The Computer-Vision Symptom Scale (CVSS17): Development and Initial Validation
The Computer-Vision Symptom Scale (CVSS17): Development and Initial Validation
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DOI：
10.1167/iovs.13-13818
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发表时间：
2014-07-01
影响因子：
4.4
通讯作者：
Gonzalez, Enrique
中科院分区：
文献类型：
--
作者：
Gonzalez-Perez, Mariano;Susi, Rosario;Gonzalez, Enrique
目的.制定一份调查问卷（西班牙语），以衡量计算机相关的视觉和眼部症状（CRVOS）。通过咨询文献、临床医生和视频显示终端（VDT）工作人员创建了一个试点问卷。使用Rasch模型和常规统计对完成问卷的636名受试者的回答进行评估，以生成一个新的量表，命名为计算机视觉症状量表（CVSS 17）。有效性和可靠性由Rasch拟合统计、主成分分析（PCA）、人分离、差异项目功能（DIF）和项目-人目标确定。为了评估结构效度，CVSS 17与基于Rasch的视觉不适量表（VDS）在163名VDT工人中相关，该组完成CVSS 17两次，以评估重测信度（双向单测量组内相关系数[ICC]及其95%置信区间，以及重复性系数[COR]）。CVSS 17包含17个项目，探索15种不同的症状。这些项目表现出良好的可靠性和内部一致性（均方不适合和服装0.88-1.17，第一个残留PCA成分的特征值1.37，人分离2.85，没有DIF）。Pearson相关系数为0.60（P < 0.001）。重测信度的组内相关系数为0.849（95%可信区间[CI]，0.800-0.887），COR为8.14。基于Rasch的线性量表CVSS 17成为量化计算机工作者CRVOS的有用工具。
PURPOSE. To develop a questionnaire (in Spanish) to measure computer-related visual and ocular symptoms (CRVOS).METHODS. A pilot questionnaire was created by consulting the literature, clinicians, and video display terminal (VDT) workers. The replies of 636 subjects completing the questionnaire were assessed using the Rasch model and conventional statistics to generate a new scale, designated the Computer-Vision Symptom Scale (CVSS17). Validity and reliability were determined by Rasch fit statistics, principal components analysis (PCA), person separation, differential item functioning (DIF), and item-person targeting. To assess construct validity, the CVSS17 was correlated with a Rasch-based visual discomfort scale (VDS) in 163 VDT workers, this group completed the CVSS17 twice in order to assess test-retest reliability (two-way single-measure intraclass correlation coefficient [ICC] and their 95% confidence intervals, and the coefficient of repeatability [COR]).RESULTS. The CVSS17 contains 17 items exploring 15 different symptoms. These items showed good reliability and internal consistency (mean square infit and outfit 0.88-1.17, eigenvalue for the first residual PCA component 1.37, person separation 2.85, and no DIF). Pearson's correlation with VDS scores was 0.60 (P < 0.001). Intraclass correlation coefficient for test-retest reliability was 0.849 (95% confidence interval [CI], 0.800-0.887), and COR was 8.14.CONCLUSIONS. The Rasch-based linear-scale CVSS17 emerged as a useful tool to quantify CRVOS in computer workers.