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Epidemiology of common mental disorders: Results from "National Mental Health Survey" of India, 2016.
Indian Journal of Psychiatry 2022 January
Background: Despite their higher prevalence, the Common Mental Disorders (CMDs) are under-recognized and under-treated resulting in huge disability. India, home to one-fifth of the global population, could offer insights for organizing better services for CMDs. However, the prevalence and resultant disability in the general population is unknown, and consequently, gaps in management or plan for services are enormous, by default overlooked.
Aim: Estimating the current prevalence, disability, socioeconomic impact, and treatment gap of CMDs in a nationally representative sample from India. We attempt to identify the missed opportunities and list priorities for planning.
Methodology: The National Mental Health Survey of India (2016) is a multisite nationwide household survey conducted across India using a uniform methodology. Overall, 39,532 adults were surveyed with a response rate of 88%. Diagnoses are based on the Mini International Neuropsychiatric Interview 6.0.0. CMDs for this analysis include depressive and anxiety disorders (generalized anxiety disorder, social phobia, agoraphobia, panic disorder, obsessive-compulsive disorder, and posttraumatic stress disorder).
Results: The weighted prevalence of current CMDs was 5·1% (95% CI: 5.06-5.13). Prevalence was highest in females, among the 40-59 years of age group, and in metros. Nearly 60% of them reported disabilities of varying severity. The treatment gap was 80·4%. On average, patients and their families spent ₹1500/month towards the treatment of CMDs.
Conclusions: This survey gives valuable insights regarding the disability and treatment gap due to CMDs and is imperative for reframing mental health policies and planning interventions. This study also suggests an international investigation to understand the difference in the prevalence of CMDs in developing versus developed countries.
Aim: Estimating the current prevalence, disability, socioeconomic impact, and treatment gap of CMDs in a nationally representative sample from India. We attempt to identify the missed opportunities and list priorities for planning.
Methodology: The National Mental Health Survey of India (2016) is a multisite nationwide household survey conducted across India using a uniform methodology. Overall, 39,532 adults were surveyed with a response rate of 88%. Diagnoses are based on the Mini International Neuropsychiatric Interview 6.0.0. CMDs for this analysis include depressive and anxiety disorders (generalized anxiety disorder, social phobia, agoraphobia, panic disorder, obsessive-compulsive disorder, and posttraumatic stress disorder).
Results: The weighted prevalence of current CMDs was 5·1% (95% CI: 5.06-5.13). Prevalence was highest in females, among the 40-59 years of age group, and in metros. Nearly 60% of them reported disabilities of varying severity. The treatment gap was 80·4%. On average, patients and their families spent ₹1500/month towards the treatment of CMDs.
Conclusions: This survey gives valuable insights regarding the disability and treatment gap due to CMDs and is imperative for reframing mental health policies and planning interventions. This study also suggests an international investigation to understand the difference in the prevalence of CMDs in developing versus developed countries.
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