使用初级保健中的贝克抑郁量表筛查重度抑郁症。
Use of the Beck Depression Inventory for Primary Care to screen for major depression disorders.
作者信息
Steer R A, Cavalieri T A, Leonard D M, Beck A T
机构信息
University of Medicine and Dentistry of New Jersey, School of Osteopathic Medicine, Department of Psychiatry, Stratford, New Jersey 08084-1350, USA.
出版信息
Gen Hosp Psychiatry. 1999 Mar-Apr;21(2):106-11. doi: 10.1016/s0163-8343(98)00070-x.
To ascertain how effective the Beck Depression Inventory for Primary Care (BDI-PC) was in screening for DSM-IV major depression disorders (MDD) in outpatients who were scheduled for routine office visits with physicians specializing in internal medicine, the BDI-PC was administered to 60 male and 60 female outpatients. The internal consistency of the BDI-PC was high (alpha 0.85), and the Mood Module from the Primary Care Evaluation of Mental Disorders was used to diagnose MDD. The BDI-PC scores were not significantly correlated with sex, age, ethnicity, or total number of medical diagnoses. A BDI-PC cutoff score of 4 and above yielded 98% maximum clinical efficiency with 97% (95% CI 82%-99%) sensitivity and 99% (95% CI 94%-99%) specificity rates, respectively, for identifying patients with and without MDD. The BDI-PC is discussed as an effective case-finding instrument for screening primary care patients for MDD.
为确定初级保健贝克抑郁量表（BDI-PC）在筛查计划进行内科医生常规门诊的门诊患者中的DSM-IV重度抑郁症（MDD）时的有效性，对60名男性和60名女性门诊患者进行了BDI-PC测试。BDI-PC的内部一致性较高（α为0.85），并使用精神障碍初级保健评估中的情绪模块来诊断MDD。BDI-PC得分与性别、年龄、种族或医疗诊断总数无显著相关性。BDI-PC临界值为4及以上时，识别患有和未患有MDD患者的最大临床效率分别为98%，灵敏度为97%（95%CI 82%-99%），特异度为99%（95%CI 94%-99%）。BDI-PC被作为一种有效的病例发现工具，用于筛查初级保健患者中的MDD进行了讨论。
Zotero 插件