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非精神科医生对抑郁症的识别——一项系统的文献综述和荟萃分析。

Recognition of depression by non-psychiatric physicians--a systematic literature review and meta-analysis.

作者信息

Cepoiu Monica, McCusker Jane, Cole Martin G, Sewitch Maida, Belzile Eric, Ciampi Antonio

机构信息

Department of Clinical Epidemiology and Community Studies, St. Mary's Hospital, Montreal, QC, Canada.

出版信息

J Gen Intern Med. 2008 Jan;23(1):25-36. doi: 10.1007/s11606-007-0428-5. Epub 2007 Oct 26.

Abstract

BACKGROUND

Depression, with up to 11.9% prevalence in the general population, is a common disorder strongly associated with increased morbidity. The accuracy of non-psychiatric physicians in recognizing depression may influence the outcome of the illness, as unrecognized patients are not offered treatment for depression.

OBJECTIVES

To describe and quantitatively summarize the existing data on recognition of depression by non-psychiatric physicians.

METHODS

We searched the following databases: MEDLINE (1966-2005), Psych INFO (1967-2005) and CINAHL (1982-2005). To summarize data presented in the papers reviewed, we calculated the Summary receiver operating characteristic (ROC) and the summary sensitivity, specificity and odds ratios (ORs) of recognition, and their 95% confidence intervals using the random effects model.

MEASUREMENTS AND MAIN RESULTS

The summary sensitivity, specificity, and OR of recognition using the random effects model were: 36.4% (95% CI: 27.9-44.8), 83.7% (95% CI: 77.5-90.0), and 4.0 (95% CI: 3.2-4.9), respectively. We also calculated the Summary ROC. We performed a metaregression analysis, which showed that the method of documentation of recognition, the age of the sample, and the date of study publication have significant effect on the summary sensitivity and the odds of recognition, in the univariate model. Only the method of documentation had a significant effect on summary sensitivity, when the age of the sample and the date of publication were added to the model.

CONCLUSION

The accuracy of depression recognition by non-psychiatrist physicians is low. Further research should focus on developing standardized methods of documenting non-psychiatric physicians' recognition of depression.

摘要

背景

抑郁症在普通人群中的患病率高达11.9%,是一种与发病率增加密切相关的常见疾病。非精神科医生识别抑郁症的准确性可能会影响疾病的转归,因为未被识别的患者无法接受抑郁症治疗。

目的

描述并定量总结非精神科医生识别抑郁症的现有数据。

方法

我们检索了以下数据库:MEDLINE(1966 - 2005年)、Psych INFO(1967 - 2005年)和CINAHL(1982 - 2005年)。为总结所审查论文中呈现的数据,我们使用随机效应模型计算了汇总接受者操作特征曲线(ROC)以及识别的汇总敏感性、特异性和比值比(OR)及其95%置信区间。

测量指标及主要结果

使用随机效应模型得出的识别汇总敏感性、特异性和OR分别为:36.4%(95%置信区间:27.9 - 44.8)、83.7%(95%置信区间:77.5 - 90.0)和4.0(95%置信区间:3.2 - 4.9)。我们还计算了汇总ROC。我们进行了Meta回归分析,结果显示在单变量模型中,识别记录方法、样本年龄和研究发表日期对汇总敏感性和识别几率有显著影响。当将样本年龄和发表日期纳入模型时,只有记录方法对汇总敏感性有显著影响。

结论

非精神科医生识别抑郁症的准确性较低。进一步的研究应侧重于开发记录非精神科医生对抑郁症识别情况的标准化方法。

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