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

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...

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Autores principales: Pradeep, Banandur S., Gururaj, Gopalkrishna, Varghese, Mathew, Benegal, Vivek, Rao, Girish N., Sukumar, Gautham M., Amudhan, Senthil, Arvind, Banavaram, Girimaji, Satish, K., Thennarasu, P., Marimuthu, Vijayasagar, Kommu John, Bhaskarapillai, Binukumar, Thirthalli, Jagadisha, Loganathan, Santosh, Kumar, Naveen, Sudhir, Paulomi, Sathyanarayana, Veena A., Pathak, Kangkan, Singh, Lokesh Kumar, Mehta, Ritambhara Y., Ram, Daya, T. M., Shibukumar, Kokane, Arun, R. K., Lenin Singh, B. S., Chavan, Sharma, Pradeep, C., Ramasubramanian, P. K., Dalal, Saha, Pradeep Kumar, Deuri, Sonia Pereira, Giri, Anjan Kumar, Kavishvar, Abhay Bhaskar, Sinha, Vinod K., Thavody, Jayakrishnan, Chatterji, Rajni, Akoijam, Brogen Singh, Das, Subhash, Kashyap, Amita, R. V., Sathish, M., Selvi, S. K., Singh, Agarwal, Vivek, Misra, Raghunath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201882/
https://www.ncbi.nlm.nih.gov/pubmed/30359382
http://dx.doi.org/10.1371/journal.pone.0205096
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author Pradeep, Banandur S.
Gururaj, Gopalkrishna
Varghese, Mathew
Benegal, Vivek
Rao, Girish N.
Sukumar, Gautham M.
Amudhan, Senthil
Arvind, Banavaram
Girimaji, Satish
K., Thennarasu
P., Marimuthu
Vijayasagar, Kommu John
Bhaskarapillai, Binukumar
Thirthalli, Jagadisha
Loganathan, Santosh
Kumar, Naveen
Sudhir, Paulomi
Sathyanarayana, Veena A.
Pathak, Kangkan
Singh, Lokesh Kumar
Mehta, Ritambhara Y.
Ram, Daya
T. M., Shibukumar
Kokane, Arun
R. K., Lenin Singh
B. S., Chavan
Sharma, Pradeep
C., Ramasubramanian
P. K., Dalal
Saha, Pradeep Kumar
Deuri, Sonia Pereira
Giri, Anjan Kumar
Kavishvar, Abhay Bhaskar
Sinha, Vinod K.
Thavody, Jayakrishnan
Chatterji, Rajni
Akoijam, Brogen Singh
Das, Subhash
Kashyap, Amita
R. V., Sathish
M., Selvi
S. K., Singh
Agarwal, Vivek
Misra, Raghunath
author_facet Pradeep, Banandur S.
Gururaj, Gopalkrishna
Varghese, Mathew
Benegal, Vivek
Rao, Girish N.
Sukumar, Gautham M.
Amudhan, Senthil
Arvind, Banavaram
Girimaji, Satish
K., Thennarasu
P., Marimuthu
Vijayasagar, Kommu John
Bhaskarapillai, Binukumar
Thirthalli, Jagadisha
Loganathan, Santosh
Kumar, Naveen
Sudhir, Paulomi
Sathyanarayana, Veena A.
Pathak, Kangkan
Singh, Lokesh Kumar
Mehta, Ritambhara Y.
Ram, Daya
T. M., Shibukumar
Kokane, Arun
R. K., Lenin Singh
B. S., Chavan
Sharma, Pradeep
C., Ramasubramanian
P. K., Dalal
Saha, Pradeep Kumar
Deuri, Sonia Pereira
Giri, Anjan Kumar
Kavishvar, Abhay Bhaskar
Sinha, Vinod K.
Thavody, Jayakrishnan
Chatterji, Rajni
Akoijam, Brogen Singh
Das, Subhash
Kashyap, Amita
R. V., Sathish
M., Selvi
S. K., Singh
Agarwal, Vivek
Misra, Raghunath
author_sort Pradeep, Banandur S.
collection PubMed
description 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.
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spelling pubmed-62018822018-11-19 National Mental Health Survey of India, 2016 - Rationale, design and methods Pradeep, Banandur S. Gururaj, Gopalkrishna Varghese, Mathew Benegal, Vivek Rao, Girish N. Sukumar, Gautham M. Amudhan, Senthil Arvind, Banavaram Girimaji, Satish K., Thennarasu P., Marimuthu Vijayasagar, Kommu John Bhaskarapillai, Binukumar Thirthalli, Jagadisha Loganathan, Santosh Kumar, Naveen Sudhir, Paulomi Sathyanarayana, Veena A. Pathak, Kangkan Singh, Lokesh Kumar Mehta, Ritambhara Y. Ram, Daya T. M., Shibukumar Kokane, Arun R. K., Lenin Singh B. S., Chavan Sharma, Pradeep C., Ramasubramanian P. K., Dalal Saha, Pradeep Kumar Deuri, Sonia Pereira Giri, Anjan Kumar Kavishvar, Abhay Bhaskar Sinha, Vinod K. Thavody, Jayakrishnan Chatterji, Rajni Akoijam, Brogen Singh Das, Subhash Kashyap, Amita R. V., Sathish M., Selvi S. K., Singh Agarwal, Vivek Misra, Raghunath PLoS One Research Article 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. Public Library of Science 2018-10-25 /pmc/articles/PMC6201882/ /pubmed/30359382 http://dx.doi.org/10.1371/journal.pone.0205096 Text en © 2018 Pradeep et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pradeep, Banandur S.
Gururaj, Gopalkrishna
Varghese, Mathew
Benegal, Vivek
Rao, Girish N.
Sukumar, Gautham M.
Amudhan, Senthil
Arvind, Banavaram
Girimaji, Satish
K., Thennarasu
P., Marimuthu
Vijayasagar, Kommu John
Bhaskarapillai, Binukumar
Thirthalli, Jagadisha
Loganathan, Santosh
Kumar, Naveen
Sudhir, Paulomi
Sathyanarayana, Veena A.
Pathak, Kangkan
Singh, Lokesh Kumar
Mehta, Ritambhara Y.
Ram, Daya
T. M., Shibukumar
Kokane, Arun
R. K., Lenin Singh
B. S., Chavan
Sharma, Pradeep
C., Ramasubramanian
P. K., Dalal
Saha, Pradeep Kumar
Deuri, Sonia Pereira
Giri, Anjan Kumar
Kavishvar, Abhay Bhaskar
Sinha, Vinod K.
Thavody, Jayakrishnan
Chatterji, Rajni
Akoijam, Brogen Singh
Das, Subhash
Kashyap, Amita
R. V., Sathish
M., Selvi
S. K., Singh
Agarwal, Vivek
Misra, Raghunath
National Mental Health Survey of India, 2016 - Rationale, design and methods
title National Mental Health Survey of India, 2016 - Rationale, design and methods
title_full National Mental Health Survey of India, 2016 - Rationale, design and methods
title_fullStr National Mental Health Survey of India, 2016 - Rationale, design and methods
title_full_unstemmed National Mental Health Survey of India, 2016 - Rationale, design and methods
title_short National Mental Health Survey of India, 2016 - Rationale, design and methods
title_sort national mental health survey of india, 2016 - rationale, design and methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201882/
https://www.ncbi.nlm.nih.gov/pubmed/30359382
http://dx.doi.org/10.1371/journal.pone.0205096
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