Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis

病人健康调查表 医学 置信区间 荟萃分析 接收机工作特性 诊断优势比 优势比 重性抑郁障碍 萧条(经济学) 梅德林 诊断试验中的似然比 物理疗法 内科学 精神科 抑郁症状 心情 焦虑 法学 经济 宏观经济学 政治学
作者
Laura Manea,Simon Gilbody,Dean McMillan
出处
期刊:Canadian Medical Association Journal [Canadian Medical Association]
卷期号:184 (3): E191-E196 被引量:1364
标识
DOI:10.1503/cmaj.110829
摘要

Background:

The brief Patient Health Questionnaire (PHQ-9) is commonly used to screen for depression with 10 often recommended as the cut-off score. We summarized the psychometric properties of the PHQ-9 across a range of studies and cut-off scores to select the optimal cut-off for detecting depression.

Methods:

We searched Embase, MEDLINE and PsycINFO from 1999 to August 2010 for studies that reported the diagnostic accuracy of PHQ-9 to diagnose major depressive disorders. We calculated summary sensitivity, specificity, likelihood ratios and diagnostic odds ratios for detecting major depressive disorder at different cut-off scores and in different settings. We used random-effects bivariate meta-analysis at cutoff points between 7 and 15 to produce summary receiver operating characteristic curves.

Results:

We identified 18 validation studies (n = 7180) conducted in various clinical settings. Eleven studies provided details about the diagnostic properties of the questionnaire at more than one cut-off score (including 10), four studies reported a cut-off score of 10, and three studies reported cut-off scores other than 10. The pooled specificity results ranged from 0.73 (95% confidence interval [CI] 0.63–0.82) for a cut-off score of 7 to 0.96 (95% CI 0.94–0.97) for a cut-off score of 15. There was major variability in sensitivity for cut-off scores between 7 and 15. There were no substantial differences in the pooled sensitivity and specificity for a range of cut-off scores (8–11).

Interpretation:

The PHQ-9 was found to have acceptable diagnostic properties for detecting major depressive disorder for cut-off scores between 8 and 11. Authors of future validation studies should consistently report the outcomes for different cut-off scores.

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