首页> 外文OA文献 >The diagnostic accuracy of the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-8 (PHQ-8), and Patient Health Questionnaire-9 (PHQ-9) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.
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The diagnostic accuracy of the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-8 (PHQ-8), and Patient Health Questionnaire-9 (PHQ-9) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.

机译:患者健康问卷2(PHQ-2),患者健康问卷8(PHQ-8)和患者健康问卷9(PHQ-9)在检测重度抑郁中的诊断准确性:系统评价和个体化的方案患者数据荟萃分析。

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摘要

Background: Major depressive disorder (MDD) may be present in 10%–20% of patients in medical settings. Routinedepression screening is sometimes recommended to improve depression management. However, studies of thediagnostic accuracy of depression screening tools have typically used data-driven, exploratory methods to selectoptimal cutoffs. Often, these studies report results from a small range of cutoff points around whatever cutoff score ismost accurate in that given study. When published data are combined in meta-analyses, estimates of accuracy fordifferent cutoff points may be based on data from different studies, rather than data from all studies for each possiblecutoff point. As a result, traditional meta-analyses may generate exaggerated estimates of accuracy. Individual patientdata (IPD) meta-analyses can address this problem by synthesizing data from all studies for each cutoff score to obtaindiagnostic accuracy estimates. The nine-item Patient Health Questionnaire-9 (PHQ-9) and the shorter PHQ-2 and PHQ-8are commonly recommended for depression screening. Thus, the primary objectives of our IPD meta-analyses are todetermine the diagnostic accuracy of the PHQ-9, PHQ-8, and PHQ-2 to detect MDD among adults across all potentiallyrelevant cutoff scores. Secondary analyses involve assessing accuracy accounting for patient factors that may influenceaccuracy (age, sex, medical comorbidity). [...]
机译:背景:在医疗机构中,有10%至20%的患者可能患有重度抑郁症(MDD)。有时建议进行常规抑郁筛查,以改善抑郁症的管理。但是,对抑郁症筛查工具的诊断准确性的研究通常使用数据驱动的探索性方法来选择最佳阈值。通常,这些研究报告的结果是在该给定研究中,最准确的分界点周围只有一小部分分界点。如果将发表的数据合并到荟萃分析中,则不同临界点的准确性估计值可能基于来自不同研究的数据,而不是基于来自所有研究的每个可能临界点的数据。结果,传统的荟萃分析可能会产生准确性的夸大估计。单独的患者数据(IPD)荟萃分析可以通过综合所有研究的每个临界值的数据来获得诊断准确性评估,从而解决该问题。通常建议使用九项患者健康问卷9(PHQ-9)以及较短的PHQ-2和PHQ-8进行抑郁症筛查。因此,我们的IPD荟萃分析的主要目标是确定PHQ-9,PHQ-8和PHQ-2的诊断准确性,以检测所有可能相关的临界值的成年人中的MDD。次要分析涉及评估可能影响准确性(年龄,性别,医疗合并症)的患者因素的准确性。 [...]

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    Thombs, Brett D.;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 eng
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