首页> 外文期刊>Journal of Neurosciences in Rural Practice >Innovation in Community Psychiatry for the Delivery of Mental Health Services: The Sawangi Model
【24h】

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

获取原文
           

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:目的可以通过一名村庄模型来识别村庄的村庄模型成功识别村庄模型吗?材料和方法UGS在第一年通过一个村庄,每个学生都在村里采用七个家庭。在访问期间,他们照顾免疫,烟草和酒精滥用,营养,卫生和卫生。他们帮助确定所采用的家庭的健康需求(包括心理健康)。 UGS使用涵盖大部分精神病疾病的印度精神病疗程调查计划,涵盖了大部分精神科疾病,以识别社区中的精神疾病。被鉴定为患有精神疾病的人被称为顾问精神科医生,以确认诊断和进一步的管理。基于农村社区精神疾病患病率的预期精神病患者百分比计算的统计分析与UGS确定的精神疾病患者的实际数量进行比较。得出了真正的阳性,假阳性和真正的预测值。结果在Umri Village中,UGS能够将269人识别为真正的阳性,而25人作为假阳性,而在Kurzadi村,UGs能够识别221人作为真正的阳性和35人作为假阳性。它表明UGs能够识别具有良好阳性预测价值的精神疾病。在Umri Village,在294名精神病患者中,它给出了真正的正价值91.49%,假阳性值为8.5%,而在Kurzadi Village中,出于256名精神病患者,它给出了真正的正价值86.3 %和假正值为13.67%。结论印度精神科医生的比例约为每10万人的0.30人口,因为仅由哪些精神科医生不能涵盖印度的心理健康问题。因此,我们需要一个不同的模型来涵盖印度的精神疾病,这在本文中讨论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号