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

Author

Listed:
  • Melur Sukumar Gautham
  • Gopalkrishna Gururaj
  • Mathew Varghese
  • Vivek Benegal
  • Girish N Rao
  • Arun Kokane
  • Bir Singh Chavan
  • Pronob Kumar Dalal
  • Daya Ram
  • Kangkan Pathak
  • Raj Kumar Lenin Singh
  • Lokesh Kumar Singh
  • Pradeep Sharma
  • Pradeep Kumar Saha
  • Chellamuthu Ramasubramanian
  • Ritambhara Yeshwant Mehta
  • Theerthankara Meethal Shibukumar

Abstract

Background: Recognizing the need for good quality, scientific and reliable information for strengthening mental health policies and programmes, the National Mental Health Survey (NMHS) of India was implemented by National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, in the year 2015–2016. Aim: To estimate the prevalence, socio-demographic correlates and treatment gap of mental morbidity in a representative population of India. Methods: NMHS was conducted across 12 Indian states where trained field investigators completed 34,802 interviews using tablet-assisted personal interviews. Eligible study subjects (18+ years) in households were selected by a multi-stage, stratified, random cluster sampling technique. Mental morbidity was assessed using MINI 6. Three-tier data monitoring system was adopted for quality assurance. Weighted and specific prevalence estimates were derived (current and lifetime) for different mental disorders. Mental morbidity was defined as those disorders as per the International Statistical Classification of Diseases , Tenth Revision Diagnostic Criteria for Research (ICD-10 DCR). Multivariate logistic regression was conducted to examine risk for mental morbidity by different socio-demographic factors. Survey was approved by central and state-level institutional ethical committees. Results: The weighted lifetime prevalence of ‘any mental morbidity’ was estimated at 13.67% (95% confidence interval (CI) = 13.61, 13.73) and current prevalence was 10.56% (95% CI = 10.51, 10.61). Mental and behavioural problems due to psychoactive substance use (F10–F19; 22.44%), mood disorders (F30–F39; 5.61%) and neurotic and stress-related disorders (F40–F48; 3.70%) were the most commonly prevalent mental morbidity in India. The overall prevalence was estimated to be higher among males, middle-aged individuals, in urban-metros, among less educated and in households with lower income. Treatment gap for overall mental morbidity was 84.5%. Conclusion: NMHS is the largest reported survey of mental morbidity in India. Survey estimated that nearly 150 million individuals suffer from one or the other mental morbidity in India. This information is to be used for planning, delivery and evaluating mental health programming in the country.

Suggested Citation

  • Melur Sukumar Gautham & Gopalkrishna Gururaj & Mathew Varghese & Vivek Benegal & Girish N Rao & Arun Kokane & Bir Singh Chavan & Pronob Kumar Dalal & Daya Ram & Kangkan Pathak & Raj Kumar Lenin Singh , 2020. "The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity," International Journal of Social Psychiatry, , vol. 66(4), pages 361-372, June.
  • Handle: RePEc:sae:socpsy:v:66:y:2020:i:4:p:361-372
    DOI: 10.1177/0020764020907941
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    Cited by:

    1. Angelucci, Manuela & Bennett, Daniel M, 2021. "The Economic Impact of Depression Treatment in India," IZA Discussion Papers 14393, Institute of Labor Economics (IZA).

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