A close critical look of India's National Mental Health Survey 2016

Author:

Bhandary Rajeshkrishna P.1,John Soyuz1,Nagaraj Anil Kumar M.1,Praharaj Samir K.1,Rao Chythra R.2,Kulkarni Muralidhar M.2,Agarwal Sheena K.3

Affiliation:

1. Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India

2. Department of Community Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India

3. Department of Psychiatry, Institute for Psychological Health, Thane, Mumbai, Maharashtra, India

Abstract

The National Mental Health Survey 2016 (NMHS 2016) was a large epidemiological study, one of its kind, conducted by the National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru to overcome the shortcomings of the previous surveys. The detailed report of the study is available in two parts- ‘mental health systems’ and ‘prevalence, pattern and outcomes’. Though done comprehensively, there are some inevitable limitations. The private sector, a substantial health care provider in the country was not a participant in the survey. Though MINI version 6.0 is a standard and structured instrument, it does not cover many commonly encountered mental illnesses like somatoform disorders. Further, the methodology of the survey makes it difficult for an accurate calculation of the prevalence of individual major psychiatric disorders. The survey has been appraised using a standard checklist for prevalence studies. The detailed qualitative data has not been shared in the report. The contribution of the traditional indigenous systems of healthcare and accessibility of services in rural areas have not been elaborated. Thus, the need for a comprehensive and culturally sensitive assessment tool, involvement of the private sector, and enhancing funding provision to improve the infrastructure are emphasized as future directions for the subsequent phases of the survey.

Publisher

Medknow

Subject

Psychiatry and Mental health

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