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ORIGINAL ARTICLE
Year : 2016  |  Volume : 25  |  Issue : 2  |  Page : 171-178

Employability of mentally ill persons in India: A self-report-based population study


1 Consultant Psychiatrist, Ahana Hospitals; Founder Director, MS Chellamuthu Trust and Research Foundation, Madurai, Tamil Nadu, India
2 Department of Psychiatry, Shri Sathya Sai Medical College and Research Institute, Kancheepuram, Tamil Nadu, India

Correspondence Address:
Anusa Arunachalam Mohandoss
Department of Psychiatry, Shri Sathya Sai Medical College and Research Institute, Ammapettai, Kancheepuram, Tamil Nadu
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ipj.ipj_72_16

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Introduction: The employment status of mentally ill patients is a reflection of their productivity, control of illness besides providing therapeutic benefits and integration into mainstream society. Owing to the associated stigma, self-reporting of mental illness (SRMI) often is rare. Census exercise of India in 2011 provides an insight of SRMI and employment status of such people. This study was undertaken to consider the role of gender, age group, and place on the employment status of SRMI. Methodology: Frequency of SRMI, age group, gender, and employment status was gathered from Indian 2011 census sources. Descriptive statistics and logistic regression were employed. P≤ 0.05 was taken as significant. Results: Majority (68.6%) of the SRMI people resides in rural areas, in the economically productive age group of 15–59 years (75.88%) and often males (57.51%). Of the SRMI as reported in the data, 78.62% were not employed while 2.4% of them were currently employed. The employability frequency distributions of SMRIs were statistically different in terms of area, age group, and gender with significance. Discussion: Although the mental illness data of 2011 census was rejected by mental health professionals citing discrepancy and underestimating of the prevalence of mental illness, it provides a robust estimate of the employability, self-reporting tendency of mental illness. The association of the factors provides a unique insight into SRMIs in India. Conclusion: Understanding the interplay of factors may yield robust estimates and clues for policy framers to formulate employment-related policies for employment opportunities for mentally ill patients.


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