long-term use analysis was conducted. Furthermore, the new EI was evaluated based on adapted measurements from the Web Matrix Visitor Index, focusing on click depth, recency, and loyalty indices. The newly developed EI model outperformed the existing EI model in terms of predicting EI of a 6- to 9-month period based on the EI of a 3- to 6-month period. The existing model had a mean squared error of 0.096, a root mean squared error of 0.310, and an R2 of 0.053. Meanwhile, the newly developed EI models showed improved performance, with the best one achieving a mean squared error of 0.025, root mean squared error of 0.157, and R2 of 0.610. The existing EI exhibited significant associations: the click depth index (hazard ratio [HR] 0.49, 95% CI 0.29-0.84; P<.001) and loyalty index (HR 0.17, 95% CI 0.09-0.31; P<.001) were significantly associated with improved survival, whereas the recency index exhibited no significant association (HR 1.30, 95% CI 1.70-2.42; P=.41). Among the new EI models, the EI with a menu combination of menus available in the app's free version yielded the most promising result. Furthermore, it exhibited significant associations with the loyalty index (HR 0.32, 95% CI 0.16-0.62; P<.001) and the recency index (HR 0.47, 95% CI 0.30-0.75; P<.001). The newly developed EI model outperformed the existing model in terms of the prediction of long-term user engagement and compliance in a mobile health app context. We emphasized the importance of log data and suggested avenues for future research to address the subjectivity of the EI and incorporate a broader range of indices for comprehensive evaluation.

The SoCAP (Social Communication, Affiliation, and Presence) Taxonomy of Social Features: Scoping Review of Commercially Available eHealth Apps.

eHealth interventions have proven to be valuable resources for users with diverse mental and behavioral health concerns. As these technologies continue to proliferate, both academic researchers and commercial app creators are leveraging the use of features that foster a sense of social connection on these digital platforms. Yet, the literature often insufficiently represents the functionality of these key social features, resulting in a lack of understanding of how they are being implemented. This study aimed to conduct a methodical review of commercially available eHealth apps to establish the SoCAP (social communication, affiliation, and presence) taxonomy of social features in eHealth apps. Our goal was to examine what types of social features are being used in eHealth apps and how they are implemented. A scoping review of commercially available eHealth apps was conducted to develop a taxonomy of social features. First, a shortlist of the 20 highest-rated eHealth apps was derived from One Mind PsyberGuide, a nonprofit organization with trained researchers who rate apps based on their (1) credibility, (2) user experience, and (3) transparency. Next, both mobile- and web-based versions of each app were double-coded by 2 trained raters to derive a list of social features. Subsequently, the social features were organized by category and tested on other apps to ensure their completeness. Four main categories of social features emerged: (1) communication features (videoconferencing, discussion boards, etc), (2) social presence features (chatbots, reminders, etc), (3) affiliation and identity features (avatars, profiles, etc), and (4) other social integrations (social network and other app integrations). Our review shows that eHealth apps frequently use resource-intensive interactions (eg, videoconferencing with a clinician and phone calls from a facilitator), which may be helpful for participants with high support needs. Furthermore, among commercially available eHealth apps, there is a strong reliance on automated features (eg, avatars, personalized multimedia, and tailored content) that enhance a sense of social presence without requiring a high level of input from a clinician or staff member. The SoCAP taxonomy includes a comprehensive list of social features and brief descriptions of how these features work. This classification system will provide academic and commercial eHealth app creators with an understanding of the various social features that are commonly implemented, which will allow them to apply these features to enhance their own apps. Future research may include comparing the synergistic effects of various combinations of these social features.

A self-powered sensor based on hollow bimetallic sulfide and double-strand TSDR amplification achieves sensitive miRNA-21 detection

A self-powered sensor based on hollow bimetallic sulfide and double-strand TSDR amplification achieves sensitive miRNA-21 detection

Evaluating mobile mental health apps using the mobile application rating scale (MARS) in the U.S.

ABSTRACT Objective The objectives of this study were to comprehensively review and evaluate the quality of mobile mental health apps using the MARS and to identify high-quality apps. Method A quantitative content analysis was undertaken. A systematic search of the U.S. Apple App Store and Google resulted in the selection of 25 mobile mental health applications. Coders evaluated these applications using a set of criteria derived from the literature. The intraclass correlation coefficient was employed to assess two-way mixed interrater reliability. Descriptive statistics, including frequency and mean (SD) scores, were calculated for each criterion. Results MARS has two parts: classification category and app quality criteria. For the classification category, we found the majority of apps (1) focused on relieving negative emotions, (2) relied on principles of Cognitive Behavior Therapy (CBT) and Acceptance and Commitment Therapy (ACT), and (3) offered reminders to perform an activity and required login information. Regarding app quality, the 25 apps scored highest in functionality, followed by aesthetics, engagement, and information among the four categories. Wysa was the highest-scoring mental health app, followed by Woebot and Youper. Discussion The study offers descriptive and technical information about the mobile mental health applications, including their focus, theoretical background, and technical aspects. The findings demonstrates that the majority of these applications are of high quality. Consequently, the results facilitate an objective and comprehensive understanding of commercial mental health mobile apps.

A Novel “Well Baby Clinic Service” Mobile Application: User Requirement Assessment and App Development

Abstract Background Utilization of under 5 year old child health care services in Egypt is considered low, the highest proportion of well-baby visits is mainly for immunization in the first two years of age. Parents may rely upon the internet and mobile applications (apps) for support in handling day to day parenting situations. mHealth (Mobile Health) interventions have the potential to be a useful and low-cost way to disseminate information about proper nutrition, can be used to monitor children’s growth using the official charts of World Health Organization, also can help in accessing vaccine-related information and recommended immunization schedules. Objectives To assess needs and requirements for a new comprehensive well-baby clinic mobile app. Also, to develop a mobile app prototype covering all well baby clinic service components which are: Physical growth, Developmental milestones, Immunizations, Nutrition and Safety &amp; emergency measures. Methods This work is done over two phases. In Exploratory phase, we assessed the need for the new app by performing bibliographic review of previous mHealth interventions in child-care field, market search of the available related apps and an online survey to assess the need and expectations of the new app. In preparatory phase, we developed the novel well baby clinic app that constituted all well baby clinic services for children’s health monitoring which are: Physical growth, Developmental milestones, Immunizations, Nutrition and Safety &amp; emergency measures relying on evidence-based information and honoring data safety. Results 13 Arabic apps were downloaded and extracted for review. All of these apps (100%∼13/13) were in the form of written articles that offered no interactive features for parents. All offered general health education not tailored according to the status of the child. None of them were developed by a university or a certified health organization. Almost all of them (92.3%∼12/13) were commercial apps as they included ads. Our online survey on 374 mothers showed that almost all of them (97.5%) reported the need of a new app to regularly follow their children’s health. They also reported the need of nutrition, developmental milestones and physical growth services in the app. We developed “Sehhat Tefly” app constituting caregiver information, child sociodemographic characteristics and the 6 previously mentioned services, it also included health education videos and a conclusive report section. Conclusion After vigorous review of literature, market search and user requirement assessment, apps reviewed didn’t provide any comprehensive approach to well-baby clinic services on a scientific basis. Upon market requirement for child m-health, we developed “Sehhat Tefly” app. The full potential of this app is yet to be defined. Further studies are needed to assess accessibility and usability of the app and to explore difficulties and barriers faced by users in different services.