Assigning Clinical Significance and Symptom Severity Using the Zung Scales: Levels of Misclassification Arising from Confusion between Index and Raw Scores.
Assigning Clinical Significance and Symptom Severity Using the Zung Scales: Levels of Misclassification Arising from Confusion between Index and Raw Scores.
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DOI：
10.1155/2018/9250972
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发表时间：
2018
影响因子：
--
通讯作者：
Scott N
中科院分区：
文献类型：
--
作者：
Dunstan DA;Scott N
Zung抑郁自评量表（SDS）和焦虑自评量表（SAS）是临床研究中常用的两个常模参考量表，用于识别抑郁和焦虑的存在。不幸的是，一些研究人员在分配临床意义和症状严重程度评级时错误地将指数评分标准应用于原始评分。本研究探讨了这一问题的严重程度。 在2010年至2015年的六年期间发表的102篇论文被用来建立两个方便样本，每个Zung量表有60种用法。 在使用截止评分的论文中（即，SDS为45/60，SAS为40/60），高达51%的SDS和45%的SAS论文涉及对原始分数不正确应用指数分数标准。在使用的严重程度范围和临界评分中也观察到了增加。 大部分涉及Zung SDS和SAS量表的出版物使用了不正确的标准来分类抑郁和焦虑的临床显著症状。最常见的错误是将指数评分标准应用于原始评分，这会导致显著性的截断点大幅提高。鉴于这些比额表仍在使用，必须强调和解决这些不一致之处。
The Zung Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) are two norm-referenced scales commonly used to identify the presence of depression and anxiety in clinical research. Unfortunately, several researchers have mistakenly applied index score criteria to raw scores when assigning clinical significance and symptom severity ratings. This study examined the extent of this problem. 102 papers published over the six-year period from 2010 to 2015 were used to establish two convenience samples of 60 usages of each Zung scale. In those papers where cut-off scores were used (i.e., 45/60 for SDS and 40/60 for SAS), up to 51% of SDS and 45% of SAS papers involved the incorrect application of index score criteria to raw scores. Inconsistencies were also noted in the severity ranges and cut-off scores used. A large percentage of publications involving the Zung SDS and SAS scales are using incorrect criteria for the classification of clinically significant symptoms of depression and anxiety. The most common error—applying index score criteria to raw scores—produces a substantial elevation of the cut-off points for significance. Given the continuing usage of these scales, it is important that these inconsistencies be highlighted and resolved.