The Economic Benefits of Mobile Apps for Mental Health and Telepsychiatry Services When Used by Adolescents

The efficacy of mobile applications for reducing depression in adolescents and young adults: A meta-analysis of randomized control trials

BACKGROUND

Mobile applications for mental health have the potential to aid people with mental health disorders, especially depression, by providing them with tools and coping mechanisms. Adolescents and young adults, being at risk of depressive symptoms and leading mobile users, are among the main targets of using mobile applications to alleviate symptoms.

OBJECTIVE

This study aimed to evaluate the impact of mobile application-based psychological interventions in reducing depression symptoms in adolescents and young adults compared to those not exposed to the intervention.

METHODS

We conducted a meta-analysis focusing on mobile applications for reducing depressive symptoms. We searched two databases: MEDLINE and EMBASE and included randomized controlled trials conducted in English among participants aged 18-35 years old who were assessed for depressive symptoms using a validated screening measure and used mobile applications-based psychological interventions. Two of six independent reviewers conducted study selection, data extraction, and bias assessment. A pooled mean standardized difference (Cohen's d) and 95% CI were calculated using random-effects meta-analysis. Risk of bias was assessed using I2 statistics and forest plot. Egger's test was used for assessing publication bias.

RESULTS

After screening 740 references, we identified 12 trials with 1869 participants, with a mean age of participants ranging from 14.70 to 25.1 years. The interventions ranged from cognitive behavioral therapy (CBT)-based mobile apps to interactive story-telling apps and apps delivering a mix of CBT, interpersonal psychotherapy for adolescents, and dialectical behavior therapy elements. Control groups included information-only, waitlist, no intervention, and treatment as usual. Seven studies used Patient Health Questionnaire-9 (PHQ-9) to assess the severity of depressive symptoms, while the other five used different scales. There was no evidence of publication bias (p = 0.325). The mobile applications reduced depression score by 0.08 units of standardized difference more than the control, with a 95% CI of -0.19 to 0.03 (p = 0.294, I2 = 15.4%) using standardized mean difference (SMD) as the effect estimate. In a sensitivity analysis including only studies that used PHQ-9, we found a similar trend, SMD -0.72 (95%CI -1.48 to 0.03). However, both findings were not significant.

CONCLUSIONS

Current evidence is insufficient to support mobile applications to relieve depression symptoms in adolescents and young adults. Further trials with larger sample size are needed to confirm our findings of a positive trend. With emerging technologies and the high exposure of apps in this population, mobile applications for depression hold promise for the future of treatment and awareness of mental health disorders in this population.

A mixed methods analysis of existing assessment and evaluation tools (AETs) for mental health applications

Introduction

Mental health Applications (MH Apps) can potentially improve access to high-quality mental health care. However, the recent rapid expansion of MH Apps has created growing concern regarding their safety and effectiveness, leading to the development of AETs (Assessment and Evaluation Tools) to help guide users. This article provides a critical, mixed methods analysis of existing AETs for MH Apps by reviewing the criteria used to evaluate MH Apps and assessing their effectiveness as evaluation tools.

Methods

To identify relevant AETs, gray and scholarly literature were located through stakeholder consultation, Internet searching via Google and a literature search of bibliographic databases Medline, APA PsycInfo, and LISTA. Materials in English that provided a tool or method to evaluate MH Apps and were published from January 1, 2000, to January 26, 2021 were considered for inclusion.

Results

Thirteen relevant AETs targeted for MH Apps met the inclusion criteria. The qualitative analysis of AETs and their evaluation criteria revealed that despite purporting to focus on MH Apps, the included AETs did not contain criteria that made them more specific to MH Apps than general health applications. There appeared to be very little agreed-upon terminology in this field, and the focus of selection criteria in AETs is often IT-related, with a lesser focus on clinical issues, equity, and scientific evidence. The quality of AETs was quantitatively assessed using the AGREE II, a standardized tool for evaluating assessment guidelines. Three out of 13 AETs were deemed 'recommended' using the AGREE II.

Discussion

There is a need for further improvements to existing AETs. To realize the full potential of MH Apps and reduce stakeholders' concerns, AETs must be developed within the current laws and governmental health policies, be specific to mental health, be feasible to implement and be supported by rigorous research methodology, medical education, and public awareness.

Telepsychiatry in the Treatment of Major Depressive Disorders

This chapter explores the transformative role of telepsychiatry in managing major depressive disorders (MDD). Traversing geographical barriers and reducing stigma, this innovative branch of telemedicine leverages digital platforms to deliver effective psychiatric care. We investigate the evolution of telepsychiatry, examining its diverse interventions such as videoconferencing-based psychotherapy, medication management, and mobile applications. While offering significant advantages like increased accessibility, cost-effectiveness, and improved patient engagement, challenges in telepsychiatry include technological barriers, privacy concerns, ethical and legal considerations, and digital literacy gaps. Looking forward, emerging technologies like virtual reality, artificial intelligence, and precision medicine hold immense potential to personalize and enhance treatment effectiveness. Recognizing its limitations and advocating for equitable access, this chapter underscores telepsychiatry's power to revolutionize MDD treatment, making quality mental healthcare a reality for all.

Self-Guided Digital Intervention for Depression in Adolescents: Feasibility and Preliminary Efficacy Study

BACKGROUND

Depression in adolescents is a large and growing problem; however, access to effective mental health care continues to be a challenge. Digitally based interventions may serve to bridge this access gap for adolescents in need of care. Digital interventions that deliver components of cognitive behavioral therapy (CBT) have been shown to reduce symptoms of depression, and virtual reality (VR) may be a promising adjunctive component. However, research on these types of treatments in adolescents and young adults is limited.

OBJECTIVE

This study aims to evaluate the feasibility, acceptability, and preliminary efficacy of Spark (v1.0), a 5-week, self-guided, CBT-based digital program using a mobile app and VR experiences to target symptoms of depression in adolescents.

METHODS

A single-arm, open-label study of the Spark program was conducted with a community sample of 30 adolescents and young adults aged 12 to 21 years with self-reported moderate to severe depression symptoms. Participants completed a weekly depression assessment (Patient Health Questionnaire-8) in the app during the 5-week intervention period as well as web-based baseline, postintervention, and 1-month follow-up self-report assessments. The participants also completed a qualitative postintervention interview. For participants aged <18 years, caregivers completed assessments at baseline and postintervention time points. Feasibility outcomes included recruitment rate (the proportion of participants who enrolled in the study divided by the total number of participants screened for eligibility) and retention rate (the proportion of participants who completed postintervention assessments divided by the total number of participants who received the intervention). Acceptability outcomes included engagement with the program and quantitative and qualitative feedback about the program. Preliminary efficacy was evaluated based on the Patient Health Questionnaire-8.

RESULTS

The study recruitment (31/66, 47%) and retention (29/30, 97%) rates were high. Participants provided higher ratings for the ease of use of the Spark program (8.76 out of 10) and their enjoyment of both the mobile app (7.00 out of 10) and VR components (7.48 out of 10) of the program, whereas they provided lower ratings for the program's ability to improve mood (4.38 out of 10) or fit into their daily routines (5.69 out of 10). We observed a clinically and statistically significant reduction in depression scores at postintervention (mean difference 5.36; P<.001) and 1-month follow-up (mean difference 6.44; P<.001) time points.

CONCLUSIONS

The Spark program was found to be a feasible and acceptable way to deliver a self-guided CBT-focused intervention to adolescents and young adults with symptoms of depression. Preliminary data also indicated that the Spark program reduced the symptoms of depression in adolescents and young adults. Future studies should evaluate the efficacy of this intervention in an adequately powered randomized controlled trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04165681; https://classic.clinicaltrials.gov/ct2/show/NCT04165681.

Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method Approaches

BACKGROUND

COVID-19 mitigation protocols, enacted to control the pandemic, have also been shown to have a negative impact on mental health, including the mental health of adolescents. The threat of being infected by SARS-CoV-2 and substantial changes in lifestyle, including limited social interaction due to stay-at-home orders, led to loneliness as well as depressive symptoms. However, offline psychological assistance is restricted, as psychologists are bounded by mitigation protocols. Further, not all adolescents' guardians are open to their children attending or have the means to pay for psychological service; thus, adolescents remain untreated. Having a mobile health (mHealth) app for mental health that uses monitoring, provides social networks, and delivers psychoeducation may provide a solution, especially in countries that have limited health facilities and mental health workers.

OBJECTIVE

This study aimed to design an mHealth app to help prevent and monitor depression in adolescents. The design of this mHealth app was carried out as a high-fidelity prototype.

METHODS

We used a design science research (DSR) methodology with 3 iterations and 8 golden rule guidelines. The first iteration used interviews, and the second and third iterations used mixed method approaches. The DSR stages include the following: (1) identify the problem; (2) define the solution; (3) define the solution objective; (4) develop, demonstrate, and evaluate the solution; and (5) communicate the solution. This study involved students and medical experts.

RESULTS

The first iteration resulted in a wireframe and prototype for the next iteration. The second iteration resulted in a System Usability Scale score of 67.27, indicating a good fit. In the third iteration, the system usefulness, information quality, interface quality, and overall values were 2.416, 2.341, 2.597, and 2.261, respectively, indicating a good design. Key features of this mHealth app include a mood tracker, community, activity target, and meditation, and supporting features that complement the design include education articles and early detection features.

CONCLUSIONS

Our findings provide guidance for health facilities and to design and implement future mHealth apps to help treat adolescent depression.

The Development and Usability of a Mobile App for Parents of Children with ADHD

BACKGROUND

Attention-Deficit/ Hyperactivity Disorder (ADHD) is one of the most prevalent mental health problems in children. Behavioral parent training (BPT) is the first-line treatment recommended by clinical guidelines; however, parental dropout is high. Mobile apps could be used as an adjunct to BPT in order to increase treatment adherence, homework compliance, and parental engagement. In this paper, we describe the development process of a mobile app for parents of children with ADHD.

METHODS

We conducted a study to investigate parents' perceived usability of the ADHD Coping Card.

RESULTS

The mobile app developed has a high usability. Future improvements in the app were suggested by parents.

CONCLUSIONS

Given the increasing importance of digital mental health interventions in psychotherapy, it is important that future research is conducted with a higher number of participants to investigate the key factors implicated in choosing such an intervention in the future, both by parents and by mental health specialists. A mobile app can be used as an add-on in psychotherapy with parents of children with ADHD. Digital health interventions could help surpass gaps in treatment access for child mental health problems.

Can Translational Social Neuroscience Research Offer Insights to Mitigate Structural Racism in the United States?

Social isolation and conflict due to structural racism may result in human suffering and loneliness across the life span. Given the rising prevalence of these problems in the United States, combined with disruptions experienced during the COVID-19 pandemic, the neurobiology of affiliative behaviors may offer practical solutions to the pressing challenges associated with structural racism. Controlled experiments across species demonstrate that social connections are critical to survival, although strengthening individual resilience is insufficient to address the magnitude and impact of structural racism. In contrast, the multilevel construct of social resilience, defined by the power of groups to cultivate, engage in, and sustain positive relationships that endure and recuperate from social adversities, offers unique insights that may have greater impact, reach, and durability than individual-level interventions. Here, we review putative social resilience-enhancing interventions and, when available, their biological mediators, with the hope to stimulate discovery of novel approaches to mitigate structural racism. We first explore the social neuroscience principles underlying psychotherapy and other psychiatric interventions. Then, we explore translational efforts across species to tailor treatments that increase social resilience, with context and cultural sensitivity in mind. Finally, we conclude with some practical future directions for understudied areas that may be essential for progress in biological psychiatry, including ethical ways to increase representation in research and developing social paradigms that inform dynamics toward or away from socially resilient outcomes.

Digital solutions to promote adolescent mental health: Opportunities and challenges for research and practice

Jason Bantjes discusses the accompanying study by Michelle Torok, Jin Han, and colleagues investigating the effects of a self-guided smartphone application on suicidal ideation among young adults.

Generating value with mental health apps

BACKGROUND

Although apps are increasingly being used to support the diagnosis, treatment and management of mental illness, there is no single means through which costs associated with mental apps are being reimbursed. Furthermore, different apps are amenable to different means of reimbursement as not all apps generate value in the same way.

AIMS

To provide insights into how apps are currently generating value and being reimbursed across the world, with a particular focus on the situation in the USA.

METHOD

An international team performed secondary research on how apps are being used and on common pathways to remuneration.

RESULTS

The uses of apps today and in the future are reviewed, the nature of the value delivered by apps is summarised and an overview of app reimbursement in the USA and other countries is provided. Recommendations regarding how payments might be made for apps in the future are discussed.

CONCLUSIONS

Currently, apps are being reimbursed through channels with other original purposes. There may be a need to develop an app-specific channel for reimbursement which is analogous to the channels used for devices, drugs and laboratory tests.

Role of Technology in Faculty Development in Psychiatry

Clinicians, interprofessional teams, organizational systems, and patients increasingly use technology for health and health care, communication, networking, and business. In this era of ubiquitous connectivity, the digital age has solidified the role of technology in continuing medical education, faculty development, and integrating professional and personal roles and identities. Clinicians are shifting from treating technology as a supplemental modality to using it as a central organizing and facilitating tool, particularly important for clinical care. This is known as an information technology-business-medicine understanding or conceptual framework.

Can an Emoji a Day Keep the Doctor Away? An Explorative Mixed-Methods Feasibility Study to Develop a Self-Help App for Youth With Mental Health Problems

Today's smartphones allow for a wide range of "big data" measurement, for example, ecological momentary assessment (EMA), whereby behaviours are repeatedly assessed within a person's natural environment. With this type of data, we can better understand - and predict - risk for behavioral and health issues and opportunities for (self-monitoring) interventions. In this mixed-methods feasibility study, through convenience sampling we collected data from 32 participants (aged 16-24) over a period of three months. To gain more insight into the app experiences of youth with mental health problems, we interviewed a subsample of 10 adolescents who received psycthological treatment. The results from this feasibility study indicate that emojis) can be used to identify positive and negative feelings, and individual pattern analyses of emojis may be useful for clinical purposes. While adolescents receiving mental health care are positive about future applications, these findings also highlight some caveats, such as possible drawback of inaccurate representation and incorrect predictions of emotional states. Therefore, at this stage, the app should always be combined with professional counseling. Results from this small pilot study warrant replication with studies of substantially larger sample size.

Mental health apps in a college setting: openness, usage, and attitudes

BACKGROUND

The ubiquity of smartphones and the development of mental health apps (MHAs) calls for evaluation of consumers' attitudes towards and usage of MHAs. Due to the increasing demand for mental health services on college campuses, research is especially needed to evaluate MHAs as a potentially viable treatment modality in that setting.

METHODS

The study team developed survey questions related to MHAs, added these to the Healthy Minds Study, and used Qualtrics as the platform. The participants were 741 students, age 18 and older, from a large Midwest public university. Students could answer a varying number of multiple choice questions based on embedded display logic, and the survey required 20-25 minutes for most participants to complete. Based on embedded display logic in the survey and how questions were answered, students could receive anywhere from 1-20 questions. Questions were primarily categorical (e.g., "Yes", "Maybe", "No"), with the remaining questions in free response format. The survey was fielded in April, 2016.

RESULTS

26.1% of respondents were open to using an MHA yet only 7.3% had used an MHA. 9.0% of respondents preferred to use an MHA versus seeing a mental health professional. 13.2% of respondents felt that MHAs do have an evidence base. 23.8% of users felt that MHAs helped with their mental health. Those who reported receiving mental health services within the past 12 months were significantly more open to using MHAs than those who had not received services. Convenience, immediate availability, and confidentiality were common reasons for interest in MHAs.

CONCLUSIONS

There is interest in, but limited usage, of MHAs among university students, providing evidence of MHAs as a potentially untapped treatment modality for this population. Further research could help assess how best to integrate this technology into the university and college mental health system.

Phone-Based Interventions in Adolescent Psychiatry: A Perspective and Proof of Concept Pilot Study With a Focus on Depression and Autism

BACKGROUND

Telemedicine has emerged as an innovative platform to diagnose and treat psychiatric disorders in a cost-effective fashion. Previous studies have laid the functional framework for monitoring and treating child psychiatric disorders electronically using videoconferencing, mobile phones (smartphones), and Web-based apps. However, phone call and text message (short message service, SMS) interventions in adolescent psychiatry are less studied than other electronic platforms. Further investigations on the development of these interventions are needed.

OBJECTIVE

The aim of this paper was to explore the utility of text message interventions in adolescent psychiatry and describe a user feedback-driven iterative design process for text message systems.

METHODS

We developed automated text message interventions using a platform for both depression (EpxDepression) and autism spectrum disorder (ASD; EpxAutism) and conducted 2 pilot studies for each intervention (N=3 and N=6, respectively). The interventions were prescribed by and accessible to the patients' healthcare providers. EpxDepression and EpxAutism utilized an automated system to triage patients into 1 of 3 risk categories based on their text responses and alerted providers directly via phone and an online interface when patients met provider-specified risk criteria. Rapid text-based feedback from participants and interviews with providers allowed for quick iterative cycles to improve interventions.

RESULTS

Patients using EpxDepression had high weekly response rates (100% over 2 to 4 months), but exhibited message fatigue with daily prompts with mean (SD) overall response rates of 66.3% (21.6%) and 64.7% (8.2%) for mood and sleep questionnaires, respectively. In contrast, parents using EpxAutism displayed both high weekly and overall response rates (100% and 85%, respectively, over 1 to 4 months) that did not decay significantly with time. Monthly participant feedback surveys for EpxDepression (7 surveys) and EpxAutism (18 surveys) preliminarily indicated that for both interventions, daily messages constituted the "perfect amount" of contact and that EpxAutism, but not EpxDepression, improved patient communication with providers. Notably, EpxDepression detected thoughts of self-harm in patients before their case managers or caregivers were aware of such ideation.

CONCLUSIONS

Text-message interventions in adolescent psychiatry can provide a cost-effective and engaging method to track symptoms, behavior, and ideation over time. Following the collection of pilot data and feedback from providers and patients, larger studies are already underway to validate the clinical utility of EpxDepression and EpxAutism.

TRIAL REGISTRATION

Clinicaltrials.gov NCT03002311; https://clinicaltrials.gov/ct2/show/NCT03002311 (Archived by WebCite at http://www.webcitation.org/6qQtlCIS0).