Mental Health Apps Research Articles

Mental Health Weekly would like to know your thoughts on mental health apps

In recent years we have seen tremendous growth in the availability of mental health apps and other virtual tools for patient treatment and support. Are you finding any of these useful for clients in your organization? Send us your comments via email to garyenos5@gmail.com; we will plan to include some of your thoughts in our coverage of this topic in our Innovations Issue in October.

MHW would like to know your thoughts on mental health apps

In recent years we have seen tremendous growth in the availability of mental health apps and other virtual tools for patient treatment and support. Are you finding any of these useful for clients in your organization? Email your comments to garyenos5@gmail.com; we will plan to include some of your thoughts in our coverage of this topic in our Innovations issue in October.

Investigating the Effect of Personalization in a Mental Health App on Depressive Symptoms

Mental health apps have shown promise in improving quality of life in a variety of contexts; however, it is unclear how specific internal app features influence the effectiveness of such apps. The purpose of this study is to investigate the effect of app feature personalization, including avatar customization and naming, on depressive symptoms. A total of 59 students completed a 14-day trial utilizing a novel cognitive behavioral therapy-based app developed exclusively for this study. The study entailed a two-group experimental design with randomization to either a personalization or no-personalization version of the app. AirHeart successfully reduced depressive symptoms over the two-week period, but personalization of an avatar did not further this reduction.

Understanding users' perspectives on mobile apps for anxiety management.

Anxiety disorders are the most common type of mental health problem. The potential of apps to improve mental health has led to an increase in the number of anxiety apps available. Even though anxiety apps hold the potential to enhance mental health care for individuals, there is relatively little knowledge concerning users’ perspectives. This mixed-methods study aims to understand the nature of user burden and engagement with mental health apps (MHapps) targeting anxiety management, in order to identify ways to improve the design of these apps. Users’ perspectives on these apps were gathered by analyzing 600 reviews from 5 apps on the app stores (Study 1), and conducting 15 interviews with app users (Study 2). The results shed light on several barriers to adoption and sustained use. Users appreciate apps that offer content variation, customizability, and good interface design, and often requested an enhanced, personalized experience to improve engagement. We propose addressing the specific app quality issues identified through human-centered design, more personalized content delivery, and by improving features for social and therapeutic support.

Potential and Pitfalls of Mobile Mental Health Apps in Traditional Treatment: An Umbrella Review.

While the rapid growth of mobile mental health applications has offered an avenue of support unbridled by physical distance, time, and cost, the digitalization of traditional interventions has also triggered doubts surrounding their effectiveness and safety. Given the need for a more comprehensive and up-to-date understanding of mobile mental health apps in traditional treatment, this umbrella review provides a holistic summary of their key potential and pitfalls. A total of 36 reviews published between 2014 and 2022—including systematic reviews, meta-analyses, scoping reviews, and literature reviews—were identified from the Cochrane library, Medline (via PubMed Central), and Scopus databases. The majority of results supported the key potential of apps in helping to (1) provide timely support, (2) ease the costs of mental healthcare, (3) combat stigma in help-seeking, and (4) enhance therapeutic outcomes. Our results also identified common themes of apps’ pitfalls (i.e., challenges faced by app users), including (1) user engagement issues, (2) safety issues in emergencies, (3) privacy and confidentiality breaches, and (4) the utilization of non-evidence-based approaches. We synthesize the potential and pitfalls of mental health apps provided by the reviews and outline critical avenues for future research.

Geri-Mobile Health: Feasibility of a VA Mental Health Mobile Apps Coaching Program for Older Veterans

ABSTRACT Objectives This program evaluation examined the feasibility, acceptability, and preliminary effects of an individualized coaching program to help older Veterans use VA mental health mobile apps to address mental health and well-being goals. Methods The program delivers individual technical and clinical support to facilitate the use of mobile devices and VA apps. Participants completed assessments of mobile device proficiency, app use frequency, app comfort, quality of life, and mental health symptoms (completed by a subset, n = 11) pre- and post-participation. Results Of 24 enrollees, 17 completed the program and received an average of 7.58 (SD = 2.87) sessions including the initial assessment. Mobile device proficiency (t (16) = −3.80, p = .002) and number of days/week apps were used (t (16) = −2.34, p = .032) increased significantly from pre- to post-participation. Depressive and anxiety scores decreased significantly (t (10) = 3.16, p = .010; t (10) = 3.29, p = .008) among the subset completing those measures. Overall satisfaction was high; 100% reported they would recommend the program. Conclusions Findings suggest the program is feasible, highly acceptable, and increases mobile device proficiency and use of apps. Clinical Implications Coaching programs can equip older adults with the skills to use mental health apps.

Did Usage of Mental Health Apps Change during COVID-19? A Comparative Study Based on an Objective Recording of Usage Data and Demographics.

This paper aims to objectively compare the use of mental health apps between the pre-COVID-19 and during COVID-19 periods and to study differences amongst the users of these apps based on age and gender. The study utilizes a dataset collected through a smartphone app that objectively records the users’ sessions. The dataset was analyzed to identify users of mental health apps (38 users of mental health apps pre-COVID-19 and 81 users during COVID-19) and to calculate the following usage metrics; the daily average use time, the average session time, the average number of launches, and the number of usage days. The mental health apps were classified into two categories: guidance-based and tracking-based apps. The results include the increased number of users of mental health apps during the COVID-19 period as compared to pre-COVID-19. Adults (aged 24 and above), compared to emerging adults (aged 15–24 years), were found to have a higher usage of overall mental health apps and guidance-based mental health apps. Furthermore, during the COVID-19 pandemic, males were found to be more likely to launch overall mental health apps and guidance-based mental health apps compared to females. The findings from this paper suggest that despite the increased usage of mental health apps amongst males and adults, user engagement with mental health apps remained minimal. This suggests the need for these apps to work towards improved user engagement and retention.

Apprentices' Attitudes Toward Using a Mental Health Mobile App to Support Healthy Coping: Mixed Methods Study.

BackgroundApprenticeships are a common pathway for young people transitioning into the workforce. Apprentices often face many employment-related challenges and have high levels of psychological distress, drug and alcohol use, and suicidal ideation. Little is known about the attitudes of apprentices toward using smartphone apps to support their mental health and the content that would engage them.ObjectiveThis study explored (1) apprentices’ interest in using an app to support their mental health and (2) the healthy coping strategies used to manage their mental well-being in the face of workplace challenges, in order to inform future app content.MethodsA mixed methods study was conducted with 54 apprentices (50/54 male, 93%) with a mean age of 22.7 (SD 5.7) years. Participants completed a survey on preferred ways of using an app to support mental health. Across 8 focus groups, participants were asked to describe healthy strategies they used to cope with occupational stressors.ResultsOnly 11% (6/54) of participants currently used a well-being app, but there was high interest in using an app to support their friends (47/54 participants, 87%) and develop self-help strategies to manage or prevent mental health issues (42/54 participants, 78%). Four major types of coping behaviors were identified: (1) social connection for disclosure, advice, and socializing; (2) pleasurable activities, such as engaging in hobbies, time-outs, and developing work-life separation; (3) cognitive approaches, including defusing from thoughts and cognitive reframing; and (4) self-care approaches, including exercise, a healthy diet, and getting adequate sleep.ConclusionsThere is interest among apprentices to use an app with a positive well-being focus that helps them to develop self-management skills and support their friends. Apprentices utilized a range of healthy behaviors to cope with workplace stressors that can be incorporated into mental health apps to improve uptake and engagement. However, many of the preferred coping strategies identified are not those focused on by currently available apps, indicating the need for more targeted digital interventions for this group.

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.

Your Best Life: More Apps for Better Mental Health?

Your Best Life: More Apps for Better Mental Health?

Artificial intelligence and machine learning in mobile apps for mental health: A scoping review.

Mental health conditions can have significant negative impacts on wellbeing and healthcare systems. Despite their high prevalence worldwide, there is still insufficient recognition and accessible treatments. Many mobile apps are available to the general population that aim to support mental health needs; however, there is limited evidence of their effectiveness. Mobile apps for mental health are beginning to incorporate artificial intelligence and there is a need for an overview of the state of the literature on these apps. The purpose of this scoping review is to provide an overview of the current research landscape and knowledge gaps regarding the use of artificial intelligence in mobile health apps for mental health. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and Population, Intervention, Comparator, Outcome, and Study types (PICOS) frameworks were used to structure the review and the search. PubMed was systematically searched for randomised controlled trials and cohort studies published in English since 2014 that evaluate artificial intelligence- or machine learning-enabled mobile apps for mental health support. Two reviewers collaboratively screened references (MMI and EM), selected studies for inclusion based on the eligibility criteria and extracted the data (MMI and CL), which were synthesised in a descriptive analysis. 1,022 studies were identified in the initial search and 4 were included in the final review. The mobile apps investigated incorporated different artificial intelligence and machine learning techniques for a variety of purposes (risk prediction, classification, and personalisation) and aimed to address a wide range of mental health needs (depression, stress, and suicide risk). The studies' characteristics also varied in terms of methods, sample size, and study duration. Overall, the studies demonstrated the feasibility of using artificial intelligence to support mental health apps, but the early stages of the research and weaknesses in the study designs highlight the need for more research into artificial intelligence- and machine learning-enabled mental health apps and stronger evidence of their effectiveness. This research is essential and urgent, considering the easy availability of these apps to a large population.

The Effect of Mental Health App Customization on Depressive Symptoms in College Students: Randomized Controlled Trial.

BackgroundMental health apps have shown promise in improving mental health symptoms, including depressive symptoms. However, limited research has been aimed at understanding how specific app features and designs can optimize the therapeutic benefits and adherence to such mental health apps.ObjectiveThe primary purpose of this study is to investigate the effect of avatar customization on depressive symptoms and adherence to use a novel cognitive behavioral therapy (CBT)–based mental health app. The secondary aim is to examine whether specific app features, including journaling, mood tracking, and reminders, affect the usability of the mental health app.MethodsCollege students were recruited from a university study recruitment pool website and via flyer advertisements throughout campus. A total of 94 participants completed a randomized controlled trial in which they were randomized to either customization or no customization version of the app. Customization involved personalizing a virtual avatar and a travel vehicle to one’s own preferences and use of one’s name throughout the app. Participants completed a 14-day trial using a novel CBT-based mental health app called AirHeart. Self-report scores for depressive symptoms, anxiety, and stress were measured at baseline and after the intervention. Postintervention survey measures also included usability and avatar identification questionnaires.ResultsOf the 94 enrolled participants, 83 (88%) completed the intervention and postintervention assessments. AirHeart app use significantly reduced symptoms of depression (P=.006) from baseline to the end of the 2-week intervention period for all participants, regardless of the customization condition. However, no differences in depressive symptoms (P=.17) or adherence (P=.80) were observed between the customization (39/83, 47%) and no customization (44/83, 53%) conditions. The frequency of journaling, usefulness of mood tracking, and helpfulness of reminders were not associated with changes in depressive symptoms or adherence (P>.05). Exploratory analyses showed that there were 3 moderate positive correlations between avatar identification and depressive symptoms (identification: r=−0.312, P=.02; connection: r=−0.305, P=.02; and lack of relatability: r=0.338, P=.01).ConclusionsThese results indicate that CBT mental health apps, such as AirHeart, have the potential to reduce depressive symptoms over a short intervention period. The randomized controlled trial results demonstrated that customization of app features, such as avatars, does not further reduce depressive symptoms over and above the CBT modules and standard app features, including journal, reminders, and mood tracking. However, further research elucidating the relationship between virtual avatar identification and mental health systems is needed as society becomes increasingly more digitized. These findings have potential implications for improving the optimization of mental health app designs.Trial RegistrationOpen Science Framework t28gm; https://osf.io/t28gm

Supporting Self-management and Quality of Life in Bipolar Disorder With the PolarUs App (Alpha): Protocol for a Mixed Methods Study.

BackgroundQuality of life (QoL) is increasingly being recognized as a key outcome of interventions for bipolar disorder (BD). Mobile phone apps can increase access to evidence-based self-management strategies and provide real-time support. However, although individuals with lived experiences desire support with monitoring and improving broader health domains, existing BD apps largely target mood symptoms only. Further, evidence from the broader mobile health (mHealth) literature has shown that the desires and goals of end users are not adequately considered during app development, and as a result, engagement with mental health apps is suboptimal. To capitalize on the potential of apps to optimize wellness in BD, there is a need for interventions developed in consultation with real-world users designed to support QoL self-monitoring and self-management.ObjectiveThis mixed methods pilot study was designed to evaluate the alpha version of the newly developed PolarUs app, developed to support QoL self-monitoring and self-management in people with BD. Co-designed using a community-based participatory research framework, the PolarUs app builds on the web-based adaptation of a BD-specific QoL self-assessment measure and integrates material from a web-based portal providing information on evidence-informed self-management strategies in BD. The primary objectives of this project were to evaluate PolarUs app feasibility (via behavioral use metrics), the impact of PolarUs (via the Brief Quality of Life in Bipolar Disorder scale, our primary outcome measure), and explore engagement with the PolarUs app (via quantitative and qualitative methods).MethodsParticipants will be residents of North America (N=150), aged >18 years, with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnosis of BD type 1, BD type 2, or BD not otherwise specified as assessed by structured diagnostic interview. An embedded mixed methods research design will be adopted; qualitative interviews with a purposefully selected subsample (approximately, n=30) of participants will be conducted to explore in more depth feasibility, impact, and engagement with the PolarUs app over the 12-week study period.ResultsAt the time of publication of this protocol, the development of the alpha version of the PolarUs app was complete. Participant enrollment has begun in June 2022. Data collection is expected to be completed by December 2022.ConclusionsBeyond contributing knowledge on the feasibility and impact of a novel app to support QoL and self-management in BD, this study will also provide new insights related to engagement with mHealth apps. Furthermore, it will function as a case study of successful co-design between people with BD, health care providers, and BD researchers, providing a template for the future use of community-based participatory research frameworks in mHealth intervention development. The results will be used to further refine the PolarUs app and inform the design of a larger clinical trial.International Registered Report Identifier (IRRID)PRR1-10.2196/36213

Mobile applications may be the future of veteran mental health support but do veterans know yet? A survey of app knowledge and use.

Given the substantial investment in the development of mental health mobile applications (apps), information about penetration in the patient populations of interest is critical. This study describes the proportion of veterans who are knowledgeable of and utilize the Department of Veteran Affairs (VA) and Department of Defense (DoD) mental health apps. A cross-sectional survey of 140 veterans was conducted in primary care and outpatient mental health clinics at a large VA facility. Ninety-one percent of veterans (n = 127) reported smartphone ownership. Of these, 42.5% and 20.4% had heard of and used at least one of the 22 VA/DoD mental health apps, respectively. When veterans were asked to pick the individual VA/DoD apps they had previously used from a list, the proportion of participants who reported prior use ranged from 0% (Moving Forward) to 6.5% (Mindfulness Coach). Treatment for psychiatric problems relevant to the apps did not predict veteran knowledge/use of the VA/DoD apps. Rates of app use remained low among veterans reporting symptoms/diagnoses apps were designed to address (e.g., 7.5% of veterans who reported posttraumatic stress disorder (PTSD) had used PTSD Coach). The most common barrier to app use (endorsed by 65.7% of participants) was awareness of the apps. Expansion of existing VA/DoD efforts to educate patients and providers treating relevant conditions is indicated. Evaluation of evidence-based mobile health support specialists in clinical settings may also be indicated. This study provides critical information to guide future dissemination efforts and to help evaluate the impact of investments to date. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Adolescents accept digital mental health support in schools: A co-design and feasibility study of a school-based app for UK adolescents

Schools in the UK are required to provide frontline mental health promotion and prevention to adolescents, but with few resources. School-hosted mHealth is one option which could meet needs. This study co-designed and feasibility tested a self-help, school hosted, digital intervention for adolescents showing early symptoms of deteriorating mental health. Via extensive co-design, we produced a youth-targeted web-app (MindMate2) and a low-intensity parent component (Partner2U). Feasibility was tested in four UK high schools with n = 31 young people (15-17y). We specified rules for progression to an effectiveness trial, tested candidate primary outcome measures and conducted an exploratory cost-effectiveness analysis. Co-design produced MindMate2U to be a six-week, self-help, smartphone-delivered program targeting risk and protective factors for adolescent mental health. Young people's MindMate2U account was set up by school after which they progressed independently through six topics of their choosing. User ratings (n = 19) and post- intervention interviews (n = 6) showed resource acceptability. We met our recruitment, retention and pre-post measure completion targets and identified the Strengths and Difficulties Questionnaire as the most sensitive outcome measure. This study established the feasibility of a co-designed, mental health app as a low-burden, school-hosted resource for symptomatic young people and opens up new possibilities for the integration of mHealth in schools. Support via schools to parents of symptomatic young people may need to be universal rather than targeted. Following some refinements of MindMate2U, a phase 2 randomised controlled trial is warranted to test its effectiveness.

FDA Commissioner Talks Opioid Crisis, Health Disparities, AI Risks

FDA Commissioner Talks Opioid Crisis, Health Disparities, AI Risks

Predicting states of elevated negative affect in adolescents from smartphone sensors: a novel personalized machine learning approach.

Adolescence is characterized by profound change, including increases in negative emotions. Approximately 84% of American adolescents own a smartphone, which can continuously and unobtrusively track variables potentially predictive of heightened negative emotions (e.g. activity levels, location, pattern of phone usage). The extent to which built-in smartphone sensors can reliably predict states of elevated negative affect in adolescents is an open question. Adolescent participants (n = 22; ages 13-18) with low to high levels of depressive symptoms were followed for 15 weeks using a combination of ecological momentary assessments (EMAs) and continuously collected passive smartphone sensor data. EMAs probed negative emotional states (i.e. anger, sadness and anxiety) 2-3 times per day every other week throughout the study (total: 1145 EMA measurements). Smartphone accelerometer, location and device state data were collected to derive 14 discrete estimates of behavior, including activity level, percentage of time spent at home, sleep onset and duration, and phone usage. A personalized ensemble machine learning model derived from smartphone sensor data outperformed other statistical approaches (e.g. linear mixed model) and predicted states of elevated anger and anxiety with acceptable discrimination ability (area under the curve (AUC) = 74% and 71%, respectively), but demonstrated more modest discrimination ability for predicting states of high sadness (AUC = 66%). To the extent that smartphone data could provide reasonably accurate real-time predictions of states of high negative affect in teens, brief 'just-in-time' interventions could be immediately deployed via smartphone notifications or mental health apps to alleviate these states.

Enhancing mental health literacy in obsessive-compulsive disorder and reducing stigma via smartphone: A randomized controlled trial protocol

BackgroundObsessive-compulsive disorder (OCD) is a disabling disorder that can be successfully treated. However, individuals with OCD do not seek or delay seeking treatment. This delay may be explained by poor mental health literacy and stigmatizing attitudes toward OCD in community. In order to work on these variables, a gamified mental health mobile application (app) called esTOCma has been developed. The purpose of this study is to describe the protocol for a study to test the efficacy of esTOCma, increasing mental health literacy and help-seeking intention, reducing the stigmatizing attitudes and social distance suffered by people with OCD, as well as the distress associated with obsessive-compulsive symptoms. MethodsA randomized controlled trial with a crossover design with two conditions (immediate-use App group versus delayed-use App group) will be conducted on a non-clinical adult sample of the community of a minimum size of 200 participants. Participants in the immediate-use App group will start using the app at baseline until completion (10 days); whereas participants in the delayed-use App group will wait 10 days, and then start using the app until completion (10 days). The outcomes will be measured at four assessment points (baseline; 10 days from baseline; and 20 days from baseline; and after 3 months). The following instruments will be administered: Attribution Questionnaire, General Help-Seeking Questionnaire, Social Distance Scale, Mental Health Literacy, Psychoeducation Questionnaire, Social Desirability Scale, Single-Item Self-esteem Scale, and Obsessive-Compulsive Inventory-Revised. DiscussionThis protocol presents the first study to describe a randomized control trial of a mental health app focused on changing mental health literacy, stigmatizing attitudes, social distance and help-seeking intention associated with OCD. An app intervention of these characteristics is especially relevant nowadays as the COVID-19 pandemic has increased obsessive-compulsive symptoms and severity. An improvement in general knowledge about OCD and a reduction in stigma could be associated with earlier OCD detection and an increase in help-seeking intention, which could result in greater wellbeing. Moreover, normalizing intrusions and knowledge about the cognitive OCD model could serve as a protective variable in vulnerable individuals. Trial registrationClinicalTrials.gov identifier: NCT04777292. Registered February 23, 2021, https://clinicaltrials.gov/ct2/show/NCT04777292.

Smartphone Ownership, Smartphone Utilization, and Interest in Using Mental Health Apps to Address Substance Use Disorders: Literature Review and Cross-sectional Survey Study Across Two Sites.

BackgroundIn recent years, there has been increasing interest in implementing digital technologies to diagnose, monitor, and intervene in substance use disorders. Smartphones are now a vehicle for facilitating telepsychiatry visits, measuring health metrics, and communicating with health care professionals. In light of the COVID-19 pandemic and the movement toward web-based and hybrid clinic visits and meetings, it has become especially salient to assess phone ownership among individuals with substance use disorders and their comfort in navigating phone functionality and using phones for mental health purposes.ObjectiveThe aims of this study were to summarize the current literature around smartphone ownership, smartphone utilization, and the acceptability of using smartphones for mental health purposes and assess these variables across two disparate substance use treatment sites.MethodsWe performed a focused literature review via a search of two academic databases (PubMed and Google Scholar) for publications since 2007 on the topics of smartphone ownership, smartphone utilization, and the acceptability of using mobile apps for mental health purposes among the substance use population. Additionally, we conducted a cross-sectional survey study that included 51 participants across two sites in New England—an inpatient detoxification unit that predominantly treats patients with alcohol use disorder and an outpatient methadone maintenance treatment clinic.ResultsPrior studies indicated that mobile phone ownership among the substance use population between 2013 and 2019 ranged from 83% to 94%, while smartphone ownership ranged from 57% to 94%. The results from our study across the two sites indicated 96% (49/51) mobile phone ownership and 92% (47/51) smartphone ownership among the substance use population. Although most (43/49, 88%) patients across both sites reported currently using apps on their phone, a minority (19/48, 40%) reported previously using any apps for mental health purposes. More than half of the participants reported feeling at least neutrally comfortable with a mental health app gathering information regarding appointment reminders (32/48, 67%), medication reminders (33/48, 69%), and symptom surveys (26/45, 58%). Most patients were concerned about privacy (34/51, 67%) and felt uncomfortable with an app gathering location (29/47, 62%) and social (27/47, 57%) information for health care purposes.ConclusionsThe majority of respondents reported owning a mobile phone (49/51, 96%) and smartphone (47/51, 92%), consistent with prior studies. Many respondents felt comfortable with mental health apps gathering most forms of personal information and with communicating with their clinician about their mental health. The differential results from the two sites, namely greater concerns about the cost of mental health apps among the methadone maintenance treatment cohort and less experience with downloading apps among the older inpatient detoxification cohort, may indicate that clinicians should tailor technological interventions based on local demographics and practice sites and that there is likely not a one-size-fits-all digital psychiatry solution.

Assessing Digital Mental Health Apps: The Importance of Patient-Centric Measures of Utility.

Assessing Digital Mental Health Apps: The Importance of Patient-Centric Measures of Utility.