John Torous

Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions

Background Patient retrospective recollection is a mainstay of assessing symptoms in mental health and psychiatry. However, evidence suggests that these retrospective recollections may not be as accurate as data collection though the experience sampling method (ESM), which captures patient data in “real time” and “real life.” However, the difficulties in practical implementation of ESM data collection have limited its impact in psychiatry and mental health. Smartphones with the capability to run mobile applications may offer a novel method of collecting ESM data that may represent a practical and feasible tool for mental health and psychiatry. Objective This paper aims to provide data on psychiatric patients’ prevalence of smartphone ownership, patterns of use, and interest in utilizing mobile applications to monitor their mental health conditions. Methods One hundred psychiatric outpatients at a large urban teaching hospital completed a paper-and-pencil survey regarding smartphone ownership, use, and interest in utilizing mobile applications to monitor their mental health condition. Results Ninety-seven percent of patients reported owning a phone and 72% reported that their phone was a smartphone. Patients in all age groups indicated greater than 50% interest in using a mobile application on a daily basis to monitor their mental health condition. Conclusions Smartphone and mobile applications represent a practical opportunity to explore new modalities of monitoring, treatment, and research of psychiatric and mental health conditions.

Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder

Background Accurate reporting of patient symptoms is critical for diagnosis and therapeutic monitoring in psychiatry. Smartphones offer an accessible, low-cost means to collect patient symptoms in real time and aid in care. Objective To investigate adherence among psychiatric outpatients diagnosed with major depressive disorder in utilizing their personal smartphones to run a custom app to monitor Patient Health Questionnaire-9 (PHQ-9) depression symptoms, as well as to examine the correlation of these scores to traditionally administered (paper-and-pencil) PHQ-9 scores. Methods A total of 13 patients with major depressive disorder, referred by their clinicians, received standard outpatient treatment and, in addition, utilized their personal smartphones to run the study app to monitor their symptoms. Subjects downloaded and used the Mindful Moods app on their personal smartphone to complete up to three survey sessions per day, during which a randomized subset of PHQ-9 symptoms of major depressive disorder were assessed on a Likert scale. The study lasted 29 or 30 days without additional follow-up. Outcome measures included adherence, measured by the percentage of completed survey sessions, and estimates of daily PHQ-9 scores collected from the smartphone app, as well as from the traditionally administered PHQ-9. Results Overall adherence was 77.78% (903/1161) and varied with time of day. PHQ-9 estimates collected from the app strongly correlated (r=.84) with traditionally administered PHQ-9 scores, but app-collected scores were 3.02 (SD 2.25) points higher on average. More subjects reported suicidal ideation using the app than they did on the traditionally administered PHQ-9. Conclusions Patients with major depressive disorder are able to utilize an app on their personal smartphones to self-assess their symptoms of major depressive disorder with high levels of adherence. These app-collected results correlate with the traditionally administered PHQ-9. Scores recorded from the app may potentially be more sensitive and better able to capture suicidality than the traditional PHQ-9.

Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics

Background Despite growing interest in mobile mental health and utilization of smartphone technology to monitor psychiatric symptoms, there remains a lack of knowledge both regarding patient ownership of smartphones and their interest in using such to monitor their mental health. Objective To provide data on psychiatric outpatients’ prevalence of smartphone ownership and interest in using their smartphones to run applications to monitor their mental health. Methods We surveyed 320 psychiatric outpatients from four clinics around the United States in order to capture a geographically and socioeconomically diverse patient population. These comprised a state clinic in Massachusetts (n=108), a county clinic in California (n=56), a hybrid public and private clinic in Louisiana (n=50), and a private/university clinic in Wisconsin (n=106). Results Smartphone ownership and interest in utilizing such to monitor mental health varied by both clinic type and age with overall ownership of 62.5% (200/320), which is slightly higher than the average United States’ rate of ownership of 58% in January 2014. Overall patient interest in utilizing smartphones to monitor symptoms was 70.6% (226/320). Conclusions These results suggest that psychiatric outpatients are interested in using their smartphones to monitor their mental health and own the smartphones capable of running mental healthcare related mobile applications.

Smartphone Apps for Schizophrenia: A Systematic Review

Background There is increasing interest in using mobile technologies such as smartphones for improving the care of patients with schizophrenia. However, less is known about the current clinical evidence for the feasibility and effectiveness of smartphone apps in this population. Objective To review the published literature of smartphone apps applied for the care of patients with schizophrenia and other psychotic disorders. Methods An electronic database search of Ovid MEDLINE, the Cochrane Central Register of Controlled Trials, Health Technology Assessment Database, Allied and Complementary Medicine, Health and Psychosocial Instruments, PsycINFO, and Embase was conducted on May 24, 2015. All eligible studies were systematically reviewed, and proportional meta-analyses were applied to pooled data on recruitment, retention, and adherence to examine the overall feasibility of smartphone interventions for schizophrenia. Results Our search produced 226 results from which 7 eligible articles were identified, reporting on 5 studies of smartphone apps for patients with schizophrenia. All examined feasibility, and one assessed the preliminary efficacy of a smartphone intervention for schizophrenia. Study lengths varied between 6 and 130 days. Overall retention was 92% (95% CI 82-98%). Participants consistently used the smartphone apps on more than 85% of days during the study period, averaging 3.95 interactions per person per day. Furthermore, participants responded to 71.9% of automated prompts (95% CI 65.7-77.8%). Participants reported a range of potential benefits from the various interventions, and user experience was largely positive. Conclusions Although small, the current published literature demonstrates strong evidence for the feasibility of using smartphones to enhance the care of people with schizophrenia. High rates of engagement and satisfaction with a broad range of apps suggest the nascent potential of this mobile technology. However, there remains limited data on the efficacy of such interventions.

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

Background A longstanding barrier to progress in psychiatry, both in clinical settings and research trials, has been the persistent difficulty of accurately and reliably quantifying disease phenotypes. Mobile phone technology combined with data science has the potential to offer medicine a wealth of additional information on disease phenotypes, but the large majority of existing smartphone apps are not intended for use as biomedical research platforms and, as such, do not generate research-quality data. Objective Our aim is not the creation of yet another app per se but rather the establishment of a platform to collect research-quality smartphone raw sensor and usage pattern data. Our ultimate goal is to develop statistical, mathematical, and computational methodology to enable us and others to extract biomedical and clinical insights from smartphone data. Methods We report on the development and early testing of Beiwe, a research platform featuring a study portal, smartphone app, database, and data modeling and analysis tools designed and developed specifically for transparent, customizable, and reproducible biomedical research use, in particular for the study of psychiatric and neurological disorders. We also outline a proposed study using the platform for patients with schizophrenia. Results We demonstrate the passive data capabilities of the Beiwe platform and early results of its analytical capabilities. Conclusions Smartphone sensors and phone usage patterns, when coupled with appropriate statistical learning tools, are able to capture various social and behavioral manifestations of illnesses, in naturalistic settings, as lived and experienced by patients. The ubiquity of smartphones makes this type of moment-by-moment quantification of disease phenotypes highly scalable and, when integrated within a transparent research platform, presents tremendous opportunities for research, discovery, and patient health.

Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry

Smartphones are now ubiquitous and can be harnessed to offer psychiatry a wealth of real-time data regarding patient behavior, self-reported symptoms, and even physiology. The data collected from smartphones meet the three criteria of big data: velocity, volume, and variety. Although these data have tremendous potential, transforming them into clinically valid and useful information requires using new tools and methods as a part of assessment in psychiatry. In this paper, we introduce and explore numerous analytical methods and tools from the computational and statistical sciences that appear readily applicable to psychiatric data collected using smartphones. By matching smartphone data with appropriate statistical methods, psychiatry can better realize the potential of mobile mental health and empower both patients and providers with novel clinical tools.

The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials

The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi‐sector investment along with wide‐scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta‐analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g=0.38, 95% CI: 0.24‐0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g=0.56, 95% CI: 0.38‐0.74), but only a small effect in comparison to active control conditions (g=0.22, 95% CI: 0.10‐0.33). Effects from smartphone‐only interventions were greater than from interventions which incorporated other human/computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p=0.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self‐management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.

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

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

The WPA-Lancet Psychiatry Commission on the Future of Psychiatry

Background This Commission addresses several priority areas for psychiatry over the next decade, and into the 21st century. These represent challenges and opportunities for the profession to sustain and develop itself to secure the best possible future for the millions of people worldwide who will face life with mental illness. Part 1: The patient and treatment Who will psychiatrists help? The patient population of the future will reflect general demographic shifts towards older, more urban, and migrant populations. While technical advances such as the development of biomarkers will potentially alter diagnosis and treatment, and digital technology will facilitate assessment of remote populations, the human elements of practice such as cultural sensitivity and the ability to form a strong therapeutic alliance with the patient will remain central. Part 2: Psychiatry and health-care systems Delivering mental health services to those who need them will require reform of the traditional structure of services. Few existing models have evidence of clinical effectiveness and acceptability to service users. Services of the future should consider stepped care, increased use of multidisciplinary teamwork, more of a public health approach, and the integration of mental and physical health care. These services will need to fit into the cultural and economic framework of a diverse range of settings in high-income, low-income, and middle-income countries. Part 3: Psychiatry and society Increased emphasis on social interventions and engagement with societal expectations might be an important area for psychiatrys development. This could encompass advocacy for the rights of individuals living with mental illnesses, political involvement concerning the social risk factors for mental illness, and, on a smaller scale, work with families and local social networks and communities. Psychiatrists should therefore possess communication skills and knowledge of the social sciences as well as the basic biological sciences. Part 4: The future of mental health law Mental health law worldwide tends to be based on concerns about risk rather than the protection of the rights of individuals experiencing mental illness. The United Nations Convention on the Rights of Persons with Disabilities, which states that compulsion based in whole or in part on mental disability is discriminatory, is a landmark document that should inform the future formulation and reform of mental health laws. An evidence-based approach needs to be taken: mental health legislation should mandate mental health training for all health professionals; ensure access to good-quality care; and cover wider societal issues, particularly access to housing, resources, and employment. All governments should include a mental health impact assessment when drafting relevant legislation. Part 5: Digital psychiatry—enhancing the future of mental health Digital technology might offer psychiatry the potential for radical change in terms of service delivery and the development of new treatments. However, it also carries the risk of commercialised, unproven treatments entering the medical marketplace with detrimental effect. Novel research methods, transparency standards, clinical evidence, and care delivery models must be created in collaboration with a wide range of stakeholders. Psychiatrists need to remain up to date and educated in the evolving digital world. Part 6: Training the psychiatrist of the future Rapid scientific advance and evolving models of health-care delivery have broad implications for future psychiatry training. The psychiatrist of the future must not only be armed with the latest medical knowledge and clinical skills but also be prepared to adapt to a changing landscape. Training programmes in an age in which knowledge of facts is less important than how new knowledge is accessed and deployed must refocus from the simple delivery of information towards acquisition of skills in lifelong learning and quality improvement. Conclusion Psychiatry faces major challenges. The therapeutic relationship remains paramount, and psychiatrists will need to acquire the necessary communication skills and cultural awareness to work optimally as patient demographics change. Psychiatrists must work with key stakeholders, including policy makers and patients, to help to plan and deliver the best services possible. The contract between psychiatry and society needs to be reviewed and renegotiated on a regular basis. Mental health law should be reformed on the basis of evidence and the rights of the individual. Psychiatry should embrace the possibilities offered by digital technology, and take an active role in ensuring research and care delivery in this area is ethically sound and evidence based. Psychiatry training must reflect these multiple pressures and demands by focusing on lifelong learning rather than simply knowledge delivery.

Mobile Tele-Mental Health: Increasing Applications and a Move to Hybrid Models of Care

Mobile telemental health is defined as the use of mobile phones and other wireless devices as applied to psychiatric and mental health practice. Applications of such include treatment monitoring and adherence, health promotion, ecological momentary assessment, and decision support systems. Advantages of mobile telemental health are underscored by its interactivity, just-in-time interventions, and low resource requirements and portability. Challenges in realizing this potential of mobile telemental health include the low penetration rates of health applications on mobile devices in part due to health literacy, the delay in current published research in evaluating newer technologies, and outdated research methodologies. Despite such challenges, one immediate opportunity for mobile telemental health is utilizing mobile devices as videoconferencing mediums for psychotherapy and psychosocial interventions enhanced by novel sensor based monitoring and behavior-prediction algorithms. This paper provides an overview of mobile telemental health and its current trends, as well as future opportunities as applied to patient care in both academic research and commercial ventures.