Mobile Technologies for Supporting Mental Health in Youths: Scoping Review of Effectiveness, Limitations, and Inclusivity.

BACKGROUND: Over the past decade, there has been growing support for the use of mobile health (mHealth) technologies to improve the availability of mental health interventions. While mHealth is a promising tool for improving access to interventions, research on the effectiveness and efficacy of mHealth apps for youths is limited, particularly for underrepresented populations, including youths of color and economically marginalized youths. OBJECTIVE: This scoping review study sought to evaluate the following research questions: (1) What is the extent of the current literature on mHealth apps that provide intervention for mental health problems in children and adolescents? (2) What is known from the existing literature about the effectiveness or efficacy of delivering mental health services via mHealth apps? (3) What are the gaps in the knowledge base in the fields of technology and mental health? (4) Do the reviewed mHealth apps address issues of cultural sensitivity or have they been tested with underrepresented groups (ie, youths of color or economically marginalized groups)? METHODS: An electronic database search was conducted using relevant search terms. Seven independent reviewers screened identified studies, including title and abstract review to determine if studies met the following inclusion criteria: (1) targeted samples with mental health symptomology or disorders, (2) studied youth participants aged 6-17 years, and (3) examined the use of a mobile app-based platform for intervention. Relevant studies were subjected to full-text review to extract and chart relevant data based on a priori research questions. RESULTS: The initial database search yielded 304 papers published from 2010 to 2021. After screening and selection, the final review included 10 papers on the effectiveness and efficacy of mental health intervention apps for youths aged 8 to 17 years. Identified apps targeted a broad range of mental health challenges in youths (ie, depression, self-harm, autism spectrum disorder, anxiety, and obsessive-compulsive disorder). Results identified only a small number of studies suggesting that current effectiveness and efficacy research in this area are limited. While some studies provided general support for the effectiveness of mHealth apps in improving mental health outcomes in youths, several notable limitations were present across the literature, reducing the generalizability of findings. Additionally, considerations around racial, ethnic, and socioeconomic diversity were scarce across studies. CONCLUSIONS: Although some studies cited in this scoping review provide support for the effectiveness and efficacy of mHealth apps targeting mental health concerns in youths, the overall body of literature remains quite limited. Moreover, mHealth apps expressly developed to be culturally responsive are almost nonexistent. Further efforts are needed to recruit youths who are typically underrepresented in research and invite stakeholder participation and collaborative input in the early stages of the mHealth app development process.

Effectively Supporting Youth with Chronic Illness in Schools: External Partnerships and Training Recommendations.

Across Western countries, approximately 15% to 20% of school-aged children and adolescents have a health-related disorder, with incidence rates of childhood chronic health conditions (CHCs) increasing. This contribution comprehensively reviews disease-level, school-level, and systems-level issues related to effectively supporting children with CHCs succeed from both psychosocial and educational perspectives. This article also delineates training needs as they pertain to graduate preparation and/or professional development to equip school personnel to appropriately address students' needs. The article concludes with recommendations for evidence-based prevention and intervention strategies and potential avenues for interdisciplinary collaboration and models of coordinated care for these medically compromised youth.

Integrating Behavioral Health in Primary Care: Lessons from Interdisciplinary Collaboration in School Mental Health.

Integrating behavioral health care into pediatric primary care (PPC) settings can increase access to behavioral health promotion services and treatment. Efficient models for integrated PPC are emerging. Recent reviews call for integrated PPC research to better identify efficient teaming and processes, particularly in areas of building integrated PPC team member capacity and adopting practices that promote "upstream" behavioral wellness specific to community needs. Research in integrating behavioral health in schools has identified key practices relevant to these gaps in integrated primary care (IPC) research. This article discusses possibilities to apply findings from integrated school behavioral health research to IPC settings.

Stakeholder intention to engage in fidelity measurement methods in community mental health settings: A mixed methods study.

Background: The current gold standard for measuring fidelity (specifically, adherence) to cognitive behavioral therapy (CBT) is direct observation, a costly, resource-intensive practice that is not feasible for many community organizations to implement regularly. Recent research indicates that behavioral rehearsal (i.e., role-play between clinician and individual with regard to session delivery) and chart-stimulated recall (i.e., brief structured interview between clinician and individual about what they did in session; clinicians use the client chart to prompt memory) may provide accurate and affordable alternatives for measuring adherence to CBT in such settings, with behavioral rehearsal yielding greater correspondence with direct observation. Methods: Drawing on established causal theories from social psychology and leading implementation science frameworks, this study evaluates stakeholders' intention to use behavioral rehearsal and chart-stimulated recall. Specifically, we measured attitudes, self-efficacy, and subjective norms toward using each, and compared these factors across the two methods. We also examined the relationship between attitudes, self-efficacy, subjective norms, and intention to use each method. Finally, using an integrated approach we asked stakeholders to discuss their perception of contextual factors that may influence beliefs about using each method. These data were collected from community-based supervisors (n = 17) and clinicians (n = 66). Results: Quantitative analyses suggest moderately strong intention to use both methods across stakeholders. There were no differences in supervisors' or clinicians' attitudes, self-efficacy, subjective norms, or intention across methods. More positive attitudes and greater reported subjective norms were associated with greater reported intention to use either measure. Qualitative analyses identified participants' specific beliefs about using each fidelity measure in their organization, and results were organized using the Consolidated Framework for Implementation Research. Conclusions: Strategies are warranted to overcome or minimize potential barriers to using fidelity measurement methods and to further increase the strength of intention to use them.Plain Language Summary: The best way to measure fidelity, or how closely a clinician follows the protocol, to Cognitive Behavioral Therapy (CBT) is watching the session. This is an expensive practice that is not feasible for many community organizations to do regularly. Recent research indicates that behavioral rehearsal, or a role-play between the clinician and individual with regard to session delivery, and chart-stimulated recall, or a brief discussion between an individual and the clinician about what they did in session with the clinician having access to the chart to help them remember, may provide accurate and affordable alternatives for measuring fidelity to CBT. We just completed a study demonstrating that both methods are promising, with behavioral rehearsal offering scores that are the most similar to watching the session. Drawing on established theories from social psychology and leading implementation science frameworks, this study evaluates future supervisor and clinician motivation to use these fidelity measurement methods. Specifically, we measured supervisor (n = 17) and clinician (n = 66) attitudes, norms, self-efficacy, intentions, and anticipated barriers and facilitators to using each of these fidelity measurement tools. Quantitative and qualitative analyses suggest similar intention to use both methods, and concerns about barriers to using each method. Further research is warranted to minimize the burden associated with implementing fidelity measurement methods and deploying strategies to increase use.

An open resource for transdiagnostic research in pediatric mental health and learning disorders.

Technological and methodological innovations are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, ambitions to achieve clinically useful tools to assist in the diagnosis and management of mental health and learning disorders are gaining momentum. To this end, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. The Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank of data from 10,000 New York area participants (ages 5-21). The HBN Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle phenotypes, as well as multimodal brain imaging (resting and naturalistic viewing fMRI, diffusion MRI, morphometric MRI), electroencephalography, eye-tracking, voice and video recordings, genetics and actigraphy. Here, we present the rationale, design and implementation of HBN protocols. We describe the first data release (n=664) and the potential of the biobank to advance related areas (e.g., biophysical modeling, voice analysis).