10.5061/DRYAD.J167M
Trani, Jean-Francois
Washington University in St. Louis
Bakhshi, Parul
Washington University in St. Louis
Kuhlberg, Jill
Washington University in St. Louis
Venkataraman, Sreelatha S.
Venkataraman, Hemalatha
Radboud University Nijmegen
Mishra, Nagendra N.
Dr. Ram Manohar Lohia Hospital
Groce, Nora E.
University College London
Jadhav, Sushrut
University College London Hospitals NHS Foundation Trust
Deshpande, Smita
Dr. Ram Manohar Lohia Hospital
Data from: Mental illness, poverty and stigma in India: a case control study
Dryad
dataset
2015
Schizophrenia & psychotic disorders
2015-02-11T17:53:16Z
2015-02-11T17:53:16Z
en
https://doi.org/10.1136/bmjopen-2014-006355
1257732 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Objective: To assess the effect of experienced stigma on depth of
multidimensional poverty of persons with severe mental illness (PSMI) in
Delhi, India, controlling for gender, age and caste. Design: Matching case
(hospital)–control (population) study. Setting: University Hospital
(cases) and National Capital Region (controls), India. Participants: A
case–control study was conducted from November 2011 to June 2012. 647
cases diagnosed with schizophrenia or affective disorders were recruited
and 647 individuals of same age, sex and location of residence were
matched as controls at a ratio of 1:2:1. Individuals who refused consent
or provided incomplete interview were excluded. Main outcome measures:
Higher risk of poverty due to stigma among PSMI. Results: 38.5% of PSMI
compared with 22.2% of controls were found poor on six dimensions or more.
The difference in multidimensional poverty index was 69% between groups
with employment and income of the main contributors. Multidimensional
poverty was strongly associated with stigma (OR 2.60, 95% CI 1.27 to
5.31), scheduled castes/scheduled tribes/other backward castes (2.39, 1.39
to 4.08), mental illness (2.07, 1.25 to 3.41) and female gender (1.87,
1.36 to 2.58). A significant interaction between stigma, mental illness
and gender or caste indicates female PSMI or PSMI from ‘lower castes’ were
more likely to be poor due to stigma than male controls (p<0.001)
or controls from other castes (p<0.001). Conclusions: Public stigma
and multidimensional poverty linked to SMI are pervasive and intertwined.
In particular for low caste and women, it is a strong predictor of
poverty. Exclusion from employment linked to negative attitudes and lack
of income are the highest contributors to multidimensional poverty,
increasing the burden for the family. Mental health professionals need to
be aware of and address these issues.
MISPI_datasetThe dataset contains general information about the
construction of the dwelling, source of cooking fuel, light etc., eating
habits within the household (HH), HH expenditure, HH assets, and
respondent general views about various aspects of inclusion of persons
with disabilities.MISPICodebookv3.docx