Mental Health Apps for Children and Adolescents: A Clinician-Friendly Review.

Mobile apps for mental health and wellness (MH apps) have the potential to support youth mental health, expanding access to the large proportion of youth with mental health concerns who do not access formal treatment. Survey data suggest that young people are highly interested in MH apps, with minoritized youth (eg, LGBTQ individuals) and youth with elevated depressive symptoms reporting especially high rates of downloading MH apps.1 In addition, systematic reviews and meta-analyses suggest that MH apps can be effective.2 Although many popular MH apps do not have direct empirical evidence supporting their efficacy,3 they often include elements of empirically supported treatments for children and adolescents.4 The MH app space moves at a fast pace, making it difficult to stay up-to-date. More than 10,000 MH apps exist, with hundreds released each year.5 Even interested clinicians may, understandably, not have time to sort through the large number of apps, scientific papers, and app directories. Furthermore, these resources are rarely designed to offer clear, actionable advice for clinicians. Clinicians could benefit from information and guidance to help patients safely navigate MH apps and to best use MH apps in treatment. Here, we provide 3 key points about youth MH apps ("takeaways"), each with an actionable implication for clinicians ("action items"). We also provide examples of specific questions for clinicians to support their use of MH apps with children and adolescents (Table 1). More information regarding where we derived these recommendations is available in Supplement 1, available online.

Bidirectional Associations Between Pain and Perceived Stress Among Veterans: Depressive Disorder as a Predisposing Factor.

OBJECTIVE: Military veterans who were injured in combat very often report pain along with co-occurring perceived stress and preexisting depressive disorder. The systems model of pain is a theoretical model suggesting that pain and perceived stress are bidirectionally associated at the within-person level, and associations are heightened among those with depressive disorder. However, the systems model of pain has not been adequately tested. Testing the systems model of pain could illuminate salient treatment targets for combat-injured veterans with pain and co-occurring psychological problems. METHODS: The present study empirically tests the systems model of pain among a sample of combat-injured veterans ( N = 902) surveyed five times during an 18-month period. We used a multigroup, autoregressive latent trajectory with structured residual statistical model to test the within-person associations between pain and perceived stress and determine whether associations differ between veterans with and without a positive screen for depressive disorder. RESULTS: In line with the systems model of pain, pain and perceived stress were bidirectionally associated only among combat-injured veterans with depressive disorder. Among such veterans, perceived stress was positively associated with subsequent pain ( b = 0.12; 95% confidence interval = 0.06-0.17), and pain was positively associated with subsequent perceived stress ( b = 0.44; 95% CI = 0.11-0.77). CONCLUSIONS: Our work highlights the interplay between pain and its psychological correlates among a particularly at-risk population. Clinicians addressing pain and perceived stress among combat-injured veterans should be prepared to identify and address depressive disorder.

Development of a mobile mindfulness smartphone app for post-traumatic stress disorder and alcohol use problems for veterans: Beta test results and study protocol for a pilot randomized controlled trial.

BACKGROUND: Post-traumatic stress disorder (PTSD) and alcohol use disorder (AUD) are highly prevalent, and co-occurring among post-9/11 veterans. Mobile health (mHealth) applications, specifically those focused on mindfulness-based techniques, may be an effective avenue to intervene with veterans who cannot or will not seek care at traditional in-person settings. Thus, to address areas of improvement in mHealth for veterans, we developed Mind Guide and prepared it for testing in a pilot randomized controlled trial (RCT) with veterans. METHODS: We have completed phase 1 (treatment development) and Phase 2 (beta test) of our mobile mHealth app, Mind Guide. In this paper we describe the methods for Phase 1 as well as results for our beta test (n = 16; inclusion criteria included screen for PTSD, AUD, a post-9/11 veteran, and not currently receiving treatment) for Mind Guide as well as outline procedures for our pilot RCT of Mind Guide (Phase 3). The PTSD Checklist, self-reported alcohol use, the Perceived Stress Scale, Penn Alcohol Craving Scale, and the Emotion Regulation Questionnaire were used. RESULTS: Results of our beta test of Mind Guide show promising past 30 day effects on PTSD (d = -1.12), frequency of alcohol use (d = -0.54), and alcohol problems (d = -0.44), and related mechanisms of craving (d = -0.53), perceived stress (d = -0.88), and emotion regulation (d = -1.22). CONCLUSION: Our initial beta-test of Mind Guide shows promise for reducing PTSD and alcohol related problems among veterans. Recruitment is ongoing for our pilot RCT in which 200 veterans will be recruited and followed up for 3 months. CLINICALTRIALS: gov Identifier: NCT04769986.

User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews.

BACKGROUND: User experience and engagement are critical elements of mental health apps' abilities to support users. However, work examining the relationships among user experience, engagement, and popularity has been limited. Understanding how user experience relates to engagement with and popularity of mental health apps can demonstrate the relationship between subjective and objective measures of app use. In turn, this may inform efforts to develop more effective and appealing mental health apps and ensure that they reach wide audiences. OBJECTIVE: We aimed to examine the relationship among subjective measures of user experience, objective measures of popularity, and engagement in mental health apps. METHODS: We conducted a preregistered secondary data analysis in a sample of 56 mental health apps. To measure user experience, we used expert ratings on the Mobile App Rating Scale (MARS) and consumer ratings from the Apple App Store and Google Play. To measure engagement, we acquired estimates of monthly active users (MAU) and user retention. To measure app popularity, we used download count, total app revenue, and MAU again. RESULTS: MARS total score was moderately positively correlated with app-level revenue (Kendall rank [T]=0.30, P=.002), MAU (T=0.39, P<.001), and downloads (T=0.41, P<.001). However, the MARS total score and each of its subscales (Engagement, Functionality, Aesthetics, and Information) showed extremely small correlations with user retention 1, 7, and 30 days after downloading. Furthermore, the total MARS score only correlated with app store rating at T=0.12, which, at P=.20, did not meet our threshold for significance. CONCLUSIONS: More popular mental health apps receive better ratings of user experience than less popular ones. However, user experience does not predict sustained engagement with mental health apps. Thus, mental health app developers and evaluators need to better understand user experience and engagement, as well as to define sustained engagement, what leads to it, and how to create products that achieve it. This understanding might be supported by better collaboration between industry and academic teams to advance a science of engagement.

A process for reviewing mental health apps: Using the One Mind PsyberGuide Credibility Rating System.

OBJECTIVE: Given the increasing number of publicly available mental health apps, we need independent advice to guide adoption. This paper discusses the challenges and opportunities of current mental health app rating systems and describes the refinement process of one prominent system, the One Mind PsyberGuide Credibility Rating Scale (PGCRS). METHODS: PGCRS Version 1 was developed in 2013 and deployed for 7 years, during which time a number of limitations were identified. Version 2 was created through multiple stages, including a review of evaluation guidelines and consumer research, input from scientific experts, testing, and evaluation of face validity. We then re-reviewed 161 mental health apps using the updated rating scale, investigated the reliability and discrepancy of initial scores, and updated ratings on the One Mind PsyberGuide public app guide. RESULTS: Reliabilities across the scale's 9 items ranged from -0.10 to 1.00, demonstrating that some characteristics of apps are more difficult to rate consistently. The average overall score of the 161 reviewed mental health apps was 2.51/5.00 (range 0.33-5.00). Ratings were not strongly correlated with app store star ratings, suggesting that credibility scores provide different information to what is contained in star ratings. CONCLUSION: PGCRS summarizes and weights available information in 4 domains: intervention specificity, consumer ratings, research, and development. Final scores are created through an iterative process of initial rating and consensus review. The process of updating this rating scale and integrating it into a procedure for evaluating apps demonstrates one method for determining app quality.

Accessibility and Digital Mental Health: Considerations for More Accessible and Equitable Mental Health Apps.

Digital mental health is often touted as a solution to issues of access to mental health care. However, there has been little research done to understand the accessibility of digital mental health, especially for those with disabilities. In this piece, we define accessibility as it relates to mental health apps, describe the current state of accessibility in the digital world broadly and in mental health apps more specifically, outline why accessibility matters in mental health apps, and identify future steps to better incorporate accessibility into research and development of mental health apps.