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一个关于自我报告诊断筛查量表如何提高抗抑郁药疗效试验内部效度的示例。

An illustration of how a self-report diagnostic screening scale could improve the internal validity of antidepressant efficacy trials.

作者信息

Zimmerman Mark, Chelminski Iwona, Posternak Michael

机构信息

Department of Psychiatry and Human Behavior, Brown University School of Medicine, Rhode Island Hospital, Providence, RI, USA.

出版信息

J Affect Disord. 2004 May;80(1):79-85. doi: 10.1016/S0165-0327(03)00050-8.

Abstract

BACKGROUND

During the past 20 years semi-structured diagnostic interviews have been the standard for diagnostic evaluations in research relying on reliable and valid psychiatric assessment and diagnosis; however, only a minority of antidepressant efficacy trials (AETs) employ these interviews. This might be important insofar as several studies have found that clinicians conducting unstructured clinical interviews underrecognize diagnostic comorbidity. Because of the financial incentives to recruit patients into AETs quickly, there is little incentive to vigorously determine the presence of comorbid conditions that should result in exclusion from the trial. In the present report we demonstrate how a self-report diagnostic screening scale could be used to identify systematic differences in diagnostic practice across settings, and how such a scale could be used to compare samples of patients who pass screening evaluations and are accepted into an AET.

METHODS

Depressed patients completed the Psychiatric Diagnostic Screening Questionnaire (PDSQ), and were evaluated with either an unstructured clinical interview or with the Structured Clinical Interview for DSM-IV (SCID).

RESULTS

The two samples were clinically comparable based on their scores on the self-administered PDSQ. Consistent with the greater thoroughness of the SCID, compared to unstructured diagnostic evaluations, more patients administered the SCID were diagnosed with comorbid conditions. After excluding patients with disorders that might be the basis for exclusion from an AET, the two samples then differed in their scores on the PDSQ. That is, more patients in the sample evaluated by an unstructured interview had 'occult' pathology than patients evaluated with the SCID.

CONCLUSION

These findings demonstrate how systematic differences in diagnostic practice might be detected across sites when conducting AETs.

LIMITATIONS

The study was conducted with patients in a single outpatient clinical practice rather than participants of a multi-site trial.

摘要

背景

在过去20年里,半结构化诊断访谈一直是研究中诊断评估的标准,依赖于可靠且有效的精神科评估和诊断;然而,只有少数抗抑郁药疗效试验(AETs)采用这些访谈。这可能很重要,因为多项研究发现,进行非结构化临床访谈的临床医生对诊断合并症认识不足。由于存在迅速招募患者参加AETs的经济激励,几乎没有动力去积极确定那些应导致患者被排除在试验之外的合并症的存在情况。在本报告中,我们展示了如何使用一份自我报告诊断筛查量表来识别不同环境下诊断实践中的系统差异,以及如何使用这样一个量表来比较通过筛查评估并被纳入AET的患者样本。

方法

抑郁症患者完成了《精神科诊断筛查问卷》(PDSQ),并通过非结构化临床访谈或《精神障碍诊断与统计手册》第四版(DSM-IV)结构化临床访谈(SCID)进行评估。

结果

基于他们在自我管理的PDSQ上的得分,这两个样本在临床上具有可比性。与SCID更全面的评估一致,与非结构化诊断评估相比,接受SCID评估的患者中被诊断出合并症的更多。在排除可能成为被排除在AET之外依据的疾病患者后,这两个样本在PDSQ上的得分出现了差异。也就是说,与接受SCID评估的患者相比,接受非结构化访谈评估的样本中有更多患者存在“隐匿”病理情况。

结论

这些发现展示了在进行AETs时如何在不同地点检测到诊断实践中的系统差异。

局限性

该研究是在单一门诊临床实践中的患者中进行的,而非多中心试验的参与者。

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