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Background: Mental health issues are common among college students, and structured services have been proven to enhance outcomes. Despite increased enrolment for higher education in India, college mental health services remain sparse. JEEVANI is the first structured state-wide college mental health service in India. This paper describes its framework and provides an overview of its functioning during the initial five months. Methods: In 2019–2020, the Directorate of Collegiate Education, Government of Kerala, implemented the program in 66 colleges catering to approximately 60,000 students. Qualified counsellors were trained to identify issues and provide interventions and early referrals, using a stepped-care approach. They conducted awareness programs to promote mental health and reduce stigma. Results: The services were accessed by 2,315 students during the assessment period (October 2019 to February 2020). The beneficiaries were predominantly females (54.1%). Over a third (38.8%) belonged to the lower socio-economic strata, and 2.5% had significant vulnerabilities. Although no syndromal diagnoses were made, anxiety and depression were the most common presentations. The counsellors provided 3,758 individual sessions and facilitated support for students who reported academic difficulties or interpersonal issues. Severe mental illness was detected in 54 students, and referrals for specialist mental health input were initiated in 68. Conclusion: Describing the framework, sharing the technical material, and providing an overview of its functioning from a resource-constrained setting in India may encourage higher education institutions in low- and middle-income countries to consider similar projects. [ABSTRACT FROM AUTHOR]

Background: In India, mental health rehabilitation centers run income generation programs (IGP) for therapeutic engagement, skills training, and income generation of clients. The centers have evolved IGP models relevant to their settings. There is a paucity of published literature on practices employed by the centers. Methods: This paper compiles data gathered from visits to 13 centers between November 2018 and April 2019. Information was collected through observation and interviews with staff involved in IGP, using a semi-structured pro forma designed for study. Results: Most centers were based in south India (n = 11) and urban areas (n = 12). Each center ran two to seven IGP. Each center involved 20–50 clients in IGP. Clients involved in IGP were aged 20–60 years. The centers ran a range of IGP, including the manufacturing of household consumables, paper products, textile products, handicraft products, food products, and jute products; animal husbandry and horticulture initiatives; and running cafeterias and petty shops. IGP were mostly selected based on market demand and sales value of products (n = 11); ease of doing (n = 5); interests, abilities, exposure, and experience of clients (n = 5); and availability of resources (n = 3). Products were priced primarily to cover input and labor costs (n = 8), and many centers sold products below the market rates (n = 5). Running stalls during public events was a common strategy for the sale of products (n = 9). Personal contacts and "word of mouth" publicity were used for advertisement (n = 6). Four centers involved family members in IGP. Conclusion: The nature of IGP varied in terms of setting, available resources, and profile of clients availing the services. Marketing and sales were a challenge. A supportive framework of policies and schemes is essential to promote IGP at mental health rehabilitation centers. This report may be helpful for professionals and centers planning to set up an IGP. [ABSTRACT FROM AUTHOR]

Background: The objective of this review was to identify and synthesize the findings of the existing literature that highlighted the psychosocial and mental health issues of the migrants during the COVID-19 pandemic in India. Materials and Methods: An exploration of the PubMed, Google Scholar, Web of Science, ScienceDirect, Google search, and some other manual searches was undertaken so that no relevant study was missed. A search on Indian scientific literature and cross-references retrieved was also conducted to get further information. The period of the search has been one year from March 1, 2020, to March 31, 2021. The database was searched with the terms "migrants," "migrant workers," "COVID-19 pandemic," "lockdown," "migrant population," "mental health issues," "psychosocial issues" to retrieve the published literature. Results: Initially, 48 research articles were retrieved and 10 of them were excluded as they had no sufficient information about mental and psychosocial challenges faced by the migrants. In the remaining 38 articles, 9 articles were original research work (n = 9) published from India related to the impact of COVID-19 on migrants. The second category consisted of editorials or commentary or letters to the editor or policy paper on psychosocial and mental health aspects of migrants during the COVID-19 pandemic (n = 17). The third category was 11 articles on perspectives or opinions or viewpoints (n = 11) related to various psychosocial and mental health issues among migrants in India during the COVID-19 pandemic. Predominantly psychosocial issues found among migrants were living conditions, basic needs, family concerns, and joblessness. The mental health issues found among migrants during the COVID-19 pandemic included psychological distress, depressive disorders, anxiety disorders, substance use disorders. Conclusion: Existing literature from India has shown that the COVID-19 pandemic severely impacted the psychosocial and mental health status of the migrants in India. This review suggests the need for more research work from the affected states of India and the development of psychosocial and mental health intervention strategies to minimize the impact of the COVID-19 pandemic on migrants. [ABSTRACT FROM AUTHOR]

Background: India has the second-largest population of elderly in the world. Serious mental illness (SMI) is a subset of the mental disorders that result in significant functional impairment and is usually long term. Persons with SMI face several challenges in their old age that are different from the issues faced by younger people with SMI. Understanding the problems faced by elderly individuals suffering from SMI is fundamental for planning programs to address them. The SENIOR (Support Systems Evaluation of Neuropsychiatric Illness in Old age) project is a study aimed at evaluating the problems faced in obtaining mental health care by elderly persons having SMI in the Kerala state of India. Aim: To describe the scientific methodology of the SENIOR project. Methods: This study employs mixed-methods cross-sectional design among a minimum sample of 768 SMI patients identified through cluster sampling from three districts, and Focus Group Discussion among mental health program officials. Discussion: This paper presents a methodological model to assist researchers in future field epidemiological studies on mental illness. Assessing service needs and barriers to access for the most vulnerable among the mentally ill will help the policymakers make evidence-based decisions to improve their quality of life. [ABSTRACT FROM AUTHOR]

Background: COVID-19 has a profound impact on people with existing mental disorders, augmenting the prevailing inequalities in mental health. Methods: In order to understand the status of telepsychiatry in India and the role of artificial intelligence (AI) in mental health and its potential applications, a scoping review was done between March 2020 and May 2020. The literature review revealed 253 papers, which were used to derive the primary framework for analysis. The information was then reviewed for ideas and concepts, which were integrated with evidence from gray literature and categorized under broader themes based on the insights derived. Finally, a thematic framework was developed for discussion to tailor scientific information for decision-makers' needs. Results: Review findings are summarized under the following headings: changing patterns of health-seeking behavior, origin and evolution of telepsychiatry, possible applications of telepsychiatry and AI, technological features, and AI models in mental health. Conclusions: Though there are several potential opportunities, the time is not yet ripe for telepsychiatry and AI to be adopted fully in the field of mental health care. But it is time that we develop indigenous proprietary technology and test and validate it. With many solutions offered by telepsychiatry and AI, psychiatrists must choose an appropriate tool based on their requirements, availability of resources, and feasibility of deployment. Harmony between conventional care and technology-based care must be reached gradually. [ABSTRACT FROM AUTHOR]