The Needle in the Haystack: Identifying Credible Mobile Health Apps for Pediatric Populations during a Pandemic and beyond

The use of mobile health applications in the development of a healthy lifestyle of adolescents: A cross-sectional study

PURPOSE

The aim of this study was to determine the characteristics of adolescents' use of mobile health applications in the development of a healthy lifestyle.

DESIGN AND METHODS

This was a descriptive comparative cross-sectional study. This study was conducted between October 21, 2024 and December 31, 2024 with 563 adolescents in seven schools in a province in the Western Black Sea Region of Türkiye. Data were collected face-to-face using the "Information Form on Children's Descriptive Characteristics and Mobile Health Applications" and the "Healthy Lifestyle Belief Scale for Adolescents". Student t-test and ANOVA were used to analyze the data.

RESULTS

The most frequent applications of the adolescents were physical activity themed applications (40.5 %) and healthy nutrition themed applications (33.3 %), respectively. Those who preferred physical activity-themed applications (61.82 ± 0.70) had a higher mean score of Healthy Lifestyle Belief Scale for Adolescents than those who preferred Ministry of Health applications (43.54 ± 2.91) (p < 0.001). Adolescents who used mobile health applications that allowed regular monitoring of their own health status (68.20 ± 0.28) had a higher mean score of Healthy Lifestyle Belief Scale for Adolescents than those who used mobile health applications that allowed monitoring of sleep patterns (55.35 ± 1.24) (p < 0.001).

CONCLUSION

This study can provide information about the characteristics and advantages of mobile health applications used by adolescents, the features taken into account when downloading applications, and ensure that future interventions focus primarily on this system.

PRACTICE IMPLICATIONS

Pediatric nurses can provide counseling for the individual health needs of adolescents and provide the right guidance to develop a healthy lifestyle.

Real-World Adoption of Mental Health Support Among Adolescents: Cross-Sectional Analysis of the California Health Interview Survey

OBJECTIVE

We aim to examine: (a) the extent to which patterns of adoption of counseling services and digital mental health interventions (DMHIs) shifted in recent years (2019-2021); (b) the impact of distress on adoption of mental health support; and (c) reasons related to adolescents' low adoption of DMHIs when experiencing distress.

METHODS

Data were from three cohorts of adolescents aged 12-17 years (n = 847 in 2019; n = 1,365 in 2020; n = 1,169 in 2021) recruited as part of the California Health Interview Survey. We estimated logistic regression models to examine the likelihood of using mental health support as a function of psychological distress, sociodemographic characteristics, and cohorts. We also analyzed adolescents' self-reported reasons for not trying DMHIs as a function of distress.

RESULTS

The proportion of adolescents reporting elevated psychological distress (∼50%) was higher than those adopting counseling services (<20%) or DMHIs (<10%). A higher level of distress was associated with a greater likelihood of receiving counseling (OR = 1.15), and using DMHIs to connect with a professional (Odds ratio (OR) = 1.11) and for self-help (OR = 1.17). Among those experiencing high distress, adolescents' top reason for not adopting an online tool was a lack of perceived need (19.2%).

CONCLUSION

Adolescents' main barriers to DMHI adoption included a lack of perceived need, which may be explained by a lack of mental health literacy. Thoughtful marketing and dissemination efforts are needed to increase mental health awareness and normalize adoption of counseling services and DMHIs.

State of the Science: Using Digital Mental Health Interventions to Extend the Impact of Psychological Services

In recent years, digital mental health interventions (DMHIs) have emerged as a paradigm shift in care delivery that could expand the scale, efficiency, and effectiveness of psychological services. However, DMHI impact is constrained by issues related to limited reach, poor adoption, implementation barriers, and insufficient long-term maintenance. Organized by the Reach, Effectiveness, Adoption, Implementation, and Maintenance(RE-AIM) framework, this paper surveys the current state of DMHIs, highlighting research and practice gaps as well as potential strategies to move the field forward. Similarly, we discuss the role that emerging technologies and changes in the profession will play in shaping DMHIs in years to come. Finally, concrete and actionable steps to advance equity in the DMHI field are provided, with an emphasis on strategies to increase the representativeness of marginalized populations in DMHI research, the inclusion of these groups in the design and testing of DMHIs, and how to improve the contextual and cultural fit of DMHIs.

Describing the Framework for AI Tool Assessment in Mental Health and Applying It to a Generative AI Obsessive-Compulsive Disorder Platform: Tutorial

As artificial intelligence (AI) technologies occupy a bigger role in psychiatric and psychological care and become the object of increased research attention, industry investment, and public scrutiny, tools for evaluating their clinical, ethical, and user-centricity standards have become essential. In this paper, we first review the history of rating systems used to evaluate AI mental health interventions. We then describe the recently introduced Framework for AI Tool Assessment in Mental Health (FAITA-Mental Health), whose scoring system allows users to grade AI mental health platforms on key domains, including credibility, user experience, crisis management, user agency, health equity, and transparency. Finally, we demonstrate the use of FAITA-Mental Health scale by systematically applying it to OCD Coach, a generative AI tool readily available on the ChatGPT store and designed to help manage the symptoms of obsessive-compulsive disorder. The results offer insights into the utility and limitations of FAITA-Mental Health when applied to "real-world" generative AI platforms in the mental health space, suggesting that the framework effectively identifies key strengths and gaps in AI-driven mental health tools, particularly in areas such as credibility, user experience, and acute crisis management. The results also highlight the need for stringent standards to guide AI integration into mental health care in a manner that is not only effective but also safe and protective of the users' rights and welfare.

Provider and patient barriers and facilitators to integration of digital mental health applications in routine clinical care

BACKGROUND

The limited accessibility of mental healthcare providers highlights the need for innovative approaches to provide effective and efficient care. Digital mental health applications (DMHAs) can improve patient access to evidence-based treatments and reduce burden on the healthcare system. Here, we examined the provider and patient barriers and facilitators to integration of DMHAs in a healthcare system.

METHODS

Patients (n = 57) and providers (n = 100) were recruited from a large healthcare system over five months. Participants completed a survey assessing attitudes towards DMHAs, and perceived facilitators and barriers to adoption and utilization of DMHAs in mental healthcare.

RESULTS

DMHA credibility was a key facilitator for provider adoption, while usability and accessibility were identified as key facilitators for patient utilization. Provider barriers included patient cost/provider reimbursement, limited knowledge, perceived limits to credibility, patient outcome enhancement, and personalization of DMHAs for patient needs. Patients identified privacy concerns as the top barrier for using DMHAs.

LIMITATIONS

The self-report survey nature of this study, modest sample size, and majority of sample identifying as White and upper middle class make results subject to biases and limitations. Given the potential of DMHAs to address disparities in access to mental healthcare, more research is needed including populations who are at greatest risk.

CONCLUSIONS

Findings provide new insights to inform the development of intervention strategies to improve the integration of DMHAs within healthcare systems. Additional research examining key stakeholders at different levels of care is critical to address barriers, optimize facilitators, and develop roadmaps for best-practice use in healthcare systems.

mHealth Apps in the Digital Marketplace for Pediatric Patients With Cancer: Systematic Search and Analysis

Background

The substantial increase in smartphone ownership has led to a rise in mobile health (mHealth) app use. Developing tailored features through mHealth apps creates a pathway to address the health care needs of pediatric patients with cancer and their families who have complex care needs. However, few apps are designed specifically to integrate with pediatric cancer care.

Objective

This study reports a systematic search and analysis of mHealth apps available on the Apple App (iOS) and Google Play (Android) stores designed for pediatric cancer through a list of features that serve (1) patients, (2) caregivers, or (3) both audiences.

Methods

Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we reviewed apps for pediatric patients with cancer and caregivers available as of January 30, 2024. We searched the Apple App and Google Play stores with a list of keyword combinations focusing on pediatric cancer care. The inclusion criteria were (1) specifically apps targeted toward pediatric patients with cancer, their families, or both; (2) available in either app store; and (3) available in English. Apps were assessed using the Mobile Application Rating Scale (MARS). The MARS is a quality assessment for mHealth apps, including components of engagement, functionality, aesthetics, and informational quality (5-point Likert scale items-1: low and 5: high quality).

Results

In total, 22 apps were identified and 17 of those apps were available on both platforms. The most popular features (n=12) were resource sharing, symptom tracking, reminders, care team connections, journaling, community support, medication tracking, data visualizations, and appointment tracking. Features and interfaces were designed for caregivers (n=9) more frequently than the patients (n=7) while a subset of apps created options for both users (n=6). A total of 16 apps received positive reviews (mean 4.4, SD 0.59; Min=3.1, Max=5.0). A small subset (n=3) achieved over 5000 downloads; however, the majority (n=15) had fewer than 500. More than half (n=12) of the apps were not available in English. Apps requested access to a range of device functionalities to operate (mean 2.72, SD 3.13; Min=0, Max=10). Out of 22, a total of 17 apps were publicly accessible. The mean MARS scores for the apps ranged from 1.71 (SD 0.75) to 4.33 (SD 0.82). Overall, apps scored high on functionality (mean 3.72, SD 0.54) but low on engagement (mean 3.02, SD 0.93).

Conclusions

Our review highlights the promising yet underdeveloped potential of mHealth apps in pediatric oncology care, underscoring the need for more inclusive, comprehensive, and integrative digital health solutions. Future developments should actively involve key stakeholders from the pediatric oncology community, including patients, families, and health care professionals, to ensure the apps meet specific needs while addressing linguistic and cultural barriers.

Are Mobile Applications in Laryngology Designed for All Patients?

OBJECTIVES

Mobile applications (apps) are multiplying in laryngology, with little standardization of content, functionality, or accessibility. The purpose of this study is to evaluate the quality, functionality, health literacy, readability, accessibility, and inclusivity of laryngology mobile applications.

METHODS

Of the 3230 apps identified from the Apple and Google Play stores, 28 patient-facing apps met inclusion criteria. Apps were evaluated using validated scales assessing quality and functionality: the Mobile App Rating Scale (MARS) and the Institute for Healthcare Informatics App Functionality Scale. The Clear Communication Index (CDC) Institute of Medicine Strategies for Creating Health Literate Mobile Applications, and Patient Education Materials Assessment Tool (PEMAT) were used to evaluate apps health literacy level. Readability was assessed using established readability formulas. Apps were evaluated for language, accessibility features, and representation of a diverse population.

RESULTS

Twenty-six apps (92%) had adequate quality (MARS score > 3). The mean PEMAT score was 89% for actionability and 86% for understandability. On average, apps utilized 25/33 health literate strategies. Twenty-two apps (79%) did not pass the CDC index threshold of 90% for health literacy. Twenty-four app descriptions (86%) were above an 8th grade reading level. Only 4 apps (14%) showed diverse representation, 3 (11%) had non-English language functions, and 2 (7%) offered subtitles. Inter-rater reliability for MARS was adequate (CA-ICC = 0.715).

CONCLUSION

While most apps scored well in quality and functionality, many laryngology apps did not meet standards for health literacy. Most apps were written at a reading level above the national average, lacked accessibility features, and did not represent diverse populations. Laryngoscope, 133:1540-1549, 2023.

Mixed-methods study of development and design needs for CommitFit, an adolescent mHealth App

Background

Adolescent obesity remains a significant public health issue within the United States. Mobile application technology growth and popularity offer new opportunities for research and health improvement. The development of a consolidated mobile health application (mHealth app) for adolescents on these platforms has the potential to improve health outcomes. Thus, this study describes the co-development process working with adolescent users. The aims are as follows: (I) to explore the visual design and functional requirements when developing the CommitFit mHealth app, (II) to uncover the gamification techniques that incentivize adolescents to set and achieve healthy lifestyle goals, and (III) to identify adolescent expectations when using the CommitFit mHealth application.

Methods

In this mixed method study, we used semi-structured interviews/task analysis and surveys of adolescents (aged 13 to 15 years) to understand their user requirements and design preferences during the development of the CommitFit mHealth app. Interviews were conducted online, via Zoom. The survey included the user design industry-standard System Usability Scale (SUS) paired with a supplemental questionnaire on the specific features and functionalities of the CommitFit mHealth app. Participants were recruited from the electronic health record from the University of Missouri Healthcare system.

Results

Ten adolescents, aged 13 to 15 years (average of 13.6 years), were interviewed and surveyed to explore adolescent preferences with visual app design and functionality. Our inductive thematic analysis found that adolescents preferred colorful, user-friendly interfaces paired with gamification in the CommitFit mHealth app. Our analysis of SUS survey data validated our user-centered and human-system design and adolescents confirmed their design, feature, and functionality preferences. Overall, adolescent users were able to confirm their preference to have educational resources, goal recommendations, leaderboard, points, reminders, and an avatar in the app.

Conclusions

Adolescent feedback is crucial in the successful development of our adolescent-targeted mHealth app, CommitFit. Adolescents preferred vibrant colors, easy-to-use interface, gamification, customizable and personalized, and mature graphics. Adolescents were especially motivated by gamification techniques to maintain their interest in the application and their health behavior goals. Additional research is now needed to explore the clinical effectiveness of the CommitFit mHealth app, as a health and lifestyle intervention.

Exploring how informed mental health app selection may impact user engagement and satisfaction

The prevalence of mental health app use by people suffering from mental health disorders is rapidly growing. The integration of mental health apps shows promise in increasing the accessibility and quality of treatment. However, a lack of continued engagement is one of the significant challenges of such implementation. In response, the M-health Index and Navigation Database (MIND)- derived from the American Psychiatric Association's app evaluation framework- was created to support patient autonomy and enhance engagement. This study aimed to identify factors influencing engagement with mental health apps and explore how MIND may affect user engagement around selected apps. We conducted a longitudinal online survey over six weeks after participants were instructed to find mental health apps using MIND. The survey included demographic information, technology usage, access to healthcare, app selection information, System Usability Scale, the Digital Working Alliance Inventory, and the General Self-Efficacy Scale questions. Quantitative analysis was performed to analyze the data. A total of 321 surveys were completed (178 at the initial, 90 at the 2-week mark, and 53 at the 6-week mark). The most influential factors when choosing mental health apps included cost (76%), condition supported by the app (59%), and app features offered (51%), while privacy and clinical foundation to support app claims were among the least selected filters. The top ten apps selected by participants were analyzed for engagement. Rates of engagement among the top-ten apps decreased by 43% from the initial to week two and 22% from week two to week six on average. In the context of overall low engagement with mental health apps, implementation of mental health app databases like MIND can play an essential role in maintaining higher engagement and satisfaction. Together, this study offers early data on how educational approaches like MIND may help bolster mental health apps engagement.

Usability Testing an mHealth Program with Tailored Motivational Messages for Early Adolescents

Obesity among children is a rising concern throughout the world. In the U.S., rates of childhood obesity are the highest among children from diverse and economically disadvantaged households. Obesity in adolescence increases the risk of negative physical and psychological health consequences. Mobile-app-based health interventions have been found to be an effective tool to encourage children to adopt a healthier living style. A novel mobile app prototype was developed for early adolescents to communicate with and engage them interactively about healthy eating and active living. To test the app's usability, students from a U.S. middle school, with a majority of children from low-income families, were recruited to use the app and report their feedback. The usability testing results confirmed that the app was equally well received by participants of different genders, normal weight versus overweight/obesity, and amounts of screen time. Study participants also provided overwhelming positive feedback for the embedded and tailored motivational messages that encourage healthy eating and active living. The conceptualization of the app prototype was guided by the self-determination theory, social cognitive theory, and priming theory, in addition to incorporating evidence-based obesity prevention principles. This prototype, hence, provides a valid platform for building theory-based behavioral interventions.

Recommendations for Providing Medication Adherence Support After Pediatric Hematopoietic Stem Cell Transplant: Caregivers' Lived Experience

Background. Medication adherence is challenging after pediatric hematopoietic stem cell transplant (HCT), particularly after hospital discharge. Post-HCT medication adherence is important to manage morbidity and mortality risk. Designing interventions that are effective and acceptable to caregivers is key to improving post-HCT medication adherence. This study aimed to characterize caregiver preferences about medication adherence support from their child's medical team. Methods. Twenty-nine caregivers of children who received an HCT completed semi-structured qualitative interviews about their experience with, and recommendations for improving, medication adherence support provided by the medical team. Twenty-two caregivers also completed a card sort task to clarify the content of received support and caregiver recommendations for future HCT families. Results. Thematic analysis revealed eight themes grouped into two categories: Communication Is Key and Practical Medication Adherence Support. Caregivers emphasized the importance of communication in helping them manage their child's outpatient medications and provided suggestions to further strengthen communication. The types of practical medication adherence support used varied across caregivers highlighting the importance of tailoring adherence support to each family's needs. Caregivers also identified all the domains as potentially helpful for other families. Discussion. Findings suggest that caregivers prefer that efforts to improve outpatient medication adherence post-HCT prioritize the medical team initiating frequent, clear, and open communication about medications, and provide educational materials on adherence (e.g., handouts). Results also indicate that practical medication adherence supports should be offered based on family preferences but that families may particularly appreciate tips about addressing medication challenges based on other caregivers' lived experience.

mHealth Technology Design and Evaluation for Early Childhood Health Promotion: Systematic Literature Review

BACKGROUND

Recent increases in smartphone ownership among underserved populations have inspired researchers in medicine, computing, and health informatics to design and evaluate mobile health (mHealth) interventions, specifically for those supporting child development and growth. Although these interventions demonstrate possible effectiveness at larger scales, few of these interventions are evaluated to address racial disparities and health equity, which are known factors that affect relevance, uptake, and adherence in target populations.

OBJECTIVE

In this study, we aimed to identify and document the current design and evaluation practices of mHealth technologies that promote early childhood health, with a specific focus on opportunities for those processes to address health disparities and health equity.

METHODS

We completed a systematic literature review of studies that design and evaluate mHealth interventions for early childhood health promotion. We then analyzed these studies to identify opportunities to address racial disparities in early- and late-stage processes and to understand the potential efficacy of these interventions.

RESULTS

Across the literature from medical, computing, and health informatics fields, we identified 15 articles that presented a design or evaluation of a parent-facing health intervention. We found that using mobile-based systems to deliver health interventions was generally well accepted by parents of children aged <5 years. We also found that, when measured, parenting knowledge of early childhood health topics and confidence to engage in health-promoting behaviors improved. Design and evaluation methods held internal consistency within disciplines (eg, experimental study designs were the most prevalent in medical literature, while computing researchers used user-centered design methods in computing fields). However, there is little consistency in design or evaluation methods across fields.

CONCLUSIONS

To support more interventions with a comprehensive design and evaluation process, we recommend attention to design at the intervention (eg, reporting content sources) and system level; interdisciplinary collaboration in early childhood health intervention development can lead to large-scale deployment and success among populations.

TRIAL REGISTRATION

PROSPERO CRD42022359797; https://tinyurl.com/586nx9a2.

mHealth Uses and Opportunities for Teens from Communities with High Health Disparities: A Mixed-Methods Study

Despite widespread access to smartphones, teens from communities facing significant behavioral health disparities typically have low mobile health (mHealth) engagement. The purpose of this study was to characterize teen and caregiver perspectives about smartphone use and access, mHealth, and how mHealth could address teens' behavioral health needs during the pandemic and beyond. Remote recruitment and methodologies were used to engage 17 teens (M age = 15.9 ± 0.9) and 10 caregivers living in urban communities with significant socioeconomic and health disparities. Participants completed a focus group or interview session (based on preference) and self-report questionnaires (e.g., behavioral health history, pandemic impacts, technology use). Qualitative and quantitative data were analyzed using thematic and descriptive analyses, respectively. Both quantitative and qualitative data indicated relevant behavioral health concerns for teens and their families, impacts from the pandemic, and frequent smartphone use. Primary teen and caregiver themes included (1) health and wellness concerns, (2) barriers, (3) use of smartphones, (4) impacts of smartphones, and (5) opinions/suggestions for mHealth. This multi-method and multi-informant study highlighted the lived experiences of teens from marginalized communities and offered key insights to increase the acceptability and real-world engagement of mHealth tools. To address barriers to care for this population beyond the pandemic, clear messaging must be used for mHealth tools (e.g., data privacy, expectations of use). These findings testify to the importance of collaboration with teens and caregivers from communities facing large health disparities in future mHealth design, development, and deployment.

Utility, barriers and facilitators to the use of connected health to support families impacted by paediatric cancer: a qualitative analysis

AIM

As healthcare systems are increasingly burdened, the efficiencies and cost savings offered by connected health (CH, i.e. two-way communicative healthcare technologies such as eHealth or mHealth) present an attractive solution for supporting families impacted by cancer. More research is required, however, to examine attitudes towards CH to better facilitate its use in practice. This study seeks to examine the utility, barriers and facilitators of CH use for families affected by paediatric cancer living in Ireland.

METHODS

Healthcare professionals (n = 5) and parents of children with cancer (n = 7) completed semi-structured interviews on their experiences of and attitudes to CH via Microsoft Teams. A reflexive thematic approach to analysis was employed.

RESULTS

CH was perceived to provide support for a number of current needs with themes of 'shifting responsibilities', 'individualisation of care' and 'knowledge as power'. Through facilitating communication, information sharing and monitoring of child health, CH was perceived to support decreased parental burden and increased parental control, with positive child outcomes thought likely. Perceived barriers and facilitators to the use of CH included the 'importance of trust', 'pace of change' and 'access'.

CONCLUSION

While results suggest an acceptance of CH across key stakeholders, barriers and facilitators should be considered to support effective implementation. While further analysis of the efficacy of CH to support families impacted by paediatric cancer is needed, these findings highlight key areas where CH may be effectively employed.

Associations and Disease-Disease Interactions of COVID-19 with Congenital and Genetic Disorders: A Comprehensive Review

Since December 2019, the COVID-19 pandemic, which originated in Wuhan, China, has resulted in over six million deaths worldwide. Millions of people who survived this SARS-CoV-2 infection show a number of post-COVID complications. Although, the comorbid conditions and post-COVID complexities are to some extent well reviewed and known, the impact of COVID-19 on pre-existing congenital anomalies and genetic diseases are only documented in isolated case reports and case series, so far. In the present review, we analyzed the PubMed indexed literature published between December 2019 and January 2022 to understand this relationship from various points of view, such as susceptibility, severity and heritability. Based on our knowledge, this is the first comprehensive review on COVID-19 and its associations with various congenital anomalies and genetic diseases. According to reported studies, some congenital disorders present high-risk for developing severe COVID-19 since these disorders already include some comorbidities related to the structure and function of the respiratory and cardiovascular systems, leading to severe pneumonia. Other congenital disorders rather cause psychological burdens to patients and are not considered high-risk for the development of severe COVID-19 infection.

An overview of and recommendations for more accessible digital mental health services

Mental health concerns are common, and various evidence-based interventions for mental health conditions have been developed. However, many people have difficulty accessing appropriate mental health care and this has been exacerbated by the COVID-19 pandemic. Digital mental health services, such as those delivered by mobile phone or web-based platforms, offer the possibility of expanding the reach and accessibility of mental health care. To achieve this goal, digital mental health interventions and plans for their implementation must be designed with the end users in mind. In this Review, we describe the evidence base for digital mental health interventions across various diagnoses and treatment targets. Then, we explain the different formats for digital mental health intervention delivery, and offer considerations for their use across key age groups. We discuss the role that the COVID-19 pandemic has played in emphasizing the value of these interventions, and offer considerations for ensuring equity in access to digital mental health interventions among diverse populations. As healthcare providers continue to embrace the role that technology can play in broadening access to care, the design and implementation of digital mental healthcare solutions must be carefully considered to maximize their effectiveness and accessibility.

Digitized thought records: a practitioner-focused review of cognitive restructuring apps

Mental health (MH) apps can be used as adjunctive tools in traditional face-to-face therapy to help implement components of evidence-based treatments. However, practitioners interested in using MH apps face a variety of challenges, including knowing which apps would be appropriate to use. Although some resources are available to help practitioners identify apps, granular analyses of how faithfully specific clinical skills are represented in apps are lacking. This study aimed to conduct a review and analysis of MH apps containing a core component of cognitive behaviour therapy (CBT) – cognitive restructuring (CR). A keyword search for apps providing CR functionality on the Apple App and Android Google Play stores yielded 246 apps after removal of duplicates, which was further reduced to 15 apps following verification of a CR component and application of other inclusionary/exclusionary criteria. Apps were coded based on their inclusion of core elements of CR, and general app features including app content, interoperability/data sharing, professional involvement, ethics, and data safeguards. They were also rated on user experience as assessed by the Mobile App Rating Scale (MARS). Whereas a majority of the CR apps include most core CR elements, they vary considerably with respect to more granular sub-elements of CR (e.g. rating the intensity of emotions), other general app features, and user experience (average MARS = 3.53, range from 2.30 to 4.58). Specific apps that fared best with respect to CR fidelity and user experience dimensions are highlighted, and implications of findings for clinicians, researchers and app developers are discussed.

Key learning aims

(1)

The Application of e-Mental Health in Response to COVID-19: Scoping Review and Bibliometric Analysis

BACKGROUND

The COVID-19 pandemic and its mitigation measures and impacts, such as shelter-in-place orders, social isolation, restrictions on freedoms, unemployment, financial insecurity, and disrupted routines, have led to declines in mental health worldwide and concomitant escalating demands for mental health services. Under the circumstances, electronic mental health (e-mental health) programs and services have rapidly become the "new normal."

OBJECTIVE

The aim of this study was to assess key characteristics and evidence gaps in the e-mental health literature published in relation to the COVID-19 pandemic via a scoping review and bibliometric analysis.

METHODS

We conducted a search of four academic databases (ie, MEDLINE, Embase, PsycInfo, and CINAHL) for documents published from December 31, 2019, to March 31, 2021, using keywords for e-mental health and COVID-19. Article information was extracted that was relevant to the review objective, including journal, type of article, keywords, focus, and corresponding author. Information was synthesized by coding these attributes and was then summarized through descriptive statistics and narrative techniques. Article influence was examined from Altmetric and CiteScore data, and a network analysis was conducted on article keywords.

RESULTS

A total of 356 publications were included in the review. Articles on e-mental health quickly thrived early in the pandemic, with most articles being nonempirical, chiefly commentaries or opinions (n=225, 63.2%). Empirical publications emerged later and became more frequent as the pandemic progressed. The United States contributed the most articles (n=160, 44.9%), though a notable number came from middle-income countries (n=59, 16.6%). Articles were spread across 165 journals and had above-average influence (ie, almost half of the articles were in the top 25% of output scores by Altmetric, and the average CiteScore across articles was 4.22). The network analysis of author-supplied keywords identified key topic areas, including specific mental disorders, eHealth modalities, issues and challenges, and populations of interest. These were further explored via full-text analysis. Applications of e-mental health during the pandemic overcame, or were influenced by, system, service, technology, provider, and patient factors.

CONCLUSIONS

COVID-19 has accelerated applications of e-mental health. Further research is needed to support the implementation of e-mental health across system and service infrastructures, alongside evidence of the relative effectiveness of e-mental health in comparison to traditional modes of care.

Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks

Mental health applications or apps are a promising approach to reduce the pervasive unmet mental health need observed among marginalized groups. However, these groups face unique challenges to engage in and benefit from these interventions, and apps that consider issues of diversity, equity, and inclusion (DEI) may be better positioned to reach them. App evaluation frameworks emerge as crucial tools for researchers, clinicians, and users to select evidence-based apps. Nevertheless, it is unclear the extent to which existing assessment tools capture DEI factors. The present scoping review identified 68 studies that employed one or more assessment tools to evaluate a mental health app, leading to 44 unique app evaluation frameworks. Results showed that most frameworks were developed after 2015, and only 58% of them considered at least one DEI criterion. Frameworks that performed exceptionally well were those that combined multiple standardized and validated measures. This lack of consideration for DEI variables may limit the ability of app-based interventions to serve marginalized communities, or even worse, create new disparities. Therefore, we provide recommendations to improve current app evaluation frameworks' cultural robustness and clinical utility, maximizing their effectiveness when working with individuals from marginalized communities.

"We Are Anxious Every Day": COVID-19 Impacts on Youth with Spina Bifida

OBJECTIVE

This study examined the impact of the COVID-19 pandemic on a national sample of adolescents and young adults (AYA) with spina bifida (SB) and parents of youth with SB.

METHODS

AYA with SB (15-25; n = 298) and parents of children with SB (n = 200) were recruited to complete an anonymous, online survey in English or Spanish. Participants provided information about demographic and condition characteristics, as well as their technology access and use for behavioral health care. They also completed the COVID-19 Exposure and Family Impact Survey (CEFIS), which includes Exposure, Impact, and Distress subscales. Exploratory correlations and t-tests were used to examine potential associations between CEFIS scores and demographic, medical, and access characteristics. Qualitative data from the CEFIS were analyzed using thematic analysis.

RESULTS

Scores on the Exposure, Impact, and Distress subscales demonstrated significant variability. Demographic associations with Exposure differed for those with higher Impact and Distress (e.g., White, non-Hispanic/Latino AYA reported higher rates of exposure [p = .001]; AYA who identified with a minoritized racial/ethnic identity reported greater impact [p ≤ .03]). Impacts to mental and behavioral health (n = 44), interference with medical care (n = 28), and interpersonal challenges (n = 27) were the most commonly occurring qualitative themes.

CONCLUSIONS

The current findings implicate differential impacts to individuals with SB and their families based on demographic, medical, and systemic factors (e.g., minoritized status). Recommendations to support families with SB and other pediatric conditions are made.

Using mHealth Applications to Promote Self-Managed Health Behaviors Among Teens

THEORETICAL PRINCIPLES

As technology use increasingly expands, the opportunity to capitalize on it for healthcare education, monitoring, and assessment has grown rapidly, especially among adolescent patients. As apps are developed, consideration should be given to self-management theory concepts.

PHENOMENA ADDRESSED

The proliferation of mobile health (mHealth) applications allows adolescents to access healthcare information in new, innovative ways. Many health applications focus on health promotion, fitness, and nutrition and others help persons with chronic disease. This article offers a compelling case for incorporating mHealth into teen healthcare by reviewing current data on teens' technology use, showing how mHealth aligns with self-management theory concepts, and offering a case scenario on mHealth-enhanced self-management care.

RESEARCH LINKAGES

The ability to combine accurate and immediate healthcare information with continual social support could radically improve teen's self-management behaviors, especially when mHealth apps use connectivity, a feedback loop, and concepts known to enhance self-management behaviors.

Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health

Within the healthcare environment, mobile health (mHealth) applications (apps) are becoming more and more important. The number of new mHealth apps has risen steadily in the last years. Especially the COVID-19 pandemic has led to an enormous amount of app releases. In most countries, mHealth applications have to be compliant with several regulatory aspects to be declared a “medical app”. However, the latest applicable medical device regulation (MDR) does not provide more details on the requirements for mHealth applications. When developing a medical app, it is essential that all contributors in an interdisciplinary team—especially software engineers—are aware of the specific regulatory requirements beforehand. The development process, however, should not be stalled due to integration of the MDR. Therefore, a developing framework that includes these aspects is required to facilitate a reliable and quick development process. The paper at hand introduces the creation of such a framework on the basis of the Corona Health and Corona Check apps. The relevant regulatory guidelines are listed and summarized as a guidance for medical app developments during the pandemic and beyond. In particular, the important stages and challenges faced that emerged during the entire development process are highlighted.

The Potential of mHealth as a Game Changer for the Management of Sickle Cell Disease in India

Sickle cell disease (SCD) is a chronic genetic disease that requires lifelong therapy and monitoring. Low drug adherence and poor monitoring may lead to an increase in morbidities and low quality of life. In the era of digital technology, various mobile health (mHealth) apps are being tested for their potential in increasing drug adherence in patients with SCD. We herewith discuss the applicability and feasibility of these mHealth apps for the management of SCD in India.