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迈向一份用于评估抑郁核心症状的极简短自评量表（VQIDS-SR）。

Toward a very brief self-report to assess the core symptoms of depression (VQIDS-SR ).

作者信息

De La Garza N, John Rush A, Grannemann B D, Trivedi M H

机构信息

Center for Depression Research and Clinical Care, UT Southwestern Medical Center, Dallas, TX, USA.

Duke-National University of Singapore, Singapore.

出版信息

Acta Psychiatr Scand. 2017 Jun;135(6):548-553. doi: 10.1111/acps.12720. Epub 2017 Mar 17.

DOI:10.1111/acps.12720
PMID:28316080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6130195/
Abstract

OBJECTIVE

To develop a short, 5-item measure of the core symptoms of depression based on the 16-item Quick Inventory of Depressive Symptomatology - Self-Report (QIDS-SR ) and to evaluate psychometric properties of this new measure (Very Quick Inventory of Depressive Symptomatology - Self-Report: VQIDS-SR ).

METHOD

Using data from a convenience sample of the Combining Medications to Enhance Depression Outcomes (CO-MED) trial, we evaluated the psychometric properties of the VQIDS-SR , its sensitivity to change, and its comparability to the QIDS-SR and clinician-rated scales (QIDS-C and VQIDS-C ).

RESULTS

The VQIDS-SR has a single-factor structure with an acceptable internal consistency (Cronbach's alpha: 0.67-0.81). The VQIDS-SR was as sensitive to change as its parent scale, then QIDS-SR and, detected change at an earlier time frame. Additionally, the VQIDS-SR was comparable to the QIDS-SR , QIDS-C , and VQIDS-C .

CONCLUSION

The VQIDS-SR can effectively evaluate the core symptoms of depression during the course of treatment.

摘要

目的

基于16项抑郁症状快速自评量表（QIDS-SR）开发一个简短的、包含5个条目的抑郁核心症状测量工具，并评估这个新测量工具（极短抑郁症状自评量表：VQIDS-SR）的心理测量学特性。

方法

利用联合药物治疗改善抑郁结局（CO-MED）试验便利样本的数据，我们评估了VQIDS-SR的心理测量学特性、其对变化的敏感性以及它与QIDS-SR和临床医生评定量表（QIDS-C和VQIDS-C）的可比性。

结果

VQIDS-SR具有单因素结构，内部一致性可接受（克朗巴哈系数：0.67 - 0.81）。VQIDS-SR对变化的敏感性与其母量表QIDS-SR相同，且能在更早的时间框架内检测到变化。此外，VQIDS-SR与QIDS-SR、QIDS-C和VQIDS-C具有可比性。

结论

VQIDS-SR能够在治疗过程中有效评估抑郁的核心症状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e6b/6130195/f1b3264c7bd9/nihms916694f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e6b/6130195/f1b3264c7bd9/nihms916694f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e6b/6130195/f1b3264c7bd9/nihms916694f1.jpg

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