five

Results of Diagnostic Accuracy of Depression Screening Tools.

收藏
Figshare2015-12-02 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/_Results_of_Diagnostic_Accuracy_of_Depression_Screening_Tools_/383844
下载链接
链接失效反馈
官方服务:
资源简介:
Abbreviations: BC-VI = Breast Cancer - Vulnerability Index; BDI-SF = Beck Depression Inventory Short Form; BZSDS = Brief Zung Self Rating Depression Scale; CIDI = Composite International Diagnostic Interview; CIS = Clinical Interview Schedule; DT = Distress Thermometer; EPDS = Edinburgh Postnatal Depression Scale; GHQ = General Health Questionnaire; HADS = Hospital Anxiety and Depression Scale total score; HADS-A = Anxiety subscale of Hospital Anxiety and Depression Scale; HADS-D = Depression subscale of Hospital Anxiety and Depression Scale; HSCL-25 = 25-item version of the Hopkins Symptom Checklist; MILP = Monash Interview for Liaison Psychiatry; MINI = Mini-International Neuropsychiatric Interview; NA = Not applicable; PCM = Patient Care Monitor; PSE = Present State Examination; PSYCH-6 = 6-item subscale measuring symptoms of depression and anxiety from the Somatic and Psychological Health Report (SPHERE); SADS: Schedule for Affective Disorders and Schizophrenia; SCAN = Schedule for Clinical Assessment in Neuropsychiatry; SCID = Structured Clinical Interview for DSM; ZSDS = Zung Self Rating Depression Scale.aItems were embedded in the diagnostic interview, and at least 1 of 2 was required for a diagnosis of major depression.bStudy reported diagnostic accuracy data for all 113 women in the study (first line), and also after excluding women with MDD already treated with antidepressants and women with GAD already treated with antidepressants or anxiolytics (N = 103; second line).cA cutoff of 13 or greater on the EPDS is standard, although the authors did not indicate this explicitly.dAuthors used several different cutoffs from the literature and tested to determine optimal cutoff in their sample.
创建时间:
2015-12-02
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作