EPIDEMIOLOGIC CATCHMENT AREA DUKE UNIVERSITY

这项研究的目的是继续参与 杜克大学医学院流行病学集水区（ECA）项目 中心 ECA计划是一个多地点的研究计划，由 国家精神卫生研究所。 杜克大学参加了 自1981年1月1日以来，非洲经委会方案。 计划的研究分为四个部分 件. 第一个组成部分，数据分析，涉及到深入的 分析在三个点收集的研究中心内和跨研究中心数据， 在第一阶段的ECA计划。 杜克有线索 负责躯体化障碍的跨站点分析， 卫生服务利用的多变量模型，城市/农村 比较。 分析的网站内主题包括压力，社会 支持和精神障碍;将应答者数据与医疗 记录数据;经前综合征;精神药物使用;数学 疾病分类学和疾病分类模型;统计技术 用于估计患病率和发病率。 第二部分，老年人 随访研究，将在三个时间点收集数据， 60岁及以上的受访者，以确定心理过程， 在晚年的疾病，检查精神疾病的发病在晚年 生活，并监测随着时间的推移认知下降。 所有死亡率随访 受访者将重点关注精神疾病作为死亡风险因素。 第三个组成部分将收集关于健康特征的数据， 服务交付系统。 这些数据将与受访者数据合并， 检查系统对使用水平的影响，未满足需求的数量，以及 寻求外界的帮助。 最后一个部分是测试-再测试 诊断性访谈量表（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).