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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.

Efforts to reduce the global burden of common mental disorders have focused on scaling up evidence-based training programs for non-specialist providers to deliver brief psychological interventions. To evaluate these provider training programs, appropriate and scalable assessments of competency need to be developed alongside them. We followed a systematic approach for the cultural adaptation and translation into Hindi of a valid, English, multiple-choice applied knowledge measure to assess non-specialists' competence to deliver a brief psychological intervention for depression in rural India. We then explored the relationship between the performance of 30 non-specialist providers on the same written measure compared with a structured performance-based measure consisting of two role-plays. The results of the multiple-choice assessment had an overall mean score of 37.40 (SD = 11.31) compared to the mean scores of role-play A (the easier role-play) of 43.25 (SD = 14.50) and role-play B (the more difficult role-play) of 43.25 (SD = 13.00). Role-play performance-based measures and written applied knowledge measures represent different approaches with unique strengths and challenges to measuring competence. Scaling up training programs requires the development of scalable methods for competency assessment. Exploring the relationship between these two measures, our team found no apparent differences between the two modes of assessment. Continued comparison of these approaches is needed to determine the consistency of outcomes across the two formats and to link the scores on these measures with clinical performance as reflected by the quality of care and patient outcomes.Trial Registration: ClinicalTrials.gov Identifier: NCT04157816; 8th November 2019.

Objective Telepsychiatry involves use of telecommunications technology to deliver psychiatric care and offers promise to reduce costs and increase access to mental health services. This systematic review examined cost reporting of telepsychiatry programmes for mental healthcare. Methods We systematically searched electronic databases for studies reporting costs, including economic evaluations such as cost-effectiveness analyses, or costs of developing telepsychiatry programmes for clinical care of mental disorders. Included studies enrolled participants with mental disorders and involved telepsychiatry for depression, anxiety disorders, serious mental illnesses including schizophrenia spectrum disorders and bipolar disorder, post-traumatic stress disorder, dementia or epilepsy. Results Twenty-six unique studies met inclusion criteria (17,967 participants), with most targeting depression ( n = 7; 27%), general mental disorders and screening ( n = 7; 27%), child mental health ( n = 4; 15%) and geriatric mental health ( n = 4; 15%). Nearly all studies ( n = 25; 96%) compared telepsychiatry programme costs with either standard in-person consultation or usual care, with 15 (60%) reporting that telepsychiatry programmes were less expensive, and 8 (32%) showing telepsychiatry programmes were more expensive. Three studies reported cost-effectiveness analyses, favouring telepsychiatry programmes, but at highly elevated cost-effectiveness thresholds. Few studies reported costs of developing or delivering telepsychiatry programmes. Conclusion Costs of telepsychiatry programmes varied widely, with substantial heterogeneity in how costs were defined and reported. Some programmes cost less than in-person services while others cost more. Therefore, rigorous cost-effectiveness studies following established standards in economic evaluation are needed to inform implementation and sustainability of these programmes in health systems.

Objectives: Depression is a leading cause of disability that disproportionately impacts low- and middle-income countries. With greater likelihood of access to a mobile phone than mental health care in most countries, there may be opportunities to leverage these digital tools toward increasing access to depression care. We present a case example from the ESSENCE project in India using digital technology to build capacity of community health workers (CHWs), the essential workforce responsible for frontline maternal and child health services in the country, to deliver a brief evidence-based psychological treatment for depression in primary care. Methods: We discuss key considerations in the design and evaluation of the digital training program, with emphasis on strategies to overcome poor mobile connectivity in rural and underresourced settings, and ensuring participant engagement. We describe the systematic approach to tailor the program to meet the needs of the target user group of CHWs. This involved careful design of the digital program and adapting the training content to the local culture and context. We also describe the use of remote coaching and other support techniques to promote engagement and completion of the training program. Results: We present findings from a pilot study with 42 CHWs that directly informed refinements to the training program and design of a subsequent randomized controlled trial enrolling 340 CHWs. We illustrate the progression from formative research to a larger trial, and the integration of remote coaching support, text messaging, and automated reminders within the digital program to promote engagement. We describe how these efforts are informing the design of a digital platform for training frontline health workers to deliver brief psychological treatments in other settings, including the United States. Conclusions: This example of reciprocal learning in global mental health is particularly timely given the impacts of the COVID-19 pandemic, and renewed efforts to train and support frontline health workers to meet the anticipated surge in mental health challenges globally. This study could yield a blueprint for using widely available digital technology for training and supporting frontline health workers toward scaling up mental health services in India and globally. DDD, TREAT, R

Increased interest in disseminating and implementing psychological treatments has focused on the need for evidence-based training programs for providers, especially those without specialized training. To evaluate provider-training programs, validated outcome measures are necessary; however, the scalable measurement of training outcomes has been largely overlooked. Current methods of assessing providers' ability to deliver psychological treatments are generally time-consuming and costly, representing a major bottleneck in scaling up mental health care for commonly occurring disorders such as depression. The present study describes the development and initial validation of a scalable measure for assessing provider competence in delivering a brief behavioral activation treatment for depression, called the Healthy Activity Program, adapted for primary care settings. The measure focuses on testing knowledge about the treatment and applied knowledge regarding how to skillfully deliver the treatment, both essential features of competence. The measure was tested on a sample of 531 respondents with a variety of educational levels and professional backgrounds and found to meet the requirements of the Rasch model. Three versions of the measure each of equal difficulty were derived to allow repeat testing of training outcomes over time. A scalable measure of provider competence is an essential first step towards supporting the wider dissemination and implementation of brief psychological interventions for depression, especially in low-resource settings.

Background Training non-specialist health workers (NSHWs) at scale is a major barrier to increasing the coverage of depression care in India. This trial will test the effectiveness of two forms of digital training compared to conventional face-to-face training in changing the competence of NSHWs to deliver a brief evidence-based psychological treatment for depression. Methods This protocol is for a three-arm, parallel group randomized controlled trial comparing three ways of training NSHWs to deliver the Healthy Activity Program (HAP), a brief manualized psychotherapy for depression, in primary care. The arms are: digital training (DGT); digital training combined with individualized coaching support (DGT+); and conventional face-to-face training (F2F). The target sample comprises N = 336 government contracted NSHWs in Madhya Pradesh, India. The primary outcome is change of competence to deliver HAP; secondary outcomes include cost-effectiveness of the training programs, change in participants' mental health knowledge, attitudes and behavior, and satisfaction with the training. Assessors blind to participant allocation status will collect outcomes pre- (baseline) and post- (endpoint) training to ascertain differences in outcomes between arms. Training program costs will be collected to calculate incremental costs of achieving one additional unit on the competency measure in the digital compared to face-to-face training programs. Health worker motivation, job satisfaction, and burnout will be collected as exploratory outcome variables. Discussion This trial will determine whether digital training is an effective, cost-effective, and scalable approach for building workforce capacity to deliver a brief evidence-based psychological treatment for depression in primary care in a low-resource setting. Trial Registration ClinicalTrials.gov Identifier: NCT04157816

Introduction: Task sharing holds promise for scaling up depression care in countries such as India, yet requires training large numbers of non-specialist health workers. This pilot trial evaluated the feasibility and acceptability of a digital program for training non-specialist health workers to deliver a brief psychological treatment for depression. Methods: Participants were non-specialist health workers recruited from primary care facilities in Sehore, a rural district in Madhya Pradesh, India. A three-arm randomized controlled trial design was used, comparing digital training alone (DGT) to digital training with remote support (DGT+), and conventional face-to-face training. The primary outcome was the feasibility and acceptability of digital training programs. Preliminary effectiveness was explored as changes in competency outcomes, assessed using a self-reported measure covering the specific knowledge and skills required to deliver the brief psychological treatment for depression. Outcomes were collected at pre-training and post-training. Results: Of 42 non-specialist health workers randomized to the training programs, 36 including 10 (72%) in face-to-face, 12 (86%) in DGT, and 14 (100%) in DGT+ arms started the training. Among these participants, 27 (64%) completed the training, with 8 (57%) in face-to-face, 8 (57%) in DGT, and 11 (79%) in DGT+. The addition of remote telephone support appeared to improve completion rates for DGT+ participants. The competency outcome improved across all groups, with no significant between-group differences. However, face-to-face and DGT+ participants showed greater improvement compared to DGT alone. There were numerous technical challenges with the digital training program such as poor connectivity, smartphone app not loading, and difficulty navigating the course content&mdash, issues that were further emphasized in follow-up focus group discussions with participants. Feedback and recommendations collected from participants informed further modifications and refinements to the training programs in preparation for a forthcoming large-scale effectiveness trial. Conclusions: This study adds to mounting efforts aimed at leveraging digital technology to increase the availability of evidence-based mental health services in primary care settings in low-resource settings.

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.

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.

Background Antenatal depression is recognized as one of the strongest predictors of postnatal depression, which itself is a strong predictor of mental disorders. The detection of antenatal depression is important and requires an accurate and valid screening tool. The Edinburgh Postnatal Depression Scale (EPDS) is one of the most extensively studied screening instruments for assessing postnatal depression. Aim To validate a linguistically and contextually appropriate Hindi version of the EPDS for use in women attending antenatal care in Sehore, Madhya Pradesh. Methods and Material A rigorously translated and modified Hindi version of the EPDS was developed and validated using the Hindi version of the PHQ-9 as a gold standard. A consecutive sample of women (n = 100) attending antenatal check-ups in healthcare facilities in Sehore district were interviewed. Results The validity measure of Receiver Operator Characteristic curve was plotted for different cutoffs of EPDS. The optimal cutoff score for the Hindi validation of the EPDS was 9/10 for antenatal depression with sensitivity, specificity, positive and negative predictive value of 65.38%, 79.73%, 53.13%, and 86.76% respectively and area under the curve 0.7346. The internal consistency using Cronbach’s alpha was 0.86 indicating good homogeneity. Conclusion Findings of this study suggest that the Hindi version of the EPDS can be used as a valid measure to screen antenatal depression in India.