Background: The lifetime prevalence of mental morbidity in Assam is estimated at 8% (NMHS 2015-16). Understanding the distribution patterns of different types of mental disorders among persons with mental morbidity in different districts would facilitate evidence-driven district mental health programming in Assam. Given the varied socio-geopolitical situation across districts in Assam, significant variations in the distribution of mental disorders are expected.
View Article and Find Full Text PDFBackground: 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).
View Article and Find Full Text PDFThe 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.
View Article and Find Full Text PDFUnderstanding 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.
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