Exploring the feasibility and public health impact of integrating a community-based recovery-oriented intervention for people living with schizophrenia in partnership with a tertiary care mental hospital in India.

Background: There is a priority need to make community-based care widely available for people living with schizophrenia (PLwS) in low- and middle-income countries. An innovative approach for increasing access could be to integrate clinical services available in tertiary care hospitals with community-based care through a task-sharing approach. We describe such an integrated intervention that was implemented at Tezpur in northeast India in collaboration with the Lokopriya Gopinath Bordoloi Regional Institute of Mental Health (LGBRIMH). Method: The objectives of the study were to illustrate the feasibility of integrating and implementing the intervention and to describe its individual, systemic, and public health impacts. Due to the limited resources available, we conducted a pragmatic single-arm longitudinal evaluation of the intervention cohort over 24 months. Results: Of the 239 PLwS enrolled in the intervention, 198 (83%) were followed up for 24 months, with nearly three-quarters reporting a >70% reduction in disabilities, most notably between 6 and 18 months. There was a marked reduction in unmet needs across multiple domains, and at 24 months, 62% of the cohort was engaged in individual jobs or other market-linked livelihood opportunities. There was greater uptake and retention with outpatient contacts at the LGBRIMH, and PLwS experienced a marked (82%) reduction in inpatient admissions rates, as compared to before enrolment. Over a period of 24 months, primary caregivers reported that their families experienced significantly fewer social difficulties such as unemployment, interpersonal conflicts, and social isolation. The intervention had a significant public health impact, with an estimated 51.8% effective treatment coverage rate for the integrated intervention. Conclusion: Our findings provide preliminary evidence of the feasibility of implementing the integrated intervention and its effectiveness. We believe that there is merit in further in-depth refinement and exploration of this implementation-related research and cost analysis while replicating the intervention in other tertiary care institutions.

In low- and middle-income countries such as India, integrating clinical services available at tertiary mental health hospitals with community-based care through a task-sharing approach is an innovative way to make community-based care widely available for people living with schizophrenia (PLwS). The purpose of our study was to investigate the feasibility of implementing such an intervention in a community in Tezpur, northeastern India, in collaboration with a Lokopriya Gopinath Bordoloi Regional Institute of Mental Health (LGBRIMH), and to describe the individual, systemic, and public health effects of the intervention. Our findings suggest that integrating the intervention is feasible, has significant impacts on individuals and public health, and is an effective way to expand access to community-based care for PLwS through partnerships with existing tertiary care institutions.

Using evidence in mental health policy agenda-setting in low- and middle-income countries: a conceptual meta-framework from a scoping umbrella review.

The purpose of this article is to close the gap in frameworks for the use of evidence in the mental health policy agenda-setting in low- and middle-income countries (LMICs). Agenda-setting is important because mental health remains a culturally sensitive and neglected issue in LMICs. Moreover, effective evidence-informed agenda-setting can help achieve, and sustain, the status of mental health as a policy priority in these low-resource contexts. A scoping 'review of reviews' of evidence-to-policy frameworks was conducted, which followed preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Nineteen reviews met the inclusion criteria. A meta-framework was developed from analysis and narrative synthesis of these 19 reviews, which integrates the key elements identified across studies. It comprises the concepts of evidence, actors, process, context and approach, which are linked via the cross-cutting dimensions of beliefs, values and interests; capacity; power and politics; and trust and relationships. Five accompanying questions act as a guide for applying the meta-framework with relevance to mental health agenda-setting in LMICs. This is a novel and integrative meta-framework for mental health policy agenda-setting in LMICs and, as such, an important contribution to this under-researched area. Two major recommendations are identified from the development of the framework to enhance its implementation. First, given the paucity of formal evidence on mental health in LMICs, informal evidence based on stakeholder experience could be better utilized in these contexts. Second, the use of evidence in mental health agenda-setting in LMICs would be enhanced by involving a broader range of stakeholders in generating, communicating and promoting relevant information.

National Mental Health Survey of India, 2016 - Rationale, design and methods.

Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. Recognizing this necessity, the Ministry of Health and Family Welfare, Government of India, commissioned the National Mental Health Survey (NMHS) in the year 2014-15. The NMHS aimed to estimate the prevalence and burden of mental health disorders in India and identify current treatment gaps, existing patterns of health-care seeking, service utilization patterns, along with an understanding of the impact and disability due to these disorders. This paper describes the design, steps and the methodology adopted for phase 1 of the NMHS conducted in India. The NMHS phase 1 covered a representative population of 39,532 from 12 states across 6 regions of India, namely, the states of Punjab and Uttar Pradesh (North); Tamil Nadu and Kerala (South); Jharkhand and West Bengal (East); Rajasthan and Gujarat (West); Madhya Pradesh and Chhattisgarh (Central) and Assam and Manipur (North East). The NMHS of India (2015-16) is a unique representative survey which adopted a uniform and standardized methodology which sought to overcome limitations of previous surveys. It employed a multi-stage, stratified, random cluster sampling technique, with random selection of clusters based on Probability Proportionate to Size. It was expected that the findings from the NMHS 2015-16 would reveal the burden of mental disorders, the magnitude of the treatment gap, existing challenges and prevailing barriers in the mental-health delivery systems in the country at a single point in time. It is hoped that the results of NMHS will provide the evidence to strengthen and implement mental health policies and programs in the near future and provide the rationale to enhance investment in mental health care in India. It is also hoped that the NMHS will provide a framework for conducting similar population based surveys on mental health and other public health problems in low and middle-income countries.