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.

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.