Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study.

Smartphone technology provides us with a more convenient and less intrusive method of detecting changes in behavior and symptoms that typically precede schizophrenia relapse. To take advantage of the aforementioned, this study examines the feasibility of predicting schizophrenia relapse by identifying statistically significant anomalies in patient data gathered through mindLAMP, an open-source smartphone app. Participants, recruited in Boston, MA in the United States, and Bangalore and Bhopal in India, were invited to use mindLAMP for up to a year. The passive data (geolocation, accelerometer, and screen state), active data (surveys), and data quality metrics collected by the app were then retroactively fed into a relapse prediction model that utilizes anomaly detection. Overall, anomalies were 2.12 times more frequent in the month preceding a relapse and 2.78 times more frequent in the month preceding and following a relapse compared to intervals without relapses. The anomaly detection model incorporating passive data proved a better predictor of relapse than a naive model utilizing only survey data. These results demonstrate that relapse prediction models utilizing patient data gathered by a smartphone app can warn the clinician and patient of a potential schizophrenia relapse.

The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality.

As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological advances to mental health research and care, by detailing how smartphones, social media, artificial intelligence and virtual reality present new opportunities for "digital phenotyping" and remote intervention. Second, we review the current evidence for the use of these new technological approaches across different mental health contexts, covering their emerging efficacy in self-management of psychological well-being and early intervention, along with more nascent research supporting their use in clinical management of long-term psychiatric conditions - including major depression; anxiety, bipolar and psychotic disorders; and eating and substance use disorders - as well as in child and adolescent mental health care. Third, we discuss the most pressing challenges and opportunities towards real-world implementation, using the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to explain how the innovations themselves, the recipients of these innovations, and the context surrounding innovations all must be considered to facilitate their adoption and use in mental health care systems. We conclude that the new technological capabilities of smartphones, artificial intelligence, social media and virtual reality are already changing mental health care in unforeseen and exciting ways, each accompanied by an early but promising evidence base. We point out that further efforts towards strengthening implementation are needed, and detail the key issues at the patient, provider and policy levels which must now be addressed for digital health technologies to truly improve mental health research and treatment in the future.

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.

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.

Developing a Collaborative Approach to Post-Acute Sequelae of SARS-CoV-2 Infection

The article reports on the magnitude of the public health effect of the COVID-19 pandemic and the need to develop a collaborative strategy to address post-acute sequelae of SARS-CoV-2 infection (PASC). Topics include the persistent neurological and/or psychiatric effects of the disease called long-haul COVID-19 or PASC, the multifactorial consequences of PASC, and the post-intensive care syndrome (PICS).

Anomaly detection to predict relapse risk in schizophrenia.

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.

Making mental health more accessible in light of COVID-19: Scalable digital health with digital navigators in low and middle-income countries.

The rapid spread of COVID-19 and the devastating consequences to economies and healthcare systems around the world has highlighted the exigent need for accessible mental health support. Increasing use of mobile devices in Lower Middle-Income Countries (LMIC) such as India offers novel opportunity to expand treatment options and reach underserved populations. Prior efforts have utilized technology to redistribute or supplement clinical care but measurable outcomes of this research are limited. In this paper, we explain the structural barriers that prevent access to care and build on prior research to demonstrate how technology can be utilized to offer treatment if it is aided by education and technical support.

Building resilience in the COVID-19 era: Three paths in the Bhagavad Gita.

The COVID-19 pandemic has emerged as a major stressor of a global scale, affecting all aspects of our lives, and is likely to contribute to a surge of mental ill health. Ancient Hindu scriptures, notably the Bhagavad Gita, have a wealth of insights that can help approaches to build psychological resilience for individuals at risk, those affected, as well as for caregivers. The path of knowledge (Jnana yoga) promotes accurate awareness of nature of the self, and can help reframe our thinking from an "I" to a "we mode," much needed for collectively mitigating the spread of the coronavirus. The path of action (Karma yoga) teaches the art of selfless action, providing caregivers and frontline health-care providers a framework to continue efforts in the face of uncertain consequences. Finally, the path of meditation (Raja yoga) offers a multipronged approach to healthy lifestyle and mindful meditation, which may improve resilience to the illness and its severe consequences. While more work is needed to empirically examine the potential value of each of these approaches in modern psychotherapy, the principles herein may already help individuals facing and providing care for the COVID-19 pandemic.

Pandemics and psychiatry: Repositioning research in context of COVID-19.

The current Covid-19 pandemic is posing an unprecedented threat to global well-being and its mental health consequences are just becoming understood. While the crisis has led to a temporary halt in a lot of ongoing or planned psychiatric research, this pandemic is a natural experiment that can help the field to repurpose research to better understand the causes, presentations and outcome trajectories as well as treatments in psychiatry. Inter-disciplinary collaborations between researchers are needed to rapidly develop and share the emerging new knowledge of the mental health implications of Covid-19, This will help mount an effective response to the current as well as future pandemics.