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

机译:社区精神病学的创新,以供进心理健康服务:Sawangi模型

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摘要

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.
机译:目标能否本科医学生(UGS)采用一个村庄的模型,以确定成功采用的村精神病患者?在第一年的材料和方法制服团体采取村庄,每个学生采用在农村七个家庭。访问期间,他们免疫后,烟草和酒精滥用,营养,卫生和卫生的样子。它们有助于识别所采用的家庭的健康需求(包括心理健康)。包含15个问题,涵盖大多数精神疾病的印度精神病学调查计划使用由制服团体,以确定在社区精神疾病。鉴定为患有精神病的人被称为顾问精神科医生的诊断和管理进一步确认。统计分析计算的基础上在农村社区精神疾病患病率预计精神病患者的比例,并与实际的患者人数与UGS的鉴定精神病相比。真阳性,假阳性,和真正的预测值而得。结果UMRI村,制服团体能够确定269人作为真阳性和25个假阳性,而在Kurzadi村,制服团体能够确定221人作为真阳性和35误报。这表明制服团体能够识别具有良好的阳性预测值精神疾病。在UMRI村,出了294名精神病患者,它给的91.49%和8.5%,假阳性价值的真实正值,而在Kurzadi村,出了256名精神病患者,它给了86.3的真实正值%和13.67%,假阳性值。结论精神科医生在印度的比例为0.30每10万人口左右,由于其精神科医生不能单独覆盖印度的心理健康问题。因此,我们需要一个不同的模型,涵盖印度,这是本文所讨论的精神疾病。

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