Cargando…

Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model

Objectives  Can undergraduate medical students (UGs) adopt a village model to identify mentally ill persons in an adopted village successfully? Materials and Methods  UGs during their first year adopt a village, and each student adopts seven families in the villages. During the visit, they look afte...

Descripción completa

Detalles Bibliográficos
Autores principales: Behere, Prakash B., Nagdive, Amit B., Behere, Aniruddh P., Yadav, Richa, Fernandes, Rouchelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical and Scientific Publishers Pvt. Ltd. 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595769/
https://www.ncbi.nlm.nih.gov/pubmed/33144796
http://dx.doi.org/10.1055/s-0040-1715543
_version_ 1783601949292101632
author Behere, Prakash B.
Nagdive, Amit B.
Behere, Aniruddh P.
Yadav, Richa
Fernandes, Rouchelle
author_facet Behere, Prakash B.
Nagdive, Amit B.
Behere, Aniruddh P.
Yadav, Richa
Fernandes, Rouchelle
author_sort Behere, Prakash B.
collection PubMed
description Objectives  Can undergraduate medical students (UGs) adopt a village model to identify mentally ill persons in an adopted village successfully? Materials and Methods  UGs during their first year adopt a village, and each student adopts seven families in the villages. During the visit, they look after immunization, tobacco and alcohol abuse, nutrition, hygiene, and sanitation. They help in identifying the health needs (including mental health) of the adopted family. The Indian Psychiatric Survey Schedule containing 15 questions covering most of the psychiatric illnesses were used by UGs to identify mental illness in the community. Persons identified as suffering from mental illness were referred to a consultant psychiatrist for confirmation of diagnosis and further management. Statistical Analysis   Calculated by percentage of expected mentally ill persons based on prevalence of mental illness in the rural community and is compared with actual number of patients with mental illness identified by the UGs. True-positive, false-positive, and true predictive values were derived. Results  In Umri village, UGs were able to identify 269 persons as true positives and 25 as false positives, whereas in Kurzadi village, UGs were able to identify 221 persons as true positives and 35 as false positives. It suggests UGs were able to identify mental illnesses with a good positive predictive value. In Umri village, out of 294 mentally ill patients, it gave a true positive value of 91.49% and a false positive value of 8.5%, whereas in Kurzadi village, out of the 256 mentally ill patients, it gave a true positive value of 86.3% and a false positive value of 13.67%. Conclusion  The ratio of psychiatrists in India is approximately 0.30 per 100,000 population due to which psychiatrists alone cannot cover the mental health problems of India. Therefore, we need a different model to cover mental illness in India, which is discussed in this article.
format Online
Article
Text
id pubmed-7595769
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
record_format MEDLINE/PubMed
spelling pubmed-75957692020-11-02 Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model Behere, Prakash B. Nagdive, Amit B. Behere, Aniruddh P. Yadav, Richa Fernandes, Rouchelle J Neurosci Rural Pract Objectives  Can undergraduate medical students (UGs) adopt a village model to identify mentally ill persons in an adopted village successfully? Materials and Methods  UGs during their first year adopt a village, and each student adopts seven families in the villages. During the visit, they look after immunization, tobacco and alcohol abuse, nutrition, hygiene, and sanitation. They help in identifying the health needs (including mental health) of the adopted family. The Indian Psychiatric Survey Schedule containing 15 questions covering most of the psychiatric illnesses were used by UGs to identify mental illness in the community. Persons identified as suffering from mental illness were referred to a consultant psychiatrist for confirmation of diagnosis and further management. Statistical Analysis   Calculated by percentage of expected mentally ill persons based on prevalence of mental illness in the rural community and is compared with actual number of patients with mental illness identified by the UGs. True-positive, false-positive, and true predictive values were derived. Results  In Umri village, UGs were able to identify 269 persons as true positives and 25 as false positives, whereas in Kurzadi village, UGs were able to identify 221 persons as true positives and 35 as false positives. It suggests UGs were able to identify mental illnesses with a good positive predictive value. In Umri village, out of 294 mentally ill patients, it gave a true positive value of 91.49% and a false positive value of 8.5%, whereas in Kurzadi village, out of the 256 mentally ill patients, it gave a true positive value of 86.3% and a false positive value of 13.67%. Conclusion  The ratio of psychiatrists in India is approximately 0.30 per 100,000 population due to which psychiatrists alone cannot cover the mental health problems of India. Therefore, we need a different model to cover mental illness in India, which is discussed in this article. Thieme Medical and Scientific Publishers Pvt. Ltd. 2020-10 2020-08-31 /pmc/articles/PMC7595769/ /pubmed/33144796 http://dx.doi.org/10.1055/s-0040-1715543 Text en Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. https://creativecommons.org/licenses/by-nc-nd/4.0/. https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Behere, Prakash B.
Nagdive, Amit B.
Behere, Aniruddh P.
Yadav, Richa
Fernandes, Rouchelle
Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
title Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
title_full Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
title_fullStr Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
title_full_unstemmed Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
title_short Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
title_sort innovation in community psychiatry for the delivery of mental health services: the sawangi model
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595769/
https://www.ncbi.nlm.nih.gov/pubmed/33144796
http://dx.doi.org/10.1055/s-0040-1715543
work_keys_str_mv AT behereprakashb innovationincommunitypsychiatryforthedeliveryofmentalhealthservicesthesawangimodel
AT nagdiveamitb innovationincommunitypsychiatryforthedeliveryofmentalhealthservicesthesawangimodel
AT behereaniruddhp innovationincommunitypsychiatryforthedeliveryofmentalhealthservicesthesawangimodel
AT yadavricha innovationincommunitypsychiatryforthedeliveryofmentalhealthservicesthesawangimodel
AT fernandesrouchelle innovationincommunitypsychiatryforthedeliveryofmentalhealthservicesthesawangimodel