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Background: This study is a low-cost community mental health task-sharing model driven by university students to strengthen the mental health workforce in poor resource settings. This article presents the feasibility of a stepped referral model using the community health workforce and university students. The primary feasibility objective is to detect and refer people with mental illness from the community using a task-sharing approach., Methods: We tested the model using a cross-sectional, one-phase door-knock survey in three geographically defined locations in Kerala, India, between May and July 2019. Students surveyed 549 residents above 18 years of age who consented to participate in the study to detect depressive symptoms and suicidality. The feasibility of the current model was evaluated based on four criteria: (a) identification and deployment of untapped human resources, (b) coordination of community health resources, (c) the acceptability of stepped referral pathways, and (d) identification of implementation challenges., Results: The mean age of the participants was 38.8, and more than 62% of the respondents were women. The results showed that 11.29%, 8.38%, and 4.91% of people reported mild, moderate, and severe levels of depression, respectively, and suicidal thoughts were found in 6.9% and suicidal ideation in 1.8%. The odds of depression were higher among females compared to males (OR: 1.64 (0.75-2.52), poor people (OR: 2.01 (1.14-2.88), and people with chronic illnesses (OR: 2.03 (1.24-2.81). The agreement of the findings with professional-administered research validated the strategy's efficiency. Twenty-seven patients with severe/extreme degrees of depression were sent for high-intensity interventions led by the mental health team, whereas 135 individuals with mild and above depression were referred for low-intensity interventions., Conclusions: The newly recruited mental health workforce-driven screenings were acceptable and effective in detecting mental illness in the community population. We tested the care coordination systems and processes in creating referral pathways for the detected patients. Further, task-sharing stepped referral model will be tested in five panchayats (the lowest tier of local self-government) before replicating the model across India through Unnat Bharat Abhiyan (UBA) scheme., (© 2022. The Author(s).)

Background: The lockdown associated with the COVID-19 pandemic is likely to impact people's mental health, especially those from economically disadvantaged and vulnerable sections of society. Mental health can be affected by many factors, including fear of disease transmission, from response measures against the pandemic like social distancing, movement restriction, fear of being in quarantine, loneliness, depression due to isolation, fear of losing work and livelihood and avoiding health care due to fear of being infected. Telephonic befriending intervention by non-specialists will be used to provide social and emotional support to the youth from the Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDUGKY), an initiative of the Government of India. This study aims to promote mental wellbeing and reduce depressive symptoms by assisting participants to mobilise social support from family, friends and significant others by using the telephonic befriending intervention., Methods: In this article, we report the design and protocol of a multi-centre cluster randomised controlled trial. In total, 1440 participants aged 18-35 years who have recently completed their course out of the DDU-GKY initiative will be recruited in the study from 12 project-implementing agencies (PIAs) across six geographical zones of India. Participants from 6 of these agencies will be assigned to the telephonic befriending intervention arm, and the other six agency participants will be assigned to the general enquiry phone call arm (control). The primary outcomes of this study are mental wellbeing, depressive symptoms and perceived social support. Baseline assessments and follow-up assessments will be carried out 1 month following the intervention using WHO-5, PHQ and MSPSS-12 questionnaires. The befriending intervention will be provided by DDU-GKY staff, whom a virtual training programme will train., Discussion: This trial will help assess whether participants who are offered emotional, social and practical support through befriending will experience lesser symptoms of depression and better mental health compared to participants who do not receive this intervention through mobilised social support from friends, family and others., Trial Registration: Clinical Trial Registry India (ICMR-NIMS) CTRICTRI/2020/07/026834 . Registered on 27 July 2020., (© 2021. The Author(s).)

Background: Kerala is known as the diabetes mellitus (DM) and hypertension (HTN) capital of the world, thus compelling health professionals to model strategies, addressing their social, behavioural, and cognitive risk factors and eliminating various barriers to management. This paper describes the protocol of our study that aims to examine the effectiveness and sustainability of an integrated care model for the management of chronic conditions and their risk factors through a family-based intervention. The proposed care model targets to modify systems and processes that predispose to chronic conditions by enhancing social cohesion and social networks, preventing lifestyle risks, developing iterative cognitive interventions, and engaging the family into customised treatment adherence strategies navigated by community health social workers (CHSWs)., Methods: A cluster randomised controlled trial (RCT) in selected participants will be conducted involving additional assessments prior to the baseline assessment. The assessment will identify and categorise patients into four risk groups, namely behavioural, social, cognitive, and multiple, based on dominant risks identified. Eligible participants will be randomly allocated (at a ratio of 1:1) into the intervention or control arm. The intervention arm will receive social, behavioural, and cognitive or multiple interventions corresponding to the identified risk groups, whereas the control arm will receive general intervention. Both the groups will be followed up at 6 months and 12 months post baseline to measure outcomes. The primary outcome will be the control of HTN and DM, and secondary outcomes include decreased depression and anxiety and improved functioning, social cohesion, and social network linkages. The sustainability and scalability of this intervention will be assessed through cost effectiveness, acceptability, and user friendliness of the integrated approach by performing a qualitative evaluation., Discussion: This RCT will inform the potential paradigm shift from a medical model of chronic condition management to a multidimensional, multisystem, and multidisciplinary convergence model navigated by CHSWs. Such a model is not currently considered in the management of chronic conditions in Kerala., Trial Registration: Trial has been prospectively registered on Clinical Trial Registry of India- CTRI/2020/12/029474 on 1st December 2020.

Background: Cardiovascular disease (CVD) is the leading cause of mortality in India. Social and behavioural factors are strongly interrelated in the prevention and control of CVD. The ability to make lifestyle changes to control hypertension and diabetes (major risk factors for CVD) is determined by factors such as education, gender, caste, poverty, and urbanicity. This study aimed to improve our understanding of the inter-relationship of social and behavioural factors in the management of elevated serum glucose and high blood pressure and co-morbid mental health conditions., Methods: A population-based catchment area cross sectional survey was conducted in Kerala, India. Data were collected from residents aged over 30 years (n = 997) using standardized tools and clinical measures. We performed latent class analysis incrementally to extract homogeneous latent classes of individuals based on their responses to social and behavioural risk factors in the survey. Using structural equation models, we assessed the mediating effect of depression and anxiety, and social or behavioural risk factors, on management of high blood pressure and raised serum glucose levels., Results: The prevalence of high blood pressure and blood glucose in the sample was 33 and 26% respectively. Latent class analysis found three clusters of risk factors. One had a predominance of behavioural characteristics, another of social risk factors and the third was a low risk group. Age, female sex, and marital status had an effect on high blood pressure and high glucose, though were mediated by mental health, social and behavioural risk factors., Conclusions: Interventions to improve the management of risk factors for CVD need to address social risk factors and be sensitive to the needs of population sub-groups that may require additional support to access health services. An integration of social and health services may be required to achieve this.