What question did this study set out to answer?

To determine the prevalence, socio-demographic risk factors, and treatment gap for mental disorders across a nationally representative population in India.

March 4, 2020International Journal of Social Psychiatry

The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity

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Authors

GSGautham Melur SukumarRajarajeswari Medical College and Hospital GGGopalkrishna GururajNational Institute of Mental Health and Neurosciences MVMathew VargheseA P J Abdul Kalam Technological University

Discussion

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Implication

Cross-sectional survey reveals high mental morbidity prevalence alongside an 84.5% treatment gap in Indian adults, highlighting substantial unmet psychiatric needs.

Key Points

To determine the prevalence, socio-demographic risk factors, and treatment gap for mental disorders across a nationally representative population in India.
Multi-stage, stratified, random cluster sampling across 12 Indian states, surveying 34,802 adults aged 18+ using tablet-assisted personal interviews.
Mental disorders were diagnosed via MINI 6 according to ICD-10 Diagnostic Criteria for Research (DCR).
Multivariate logistic regression was employed to evaluate associations with socio-demographic factors, supported by a three-tier quality assurance system.
Weighted lifetime prevalence of any mental morbidity was 13.67% (95% CI: 13.61–13.73), with a current prevalence of 10.56% (95% CI: 10.51–10.61).
Most frequent conditions included psychoactive substance use disorders (22.44%), mood disorders (5.61%), and neurotic and stress-related disorders (3.70%), with higher rates in males, middle-aged adults, urban-metro residents, and lower-income households.
The treatment gap for overall mental morbidity reached 84.5%, indicating that nearly 150 million individuals experience mental health conditions without adequate care.

Cite This Study

Sukumar et al. (2020) studied this question.

synapsesocial.com/papers/698ca8422ab66dd7aac6ed55 https://doi.org/10.1177/0020764020907941

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March 4, 2020International Journal of Social Psychiatry

The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Member takes

Implication

Cross-sectional survey reveals high mental morbidity prevalence alongside an 84.5% treatment gap in Indian adults, highlighting substantial unmet psychiatric needs.

Key Points

To determine the prevalence, socio-demographic risk factors, and treatment gap for mental disorders across a nationally representative population in India.
Multi-stage, stratified, random cluster sampling across 12 Indian states, surveying 34,802 adults aged 18+ using tablet-assisted personal interviews.
Mental disorders were diagnosed via MINI 6 according to ICD-10 Diagnostic Criteria for Research (DCR).
Multivariate logistic regression was employed to evaluate associations with socio-demographic factors, supported by a three-tier quality assurance system.
Weighted lifetime prevalence of any mental morbidity was 13.67% (95% CI: 13.61–13.73), with a current prevalence of 10.56% (95% CI: 10.51–10.61).
Most frequent conditions included psychoactive substance use disorders (22.44%), mood disorders (5.61%), and neurotic and stress-related disorders (3.70%), with higher rates in males, middle-aged adults, urban-metro residents, and lower-income households.
The treatment gap for overall mental morbidity reached 84.5%, indicating that nearly 150 million individuals experience mental health conditions without adequate care.

Cite This Study

Sukumar et al. (2020) studied this question.

synapsesocial.com/papers/698ca8422ab66dd7aac6ed55 https://doi.org/10.1177/0020764020907941

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