Smartphone Apps For Mental Health Research Articles

AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health

In recent years, interest and investment in health and mental health smartphone apps have grown significantly. However, this growth has not been followed by an increase in quality and the incorporation of more advanced features in such applications. This can be explained by an expanding fragmentation of existing mobile platforms along with more restrictive privacy and battery consumption policies, with a consequent higher complexity of developing such smartphone applications. To help overcome these barriers, there is a need for robust, well-designed software development frameworks which are designed to be reliable, power-efficient and ethical with respect to data collection practices, and which support the sense-analyse-act paradigm typically employed in reactive mHealth applications. In this article, we present the AwarNS Framework, a context-aware modular software development framework for Android smartphones, which facilitates transparent, reliable, passive and active data sampling running in the background (sense), on-device and server-side data analysis (analyse), and context-aware just-in-time offline and online intervention capabilities (act). It is based on the principles of versatility, reliability, privacy, reusability, and testability. It offers built-in modules for capturing smartphone and associated wearable sensor data (e.g. IMU sensors, geolocation, Wi-Fi and Bluetooth scans, physical activity, battery level, heart rate), analysis modules for data transformation, selection and filtering, performing geofencing analysis and machine learning regression and classification, and act modules for persistence and various notification deliveries. We describe the framework’s design principles and architecture design, explain its capabilities and implementation, and demonstrate its use at the hand of real-life case studies implementing various mobile interventions for different mental disorders used in clinical practice.

Digital mental health: Perceptions and opinions of Tunisian patients

IntroductionWith the rapid advancement of modern technology, many countries have adopted mental health care systems supplemented by digital means of communication. Are Tunisian patients “ready” for the “digital revolution”?ObjectivesThe aim of our study was to assess perceptions of people living with mental illness on digital mental health.MethodsWe developed a cross-sectional study where we randomly included patients who were treated for a psychiatric disorder in a public or a private practice. Inclusion criteria were: subject 18 years old or older, clinical remission for at least three months. We developed a questionnaire on sociodemographic and clinical variables. We also included questions on patients’ level of interest in using digital mental health services such as teleconsultation and mental health smartphone apps. Perceived obstacles in using digital mental health by patients were also evaluated.ResultsOur sample size was 260 patients. The mean age of our population was 36,4 years old with. The mean distance from the household to the mental health care provider was 17,3 km.Two thirds of the sample had access to a wifi connection at home (172 patients). When asked about the content of internet searches, 66% have already looked for information on their mental health or mental disorders on web pages. Patients were very interested in video teleconsultation with their therapists (72%), psychoeducation apps (68%) and online mood journals (61%). They expressed little to no interest in online exchanges with other patients and medication reminder apps. The most reported obstacles in implementing digital mental health as noted by patients were : lack of perceived effectiveness, virtual communication with their therapist and confidentiality issues.ConclusionsMental health patients in Tunisia expressed a great interest in teleconsultations and online psychoeducation programs. Further research on the willingness of mental health professionals to adopt digital mental health services are needed.Disclosure of InterestNone Declared

Smartphone apps for mental health and wellbeing: A usage survey and machine learning analysis of psychological and behavioral predictors.

Despite the availability of thousands of mental health applications, the extent to which they are used and the factors associated with their use remain largely unknown. The present study aims to (a) assess in a representative US-based population sample the use of smartphone apps for mental health and wellbeing (SAMHW), (b) determine the variables predicting the use of SAMHW, and (c) explore how a set of variables related to mental health, smartphone use, and smartphone "addiction" may be associated with the use of SAMHW. Data was collected via online questionnaire from 1989 adults. The data gathered included information on smartphone use behavior, mental health, and the use of SAMHW. Latent class analysis was used to categorize participants. Machine learning and logistic regression analyses were used to determine the most important predictors of SAMHW use and associations between predictors and outcome variables. While two-thirds of participants had a statistically high probability for using SAMHW, nearly twice more had high probability for using them to improve wellbeing compared to using them to address mental health problems (43% vs. 18%). In both groups, these participants were more likely to be female and in the younger adult age bracket than male and in the adult or older adult age bracket. According to the machine learning model, the most important predictors for using the relevant smartphone apps were variables associated with smartphone problematic use, COVID-19 impact, and mental health problems. Findings from the present study confirm that the use of SAMHW is growing, particularly among younger adult and female individuals who are negatively impacted by problematic smartphone use, COVID-19, and mental health problems. These individuals tend to bypass traditional care via psychotherapy or psychopharmacology, relying instead on smartphones to address mental health conditions or improve wellbeing. Advising users of these apps to also seek professional help and promoting efforts to prove the efficacy and safety of SAMHW would seem necessary.

Encouraging help-seeking and engagement in a mental health app: What young people want.

Although many young people evince a preference for digital mental health support over face to face, engagement with smartphone apps for mental health remains relatively low, particularly in young people not accessing professional support services. While some of this can be attributed to stigma or embarrassment, there is also a need for developers and researchers to investigate features which promote long-term usage. MoodyTunes is a music-based smartphone app that has been co-designed with young people to help them develop effective self-management strategies for mood through music listening. Four focus groups with young people (N = 24, aged 13-25) were conducted to workshop how MoodyTunes could promote help-seeking behaviours and long-term engagement with the app. Online discussions following a broad topic guide were held in groups of 4-7 in which participants explored topics including the use of social features, promoting help-seeking behaviour, gamification and mood tracking. Participants also viewed visual materials and offered ideas about visual design both verbally and on paper. A general inductive approach was taken to analysis of qualitative data. Three primary themes were identified in the data: privacy; user empowerment; and engagement vs. achievement. Participants voiced a strong desire to remain anonymous and to feel empowered to make their own decisions about accessing professional help. Sensitive use of language was noted as critical, with some participants noting that the use of more directive language could have a negative impact on their mental health and that motivational features should focus on engagement with the primary aim of the app rather than rewarding achievement. Findings highlight the benefits of a co-design approach and provide key insights into how mental health apps may be able to improve long-term user engagement with young people.

Developing a smartphone App based on the Unified Protocol for the transdiagnostic treatment of emotional disorders: A qualitative analysis of users and professionals' perspectives

Emotional Disorders have become the most prevalent mental disorders in the world. In relation to their high prevalence, mental health care from public health services faces major challenges. Consequently, finding solutions to deliver cost-effective evidence-based treatments has become a main goal of today's clinical psychology. Smartphone apps for mental health have emerged as a potential tool to deal with it. However, despite their effectiveness and advantages, several studies suggest the need to involve patients and professionals in the design of these apps from the first stage of the development process. Thus, this study aimed to identify, from both a group of users and professionals, the needs, opinions, expectations and design aspects of a future smartphone app based in the Unified Protocol (UP), that will allow to develop the subsequent technical work of the app engineers. Two focus groups were conducted, one with 7 professionals and the other with 9 users, both groups familiar with the UP. A thematic content analysis based in grounded theory was performed in order to define emergent categories of analysis derived from the interview data. The results revealed 8 common topics in both focus groups and 5 specific key topics were identified in the professionals' focus group. Of the total proposals, 93 % of the professionals' and 78 % of the users' are implemented in the preliminary version of the app.

Systematic assessment of the quality and integrity of popular mental health smartphone apps using the American Psychiatric Association's app evaluation model.

Mobile phones are playing an increasingly important role in supporting mental health, by providing confidential, accessible and scalable support for individuals who may not seek or have means of accessing professional help. There are concerns, however, that many apps claiming to support mental health do not meet professional, ethical or evidence-based standards. App store search algorithms favour popularity (reviews and downloads) and commercial factors (in-app purchases), with what appears to be low prioritisation of safety or effectiveness features. In this paper, the most visible 100 apps for “depression”, “anxiety” and/or “mood” on the Google Play and Apple App stores were selected for assessment using the American Psychiatric Association App Evaluation model. This model systematically assesses apps across five broad steps: accessibility, integrity, clinical and research evidence base, user engagement and interoperability. Assessment is hierarchical, with the most fundamental requirements of apps assessed first, with apps excluded at each step if they do not meet the criteria. The relationship between app quality and app store visibility was first analysed. App quality was also compared across four different app function types: mental health promotion or psychoeducation; monitoring or tracking; assessment or prevention; and intervention or treatment. Of the 92 apps assessed (after eight failed to meet inclusion criteria), half failed to meet the first criterion step of accessibility, and a further 20% of the remaining apps failed to meet the second criterion step of security and privacy. Only three of the 10 apps most visible on app stores met the criteria for research/clinical base and engagement/ease of use, and only one app fulfilled all five criterion steps of the evaluation model. Quality did not differ significantly across app function type. There was no significant correlation between app quality and app store visibility, which presents a potential risk to vulnerable consumers. The findings of this review highlight the need for greater accountability of app developers to meet, and report, at least minimum quality and integrity standards for their apps. Recommendations are also provided to assist users and clinicians to make informed choices in their selection of reputable and effective mental health apps.

The feasibility of using smartphone apps as treatment components for depressed suicidal outpatients.

Mental health smartphone apps could increase the safety and self-management of patients at risk of suicide, but it is still unclear whether it is feasible to integrate such apps into routine mental healthcare. This study reports on the feasibility of using a safety planning app (BackUp) and a self-monitoring app (mEMA) as components of the routine treatment of depressed outpatients with suicidal ideation. Clinicians were trained in working with both of the apps, and they invited their eligible patients with suicidal ideation for study participation. Patients used the apps for 3 months and discussed these with their clinician during treatment. Patients completed assessments at baseline (T0), 4 weeks (T1) and post-test (T2, 12 weeks after baseline). Both patients and clinicians also participated in telephone interviews. Feasibility was assessed in terms of usability (score > 70 on System Usability Scale, SUS), acceptability (score > 20 on Client Satisfaction Questionnaire-8, CSQ-8), and uptake (sufficient rates of component completion and app usage in treatment). The sample included 17 adult outpatients (52.9% male, age range 20–50 years) diagnosed with a depressive disorder and suicidal ideation at baseline. BackUp was rated by patients at above the cut-off scores for usability (SUS mean score at T1 75.63 and at T2 77.71) and acceptability (CSQ-8 mean score at T1 23.42 and at T2 23.50). mEMA was similarly rated (SUS mean score at T1 75.83 and at T2 76.25; CSQ-8 mean score at T1 23.92 and at T2 22.75). Telephone interviews with patients and clinicians confirmed the usability and acceptability. The uptake criteria were not met. Our findings suggest that mobile safety planning and mobile self-monitoring can be considered acceptable and usable as treatment components for depressed suicidal outpatients, but the integration of apps into routine treatment needs to be further explored.

Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series.

Engagement with mental health smartphone apps is an understudied but critical construct to understand in the pursuit of improved efficacy. This study aimed to examine engagement as a multidimensional construct for a novel app called HabitWorks. HabitWorks delivers a personalized interpretation bias intervention and includes various strategies to enhance engagement such as human support, personalization, and self-monitoring. We examined app use in a pilot study (n=31) and identified 5 patterns of behavioral engagement: consistently low, drop-off, adherent, high diary, and superuser. We present a series of cases (5/31, 16%) from this trial to illustrate the patterns of behavioral engagement and cognitive and affective engagement for each case. With rich participant-level data, we emphasize the diverse engagement patterns and the necessity of studying engagement as a heterogeneous and multifaceted construct. Our thorough idiographic exploration of engagement with HabitWorks provides an example of how to operationalize engagement for other mental health apps.

Digital Therapeutic Alliance With Fully Automated Mental Health Smartphone Apps: A Narrative Review.

Fully automated mental health smartphone apps show strong promise in increasing access to psychological support. Therefore, it is crucial to understand how to make these apps effective. The therapeutic alliance (TA), or the relationship between healthcare professionals and clients, is considered fundamental to successful treatment outcomes in face-to-face therapy. Thus, understanding the TA in the context of fully automated apps would bring us insights into building effective smartphone apps which engage users. However, the concept of a digital therapeutic alliance (DTA) in the context of fully automated mental health smartphone apps is nascent and under-researched, and only a handful of studies have been published in this area. In particular, no published review paper examined the DTA in the context of fully automated apps. The objective of this review was to integrate the extant literature to identify research gaps and future directions in the investigation of DTA in relation to fully automated mental health smartphone apps. Our findings suggest that the DTA in relation to fully automated smartphone apps needs to be conceptualized differently to traditional face-to-face TA. First, the role of bond in the context of fully automated apps is unclear. Second, human components of face-to-face TA, such as empathy, are hard to achieve in the digital context. Third, some users may perceive apps as more non-judgmental and flexible, which may further influence DTA formation. Subdisciplines of computer science, such as affective computing and positive computing, and some human-computer interaction (HCI) theories, such as those of persuasive technology and human-app attachment, can potentially help to foster a sense of empathy, build tasks and goals and develop bond or an attachment between users and apps, which may further contribute to DTA formation in fully automated smartphone apps. Whilst the review produced a relatively limited quantity of literature, this reflects the novelty of the topic and the need for further research.

Is There an App for That? A Review of Popular Apps for Depression, Anxiety, and Well-Being

Smartphone apps for mental health (MH apps) and wellness reach millions of people and have the potential to reduce the public health burden of common mental health problems. Thousands of MH apps are currently available, but real-world consumers generally gravitate toward a very small number of them. Given their widespread use and the lack of empirical data on their effects, understanding the content within MH apps is an important public health priority. An overview of the content within these apps could be an important resource for users, clinicians, researchers, and experts in digital health. Here, we offer summaries of the content within highly popular MH apps. Our aim is not to provide comprehensive coverage of the MH app space. Rather, we sought to describe a small number of highly popular MH apps in three common categories: meditation and mindfulness, journaling and self-monitoring, and AI chatbots. We downloaded the two most popular apps in each of these categories (respectively: Calm, Headspace; Reflectly, Daylio; Replika, Wysa). These six apps accounted for 83% of monthly active users of MH apps. For each app, we summarize information in four domains: intervention content, features that may contribute to engagement, the app’s target audience, and differences between the app’s free version and its premium version. In the years ahead, rigorous evaluations of highly popular MH apps will be needed. Until then, we hope that this overview helps readers stay up-to-date on the content within some of the most widely used digital mental health interventions.

Informing the Design of Mental Health Smartphone Apps for Adolescents

The purpose of this work is to obtain a set of best practices for the design of mental health smartphone applications (MHSAs) for an adolescent user base. The authors carried out a systematic literature review combined with a bibliographic coupling analysis to identify relevant literature, and then a thematic analysis of the literature to identify core principles. These efforts led to a framework of nine general principles for the creation and design of MHSAs. The nine core principles identified were: Using evidence-based treatments, encouraging intrinsic motivation in users, using extrinsic behavior triggers, providing professional support, enabling social support, engaging users during the development process, using user-centered design principles, including a parental mode, and protecting patients’ privacy.

Smartphone Apps for College Mental Health: A Concern for Privacy and Quality of Current Offerings.

The expanding need for mental health services on college campuses has increased interest in smartphone apps for mental health. Although apps can be effective tools, they can also present risks regarding privacy and lack of efficacy, and little is known about the nature or quality of mental health apps that colleges are recommending to students. This study sought to fill that knowledge gap. Sixty college counseling center Web sites were examined for suggested mobile apps offered as resources for students. The features of each app were assessed, including date of last update, privacy policy, and whether any research had been published in peer-reviewed journals. Twenty-six college counseling centers suggested a total of 218 unique apps. Of these, 28% were no longer available for download. Of the 158 remaining apps, only 44% had been updated in the past 6 months, and 39% had no privacy policy. Of the 97 existing apps with privacy policies, 88% collected user's data and 49% shared users' data with third parties. Efficacy studies had been published in peer-reviewed journals for only 16% of existing apps. College counseling centers are not suggesting safe or up-to-date mobile apps. There is an urgent need to help centers identify, curate, and recommend more appropriate apps. The authors suggest that centers use the American Psychiatric Association's app evaluation framework; develop an app review process, with input from clinicians and students; or employ a digital navigator to select apps and help connect students to the appropriate app.

Young People's Response to Six Smartphone Apps for Anxiety and Depression: Focus Group Study.

BackgroundSuicide is one of the most frequent causes of death in young people worldwide. Depression lies at the root of this issue, a condition that has a significant negative impact on the lives of those who experience it and on society more generally. However, 80% of affected young people do not obtain professional help for depression and other mental health issues. Therefore, a key challenge is to find innovative and appealing ways to engage young people in learning to manage their mental health. Research suggests that young people prefer to access anonymous Web-based programs rather than get face-to-face help, which has led to the development of numerous smartphone apps. However, the evidence indicates that not all of these apps are effective in engaging the interest of young people who are most in need of help.ObjectiveThe study aimed to investigate young people’s response to six currently available smartphone apps for mental health and to identify features that young people like and dislike in such apps.MethodsFocus groups were conducted with 23 young people aged 13 to 25 years in which they viewed and used six smartphone apps for mental health. A general inductive approach following a realist paradigm guided data analysis.ResultsThe results revealed that young people value autonomy and the opportunity to personalize experiences with these apps above other things. Finding a balance between simplicity and informativeness is also an important factor.ConclusionsApp developers need to consider using participant-design frameworks to ensure that smartphone apps are providing what young people want in a mental health app. Solutions to the need for personalization and increasing user engagement are also crucially needed.

Smartphone, Social Media, and Mental Health App Use in an Acute Transdiagnostic Psychiatric Sample.

BackgroundDespite high rates of smartphone ownership in psychiatric populations, there are very little data available characterizing smartphone use in individuals with mental illness. In particular, few studies have examined the interest and use of smartphones to support mental health.ObjectiveThis study aimed to (1) characterize general smartphone app and social media usage in an acute transdiagnostic psychiatric sample with high smartphone ownership, (2) characterize current engagement and interest in the use of smartphone apps to support mental health, and (3) test demographic and clinical predictors of smartphone use.MethodsThe survey was completed by all patients attending an adult partial hospital program, with no exclusion criteria. The primary outcomes were frequency of use of general and mental health smartphone apps (smartphone use survey) and the frequency of social media use and phone-checking behavior (mobile technology engagement scale).ResultsOverall, 322 patients (aged mean 33.49, SD 13.87 years; 57% female) reported that their most frequently used app functions were texting, email, and social media. Younger individuals reported more frequent use across most types of apps. Baseline depression and anxiety symptoms were not associated with the frequency of app use. Participants reported health care, calendar, and texting apps as most supportive of their mental health and social media apps as most negatively affecting their mental health. Most patients reported an interest in (73.9% [238/322]) and willingness to use (81.3% [262/322]) a smartphone app to monitor their mental health condition. Less than half (44%) of the patients currently had a mental health app downloaded on their smartphone, with mindfulness and meditation apps being the most common type.ConclusionsThe high interest in and willingness to use mental health apps, paired with the only moderate current reported usage, indicate a potential unmet treatment opportunity in psychiatric populations. There is potential to optimize non-mental health–specific apps to better support the needs of those with mental illness and to design a new wave of mental health apps that match the needs of these populations as well as the way they use smartphones in daily life.

Veterans' Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences.

BackgroundMental health smartphone apps provide support, skills, and symptom tracking on demand and come at minimal to no additional cost to patients. Although the Department of Veterans Affairs has established itself as a national leader in the creation of mental health apps, veterans’ attitudes regarding the use of these innovations are largely unknown, particularly among rural and aging populations who may benefit from increased access to care.ObjectiveThe objective of our study was to examine veterans’ attitudes toward smartphone apps and to assess whether openness toward this technology varies by age or rurality.MethodsWe conducted semistructured qualitative interviews with 66 veterans from rural and urban areas in Maine, Arkansas, and California. Eligible veterans aged 18 to 70 years had screened positive for postraumatic stress disorder (PTSD), alcohol use disorder, or major depressive disorder, but a history of mental health service utilization was not required. Interviews were digitally recorded, professionally transcribed, and coded by a research team using an established codebook. We then conducted a thematic analysis of segments pertaining to smartphone use, informed by existing theories of technology adoption.ResultsInterviews revealed a marked division regarding openness to mental health smartphone apps, such that veterans either expressed strongly positive or negative views about their usage, with few participants sharing ambivalent or neutral opinions. Differences emerged between rural and urban veterans’ attitudes, with rural veterans tending to oppose app usage, describe smartphones as hard to navigate, and cite barriers such as financial limitations and connectivity issues, more so than urban populations. Moreover, rural veterans more often described smartphones as being opposed to their values. Differences did not emerge between younger and older (≥50) veterans regarding beliefs that apps could be effective or compatible with their culture and identity. However, compared with younger veterans, older veterans more often reported not owning a smartphone and described this technology as being difficult to use.ConclusionsOpenness toward the use of smartphone apps in mental health treatment may vary based on rurality, and further exploration of the barriers cited by rural veterans is needed to improve access to care. In addition, findings indicate that older patients may be more open to integrating technology into their mental health care than providers might assume, although such patients may have more trouble navigating these devices and may benefit from simplified app designs or smartphone training. Given the strong opinions expressed either for or against smartphone apps, our findings suggest that apps may not be an ideal adjunctive treatment for all patients, but it is important to identify those who are open to and may greatly benefit from this technology.

Mobile telephone apps first need data security and efficacy.

The recent article on mobile telephone software applications (apps) in mental health practice1 highlights many potential benefits of smartphone apps for mental health but also inadvertently demonstrates the challenges beyond what the authors may have realised. The paper refers readers to the National Health Service (NHS) Health Apps Library (http://apps.nhs.uk) when discussing psychological apps. However, in recent months the Library has been closed amid serious concerns that apps featured on the site may not be clinically effective2 and may suffer from both security and privacy flaws that left patient data exposed.3 This rapid change in the smartphone apps landscape came suddenly and rapidly and demonstrates how much we still do not know about using this technology for healthcare. What we do know is that a firm foundation in privacy, security and efficacy is critical. Just as we demand clinical evidence and safety data when considering a new medication, we should also demand the same high standards when considering a new app. The potential of smartphone apps for mental health is as bright as the authors allude to, but the challenges are turning out to also be greater than many realised.

Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments.

BackgroundThe number of mental health apps (MHapps) developed and now available to smartphone users has increased in recent years. MHapps and other technology-based solutions have the potential to play an important part in the future of mental health care; however, there is no single guide for the development of evidence-based MHapps. Many currently available MHapps lack features that would greatly improve their functionality, or include features that are not optimized. Furthermore, MHapp developers rarely conduct or publish trial-based experimental validation of their apps. Indeed, a previous systematic review revealed a complete lack of trial-based evidence for many of the hundreds of MHapps available.ObjectiveTo guide future MHapp development, a set of clear, practical, evidence-based recommendations is presented for MHapp developers to create better, more rigorous apps.MethodsA literature review was conducted, scrutinizing research across diverse fields, including mental health interventions, preventative health, mobile health, and mobile app design.ResultsSixteen recommendations were formulated. Evidence for each recommendation is discussed, and guidance on how these recommendations might be integrated into the overall design of an MHapp is offered. Each recommendation is rated on the basis of the strength of associated evidence. It is important to design an MHapp using a behavioral plan and interactive framework that encourages the user to engage with the app; thus, it may not be possible to incorporate all 16 recommendations into a single MHapp.ConclusionsRandomized controlled trials are required to validate future MHapps and the principles upon which they are designed, and to further investigate the recommendations presented in this review. Effective MHapps are required to help prevent mental health problems and to ease the burden on health systems.

Use of smartphone apps for mental health: Can they translate to a smart and effective mental health care?

Use of smartphone apps for mental health: Can they translate to a smart and effective mental health care?