Recent developments in the use of smartphone interventions for mental health

German Version of the Mobile Agnew Relationship Measure: Translation and Validation Study

BACKGROUND

The mobile Agnew Relationship Measure (mARM) is a self-report questionnaire for the evaluation of digital mental health interventions and their interactions with users. With the global increase in digital mental health intervention research, translated measures are required to conduct research with local populations.

OBJECTIVE

The aim of this study was to translate and validate the original English version of the mARM into a German version (mARM-G).

METHODS

A total of 2 native German speakers who spoke English as their second language conducted forward translation of the original items. This version was then back translated by 2 native German speakers with a fluent knowledge of English. An independent bilingual reviewer then compared these drafts and created a final German version. The mARM-G was validated by 15 experts in the field of mobile app development and 15 nonexperts for content validity and face validity; 144 participants were recruited to conduct reliability testing as well as confirmatory factor analysis.

RESULTS

The content validity index of the mARM-G was 0.90 (expert ratings) and 0.79 (nonexperts). The face validity index was 0.89 (experts) and 0.86 (nonexperts). Internal consistency for the entire scale was Cronbach α=.91. Confirmatory factor analysis results were as follows: the chi-square statistic to df ratio was 1.66. Comparative Fit Index was 0.87 and the Tucker-Lewis Index was 0.86. The root mean square error of approximation was 0.07.

CONCLUSIONS

The mARM-G is a valid and reliable tool that can be used for future studies in German-speaking countries.

Use of Mobile Applications in Smoking, Alcohol and Substance Use Disorders

Currently, technology and mobile health applications are developing and being applied in different fields every day. Especially the use of mobile technology in many health fields offers various opportunities for the use of mobile applications in smoking, alcohol and substance use disorders, which is an important public mental health problem. The aim of this review study was to examine 16 mobile applications designed for the treatment and monitoring of smoking, alcohol and substance use. It was concluded that self-monitoring, notification and warning systems, location services, peer and expert support services were frequently used in the analyzed mobile applications. As a result of the studies, the use of mobile applications as a preventive intervention in the prevention of addiction and as an additional treatment option in addiction treatment is promising. However, this situation brings along various harms, risks and obstacles. This review of the relevant literature provides a critical update of mobile applications used in smoking, alcohol and substance use disorders. This review is expected to be an important guide for mental health professionals and mobile application designers working on addiction.

Evaluation of mobile applications focused on the care of patients with anxiety disorders: A systematic review in app stores in Brazil

OBJECTIVE

To identify and evaluate the quality of mobile apps available in Brazil focused on the care of patients with anxiety disorders.

METHODS

A comprehensive search was conducted until October 2021 on Play Store (Android) and Apple Store (iOS) in Brazil, using the terms "anxiety," "phobia," "panic attack," and "social phobia." Two independent authors identified the apps and performed data extraction and quality assessment using the Mobile App Rating Scale (MARS). Pearson's correlation was used to analyze the relationship between user star rating and the quality defined by the MARS instrument.

RESULTS

A total of 3,278 potential apps were identified, of which 71 fully met the eligibility criteria. Most apps were made available on the Play Store (91.74%), in English (69.01%), and updated in the last two years (90.14%). Approximately half of the apps (50.70%) did not inform the developer's country and most of them did not report the user star rating (70.42%). The target population was indicated as free by most apps (85.92%), with generalized anxiety disorder being the most addressed disorder (74.65%), followed by panic disorder (33.80%). The three main purposes of the apps were education (83.10%), self-assessment (38.03%), and meditation/breathing (32.39%). Only 31 apps (43.66%) had acceptable quality (above 3.0) and the average total MARS quality score of 2.93 (2.20 to 3.90), with the functionality section receiving the highest score (3.90) and the lowest scoring sections being engagement (2.16). The apps that were rated stars by users (29.58%) showed a negative Pearson correlation (ρ = -0.100), evidencing a difference in the user's evaluation and that performed using the MARS instrument.

CONCLUSION

Gaps in the quality of apps focused on the care of patients with anxiety disorders were evidenced since most were classified as having low quality through the MARS instrument. Thus, users are recommended to use these apps with caution.

Digital community assets: Investigating the impact of online engagement with arts and peer support groups on mental health during COVID-19

The digitisation of mental health support has accelerated since the outbreak of the COVID-19 pandemic. This study investigated the impact of digital engagement with community assets on mental health during COVID-19. Digital engagement is typically not location-bound, but the restricted movement enforced during 'lockdowns' meant that people were primarily accessing digital community assets from their home environments. We report findings from a study utilising two creative workshops and semi-structured interviews to investigate how support operates in and through three digital community assets; an online peer support forum, a social enterprise running regular creative challenges nationally via social media and a local in-person creative arts support group. The concept of 'more or less digital' captures the ways that people's experiences of digital community assets extend beyond the platforms to incorporate settings of use. The analysis identifies how support is diluted through digital engagement, the value of minimal and muted forms of engagement and user-led designs for future hybrid forms of support. The article concludes by emphasising the importance of analysing digital community asset engagement in the settings of use and how such knowledge is vital for planning support in a future under continual pressure to be increasingly digital.

Digital psychosocial intervention for depression among older adults in socioeconomically deprived areas in Brazil (PRODIGITAL-D): protocol for an individually randomised controlled trial

BACKGROUND

Depression in older adults is a challenge for health systems in most low- and middle-income countries (LMICs). Digital strategies for the management of this condition have been emerging worldwide, but the effectiveness of most of them is still unclear, especially among older adults. Thus, we aim to assess the effectiveness and cost-effectiveness of a digital psychosocial intervention to treat depression among older adults living in socioeconomically deprived areas in Guarulhos, Brazil.

METHODS

We will conduct a two-arm individually randomised controlled trial with 1:1 allocation ratio. Five hundred older adults aged 60 years or over with depressive symptomatology (9-item Patient Health Questionnaire score, PHQ-9 ≥ 10) and registered with one of the primary care clinics will be recruited to participate in this study. A 6-week digital psychosocial programme, named Viva Vida, will be delivered via WhatsApp to participants allocated to the intervention arm. The Viva Vida will send psychoeducational and behavioural activation audio and visual messages 4 days a week for 6 weeks. The control arm will only receive a single message with general information about depression. The primary outcome will be the proportion of depression recovery (PHQ-9 < 10) assessed at 3 months. The cost-effectiveness of the intervention will be assessed at 5 months. A detailed process evaluation will be used to explore context and important implementation outcomes.

DISCUSSION

This programme was based on the PROACTIVE intervention and designed to be delivered without face-to-face contact. If effective, it could be a simple treatment option, appropriate not only when social distancing is required, but it could also be included as a regular public health programme to initiate depression treatment, particularly in LMICs where resources allocated to mental health are scarce.

TRIAL REGISTRATION

Registro Brasileiro de Ensaios Clínicos (ReBEC), RBR-4c94dtn. Registered on 22 October 2021 (submitted on 03 August 2021).

Technology-Based Interventions to Improve Help-Seeking for Mental Health Concerns: A Systematic Review

BACKGROUND

Despite the high prevalence of mental health disorders worldwide, a significant proportion of distressed individuals do not seek professional help. Digital technology can be a potential bridge to reduce the treatment gap for mental disorders. A systematic review was undertaken to examine the technology-based interventions aimed at improving help-seeking attitude, intention, or behavior for mental health concerns.

METHODS

The literature search was conducted in January-February 2020 through various e-databases using relevant keywords that targeted help-seeking interventions for mental health disorders via different technology modes.

RESULTS

21 studies (15 randomized controlled trials and six non-randomized studies) were reviewed. The included studies were published between April 2006 to February 2020. Majority of the interventions led to an increase in the help-seeking variables. The crucial role of online delivery, participant involvement, and embedded links to professional services in encouraging help-seeking is highlighted. The review emphasizes the need for understanding utility of multicomponent interventions with personalized elements targeting help-seeking behavior, particularly in low-middle-income countries, and studies involving longer duration follow-ups.

CONCLUSION

This systematic review is the first of its kind to examine technology-based interventions to improve help-seeking for mental health and suggests that such interventions play a crucial role in positively impacting help-seeking. The complex interplay between the relevant variables such as mental health literacy, stigma, help-seeking attitude, intention and behavior, and the intervention components that may have a differential bearing on these variables are issues that merit urgent attention in further research.

User perceptions of mobile digital apps for mental health: Acceptability and usability - An integrative review

WHAT IS KNOWN ON THE SUBJECT?: Mobile mental health apps are increasingly being used by both mental health nurses to promote individual self-managemental of mental health conditions and by consumers. Perceptions about specific apps are known, but the overarching acceptability and usability of mental health apps in general less understood. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: This paper identified consumer perceptions of mobile mental health apps. Six key areas were identified that future mobile app developers should consider to maximize consumer engagement with mental health apps. Consumers also highlighted that apps do not replace traditional mental health nursing-rather these supplement existing care. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: This review found that mental health apps are generally viewed positively by consumers; however, factors such as ease of use, usefulness of content and privacy need to be considered to maximise and sustain app engagement. ABSTRACT: Introduction There is increasing interest in the use of mobile mental health applications (apps) to manage mental health conditions. Understanding user perceptions is key to maximise app engagement and inform how apps can be used to support mental health nursing care. Aim This integrative review explores consumers' perceptions of mobile mental health apps to gain insight into user preferences and acceptability. Methods This integrative review was based on searching four databases: CINAHL, EMBASE, Medline, PsycInfo. Inclusion criteria were: (i) articles published after 2000; (ii) focused on apps for mental health disorders; (iii) explored consumers' perception of using a mental health app. Abstracts were screened and eligible papers reviewed. Data on user perceptions were extracted and analysed thematically. Results Seventeen articles were identified. Overall, consumers did not feel that app use replaced traditional health care. Six themes were identified: "Helpfulness," "Improvements/enhancements," "Technical issues," "Easy to use," "Satisfaction with the app" and "Perceived issues." Consumers indicated a preference for personalization for the app to meet individual needs. Discussion and Implications for Practice Mental health apps are generally viewed positively by consumers; however, factors such as ease of use, usefulness of content and privacy need to be considered to maximise and sustain app engagement.

Smartphone Psychological Therapy During COVID-19: A Study on the Effectiveness of Five Popular Mental Health Apps for Anxiety and Depression

The aims of this study were to examine the effectiveness of a range of smartphone apps for managing symptoms of anxiety and depression and to assess the utility of a single-case research design for enhancing the evidence base for this mode of treatment delivery. The study was serendipitously impacted by the COVID-19 pandemic, which allowed for effectiveness to be additionally observed in the context of significant community distress. A pilot study was initially conducted using theSuperBetter app to evaluate the proposed methodology, which proved successful with the four finishing participants. In the main study, 39 participants commenced (27 females and 12 males,M_Age = 34.04 years,SD = 12.20), with 29 finishing the intervention phase and completing post-intervention measures. At 6-month follow-up, a further three participants could not be contacted. This study used a digitally enhanced, multiple baseline across-individuals single-case research design. Participants were randomly assigned to the following apps:SuperBetter (n = 8),Smiling Mind (n = 7),MoodMission (n = 8),MindShift (n = 8), andDestressify (n = 8). Symptomatology and life functioning were measured at five different time points: pre-baseline/screening, baseline, intervention, 3-week post-intervention, and 6-month follow-up. Detailed individual perceptions and subjective ratings of the apps were also obtained from participants following the study’s completion. Data were analyzed using visual inspection, time-series analysis, and methods of statistical and clinical significance. Positive results were observed for all apps. Overall, more favorable outcomes were achieved by younger participants, those concurrently undertaking psychotherapy and/or psychotropic medication, those with anxiety and mixed anxiety and depression rather than stand-alone depression, and those with a shorter history of mental illness. Outcomes were generally maintained at 6-month follow-up. It was concluded that a diverse range of evidence-based therapies offered via apps can be effective in managing mental health and improving life functioning even during times of significant global unrest and, like all psychotherapies, are influenced by client features. Additionally, this single-case research design is a low-cost/high value means of assessing the effectiveness of mental health apps.

Clinical Trial Registration: The study is registered with the Australian and New Zealand Clinical Trials Registry (ANZCTR), which is a primary registry in the World Health Organization Registry Network, registration number ACTRN12619001302145p (http://www.ANZCTR.org.au/ACTRN12619001302145p.aspx).

Telemedicine solutions for patients with mental disorders: a Delphi study and review of mobile applications in virtual stores

Mental disorders are a critical public health challenge since they profoundly affected people lifestyle. Mental healthcare treatments aim to promote a higher quality of life of the patients. These procedures include interventions for prolonged mental illness which can be supported by telemedicine technologies. This paper presents a comprehensive analysis of mobile applications selected to address the most critical needs of people with mental problems. Needs include areas of the patient's life, such as basic activities, behavioral changes, and daily life tasks. This work has two main objectives; (1) identify critical needs for patients with mental disorders and (2) identify and analyze apps that can meet the identified critical needs. A Delphi methodology survey was carried with a group of thirteen volunteers, including nurses, assistants, and psychiatrists who are working in Zamora and Valladolid, Spain. This survey has recommended different needs for patients with mental disorders and address objective 1. Google Play and Apple Store have been assessed to select the most relevant mobile applications that were recommended in the Delphi study to address the essential needs of these patients according to objective 2. The results of the Delphi survey show 24 different needs for patients with mental disorders. This study has analyzed 62 mobile applications which address the essential needs recommended in the Delphi study. The selected mobile applications represent 31 applications with feedback (50%); 15 informative applications (24%), and 16 independent applications (26%). On the one hand, applications with feedback request can address 13 recommended needs (54%). On the other hand, informative applications can address 7 needs (29%). Finally, the independent applications are only able to respond to 4 of the 24 recommend needs (17%). Mobile health applications present effective technologies to support the needs of patients with mental disorders. However, this study suggests a critical limitation of mobile applications for mental health since the majority of the applications require user activity. Therefore, future research initiatives on the design and development of mobile apps for people who have mental disorders should focus on independent applications.

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees' Intention to Use a Work-Stress Management App?

Organizations are interested in finding new and more effective ways to promote the well-being of their workers, to help their workers manage work-related stress. New technologies (e.g., smartphones) are cheaper, allow more workers to be reached, and guarantee their anonymity. However, not all employees agree on the use of new technological interventions for the promotion of well-being. Consequently, organizations need to investigate technological acceptance before introducing these tools. By considering the technology acceptance model (TAM) framework, we investigate both the influence of workers’ perceived usefulness and ease of use on their intentions to use apps that help them managing work stress. Moreover, we contribute to the extension of this model by considering both personal (i.e., self-efficacy, personal innovativeness) and organizational (i.e., organizational support for innovation) variables. Our research involved 251 participants who completed an online self-report questionnaire. The results confirm the central hypothesis of the TAM and the influence of other variables that could influence acceptance of new technologies, such as apps that help manage work stress, and the intentions to use them. These results could help organizations ensure technological acceptance and usage by their workers, increasing the effectiveness of new technologies and interventions to promote well-being.

Using apps for bipolar disorder - An online survey of healthcare provider perspectives and practices

BACKGROUND

Smartphone apps have recognized potential for improving access to evidence-based care in the treatment of bipolar disorder (BD). Healthcare providers are well-positioned to play a role in guiding patients to access safe, evidence-supported, and trustworthy apps. However, little is known about whether and how clinicians use apps with people with BD: understanding practices and attitudes of healthcare providers is essential to support the implementation of mHealth interventions in a real-world context.

METHODS

A web-based survey was used to explore clinicians' attitudes towards, and use of apps when working with people with BD. Descriptive statistics were used to summarize quantitative findings. Free text responses were investigated using qualitative content analysis.

RESULTS

Eighty healthcare providers completed the survey. Approximately half of the respondents reported discussing or recommending apps in clinical practice with BD populations. Recommended apps were most commonly related to mood, sleep, and exercise. Barriers to discussing apps included a lack of healthcare provider knowledge/confidence, concerns about patients' ability to access apps, and beliefs that patients lacked interest in apps.

CONCLUSION

Although research suggests that people with BD are interested in using apps, uptake of such technology among clinicians is more limited. A lack of clinician knowledge regarding apps, combined with concerns about the digital divide and patient interest, may account for this relatively limited integration of apps into the management of BD. These findings emphasise the importance of considering the information needs of healthcare providers when planning dissemination strategies for app-based interventions for BD.

Smartphone-Based Interventions and Internalizing Disorders in Youth: Systematic Review and Meta-analysis

Background

Mental health disorders in youth are a global issue that have important implications for the future quality of life and morbidity of affected individuals. In the context of public health initiatives, smartphone-based interventions have been suggested to hold the potential to be an effective strategy to reduce the symptoms of mental health disorders in youth; however, further evaluation is needed to confirm their effectiveness. This systematic review and meta-analysis documents and synthesizes existing research on smartphone-based interventions targeting internalizing disorders in youth populations.

Objective

This study aims to synthesize existing research on smartphone-based interventions targeting internalizing disorders in youth populations.

Methods

PubMed and SCOPUS were searched in 2019, and 4334 potentially relevant articles were found. A total of 12 studies were included in the final synthesis. We used the Hedges g meta-analysis approach and a random effects model for analysis.

Results

The results of this review note that depression and anxiety are the most commonly targeted symptoms, and unlike other similar topics, most studies reviewed were linked to a proven treatment. The overall pooled effect from the meta-analysis showed small but significant effects (κ=12; N=1370; Hedges g=0.20; 95% CI 0.02-0.38) for interventions in reducing the symptoms of internalizing disorders. In total, 4 subgroup analyses examining specific symptoms and intervention styles found varied small significant and nonsignificant effects.

Conclusions

Future research should focus on developing robust evaluative frameworks and examining interventions among more diverse populations and settings. More robust research is needed before smartphone-based interventions are scaled up and used at the population level to address youth internalizing disorders.

Mental Health Applications for Primary and Secondary Prevention of Common Mental Disorders: Attitudes of German Employees

Background: Web-based and mobile mental health applications for the prevention and treatment of common mental disorders (CMDs) are on the rise. Under certain circumstances they have proved to be effective for a range of conditions (e.g., depression). Objective: There is not sufficient evidence regarding the benefits and barriers especially for mobile phone apps and for programs in the field of primary prevention. Studies on the acceptance of potential users of mental health apps yielded mixed outcomes. In a large survey we investigated the attitudes of employees toward mental health apps and various traditional mental health services. Our main research question in this contribution focuses on the acceptance of apps compared to other measures and the moderating influence of individual characteristics. Methods: The standardized survey was completed by members of an online access panel with different job types. A set of 33 self-developed items, including three questions on e-health, captured the perceived relevance of prevention at the (A) occupational, (B) individual, and (C) societal level. On the basis of an exploratory factor analysis, mean scores for mapping seven (sub-)dimensions were constructed and compared using the Wilcoxon test. The influence of potential predictors was analyzed in linear regression models. Results: The data of 610 respondents were analyzed (response rate 75%). Support from mental health applications was rated significantly less important compared to all other dimensions at the levels (A) to (C). Respondents were more likely to use mental health apps if they felt literate with electronic devices, perceived a high relevance of work-related demands as causal factors for CMDs, stated they would be ashamed of having a CMD, and would be willing to begin psychotherapy if recommended. Discussion and Conclusions: The results confirm the critical attitudes of potential mental health app users found in other studies. Since users with a negative attitude toward e-health might have a higher risk for dropout and non-adherence as well as lower intervention effects, well-designed educational strategies should be carried out beforehand.

Parent Mobile Phone Use in Playgrounds: A Paradox of Convenience

Creating social and physical environments that promote good health is a key component of a social determinants approach. For the parents of young children, a smartphone offers opportunities for social networking, photography and multi-tasking. Understanding the relationship between supervision, mobile phone use and injury in the playground setting is essential. This research explored parent mobile device use (MDU), parent–child interaction in the playground, parent attitudes and perceptions towards MDU and strategies used to limit MDU in the playground. A mixed-methods approach collected naturalistic observations of parents of children aged 0–5 (n = 85) and intercept interviews (n = 20) at four metropolitan playgrounds in Perth, Western Australia. Most frequently observed MDU was scrolling (75.5%) and telephone calls (13.9%). Increased duration of MDU resulted in a reduction in supervision, parent–child play and increased child injury potential. The camera function offered the most benefits. Strategies to prevent MDU included turning to silent mode, wearing a watch and environmental cues. MDU was found to contribute to reduced supervision of children, which is a risk factor for injury. This is an emerging area of injury prevention indicating a need for broader strategies addressing the complex interplay between the social determinants and the developmental younger years.

Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design

BACKGROUND

The use of mental health mobile apps to treat anxiety and depression is widespread and growing. Several reviews have found that most of these apps do not have published evidence for their effectiveness, and existing research has primarily been undertaken by individuals and institutions that have an association with the app being tested. Another reason for the lack of research is that the execution of the traditional randomized controlled trial is time prohibitive in this profit-driven industry. Consequently, there have been calls for different methodologies to be considered. One such methodology is the single-case design, of which, to the best of our knowledge, no peer-reviewed published example with mental health apps for anxiety and/or depression could be located.

OBJECTIVE

The aim of this study is to examine the effectiveness of 5 apps (Destressify, MoodMission, Smiling Mind, MindShift, and SuperBetter) in reducing symptoms of anxiety and/or depression. These apps were selected because they are publicly available, free to download, and have published evidence of efficacy.

METHODS

A multiple baseline across-individuals design will be employed. A total of 50 participants will be recruited (10 for each app) who will provide baseline data for 20 days. The sequential introduction of an intervention phase will commence once baseline readings have indicated stability in the measures of participants' mental health and will proceed for 10 weeks. Postintervention measurements will continue for a further 20 days. Participants will be required to provide daily subjective units of distress (SUDS) ratings via SMS text messages and will complete other measures at 5 different time points, including at 6-month follow-up. SUDS data will be examined via a time series analysis across the experimental phases. Individual analyses of outcome measures will be conducted to detect clinically significant changes in symptoms using the statistical approach proposed by Jacobson and Truax. Participants will rate their app on several domains at the end of the intervention.

RESULTS

Participant recruitment commenced in January 2020. The postintervention phase will be completed by June 2020. Data analysis will commence after this. A write-up for publication is expected to be completed after the follow-up phase is finalized in January 2021.

CONCLUSIONS

If the apps prove to be effective as hypothesized, this will provide collateral evidence of their efficacy. It could also provide the benefits of (1) improved access to mental health services for people in rural areas, lower socioeconomic groups, and children and adolescents and (2) improved capacity to enhance face-to-face therapy through digital homework tasks that can be shared instantly with a therapist. It is also anticipated that this methodology could be used for other mental health apps to bolster the independent evidence base for this mode of treatment.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/17159.

Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care

A surge in the development of computer-assisted cognitive-behavioral therapy (CCBT) and mobile apps for depression has provided many tools with potential for enhancing treatment delivery. This article assesses progress in evaluation and implementation of CCBT and mobile apps for depression, with a focus on providing practical information on clinical applications. Advantage and disadvantages of these technologies are identified, outcome research is reviewed, and recommendations are made for clinical use. With increasing use of computer technology in everyday life, it is likely that clinicians and patients will pursue opportunities to employ computer tools in treatment for depression.

Barriers to Professional Help-seeking for Distress and Potential Utility of a Mental Health App Components: Stakeholder Perspectives

Introduction

A high prevalence of common mental disorders and the associated treatment gap, particularly in low and middle-income countries such as India, calls for novel mental health approaches with widespread reach. There is a need to enhance our understanding of the barriers experienced by distressed persons as well as to utilize these insights for breaking such barriers. Despite the rise in the use of technology-based solutions in the field of mental health, there is a dearth of app-based interventions that help in breaking barriers to seeking professional help for mental health concerns in distressed persons. The present study aimed at exploring the perspectives of distressed persons concerning barriers to seeking professional help for mental health concerns. It also sought to understand their perspectives on the perceived utility of proposed app components for breaking these barriers.

Methods

The study utilized a cross-sectional exploratory design. The sample included two groups of distressed participants who could be considered potential users (and thereby the stakeholders) of a mental health app under development for common mental health concerns: distressed treatment seekers (D-TS) and distressed non-treatment seekers (D-NTS). The D-TS group included 10 individuals (average age: 33 years; six men) with self-reported or clinician-reported depressive and anxiety symptoms at intake who were seeking help from mental health professionals. The D-NTS group included 10 distressed individuals (average age: 23 years; five men) who were recruited from the local community through an announcement. The announcement called for participants who were experiencing anxiety and low mood but had not yet sought help for their distress. A semistructured interview schedule was used to explore the nature of barriers encountered and the perceived utility of the content of the proposed app. The questions that aimed at understanding the perceived barriers were open-ended. The perceived utility of various components of the proposed app was explored via 11 items, with a 5-point Likert scale.

Results

Personal barriers frequently reported by both groups were doubts about treatment and fear of social consequences. The role of inadequate self-awareness about one’s mental health concerns as a barrier to reaching out for professional help was articulated more frequently by the D-TS group than the D-NTS group. Proposed app components such as self-assessment with individualized feedback, informative videos by mental health professionals, testimonials from mental health service users, and a platform for an online connection with a professional were rated as potentially useful in reducing barriers to professional help-seeking. Insights based on stakeholder perspectives have implications for further research and are being utilized for the development of a mental health app for common mental health concerns.

Technology-Based Psychosocial Interventions for People with Borderline Personality Disorder: A Scoping Review of the Literature

Evidence-based psychosocial interventions for borderline personality disorder (BPD) still face multiple challenges regarding treatment accessibility, adherence, duration, and economic costs. Over the last decade, technology has addressed these concerns from different disciplines. The current scoping review aimed to delineate novel and ongoing clinical research on technology-based psychosocial interventions for patients with BPD. Online databases (PubMed, Cochrane Library, EMBASE, Web of Science, PsycInfo, and Google Scholar) were searched up to June 2020. Technology-based psychosocial treatments included innovative communication (eHealth) and computational (e.g., artificial intelligence), computing (e.g., computer-based), or medical (e.g., functional magnetic resonance imaging [fMRI]) software. Clinical research encompassed any testing stage (e.g., feasibility, efficacy). Fifteen studies met the inclusion criteria. The main findings were the following: almost two-thirds of the studies (9/15) tested software explicitly conceived as adjunctive interventions to conventional therapy; nearly half of the studies (7/15) were referred to as dialectical behavior therapy-based software; most studies (13/15) were focused on the initial stage of the clinical research cycle (feasibility/acceptance/usability testing), reporting good results at this point; more than one-third of the studies (6/15) tested mobile apps; there is emerging evidence for Internet-based interventions and real-time fMRI biofeedback but only little evidence for mHealth interventions, virtual and augmented reality, and computer-based interventions; there was no computational technology-based clinical research; and there was no satisfaction/preference, security/safety, or efficiency testing for any software. Taken together, the results suggest that there is a growing but still incipient amount of technology-based psychosocial interventions for BPD supported by some kind of clinical evidence. The limitations and directions for future research are discussed.

Acceptance and Expectations of Medical Experts, Students, and Patients Toward Electronic Mental Health Apps: Cross-Sectional Quantitative and Qualitative Survey Study

BACKGROUND

The acceptability of electronic mental (e-mental) health apps has already been studied. However, the attitudes of medical experts, students, and patients taking into account their knowledge of and previous experiences with e-mental health apps have not been investigated.

OBJECTIVE

The aim of this study was to explore the attitudes, expectations, and concerns of medical experts, including physicians, psychotherapists and nursing staff, students of medicine or psychology, and patients toward e-mental health apps when considering their knowledge of and former experiences with e-mental health apps.

METHODS

This cross-sectional quantitative and qualitative survey was based on a self-developed questionnaire. A total of 269 participants were included (104 experts, 80 students, and 85 patients), and 124 eligible participants answered a paper version and 145 answered an identical online version of the questionnaire. The measures focused on existing knowledge of and experiences with e-mental health apps, followed by a question on whether electronic health development was generally accepted or disliked. Further, we asked about the expectations for an ideal e-mental health app and possible concerns felt by the participants. All items were either presented on a 5-point Likert scale or as multiple-choice questions. Additionally, 4 items were presented as open text fields.

RESULTS

Although 33.7% (35/104) of the experts, 15.0% (12/80) of the students, and 41.2% (35/85) of the patients knew at least one e-mental health app, few had already tried one (9/104 experts [8.7%], 1/80 students [1.3%], 22/85 patients [25.9%]). There were more advocates than skeptics in each group (advocates: 71/104 experts [68.3%], 50/80 students [62.5%], 46/85 patients [54.1%]; skeptics: 31/104 experts [29.8%], 20/80 students [25.0%], 26/85 patients [30.6%]). The experts, in particular, believed, that e-mental health apps will gain importance in the future (mean 1.08, SD 0.68; 95% CI 0.94-1.21). When asked about potential risks, all groups reported slight concerns regarding data security (mean 0.85, SD 1.09; 95% CI 0.72-0.98). Patient age was associated with several attitudes toward e-mental health apps (future expectations: r=-0.31, P=.005; total risk score: r=0.22, P=.05). Attitudes toward e-mental health apps correlated negatively with the professional experience of the experts (r_s(94)=-0.23, P=.03).

CONCLUSIONS

As opposed to patients, medical experts and students lack knowledge of and experience with e-mental health apps. If present, the experiences were assessed positively. However, experts show a more open-minded attitude with less fear of risks. Although some risks were perceived regarding data security, the attitudes and expectations of all groups were rather positive. Older patients and medical experts with long professional experience tend to express more skepticism.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00013095; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00013095.

Design and Development of the "POD Adventures" Smartphone Game: A Blended Problem-Solving Intervention for Adolescent Mental Health in India

Introduction: Digital technology platforms offer unparalleled opportunities to reach vulnerable adolescents at scale and overcome many barriers that exist around conventional service provision. This paper describes the design and development of POD Adventures, a blended problem-solving game-based intervention for adolescents with or at risk of anxiety, depression and conduct difficulties in India. This intervention was developed as part of the PRemIum for ADolEscents (PRIDE) research programme, which aims to establish a suite of transdiagnostic psychological interventions organized around a stepped care system in Indian secondary schools. Methods and Materials: Intervention development followed a person-centered approach consisting of four iterative activities: (i) review of recent context-specific evidence on mental health needs and preferences for the target population of school-going Indian adolescents, including a multiple stakeholder analysis of school counseling priorities and pilot studies of a brief problem-solving intervention; (ii) new focus group discussions with N = 46 student participants and N = 8 service providers; (iii) co-design workshops with N = 22 student participants and N = 8 service providers; and (iv) user-testing with N = 50 student participants. Participants were aged 12-17 years and recruited from local schools in New Delhi and Goa, including a subgroup with self-identified mental health needs (N = 6). Results: Formative data from existing primary sources, new focus groups and co-design workshops supported a blended format for delivering a brief problem-solving intervention, with counselors supporting use of a game-based app on "offline" smartphones. User-testing with prototypes identified a need for simplification of language, use of concrete examples of concepts and practice elements to enhance engagement. There were also indications that participants most valued relatability and interactivity within real-world stories with judicious support from an in-app guide. The final prototype comprised a set of interactive and gamified vignettes and a structured set of problem-solving questions to consolidate and generalize learning while encouraging real-world application. Discussion: Findings shaped the design of POD Adventures and its delivery as an open-access blended intervention for secondary school students with a felt need for psychological support, consistent with an early intervention paradigm. A randomized controlled trial is planned to evaluate processes and impacts of POD Adventures when delivered for help-seeking students in low-resource school settings.

The Momentum trial: the efficacy of using a smartphone application to promote patient activation and support shared decision making in people with a diagnosis of schizophrenia in outpatient treatment settings: a randomized controlled single-blind trial

BACKGROUND

Shared decision making (SDM) is often defined as an interactive process that ensures that both patient and practitioner are actively involved in the treatment and that they share all relevant information to arrive at a mental health decision. Previous SDM interventions have found improvements in outcomes such as personal recovery, higher perceived involvement in treatment decisions and knowledge about one's disease. Still, SDM occurs less frequently in mental health care than in primary care. Electronic aids developed to support patient activation and SDM could be a promising mean to engage patients in their mental healthcare. The aim of this trial is to investigate the effects of using a smartphone app to promote patient activation and support SDM for people with schizophrenia-spectrum disorders in an outpatient treatment setting.

METHODS

This randomised controlled trial will allocate participants to one of two groups: (1) Intervention group: smartphone app and TAU (treatment as usual) or (2) Control group: TAU without the smartphone app. A total sample size of 260 people with a diagnosis of schizophrenia, schizotypal or delusional disorder will be recruited from five OPUS teams (a specialized early intervention program) in Denmark between 2019 and 2020. The intervention will last for 6 months with data collection at baseline, and at 3 and 6 months. Primary outcome will be self-perceived patient activation. Secondary outcomes will be feeling of being prepared for SDM; self-efficacy; working alliance; treatment satisfaction; positive and negative symptoms; level of functioning; hope; and perceived efficacy in patient-provider interaction. Patients' and health providers' preferences in clinical decision making will be assessed. Patients' usage and perceived usefulness of the app will be explored.

DISCUSSION

This study will investigate the efficacy of using the smartphone app to support people with severe mental illness in engaging in their own healthcare management. The study may provide evidence to the idea that linking client and practitioner in digital solutions can have advantages in facilitating SDM in mental health. The trial will provide new knowledge of whether a digital healthcare solution can improve patient activation and support SDM for people with severe mental illness.

TRIAL REGISTRATION

ClinicalTrials.gov number: NCT03554655 Registered on: June 13, 2018.

A Smartphone Game to Prevent HIV Among Young Africans: Protocol for a Randomized Pilot Study of a Mobile Intervention

Background

Young people aged under 25 years make up an increasing proportion of the population in emerging economies such as Kenya, where half of new adult HIV infections are among 15- to 24-year olds. Interventions targeting this age group have the potential to avert HIV infections among an increasingly large at-risk population. Interactive communication technologies offer a promising platform for reaching young people in engaging ways.

Objective

Tumaini is a narrative-based smartphone game designed to help young Africans protect themselves from HIV. The objective of this study was to pilot test the game, focusing on the data needed to inform a future randomized controlled efficacy trial, including assessments of study feasibility and safety.

Methods

The study took place in Kisumu Town, western Kenya, in spring 2017. The game-based intervention was pilot tested for 16 days with a sample of 60 preadolescents aged 11 to 14 years. Participant recruitment was initiated through schools. Participants were randomly assigned to the control or intervention arms of the study. One parent for each of the intervention arm participants was also recruited (n=30). The intervention arm participants were provided with smartphones on which Tumaini was loaded so that they could play the game at home. Youth completed behavioral surveys at baseline, posttest, and 6-week follow-up. The intervention arm participants provided quantitative feedback on their experience of the game-based intervention at posttest. They and their parents further participated in postintervention focus group discussions. Feasibility-related study metrics were collected on recruitment, enrollment, attrition, safety of participants, and return of phones.

Results

Recruitment and enrollment of the 60 preadolescents and parents were successfully completed within 18 days. No participants were lost to follow-up: all youth completed all 3 waves of the survey and 27 intervention arm youth and 22 parents and caregivers participated in the focus groups. No safety concerns were reported. All phones were returned after the intervention period; none were damaged or lost. All intervention arm participants initiated gameplay, recording a mean exposure time just under 27 hours.

Conclusions

Findings indicate that it is feasible and safe to test a smartphone-based HIV prevention intervention for very young adolescents in urban and peri-urban sub-Saharan Africa by initiating recruitment in schools and temporarily providing youth participants with smartphones on which the game is loaded. A randomized controlled trial powered to assess the efficacy of the game-based intervention is being designed to be carried out in the same geographic area as the pilot, using similar methods.

Trial Registration

ClinicalTrials.gov NCT03054051; https://clinicaltrials.gov/ct2/show/NCT03054051 (Archived by WebCite at http://www.webcitation.org/6wjwpX8Bg.)

International Registered Report Identifier (IRRID)

DERR1-10.2196/11209