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Journal ArticleDOI

Needed Innovation in Digital Health and Smartphone Applications for Mental Health: Transparency and Trust

01 May 2017-JAMA Psychiatry (JAMA Psychiatry)-Vol. 74, Iss: 5, pp 437-438
TL;DR: As mental health applications continue to mature, finding consensus and synergy between all stakeholder groups will be critical in creating transparency and trust, and it is time for clinical science to assume greater leadership, bringing greater trust and transparency.
Abstract: The promise of smartphone applications and connected technologies for mental health to advance diagnosis, augment treatment, and expand access has received much attention. Mental health disorders represent the leading cause of the loss of years of life because of disability and premature mortality and also contribute to employee absenteeism and lost productivity in economically established countries such as the United States. The potential of smartphone applications to offer new, at-your-fingertips tools and resources for mental health care is frequently cited. But this potential is not the only reason why it is hard to ignore smartphone applications. The reality of applications for clinical care is already here. More than 10 000 mental health–related applications are available to download, and that number increases daily. As smartphones become increasingly inexpensive and available to the entire population, including those with mental illness, the accessibility, immediacy, affordability, and bold marketing claims of applications will drive more patients to use them. This new reality is worrisome: studies suggest that most mental health apps in commercial marketplaces do not conform to clinical guidelines. Some may even offer dangerous recommendations, such as one application that advises people experiencing a bipolar manic episode to drink hard alcohol before bedtime to assist with sleeping.2 It is likely that most of these nonevidencebased applications may distract patients and potentially cause them to delay seeking care. Many applications do not respect the privacy of personal health information, and the price of a free application is often buried in a complex privacy policy requiring college reading comprehension—that price being the right to market and sell your data.3 Certainly there are exceptions, as a handful of safe, evidence-based, and useful applications exist. Still, these helpful applications may be to difficult to find among hundreds of more problematic applications. Finding these valuable applications, furthermore, is a challenge for both patients and clinicians. Mental health technologies like smartphone applications have not been thoroughly investigated through clinical science or overseen through regulatory control. Instead, there is a void in which the potential and preshpent reality of health applications are confusing, marred by a lack of transparency and trust. The situation exists partially because the US Food and Drug Administration (FDA) has taken a “hands-off” approach toward health applications, meaning that most mental health applications do not fall under federal regulations. The 21st Century Cures Act, Section 3060, “Clarifying Medical Software Regulations,” indicates that this hands-off approach will continue and become more lax. Astonishingly, the Apple iTunes and Android Google Play Store are the default arbiters and agents responsible for releasing (and on some occasions, withdrawing) applications, despite evidence that neither their wellknown star ratings nor number of downloads correlate well with health application quality.4 In early September 2016, Apple announced that it would no longer allow certain health applications in its marketplace. This announcement was seen as exerting more influence in protecting public interests related to health applications than the FDA.5 One of Apple’s guidelines states, for instance, that drug dosage calculators proffered on its health applications “must come from the drug manufacturer, a hospital, university, health insurance company, or other approved entity, or receive approval by the FDA or one of its international counterparts.”5 Such a move is a first step on a long journey, but it begs the question of how health application offerings will be evaluated transparently if manufacturers, hospitals, universities, health insurance companies, and the FDA do not gather evidence and define appropriate standards. Another recent first step is the greater engagement of professional societies. For example, the American Psychiatric Association recently released a smartphone application evaluation model that does not specifically recommend or endorse any one application, but rather guides clinicians in considering the safety, evidence, usability, and interoperability of an application to make a more informed decision about use.6 As mental health applications continue to mature, finding consensus and synergy between all stakeholder groups will be critical in creating transparency and trust. While the potential of mental health applications and connected technologies has powered the paradigm of mobile health for the field, it is time for clinical science to assume greater leadership, bringing greater trust and transparency. Application technology is not the limiting factor in adopting these digital tools—trust and transparency are. All of health care, and especially mental health care, revolves around expectations of confidentiality practices and respect for privacy when patients disclose their often most intimate experiences and vulnerabilities. To have therapeutic value, we suggest that VIEWPOINT
Citations
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Journal ArticleDOI
TL;DR: Current challenges surrounding user engagement with mental health smartphone apps are reviewed, and several solutions are proposed and successful examples of mental health apps with high engagement are highlighted.
Abstract: The potential of smartphone apps to improve quality and increase access to mental health care is increasingly clear. Yet even in the current global mental health crisis, real-world uptake of smartphone apps by clinics or consumers remains low. To understand this dichotomy, this paper reviews current challenges surrounding user engagement with mental health smartphone apps. While smartphone engagement metrics and reporting remains heterogeneous in the literature, focusing on themes offers a framework to identify underlying trends. These themes suggest that apps are not designed with service users in mind, do not solve problems users care most about, do not respect privacy, are not seen as trustworthy and are unhelpful in emergencies. Respecting these current issues surrounding mental health app engagement, we propose several solutions and highlight successful examples of mental health apps with high engagement. Further research is necessary to better characterise engagement with mental health apps and identify best practices for design, testing and implementation.

388 citations

Journal ArticleDOI
TL;DR: It is suggested that uptake and engagement vary widely among the handful of implemented digital self-help apps and programs that have reported this, and that usage may vary from that reported in trials.
Abstract: Background: Digital self-help interventions (including online or computerized programs and apps) for common mental health issues have been shown to be appealing, engaging, and efficacious in randomized controlled trials. They show potential for improving access to therapy and improving population mental health. However, their use in the real world, ie, as implemented (disseminated) outside of research settings, may differ from that reported in trials, and implementation data are seldom reported. Objective: This study aimed to review peer-reviewed articles reporting user uptake and/or ongoing use, retention, or completion data (hereafter usage data or, for brevity, engagement) from implemented pure self-help (unguided) digital interventions for depression, anxiety, or the enhancement of mood. Methods: We conducted a systematic search of the Scopus, Embase, MEDLINE, and PsychINFO databases for studies reporting user uptake and/or usage data from implemented digital self-help interventions for the treatment or prevention of depression or anxiety, or the enhancement of mood, from 2002 to 2017. Additionally, we screened the reference lists of included articles, citations of these articles, and the titles of articles published in Internet Interventions, Journal of Medical Internet Research (JMIR), and JMIR Mental Health since their inception. We extracted data indicating the number of registrations or downloads and usage of interventions. Results: After the removal of duplicates, 970 papers were identified, of which 10 met the inclusion criteria. Hand searching identified 1 additional article. The included articles reported on 7 publicly available interventions. There was little consistency in the measures reported. The number of registrants or downloads ranged widely, from 8 to over 40,000 per month. From 21% to 88% of users engaged in at least minimal use (eg, used the intervention at least once or completed one module or assessment), whereas 7-42% engaged in moderate use (completing between 40% and 60% of modular fixed-length programs or continuing to use apps after 4 weeks). Indications of completion or sustained use (completion of all modules or the last assessment or continuing to use apps after six weeks or more) varied from 0.5% to 28.6%. Conclusions: Available data suggest that uptake and engagement vary widely among the handful of implemented digital self-help apps and programs that have reported this, and that usage may vary from that reported in trials. Implementation data should be routinely gathered and reported to facilitate improved uptake and engagement, arguably among the major challenges in digital health. [J Med Internet Res 2018;20(6):e199]

292 citations

Journal ArticleDOI
02 Dec 2019
TL;DR: Although some trials showed potential of apps targeting mental health symptoms, using smartphone apps as standalone psychological interventions cannot be recommended based on the current level of evidence.
Abstract: While smartphone usage is ubiquitous, and the app market for smartphone apps targeted at mental health is growing rapidly, the evidence of standalone apps for treating mental health symptoms is still unclear. This meta-analysis investigated the efficacy of standalone smartphone apps for mental health. A comprehensive literature search was conducted in February 2018 on randomized controlled trials investigating the effects of standalone apps for mental health in adults with heightened symptom severity, compared to a control group. A random-effects model was employed. When insufficient comparisons were available, data was presented in a narrative synthesis. Outcomes included assessments of mental health disorder symptom severity specifically targeted at by the app. In total, 5945 records were identified and 165 full-text articles were screened for inclusion by two independent researchers. Nineteen trials with 3681 participants were included in the analysis: depression (k = 6), anxiety (k = 4), substance use (k = 5), self-injurious thoughts and behaviors (k = 4), PTSD (k = 2), and sleep problems (k = 2). Effects on depression (Hedges’ g = 0.33, 95%CI 0.10–0.57, P = 0.005, NNT = 5.43, I2 = 59%) and on smoking behavior (g = 0.39, 95%CI 0.21–0.57, NNT = 4.59, P ≤ 0.001, I2 = 0%) were significant. No significant pooled effects were found for anxiety, suicidal ideation, self-injury, or alcohol use (g = −0.14 to 0.18). Effect sizes for single trials ranged from g = −0.05 to 0.14 for PTSD and g = 0.72 to 0.84 for insomnia. Although some trials showed potential of apps targeting mental health symptoms, using smartphone apps as standalone psychological interventions cannot be recommended based on the current level of evidence.

248 citations

Journal ArticleDOI
TL;DR: The high heterogeneity and use of custom criteria to assess mental health apps in terms of usability, user satisfaction, acceptability, or feasibility present a challenge for understanding real-world low uptake of these apps.
Abstract: Objective:Despite the potential benefits of mobile mental health apps, real-world results indicate engagement issues because of low uptake and sustained use. This review examined how studies have m...

143 citations

Journal ArticleDOI
TL;DR: Clinicians will soon see useful and impactful digital tools for this space within the next 2 to 5 years, given both the rapid pace and vast scale of current research efforts.
Abstract: As rates of suicide continue to rise, there is urgent need for innovative approaches to better understand, predict, and care for those at high risk of suicide. Numerous mobile and sensor technology solutions have already been proposed, are in development, or are already available today. This review seeks to assess their clinical evidence and help the reader understand the current state of the field. Advances in smartphone sensing, machine learning methods, and mobile apps directed towards reducing suicide offer promising evidence; however, most of these innovative approaches are still nascent. Further replication and validation of preliminary results is needed. Whereas numerous promising mobile and sensor technology based solutions for real time understanding, predicting, and caring for those at highest risk of suicide are being studied today, their clinical utility remains largely unproven. However, given both the rapid pace and vast scale of current research efforts, we expect clinicians will soon see useful and impactful digital tools for this space within the next 2 to 5 years.

128 citations

References
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Journal ArticleDOI
TL;DR: The content of currently available apps for BD is not in line with practice guidelines or established self-management principles, with most lacking source citation and a privacy policy, and consumers and clinicians should exercise caution with app selection.
Abstract: Background: With continued increases in smartphone ownership, researchers and clinicians are investigating the use of this technology to enhance the management of chronic illnesses such as bipolar disorder (BD). Smartphones can be used to deliver interventions and psychoeducation, supplement treatment, and enhance therapeutic reach in BD, as apps are cost-effective, accessible, anonymous, and convenient. While the evidence-based development of BD apps is in its infancy, there has been an explosion of publicly available apps. However, the opportunity for mHealth to assist in the self-management of BD is only feasible if apps are of appropriate quality. Objective: Our aim was to identify the types of apps currently available for BD in the Google Play and iOS stores and to assess their features and the quality of their content. Methods: A systematic review framework was applied to the search, screening, and assessment of apps. We searched the Australian Google Play and iOS stores for English-language apps developed for people with BD. The comprehensiveness and quality of information was assessed against core psychoeducation principles and current BD treatment guidelines. Management tools were evaluated with reference to the best-practice resources for the specific area. General app features, and privacy and security were also assessed. Results: Of the 571 apps identified, 82 were included in the review. Of these, 32 apps provided information and the remaining 50 were management tools including screening and assessment (n=10), symptom monitoring (n=35), community support (n=4), and treatment (n=1). Not even a quarter of apps (18/82, 22%) addressed privacy and security by providing a privacy policy. Overall, apps providing information covered a third (4/11, 36%) of the core psychoeducation principles and even fewer (2/13, 15%) best-practice guidelines. Only a third (10/32, 31%) cited their information source. Neither comprehensiveness of psychoeducation information ( r =-.11, P =.80) nor adherence to best-practice guidelines ( r =-.02, P =.96) were significantly correlated with average user ratings. Symptom monitoring apps generally failed to monitor critical information such as medication (20/35, 57%) and sleep (18/35, 51%), and the majority of self-assessment apps did not use validated screening measures (6/10, 60%). Conclusions: In general, the content of currently available apps for BD is not in line with practice guidelines or established self-management principles. Apps also fail to provide important information to help users assess their quality, with most lacking source citation and a privacy policy. Therefore, both consumers and clinicians should exercise caution with app selection. While mHealth offers great opportunities for the development of quality evidence-based mobile interventions, new frameworks for mobile mental health research are needed to ensure the timely availability of evidence-based apps to the public. [J Med Internet Res 2015;17(8):e198]

338 citations

Journal ArticleDOI
TL;DR: It is found that there is a wide variety of apps in the marketplace but that few apps address the needs of the patients who could benefit the most, and that most apps did not respond appropriately when a user entered potentially dangerous health information.
Abstract: With rising smartphone ownership, mobile health applications (mHealth apps) have the potential to support high-need, high-cost populations in managing their health. While the number of available mH...

156 citations

Journal ArticleDOI
08 Mar 2016-JAMA
TL;DR: Privacy Policies of Android Diabetes Apps and Sharing of Health Information Mobile health apps can help individuals manage chronic health conditions and transmit sensitive medical data, including disease status and medication compliance.
Abstract: Privacy Policies of Android Diabetes Apps and Sharing of Health Information Mobile health apps can help individuals manage chronic health conditions.1 One-fifth of smartphone owners had health apps in 2012,2 and 7% of primary care physicians recommended a health app.3 The US Food and Drug Administration has approved the prescription of some apps.4 Health apps can transmit sensitive medical data, including disease status and medication compliance. Privacy risks and the relationship between privacy disclosures and practices of health apps are understudied.

81 citations