首页> 美国卫生研究院文献>International Journal of Methods in Psychiatric Research >Clinical calibration of DSM‐IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH‐CIDI)
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Clinical calibration of DSM‐IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH‐CIDI)

机译:世界卫生组织(WHO)综合国际诊断访谈(WMH-CIDI)的世界心理健康(WMH)版本中DSM-IV诊断的临床校准

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摘要

An overview is presented of the rationale, design, and analysis plan for the WMH‐CIDI clinical calibration studies. As no clinical gold standard assessment is available for the DSM‐IV disorders assessed in the WMH‐CIDI, we adopted the goal of calibration rather than validation; that is, we asked whether WMH‐CIDI diagnoses are ‘consistent’ with diagnoses based on a state‐of‐the‐art clinical research diagnostic interview (SCID; Structured Clinical Interview for DSM‐IV) rather than whether they are ‘correct’. Consistency is evaluated both at the aggregate level (consistency of WMH‐CIDI and SCID prevalence estimates) and at the individual level (consistency of WMH‐CIDI and SCID diagnostic classifications). Although conventional statistics (sensitivity, specificity, Cohen's κ) are used to describe diagnostic consistency, an argument is made for considering the area under the receiver operator curve (AUC) to be a more useful general‐purpose measure of consistency. In addition, more detailed analyses are used to evaluate consistency on a substantive level. These analyses begin by estimating prediction equations in a clinical calibration subsample, with WMH‐CIDI symptom‐level data used to predict SCID diagnoses, and using the coefficients from these equations to assign predicted probabilities of SCID diagnoses to each respondent in the remainder of the sample. Substantive analyses then investigate whether estimates of prevalence and associations when based on WMH‐CIDI diagnoses are consistent with those based on predicted SCID diagnoses. Multiple imputation is used to adjust estimated standard errors for the imprecision introduced by SCID diagnoses being imputed under a model rather than measured directly. A brief illustration of this approach is presented in comparing the precision of SCID and predicted SCID estimates of prevalence and correlates under varying sample designs. Copyright © 2004 Whurr Publishers Ltd.
机译:概述了WMH-CIDI临床校准研究的原理,设计和分析计划。由于没有针对WMH-CIDI中评估的DSM-IV疾病的临床金标准评估,因此我们采用了校准而非验证的目标。也就是说,我们问WMH-CIDI诊断是否与基于最新临床研究诊断访谈(SCID; DSM-IV的结构化临床访谈)的诊断“一致”,而不是“正确”。在总体级别(WMH-CIDI和SCID患病率估计的一致性)和单个级别(WMH-CIDI和SCID诊断分类的一致性)都评估一致性。尽管使用常规统计数据(灵敏度,特异性,Cohenκ)来描述诊断一致性,但仍存在争论,认为将接收器操作员曲线(AUC)下的面积视为更有用的通用一致性度量。另外,更详细的分析用于评估实质性水平的一致性。这些分析首先通过估计临床校准子样本中的预测方程式,并使用WMH-CIDI症状水平数据来预测SCID诊断,然后使用这些方程式中的系数为样本中其余每个响应者分配SCID诊断的预测概率。然后,进行实质性分析,调查基于WMH-CIDI诊断的患病率和相关性估计是否与基于预测SCID诊断的患病率和相关性估计一致。对于由SCID诊断引入的不精确性,多重插补用于调整估计的标准误差,这些误差是在模型下估算的,而不是直接测量的。通过比较SCID的精确度和预测的SCID患病率估计值以及在不同样本设计下的相关性,可以对这种方法进行简要说明。版权所有©2004 Whurr Publishers Ltd.

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