Screening for major depression disorders in medical inpatients with the Beck Depression Inventory for Primary Care.

来自 BMJ

阅读量:

142

作者:

AT BeckD GuthRA SteerR Ball

展开

摘要:

To ascertain how effective the Beck Depression Inventory for Primary Care (BDI-PC) was for differentiating medical inpatients who were and were not diagnosed with DSM-IV major depression disorders (MDD), this 7-item self-report instrument composed of cognitive and affective symptoms was administered to 50 medical inpatients along with the Depression subscale (HDS) from the Hospital Anxiety and Depression Scale (Zigmond & Snaith, 1983, Acta Psychiatrica Scandinavica, 67, 361-370). The Mood Module from the Primary Care Evaluation of Mental Disorders (Spitzer et al., 1995, Prime-MD instruction manual updated for DSM-IV) was used to diagnose MDD. The internal consistency of the BDI-PC was high (alpha = 0.86), and it was moderately correlated with the HDS (r = 0.62, P < 0.001). The BDI-PC was not significantly correlated with sex, age, ethnicity, or type of medical diagnosis. A BDI-PC cut-off score of 4 and above yielded the maximum clinical efficiency with both 82% sensitivity and specificity rates. The clinical utility of the BDI-PC for identifying medical inpatients who should be evaluated for MDD is discussed.

展开

DOI:

10.1016/S0005-7967(97)00025-9

被引量:

2127

年份:

1997

通过文献互助平台发起求助,成功后即可免费获取论文全文。

相似文献

参考文献

引证文献

辅助模式

0

引用

文献可以批量引用啦~
欢迎点我试用!

关于我们

百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。
了解更多>>

友情链接

百度云百度翻译

联系我们

合作与服务

期刊合作 图书馆合作 下载产品手册

©2025 Baidu 百度学术声明 使用百度前必读

引用