González-Pérez Mariano, Barrio Ana, Susi Rosario, Pérez-Garmendia Carlos, Antona Beatriz
Optometry and Vision Department, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain.
Clinical and Experimental Eye Research Group, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain.
Ophthalmic Physiol Opt. 2025 Sep;45(6):1326-1341. doi: 10.1111/opo.13540. Epub 2025 Jun 14.
The purpose of this study was to develop the Digital Eye Strain Computer Adaptive Questionnaire (DESCAQ), a quick, easy-to-administer test for measuring digital eye strain in 8- to 65-year-old Spanish- and English-speaking individuals.
The Spanish DESCAQ was cross-culturally adapted to English using standardised methods. The English version was administered online to digital device users from the United Kingdom and the United States, and the responses were analysed using the partial credit model. In a simulation study, calibration parameters were employed for the purpose of optimising the configuration of the item bank. Test-retest repeatability was calculated by administering DESCAQ twice within weeks. The first administration's results were compared with Computer Vision Symptom Scale (CVSS)17 scores to assess convergent validity.
Thirty-six items fitting the Rasch model were included in the final English version (38 items in the Spanish version). The reliability index was 0.95, sufficient to distinguish statistically up to eight levels of severity along the DES continuum. DESCAQ used 12.20 ± 2.15 items to complete the measure and provided the final score in 120.35 ± 69.18 s. The repeatability limit was 13.35 points and the two-way, single measure Intraclass Correlation Coefficient for test-retest reliability was 0.884 (95% CI, 0.852-0.910). Spearman's correlation between DESCAQ and CVSS17 scores was 0.87 (p < 0.001).
The DESCAQ is a quick, easy-to-interpret tool developed for researchers and clinicians. This web-based tool provides a valid, precise and reliable Digital Eye Strain score, categorised across eight severity levels.
本研究的目的是开发数字眼疲劳计算机自适应问卷（DESCAQ），这是一种快速、易于实施的测试，用于测量8至65岁讲西班牙语和英语的人群的数字眼疲劳。
使用标准化方法将西班牙语版DESCAQ跨文化改编为英语版。英语版问卷通过在线方式发放给来自英国和美国的数字设备用户，并使用部分计分模型对回答进行分析。在一项模拟研究中，采用校准参数来优化题库配置。通过在数周内两次实施DESCAQ来计算重测重复性。将首次施测的结果与计算机视觉症状量表（CVSS）17得分进行比较，以评估收敛效度。
最终的英语版问卷包含36个符合拉施模型的项目（西班牙语版为38个项目）。信度指数为0.95，足以在DES连续体上从统计学上区分高达八个严重程度级别。DESCAQ使用12.20±2.15个项目来完成测量，并在120.35±69.18秒内提供最终得分。重复性极限为13.35分，重测信度的双向单测量组内相关系数为0.884（95%CI，0.852 - 0.910）。DESCAQ与CVSS17得分之间的斯皮尔曼相关性为0.87（p < 0.001）。
DESCAQ是一种为研究人员和临床医生开发的快速、易于解读的工具。这个基于网络的工具提供了一个有效、精确且可靠的数字眼疲劳得分，并分为八个严重程度级别。
