EPIDEMIOLOGIC CATCHMENT AREA DUKE UNIVERSITY

这项研究的目标是继续参与 杜克大学医学院流行病学集水区(ECA)计划 中心。ECA计划是一个多站点研究计划，由 国家心理健康研究所。杜克大学参与了 自1981年1月1日起实施非洲经委会方案。计划中的研究分为四个部分 组件。第一个组成部分，数据分析，涉及深度 年内三点现场和跨点数据分析 在非洲经委会方案第一阶段的时间。杜克大学拥有领先地位 负责躯体化障碍的跨点分析， 卫生服务利用的多变量模型与城乡 比较。With-in网站的分析主题包括压力、社交 支持和精神障碍；将受访者数据与医疗相关 记录数据；经前综合征，精神药物使用；数理统计 病因学和疾病分类模型；以及统计技术 用于估计流行率和发病率。第二个组成部分，老年人 后续研究，将从以下三个时间点收集数据 60岁及以上的受访者，以确定心路历程 晚年患病，检查晚期精神障碍的发病情况 生活，并监测随着时间的推移认知能力下降。所有人的死亡随访 受访者将重点关注精神障碍作为死亡风险因素。 第三个组件将收集有关健康特征的数据 服务交付系统。数据将与答复者数据合并，以 检查系统对使用级别的影响、未满足的需求量，以及 在区域外寻求帮助。最后一个部分是重测 诊断性访谈计划(DIS)的信度研究

The objective of this research is the continued participation in the Epidemiologic Catchment Area (ECA) Program by Duke University Medical Center. The ECA Program is a multi-site research program sponsored by the National Institute of Mental Health. Duke University has participated in the ECA program since 1/1/1981. The planned research is divided into four components. The first component, data analysis, involves the indepth analysis of with-in site and cross-site data collected at three points in time during the first phase of the ECA program. Duke has lead-site responsibility for the cross-site analysis of somatization disorder, multivariate models of health service utilization, and urban/rural comparisons. The with-in site topics for analysis include stress, social support, and psychiatric disorder; relating respondent data to medical record data; premenstrual syndrome, psychotropic drug use; mathematical models of nosology and disease classification; and statistical techniques for estimating prevalence and incidence. The second component, the elderly followback study, will collect data at three points in time from respondents aged 60 and older in order to determine the course of mental illness in late life, examine the onset of psychiatric disorder in late life, and monitor cognitive decline over time. A mortality followup of all respondents will focus on psychiatric disorder as a mortality risk factor. The third component will collect data on the characteristics of the health services delivery system. The data will be merged with respondent data to examine system effects on levels of use, amount of unmet need, and help-seeking outside the area. The final component is a test-retest reliability study of the Diagnostic Interview Schedule (DIS).