EMPOWER: Toward the Global Dissemination of Psychosocial Interventions.

Even before the COVID-19 pandemic, the needs for care of persons with mental illness remained largely unmet worldwide, testifying to the inadequacy of current approaches to mental health care and their unsuitability for the rising demand. One hurdle to improved access to quality care is the reliance on expensive specialist providers, particularly for the delivery of psychosocial interventions. This article describes EMPOWER, a not-for-profit program that builds on the clinical science demonstrating the effectiveness of brief psychosocial interventions for a range of psychiatric conditions; implementation science demonstrating the effectiveness of delivery of these interventions by non-specialist providers (NSPs); and pedagogical science demonstrating the effectiveness of digital approaches for training and quality assurance. The EMPOWER program leverages digital tools for training and supervising NSPs, designing competency-based curricula, assessing treatment-specific competencies, implementing measurement-based peer supervision for support and quality assurance, and evaluating impacts to enhance the effectiveness of the delivery system.

Post-traumatic growth in PhD students during the COVID-19 pandemic.

Throughout the COVID-19 pandemic, graduate students have faced increased risk of mental health challenges. Research suggests that experiencing adversity may induce positive psychological changes, called post-traumatic growth (PTG). These changes can include improved relationships with others, perceptions of oneself, and enjoyment of life. Few existing studies have explored this phenomenon among graduate students. This secondary data analysis of a survey conducted in November 2020 among graduate students at a private R1 University in the northeast United States examined graduate students' levels and correlates of PTG during the COVID-19 pandemic. Students had a low level of PTG, with a mean score of 10.31 out of 50. Linear regression models showed significant positive relationships between anxiety and PTG and between a measure of self-reported impact of the pandemic and PTG. Non-White minorities also had significantly greater PTG than White participants. Experiencing more negative impact due to the pandemic and ruminating about the pandemic were correlated with greater PTG. These findings advance research on the patterns of PTG during the COVID-19 pandemic and can inform future studies of graduate students' coping mechanisms and support efforts to promote pandemic recovery and resilience.

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.

Scaling up community-delivered mental health support and care: A landscape analysis.

Introduction: The mental health crisis has caused widespread suffering and has been further exacerbated by the COVID-19 pandemic. Marginalized groups are especially affected, with many concerns rooted in social determinants of mental health. To stem this tide of suffering, consideration of approaches outside the traditional biomedical model will be necessary. Drawing from task-sharing models of mental health care that have been pioneered in low-resource settings, community-initiated care (CIC) represents a potentially promising collection of approaches. This landscape analysis seeks to identify examples of CIC that have been implemented outside of the research context, with the aim of identifying barriers and facilitators of scale up. Methods: A narrative review approach was used for this landscape analysis in which the PubMed database was searched and further supplemented with Google Scholar. Promising programs were then discussed over multiple rounds of meetings with the research team, consisting of collaborators with varied experiences in mental health. Using the selection criteria and feedback derived from group meetings, a final list of programs was identified and summarized according to common characteristics and features. Results: The initial PubMed search yielded 16 results, supplemented by review of the first 100 entries in Google Scholar. Through 5 follow-up meetings among team members, consensus was reached on a final list of 9 programs, which were grouped into three categories based on similar themes and topics: (1) approaches for the delivery of psychosocial interventions; (2) public health and integrative approaches to mental health; and (3) approaches for addressing youth mental health. Key facilitators to scale up included the importance of sustainable financing and human resources, addressing social determinants and stigma, engaging diverse stakeholders, leveraging existing health infrastructure, using sustainable training models, ensuring cultural relevance and appropriateness, and leveraging digital technologies. Discussion: This landscape analysis, though not an exhaustive summary of the literature, describes promising examples of efforts to scale up CIC outside of the research context. Going forward, it will be necessary to mobilize stakeholders at the community, health system, and government levels to effectively promote CIC.

Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events.

The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research. We conclude that social media big data represent a valuable resource for mental health research, however, several methodological limitations and ethical concerns need to be addressed to ensure safe use.

Association Between Care Utilization and Anxiety Outcomes in an On-Demand Mental Health System: Retrospective Observational Study.

BACKGROUND: Anxiety is an extremely prevalent condition, and yet, it has received notably less attention than depression and other mental health conditions from a research, clinical, and public health perspective. The COVID-19 pandemic has only exacerbated growing concerns about the burden of anxiety due to the confluence of physical health risks, economic stressors, social isolation, and general disruption of daily activities. OBJECTIVE: This study examines differences in anxiety outcomes by care modality (coaching, teletherapy and telepsychiatry, and combined care) within an on-demand mental health system. We also explore the association between levels of engagement within each care modality and odds of improvement in symptoms of anxiety. METHODS: We conducted a retrospective observational study of individuals who accessed Ginger, an on-demand mental health system. Data were collected from 1611 Ginger members between January 1, 2018, and December 31, 2019. We used logistic regression to assess the association between care modality and improvement in anxiety symptoms. Within each modality, we assessed the association between level of engagement and improvement. RESULTS: Of 1611 Ginger members, 761 (47.0%) experienced a decrease in anxiety symptoms, as measured by a change from a positive to a negative 2-item Generalized Anxiety Disorder (GAD-2) screen. Among members who still screened positive at follow-up (865/1611, 53%), a total of 192 members (11.9%) experienced a clinically significant score reduction in the full GAD-7 (ie, a score reduction of >5 points), even though their GAD-2 scores were still positive. All modalities showed increased odds of improvement compared to those who were not engaged with coaching or clinical services ("app-only"). Higher GAD-7 intake scores were also associated with decreased odds of improvement. CONCLUSIONS: This study found increased odds of anxiety improvement for all care modalities compared to those who did not engage in care, with larger effect sizes for higher utilization within all care modalities. Additionally, there is a promising observation that those engaged in combined care (teletherapy and text-based coaching) had the greatest odds of anxiety improvement. Future directions include more detailed classifications of utilization patterns and an exploration of explanations and solutions for lower-utilization members.

Achieving the potential of mHealth in medicine requires challenging the ethos of care delivery.

Mobile Health (mHealth) interventions have received a mix of praise and excitement, as well as caution and even opposition over recent decades. While the rapid adoption of mHealth solutions due to the COVID-19 pandemic has weakened resistance to integrating these digital approaches into practice and generated renewed interest, the increased reliance on mHealth signals a need for optimizing development and implementation. Despite an historically innovation-resistant medical ethos, mHealth is becoming a normalized supplement to clinical practice, highlighting increased demand. Reaching the full potential of mHealth requires new thinking and investment. The current challenge to broaden mHealth adoption and to ensure equity in access may be overcoming a "design purgatory," where innovation fails to connect to practice. We recommend leveraging the opportunity presented by the COVID-19 pandemic to disrupt routine practice and with a new focus on theory-driven replicability of mHealth tools and strategies aimed at medical education and professional organizations.

Opportunities to expand access to mental health services: A case for the role of online peer support communities.

This study investigated whether with disruptions in care due to the COVID-19 pandemic, persons who self-identified as living with a mental health condition increased their usage of an online peer support community. We also explored whether study participants who self-reported usage of online peer support communities were interested in using these communities to connect with evidence-based interventions and mental health services. This study employed a cross-sectional online survey design. The survey was disseminated by the Inspire online peer support community and Mental Health America through various social media channels. Descriptive and inferential analyses were conducted to summarize participant demographics, investigate patterns of use of online peer support communities, and interest in accessing additional programs through these platforms. There were 369 survey respondents, with a mean age of 49 (SD = 15.6), of which 77% were female. Most respondents self-reported having depression (34%), post-traumatic stress disorder (25%), and anxiety-related conditions (20%). The number of respondents who reported accessing online peer support platforms multiple times a day appeared to double after March 2020. We also found an overall positive association between frequency of community use and self-reported benefit to mental health. Approximately 81% of respondents expressed interest in accessing mental health services via an online peer support community. Persons who self-report living with mental health conditions and who engage in online peer support communities expressed interest in accessing evidence-based interventions via these online platforms. Participants were most interested in services related to enhancing coping mechanisms and skills, enabling overall wellbeing, and accessing therapy.

Assessing costs of developing a digital program for training community health workers to deliver treatment for depression: A case study in rural India.

Digital technology has emerged as a promising approach for training and building capacity of community health workers in low-income and middle-income countries (LMICs). Little is known about the cost of developing digital training programs in LMICs, which hinders the adoption, implementation, and scaling up of the programs in routine primary care settings. This study assessed the costs of developing a digital program for training community health workers to deliver a psychological treatment for depression in a rural district of Madhya Pradesh, India. We developed survey instruments to document required resources in development, including involved personnel (their roles, responsibilities, time spent, and salaries or payments), information technologies (e.g., smartphones, software programs), and infrastructure-related costs (e.g., vehicle, office space, utilities). Costs were estimated from an accounting perspective. Over a 10-month developmental period, the total costs were 208,814 USD, with the largest portion on human resources (61%, with 14% on management and supervision), followed by information technologies (33%), and infrastructure-related costs (6%). These findings could inform policymakers in LMICs on costs of developing online-training programs, which will be especially useful during the COVID-19 pandemic.

Scaling up of mental health services in the digital age: The rise of technology and its application to low- and middle-income countries

This chapter describes the rapid spread of digital mental health technologies across the world and further explores specific case studies in low-income and middle-income countries (LMICs). We are increasingly seeing rapid rates of technological innovation and adaptation in low-resource settings including the widespread use of smartphone mobile devices, apps and web-based platforms. Health-care settings have taken advantage of this growth and are maximizing its potential by introducing these technologies in their service delivery. These technologies have been applied to various settings such as training of health workers, screening patients, and care delivery. This chapter explores five major areas benefitting from these emerging technologies: (1) community outreach, challenging stigma, and spreading awareness, (2) youth mental health, (3) mental health in humanitarian settings, (4) clinical care and frontline health workers, and (5) technology for severe mental disorders. We close the chapter with a discussion of broad ethical considerations in LMICs, highlighting risks pertaining to misinformation, victimization, and widening health inequities. Finally, we emphasize the role of digital technologies during the COVID-19 pandemic in addressing the potential rise and exacerbation of mental health problems, and how these technologies can potentially be leveraged to alleviate this burden through the remote provision of essential mental health services.

Addressing Mental Health Stigma in Low-Income and Middle-Income Countries: A New Frontier for Digital Mental Health.

BACKGROUND: Mental health stigma is a major barrier to seeking help, and leads to poor quality of life and social withdrawal for individuals living with mental illness. These concerns are especially severe in low-income and middle-income countries (LMICs) that face a disproportionate share of the global burden of mental illnesses. With growing access to digital technologies in LMICs, there may be new opportunities to address mental health stigma. This review considers the potential for emerging digital technologies to advance efforts to challenge mental health stigma in LMICs. METHODS: Promising digital strategies to reduce mental health stigma were identified through searching the peer-reviewed literature. Drawing from the Mental Illness Stigma Framework, these studies of digital strategies were grouped into three categories: 1) protest; 2) education, and 3) contact. RESULTS: These three categories align with established stigma reduction programs. Digital strategies could expand the reach of or complement existing efforts. There are challenges with digital stigma reduction strategies, including the need for cultural adaptation of these programs to diverse contexts and settings, consideration of reliable measurement of mental health related stigma, and risks that digital media could perpetuate the spread of misinformation and exacerbate concerns pertaining to mental health stigma. CONCLUSION: This review highlights the promise of technology for addressing mental health stigma in LMICs. This is imperative in the face of growing demand for mental health services owing to the economic and social impacts of the COVID-19 pandemic, and the increasing reliance on digital platforms among individuals in most countries.

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.

"COVID-19 mental health impact and responses in low-income and middle income countries: Reimagining global mental health": Correction

Reports an error in "COVID-19 mental health impact and responses in low-income and middle-income countries: Reimagining global mental health" by Lola Kola, Brandon A. Kohrt, Charlotte Hanlon, John A. Naslund, Siham Sikander, Madhumitha Balaji, Corina Benjet, Eliza Yee Lai Cheung, Julian Eaton, Pattie Gonsalves, Maji Hailemariam, Nagendra P. Luitel, Daiane B. Machado, Eleni Misganaw, Olayinka Omigbodun, Tessa Roberts, Tatiana Taylor Salisbury, Rahul Shidhaye, Charlene Sunkel, Victor Ugo, Andre Janse van Rensburg, Oye Gureje, Soumitra Pathare, Shekhar Saxena, Graham Thornicroft and Vikram Patel (The Lancet Psychiatry, 2021[Jun], Vol 8[6], 535-550). In this Review, Lola Kola's degree should have been PhD and Brandon A Kohrt's degree should have been PhD. Madhumitha Balaji's affiliation should have been "Sangath, India". These corrections have been made to the online version as of Mar 8, 2021, and will be made to the printed version. (The following abstract of the original article appeared in record 2021-51602-023.) Most of the global population live in low-income and middle-income countries (LMICs), which have historically received a small fraction of global resources for mental health. The COVID-19 pandemic has spread rapidly in many of these countries. This Review examines the mental health implications of the COVID-19 pandemic in LMICs in four parts. First, we review the emerging literature on the impact of the pandemic on mental health, which shows high rates of psychological distress and early warning signs of an increase in mental health disorders. Second, we assess the responses in different countries, noting the swift and diverse responses to address mental health in some countries, particularly through the development of national COVID-19 response plans for mental health services, implementation of WHO guidance, and deployment of digital platforms, signifying a welcome recognition of the salience of mental health. Third, we consider the opportunity that the pandemic presents to reimagine global mental health, especially through shifting the balance of power from high-income countries to LMICs and from narrow biomedical approaches to community-oriented psychosocial perspectives, in setting priorities for interventions and research. Finally, we present a vision for the concept of building back better the mental health systems in LMICs with a focus on key strategies;notably, fully integrating mental health in plans for universal health coverage, enhancing access to psychosocial interventions through task sharing, leveraging digital technologies for various mental health tasks, eliminating coercion in mental health care, and addressing the needs of neglected populations, such as children and people with substance use disorders. Our recommendations are relevant for the mental health of populations and functioning of health systems in not only LMICs but also high-income countries impacted by the COVID-19 pandemic, with wide disparities in quality of and access to mental health care. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

Reducing psychological distress and depression in humanitarian emergencies: An essential role for nonspecialists.

John Naslund and Eirini Karyotaki discuss Mark Jordans and colleagues' accompanying research study on therapy for people with psychological distress in Nepal.

Development and implementation of COVID-19 safety protocols for conducting a randomized trial in global mental health: Field report from Central India.

The COVID-19 pandemic impacted ongoing clinical trials globally resulting in the suspension, cancellation or transition to entirely remote implementation of studies. In India, the first countrywide lockdown was imposed in phases starting from March 2020 to June 2020, followed by a continued restriction on in-person activities including study procedures, which halted the ESSENCE (Enabling translation of Science to Service to ENhance Depression CarE) trial activities such as recruitment, consenting, baseline assessment, digital training orientation, face to face training and end-line assessment evaluation. This situation made it imperative to amend procedures in order to mitigate the risk and address safety requirements for participants and the research team. This paper summarizes the need, development and implementation of the protocols focused on risk reduction and safety enhancement with an objective to resume and continue the research activities while ensuring the safety of study participants and research staff. These protocols are comprised of guidelines and recommendations based on existing literature tailored according to different components in each arm of the trial such as guidelines for supervisors, travellers, training/recruitment venue safety procedures, individual safety procedures; and procedures to implement the study activities. These protocols can be adapted by researchers in other settings to conduct research trials during pandemics such as COVID-19.

Renewed call for lifestyle interventions to address obesity among individuals with serious mental illness in the COVID-19 era and beyond.

Behavioral health has the opportunity to lead the way in using lifestyle interventions to address obesity and health disparities in people with serious mental illness (SMI) in the COVID-19 era. Evidence-based interventions for weight loss in individuals with SMI exist, and the field has developed strategies for implementing these interventions in real-world mental health care settings. In addition to promoting weight loss, lifestyle interventions have the potential to address social isolation and loneliness and other patient-centered outcomes among individuals with SMI, which will be especially valuable for mitigating the growing concerns about loneliness attributed to the COVID-19 pandemic restrictions on in-person encounters. In this commentary, we discuss practice, policy, and research implications related to using evidence-based lifestyle interventions for individuals with SMI during the COVID-19 pandemic and sustaining these programs in the long-term.

Prioritizing the Mental Health and Well-Being of Healthcare Workers: An Urgent Global Public Health Priority.

The COVID-19 pandemic has had an unprecedented impact on health systems in most countries, and in particular, on the mental health and well-being of health workers on the frontlines of pandemic response efforts. The purpose of this article is to provide an evidence-based overview of the adverse mental health impacts on healthcare workers during times of crisis and other challenging working conditions and to highlight the importance of prioritizing and protecting the mental health and well-being of the healthcare workforce, particularly in the context of the COVID-19 pandemic. First, we provide a broad overview of the elevated risk of stress, burnout, moral injury, depression, trauma, and other mental health challenges among healthcare workers. Second, we consider how public health emergencies exacerbate these concerns, as reflected in emerging research on the negative mental health impacts of the COVID-19 pandemic on healthcare workers. Further, we consider potential approaches for overcoming these threats to mental health by exploring the value of practicing self-care strategies, and implementing evidence based interventions and organizational measures to help protect and support the mental health and well-being of the healthcare workforce. Lastly, we highlight systemic changes to empower healthcare workers and protect their mental health and well-being in the long run, and propose policy recommendations to guide healthcare leaders and health systems in this endeavor. This paper acknowledges the stressors, burdens, and psychological needs of the healthcare workforce across health systems and disciplines, and calls for renewed efforts to mitigate these challenges among those working on the frontlines during public health emergencies such as the COVID-19 pandemic.

Psychological Impact of COVID-19 Pandemic on Frontline Health Workers in Low- and Middle-Income Countries.

Healthcare systems in many countries have been overwhelmed by the coronavirus disease (COVID-19) pandemic, with increasing demands to contain and respond to the virus. The result has been increased pressure on frontline health workers. As the pandemic unfolds, the impact on health systems in low-income and middle-income countries (LMICs) is becoming apparent. In lower resource settings, the detrimental effects on frontline health workers will likely be significant due to fragmented infrastructure, low compensation, and significant shortages of necessary resources such as personal protective equipment. These high stress conditions, coupled with risk of infection and fears and anxieties among patients, can result in grave psychosocial consequences for frontline health workers, who play a vital role in delivering the bulk of primary care services in LMICs. In this narrative review, we consider the psychological impact of the COVID-19 pandemic on frontline health workers in LMICs. We describe the important role of frontline health workers, summarize existing literature on burnout and risks to mental health in this essential workforce, and consider how public health emergencies exacerbate these concerns to showcase their vulnerability to mental health impacts of COVID-19. We explore emerging research on the detrimental effects of the COVID-19 pandemic on health workers and consider possible approaches to mitigate these consequences. This review draws from existing studies and emerging evidence to highlight the critical need to consider the wellbeing of frontline health workers, and to address these challenges as health systems respond to the pandemic.