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进行符合命名法的结构化精神科诊断访谈。

Making a structured psychiatric diagnostic interview faithful to the nomenclature.

作者信息

Robins Lee N, Cottler Linda B

机构信息

Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.

出版信息

Am J Epidemiol. 2004 Oct 15;160(8):808-13. doi: 10.1093/aje/kwh283.

DOI:10.1093/aje/kwh283
PMID:15466503
Abstract

Psychiatric diagnostic interviews to be used in epidemiologic studies by lay interviewers have, since the 1970s, attempted to operationalize existing psychiatric nomenclatures. How to maximize the chances that they do so successfully has not previously been spelled out. In this article, the authors discuss strategies for each of the seven steps involved in writing, updating, or modifying a diagnostic interview and its supporting materials: 1) writing questions that match the nomenclature's criteria, 2) checking that respondents will be willing and able to answer the questions, 3) choosing a format acceptable to interviewers that maximizes accurate answering and recording of answers, 4) constructing a data entry and cleaning program that highlights errors to be corrected, 5) creating a diagnostic scoring program that matches the nomenclature's algorithms, 6) developing an interviewer training program that maximizes reliability, and 7) computerizing the interview. For each step, the authors discuss how to identify errors, correct them, and validate the revisions. Although operationalization will never be perfect because of ambiguities in the nomenclature, specifying methods for minimizing divergence from the nomenclature is timely as users modify existing interviews and look forward to updating interviews based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and the International Classification of Diseases, Eleventh Revision.

摘要

自20世纪70年代以来,非专业访谈人员用于流行病学研究的精神病学诊断访谈一直试图将现有的精神病学术语付诸实践。此前,如何最大程度地提高其成功实现这一目标的几率尚未明确说明。在本文中,作者讨论了编写、更新或修改诊断访谈及其辅助材料所涉及的七个步骤中的每一步的策略:1)编写符合术语标准的问题;2)检查受访者是否愿意并能够回答这些问题;3)选择一种访谈人员可接受的格式,以最大程度地提高答案的准确回答率和记录率;4)构建一个数据录入和清理程序,突出显示需要纠正的错误;5)创建一个与术语算法相匹配的诊断评分程序;6)开发一个能最大程度提高信度的访谈人员培训程序;7)将访谈计算机化。对于每一步,作者都讨论了如何识别错误、纠正错误以及验证修订内容。尽管由于术语中的模糊性,实践操作永远不会完美,但随着用户修改现有的访谈并期待根据《精神疾病诊断与统计手册》第五版和《国际疾病分类》第十一版更新访谈,明确尽量减少与术语差异的方法是及时的。

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