IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0205096.html
   My bibliography  Save this article

National Mental Health Survey of India, 2016 - Rationale, design and methods

Author

Listed:
  • Banandur S Pradeep
  • Gopalkrishna Gururaj
  • Mathew Varghese
  • Vivek Benegal
  • Girish N Rao
  • Gautham M Sukumar
  • Senthil Amudhan
  • Banavaram Arvind
  • Satish Girimaji
  • Thennarasu K.
  • Marimuthu P.
  • Kommu John Vijayasagar
  • Binukumar Bhaskarapillai
  • Jagadisha Thirthalli
  • Santosh Loganathan
  • Naveen Kumar
  • Paulomi Sudhir
  • Veena A Sathyanarayana
  • Kangkan Pathak
  • Lokesh Kumar Singh
  • Ritambhara Y Mehta
  • Daya Ram
  • Shibukumar T. M.
  • Arun Kokane
  • Lenin Singh R. K.
  • Chavan B. S.
  • Pradeep Sharma
  • Ramasubramanian C.
  • Dalal P. K.
  • Pradeep Kumar Saha
  • Sonia Pereira Deuri
  • Anjan Kumar Giri
  • Abhay Bhaskar Kavishvar
  • Vinod K Sinha
  • Jayakrishnan Thavody
  • Rajni Chatterji
  • Brogen Singh Akoijam
  • Subhash Das
  • Amita Kashyap
  • Sathish R. V.
  • Selvi M.
  • Singh S. K.
  • Vivek Agarwal
  • Raghunath Misra

Abstract

Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. Recognizing this necessity, the Ministry of Health and Family Welfare, Government of India, commissioned the National Mental Health Survey (NMHS) in the year 2014–15. The NMHS aimed to estimate the prevalence and burden of mental health disorders in India and identify current treatment gaps, existing patterns of health-care seeking, service utilization patterns, along with an understanding of the impact and disability due to these disorders. This paper describes the design, steps and the methodology adopted for phase 1 of the NMHS conducted in India. The NMHS phase 1 covered a representative population of 39,532 from 12 states across 6 regions of India, namely, the states of Punjab and Uttar Pradesh (North); Tamil Nadu and Kerala (South); Jharkhand and West Bengal (East); Rajasthan and Gujarat (West); Madhya Pradesh and Chhattisgarh (Central) and Assam and Manipur (North East). The NMHS of India (2015–16) is a unique representative survey which adopted a uniform and standardized methodology which sought to overcome limitations of previous surveys. It employed a multi-stage, stratified, random cluster sampling technique, with random selection of clusters based on Probability Proportionate to Size. It was expected that the findings from the NMHS 2015–16 would reveal the burden of mental disorders, the magnitude of the treatment gap, existing challenges and prevailing barriers in the mental-health delivery systems in the country at a single point in time. It is hoped that the results of NMHS will provide the evidence to strengthen and implement mental health policies and programs in the near future and provide the rationale to enhance investment in mental health care in India. It is also hoped that the NMHS will provide a framework for conducting similar population based surveys on mental health and other public health problems in low and middle-income countries.

Suggested Citation

  • Banandur S Pradeep & Gopalkrishna Gururaj & Mathew Varghese & Vivek Benegal & Girish N Rao & Gautham M Sukumar & Senthil Amudhan & Banavaram Arvind & Satish Girimaji & Thennarasu K. & Marimuthu P. & K, 2018. "National Mental Health Survey of India, 2016 - Rationale, design and methods," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-21, October.
  • Handle: RePEc:plo:pone00:0205096
    DOI: 10.1371/journal.pone.0205096
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205096
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0205096&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0205096?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0205096. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.