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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2020
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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 |
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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 |
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