Showing papers by "John Torous published in 2021"

Banbury Forum Consensus Statement on the Path Forward for Digital Mental Health Treatment

Abstract: A major obstacle to mental health treatment for many Americans is accessibility: the United States faces a shortage of mental health providers, resulting in federally designated shortage areas. Although digital mental health treatments (DMHTs) are effective interventions for common mental disorders, they have not been widely adopted by the U.S. health care system. National and international expert stakeholders representing health care organizations, insurance companies and payers, employers, patients, researchers, policy makers, health economists, and DMHT companies and the investment community attended two Banbury Forum meetings. The Banbury Forum reviewed the evidence for DMHTs, identified the challenges to successful and sustainable implementation, investigated the factors that contributed to more successful implementation internationally, and developed the following recommendations: guided DMHTs should be offered to all patients experiencing common mental disorders, DMHT products and services should be reimbursable to support integration into the U.S. health care landscape, and an evidence standards framework should be developed to support decision makers in evaluating DMHTs.

Evaluating evaluation frameworks: a scoping review of frameworks for assessing health apps.

Abstract: Objectives Despite an estimated 300 000 mobile health apps on the market, there remains no consensus around helping patients and clinicians select safe and effective apps. In 2018, our team drew on existing evaluation frameworks to identify salient categories and create a new framework endorsed by the American Psychiatric Association (APA). We have since created a more expanded and operational framework Mhealth Index and Navigation Database (MIND) that aligns with the APA categories but includes objective and auditable questions (105). We sought to survey the existing space, conducting a review of all mobile health app evaluation frameworks published since 2018, and demonstrate the comprehensiveness of this new model by comparing it to existing and emerging frameworks. Design We conducted a scoping review of mobile health app evaluation frameworks. Data sources References were identified through searches of PubMed, EMBASE and PsychINFO with publication date between January 2018 and October 2020. Eligibility criteria Papers were selected for inclusion if they meet the predetermined eligibility criteria—presenting an evaluation framework for mobile health apps with patient, clinician or end user-facing questions. Data extraction and synthesis Two reviewers screened the literature separately and applied the inclusion criteria. The data extracted from the papers included: author and dates of publication, source affiliation, country of origin, name of framework, study design, description of framework, intended audience/user and framework scoring system. We then compiled a collection of more than 1701 questions across 79 frameworks. We compared and grouped these questions using the MIND framework as a reference. We sought to identify the most common domains of evaluation while assessing the comprehensiveness and flexibility—as well as any potential gaps—of MIND. Results New app evaluation frameworks continue to emerge and expand. Since our 2019 review of the app evaluation framework space, more frameworks include questions around privacy (43) and clinical foundation (57), reflecting an increased focus on issues of app security and evidence base. The majority of mapped frameworks overlapped with at least half of the MIND categories. The results of this search have informed a database (apps.digitalpsych.org) that users can access today. Conclusion As the number of app evaluation frameworks continues to rise, it is becoming difficult for users to select both an appropriate evaluation tool and to find an appropriate health app. This review provides a comparison of what different app evaluation frameworks are offering, where the field is converging and new priorities for improving clinical guidance.

A Literature Review Comparing Clinicians' Approaches and Skills to In-Person, Synchronous, and Asynchronous Care: Moving Toward Competencies to Ensure Quality Care

Abstract: Introduction: Research is increasing on asynchronous technologies used by specialist clinicians and primary care, including e-mail, text, e-consultation, and store-and-forward (asynchronous) options. Studies typically describe interventions and care outcomes rather than development of clinical skills for using technology. Methods: This article attempts to compare clinicians' approaches to, and skills for, asynchronous technologies versus in-person and synchronous (i.e., video) care. Literature from technology, health care, pedagogy, and business were searched from 2000 to 2019 for title words, including synchronous (e.g., video, telemental or behavioral health, telepsychiatry), asynchronous (e.g., app, e-consultation, e-mail, text, sensor in a wearable device), education, clinical, and consultation. Results: From a total of 4,812 potential references, two authors (D.M.H., J.T.) found 4,622 eligible for full text review and found 381 articles directly relevant to the concept areas in combination for full text review. However, exclusion criteria subtracted 305, leaving a total of 76 articles. While in-person and synchronous care are similar in many ways, the clinical approach to asynchronous care has many differences. As asynchronous technologies and models of care are feasible and effective, often for consultation, an outline of patient, primary care provider, and specialist clinician goals and skills are presented. Few studies specifically discuss skills or competencies for asynchronous care, but components from published clinical informatics, video, social media, and mobile health competencies were organized into Accreditation Council of Graduate Medical Education domains. Conclusions: Further implementation of science research is needed for asynchronous technology interventions, as well as clinician competencies using asynchronous technologies, to ensure optimal outcomes for patients in health care.

Our Digital Moment: Innovations and Opportunities in Digital Mental Health Care.

Abstract: “If we can use apps to order dinner and video chats to stay in touch with family—we can use new technology to keep each other healthy.” So commented Prime Minister Justin Trudeau in May when he announced $240.5 million “to develop, expand, and launch virtual care and mental health tools to support Canadians,” in response to the COVID-19 pandemic. That week, the Ontario government committed itself to enhancing e-therapy options, particularly for those struggling with the stress of the pandemic, and the British Columbia government promised $5 million to support virtual mental health care. These commitments follow others made by governments across North America, affecting compensation and regulations and—ultimately—practice. With so much political enthusiasm and pandemic reality, is mental health care having a digital moment? COVID-19 pandemic has changed health care delivery, including mental health care services around the world. Consider:

Assessing mental health apps marketplaces with objective metrics from 29,190 data points from 278 apps.

Abstract: OBJECTIVE Utilizing a standard framework that may help clinicians and patients to identify relevant mental health apps, we sought to gain a comprehensive picture of the space by searching for, downloading, and reviewing 278 mental health apps from both the iOS and Android stores. METHODS 278 mental health apps from the Apple iOS store and Google Play store were downloaded and reviewed in a standardized manner by trained app raters using a validated framework. Apps were evaluated with this framework comprising 105 questions and covering app origin and accessibility, privacy and security, inputs and outputs, clinical foundation, features and engagement style, and interoperability. RESULTS Our results confirm that app stars and downloads-even for the most popular apps by these metrics-did not correlate with more clinically relevant metrics related to privacy/security, effectiveness, and engagement. Most mental health apps offer similar functionality, with 16.5% offering both mood tracking and journaling and 7% offering psychoeducation, deep breathing, mindfulness, journaling, and mood tracking. Only 36.4% of apps were updated with a 100-day window, and 7.5% of apps had not been updated in four years. CONCLUSION Current app marketplace metrics commonly used to evaluate apps do not offer an accurate representation of individual apps or a comprehensive overview of the entire space. The majority of apps overlap in terms of features offered, with many domains and other features not well represented. Selecting an appropriate app continues to require personal matching given no clear trends or guidance offered by quantitative metrics alone.

Consensus Statement on Ethical & Safety Practices for Conducting Digital Monitoring Studies with People at Risk of Suicide and Related Behaviors.

Abstract: Objective Digital monitoring technologies (e.g., smartphones and wearable devices) provide unprecedented opportunities to study potentially harmful behaviors such as suicide, violence, and alcohol/...

Mental Health App Evaluation: Updating the American Psychiatric Association's Framework Through a Stakeholder-Engaged Workshop.

Abstract: The app evaluation framework of the American Psychiatric Association (APA) has emerged as an adaptable tool for those seeking to navigate the ever-growing space of mental health apps. The authors d...

Digital Clinics and Mobile Technology Implementation for Mental Health Care.

Abstract: Interest in digital mental health, especially smartphone apps, has expanded in light of limited access to mental health services and the need for remote care during COVID-19. Digital clinics, in which apps are blended into routine care, offer a potential solution to common implementation challenges including low user engagement and lack of clinical integration of apps. While the number of mental health apps available in commercial marketplaces continues to rise, there are few examples of successful implementation of these apps into care settings. We review one example of a digital clinic created within an academic medical center and another within the Department of Veterans Affairs. We then discuss how implementation science can inform new efforts to effectively integrate mental health technologies across diverse use cases. Integrating mental health apps into care settings is feasible but requires careful attention to multiple domains that will influence implementation success, including characteristics of the innovation (e.g., utility and complexity of the app), the recipients of the technology (e.g., patients and clinicians), and context (e.g., healthcare system buy-in, reimbursement, and regulatory policies). Examples of effective facilitation strategies that can be utilized to improve implementation efforts include co-production of technology involving all end users, specialized trainings for staff and patients, creation of new team members to aid in app usage (e.g., digital navigators), and re-design of clinical workflows.

Anomaly detection to predict relapse risk in schizophrenia.

Abstract: The integration of technology in clinical care is growing rapidly and has become especially relevant during the global COVID-19 pandemic. Smartphone-based digital phenotyping, or the use of integrated sensors to identify patterns in behavior and symptomatology, has shown potential in detecting subtle moment-to-moment changes. These changes, often referred to as anomalies, represent significant deviations from an individual's baseline, may be useful in informing the risk of relapse in serious mental illness. Our investigation of smartphone-based anomaly detection resulted in 89% sensitivity and 75% specificity for predicting relapse in schizophrenia. These results demonstrate the potential of longitudinal collection of real-time behavior and symptomatology via smartphones and the clinical utility of individualized analysis. Future studies are necessary to explore how specificity can be improved, just-in-time adaptive interventions utilized, and clinical integration achieved.

Changes to the Psychiatric Chatbot Landscape: A Systematic Review of Conversational Agents in Serious Mental Illness: Changements du paysage psychiatrique des chatbots: une revue systématique des agents conversationnels dans la maladie mentale sérieuse.

Abstract: Objective:The need for digital tools in mental health is clear, with insufficient access to mental health services. Conversational agents, also known as chatbots or voice assistants, are digital to...

Alliance With an Unguided Smartphone App: Validation of the Digital Working Alliance Inventory:

Abstract: The working alliance may be relevant in unguided smartphone-based interventions, but no validated measure exists. We evaluated the psychometric properties of the six-item Digital Working Alliance Inventory (DWAI) using a cross-sectional survey of meditation app users (n = 290) and the intervention arm of a randomized trial testing a smartphone-based meditation app (n = 314). Exploratory factor analysis suggested a single-factor solution which was replicated using longitudinal confirmatory factor analysis. The DWAI showed adequate internal consistency and test-retest reliability. Discriminant validity was supported by a lack of association with social desirability, psychological distress, and preference for a waitlist condition. Convergent validity was supported by positive associations with perceived app effectiveness and preference for an app condition. Supporting predictive validity, DWAI scores positively predicted self-reported and objective app utilization. When assessed at Weeks 3 or 4 of the intervention, but not earlier, DWAI scores predicted pre-post reductions in psychological distress.

Patient Access to Mental Health Notes: Motivating Evidence-Informed Ethical Guidelines.

Abstract: In the last decade, many health organizations have embarked on a revolution in clinical communication. Using electronic devices, patients can now gain rapid access to their online clinical records. Legally, patients in many countries already have the right to obtain copies of their health records; however, the practice known as "open notes" is different. Via secure online health portals, patients are now able to access their test results, lists of medications, and the very words that clinicians write about them. Open notes are growing with most patients in the Nordic countries already offered access to their full electronic record. From April 2021, a new federal ruling in the United States mandates-with few exemptions-that providers offer patients access to their online notes (Office of the National Coordinator for Health Information Technology, Department of Health and Human Services, Available at: https://www.govinfo.gov/content/pkg/FR-2019-03-04/pdf/2019-02224.pdf#page=99). Against these policy changes, only limited attention has been paid to the ethical question about whether patients with mental health conditions should access their notes, as mentioned in the articles by Strudwick, Yeung, and Gratzer (Front Psychiatry 10:917, 2019) and Blease, O'Neill, Walker, Hagglund, and Torous (Lancet Psychiatry 7:924-925, 2020). In this article, our goal is to motivate further inquiry into opening mental health notes to patients, particularly among persons with serious mental illness and those accessing psychological treatments. Using biomedical ethical principles to frame our discussion, we identify key empirical questions that must be pursued to inform ethical practice guidelines.

Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists

Abstract: “Mr A,” a 24-year-old man, presents for evaluation of worsening depression He describes a history of depression since adolescence, although he notes that he suffered a troubled childhood, includi

Case studies from the digital clinic: integrating digital phenotyping and clinical practice into today's world.

Abstract: The following case series provides several examples from the Digital Clinic, an outpatient mental health program which uses smartphone technology to augment traditional mental health care The themes highlighted in this piece, expanding emotional-awareness, symptom tracking, and medication management, provide real-clinical examples of how the Digital Clinic offered remote mental health care to a diverse group of people Furthermore, the following piece demonstrates to practicing clinicians how digital technologies, like smartphone apps, can diversify methods of clinical engagement, assist with collecting health metrics in a safe and ethical manner, and promote person centred care With the COVID-19 pandemic forcing re-evaluation of how mental health services are provided, it is critical to ensure that digitally infused systems of care, like the Digital Clinic, are effective, accessible, and scalable

Use of smartphones, mobile apps and wearables for health promotion by people with anxiety or depression: An analysis of a nationally representative survey data.

Abstract: People with mental illness have increased cardiovascular risk factors, which contributes significantly to mortality in this population. Digital interventions have emerged as promising models to promote physical health, although their potential for use in mental health populations is relatively unexplored. We examined the potential for using digital tools for health promotion by people with common mental disorders like anxiety or depression. Using data from the 2019 edition of the Health Information National Trends Survey (HINTS 5), we evaluated differences between individuals with self-reported history of diagnosed depression/anxiety and the general population with respect to ownership, usage, and perceived usefulness of digital tools for managing their health. Overall, individuals with anxiety or depression were as likely as the general population to use digital devices for their care. Those with anxiety or depression who had health apps were more likely to report intentions to lose weight than those without health apps. Significant sociodemographic predictors of digital tools usage included gender, age, income, and education level. People with anxiety or depression own and use digital health tools at similarly high rates to the general population, suggesting that these tools present a novel opportunity for health promotion among people with these disorders.

A systematic review of mHealth application interventions for peripartum mood disorders: trends and evidence in academia and industry

Abstract: In this review, we aim to summarize research findings and marketplace apps for women with perinatal mood disorders with the goal of informing clinicians and patients about current risks and benefits, as well as proposing clinical implementation advice and a harmonized agenda for both academic and industry advancement in this space. Multiple searches were run of academic databases in 2018–2020, examining literature on mobile apps for peripartum mental health. Multiple searches were also run of the iOS and Android app stores in 2019 and 2020, looking at apps for peripartum mental health. Results were compared within the academic dataset as well within the commercial app dataset; the two datasets were also examined for overlap. The academic search results were notable for small sample sizes and heterogeneous endpoints. The app store search results were notable for apps of generally poor quality (as assessed by a modified Silberg scale). Very few of the mHealth interventions studied in the academic literature were available in the app store; very few of the apps from the commercial stores were supported by academic literature. The disconnect between academically developed apps and commercially available apps highlights the need for better collaboration between academia and industry. More collaboration between the two approaches may benefit both app developers and patients in this demographic moving forwards. Additionally, we present a set of practice guidelines for mHealth in perinatal psychiatry based on the trends identified in this review.

Digital phenotyping of student mental health during COVID-19: an observational study of 100 college students.

Abstract: Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each participant attended a virtual visit to complete a series of gold-standard mental health assessments, and then used a mobile app for 28 days to complete mood assessments and allow for passive collection of GPS, accelerometer, phone call, and screen time data. Students completed another virtual visit at the end of the study to collect a second round of mental health assessments. Results: In-app daily mood assessments were strongly correlated with their corresponding gold standard clinical assessment. Sleep variance among students was correlated to depression scores (ρ = .28) and stress scores (ρ = .27). Conclusions: Digital Phenotyping among college students is feasible on both an individual and a sample level. Studies with larger sample sizes are necessary to understand population trends, but there are practical applications of the data today.

Cross cultural and global uses of a digital mental health app: results of focus groups with clinicians, patients and family members in India and the United States.

Abstract: Background Despite significant advancements in healthcare technology, digital health solutions – especially those for serious mental illnesses – continue to fall short of their potential across both clinical practice and efficacy. The utility and impact of medicine, including digital medicine, hinges on relationships, trust, and engagement, particularly in the field of mental health. This paper details results from Phase 1 of a two-part study that seeks to engage people with schizophrenia, their family members, and clinicians in co-designing a digital mental health platform for use across different cultures and contexts in the United States and India. Methods Each site interviewed a mix of clinicians, patients, and their family members in focus groups (n = 20) of two to six participants. Open-ended questions and discussions inquired about their own smartphone use and, after a demonstration of the mindLAMP platform, specific feedback on the app's utility, design, and functionality. Results Our results based on thematic analysis indicate three common themes: increased use and interest in technology during coronavirus disease 2019 (COVID-19), concerns over how data are used and shared, and a desire for concurrent human interaction to support app engagement. Conclusion People with schizophrenia, their family members, and clinicians are open to integrating technology into treatment to better understand their condition and help inform treatment. However, app engagement is dependent on technology that is complementary – not substitutive – of therapeutic care from a clinician.

Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data.

Abstract: Background: Antidepressants are known to show heterogeneous effects across individuals and conditions, posing challenges to understanding their efficacy in mental health treatment. Social media platforms enable individuals to share their day-to-day concerns with others and thereby can function as unobtrusive, large-scale, and naturalistic data sources to study the longitudinal behavior of individuals taking antidepressants. Objective: We aim to understand the side effects of antidepressants from naturalistic expressions of individuals on social media. Methods: On a large-scale Twitter data set of individuals who self-reported using antidepressants, a quasi-experimental study using unsupervised language analysis was conducted to extract keywords that distinguish individuals who improved and who did not improve following the use of antidepressants. The net data set consists of over 8 million Twitter posts made by over 300,000 users in a 4-year period between January 1, 2014, and February 15, 2018. Results: Five major side effects of antidepressants were studied: sleep, weight, eating, pain, and sexual issues. Social media language revealed keywords related to these side effects. In particular, antidepressants were found to show a spectrum of effects from decrease to increase in each of these side effects. Conclusions: This work enhances the understanding of the side effects of antidepressants by identifying distinct linguistic markers in the longitudinal social media data of individuals showing the most and least improvement following the self-reported intake of antidepressants. One implication of this work concerns the potential of social media data as an effective means to support digital pharmacovigilance and digital therapeutics. These results can inform clinicians in tailoring their discussion and assessment of side effects and inform patients about what to potentially expect and what may or may not be within the realm of normal aftereffects of antidepressants.

Digital mHealth Interventions for Employees: Systematic Review and Meta-Analysis of Their Effects on Workplace Outcomes

Abstract: Objectives To justify the capital investment, employers require proof of benefit of digital mHealth beyond symptomatic improvement. Methods A systematic review and meta-analysis were conducted to identify studies investigating digital mHealth interventions for employees and their effects on workplace outcomes. Results We identified 28 eligible studies, (8023 employees) comparing digital mHealth interventions to controls. Small significant effects at postintervention in engagement (g = 0.19), and productivity (g = 0.16) were found. Sustained effects were observed, engagement (g = 0.24) and productivity (g = 0.20). There was a wide range of study heterogeneity (I2 = 16% to 94%). Conclusion In RCTs digital mHealth interventions demonstrate small, potentially sustained efficacy on employee's engagement and productivity. Similar small yet non-significant effect sizes were seen for absenteeism and presenteeism. This supports the need to find ways of enabling employers to deliver these low-cost digital mHealth interventions that can help improve employee's mental health.

Marketplace and Literature Review of Spanish Language Mental Health Apps.

Abstract: Language differences between patients and providers remains a barrier to accessing health care, especially mental health services. One potential solution to reduce inequities for patients that speak different languages and improve their access to care is through the delivery of healthcare through mobile technology. Given that the Latinx community serves as the largest ethnic minority in the United States, this two-phased review examines Spanish app development, feasibility and efficacy. Phase 1 explored the commercial marketplace for apps available in Spanish, while phase 2 involved a literature review of published research centered around the creation, functions, and usability of these apps using the PubMed and Google Scholar electronic databases. Of the apps available on the database, only 14.5% of them had Spanish operability. The literature search uncovered 629 results, of which 12 research articles that tested or described 10 apps met the inclusion criteria. Of the 10 apps studied in this literature review, only 4 apps were translated to Spanish. Our study reveals that despite increasing interest in Spanish-language apps to address mental health, the commercial marketplace is not currently meeting the demand. This study highlights that through thoughtful design and development, apps may hold the key to reducing mental health disparities in Spanish-speaking Hispanics in the United States.

Smartphone Health Assessment for Relapse Prevention (SHARP): a digital solution toward global mental health.

Abstract: Background Predicting and preventing relapse presents a crucial opportunity and first step to improve outcomes and reduce the care gap for persons living with schizophrenia. Using commercially available smartphones and smartwatches, technology now affords opportunities to capture real-time and longitudinal profiles of patients’ symptoms, cognition, physiology and social patterns. This novel data makes it possible to explore relationships between behaviours, physiology and symptoms, which may yield personalised relapse signals. Aims Smartphone Health Assessment for Relapse Prevention (SHARP), an international mental health research study supported by the Wellcome Trust, will inform the development of a scalable and sharable digital health solution to monitor personal risk of relapse. The resulting technology will be studied toward predicting and preventing relapse among individuals diagnosed with serious mental illness. Method SHARP is a two-phase study with research sites in Boston, Massachusetts, and Bangalore and Bhopal, India. During phase 1, focus groups will be conducted at each study site to collect feedback on the design and features available on mindLAMP, a digital health platform. Individuals with serious mental illness will use mindLAMP for the duration of a year during phase 2. Results The results of the research outlined in this protocol will guide the development of technology and digital tools to help address pervasive challenges in global mental health. Conclusions The digital tools developed as a result of this study, and participants’ experiences using them, may offer insight into opportunities to expand digital mental health resources and optimize their utilisation around the world.

Smartphone ownership and use of mental health applications by psychiatric inpatients.

Abstract: Little is known about the use of mental health smartphone applications during the greatest period of vulnerability - immediately following discharge from a psychiatric inpatient unit. Currently, no data are available regarding smartphone ownership or technology literacy of individuals who receive inpatient psychiatric treatment. The goal of this study was to determine psychiatric inpatients’ smartphone ownership, current uses of, and interest in utilizing apps to aid in mental health treatment after discharge. A single time point self-report survey was given to patients prior to discharge from a psychiatric inpatient unit at a major academic hospital in a metropolitan area of the United States. Of the 101 survey respondents, 82.8% indicated that they own a smartphone, and over 70% indicated that they use smartphone apps, can access the internet from their phones, and use social media. While only 25.3% reported that they currently use a mental health app, a majority of respondents (53.2%) expressed interest in using such apps in the future, and almost 60% would use those apps to track their mental health. Our data suggest that there is significant untapped potential for utilizing smartphone applications for psychiatric monitoring and treatment following discharge from an inpatient psychiatric unit.