Instituto Universitario de Oftalmobiología Aplicada (IOBA), Universidad de Valladolid, Valladolid, Spain.
Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Valladolid, Spain.
Clin Exp Optom. 2022 Apr;105(3):268-274. doi: 10.1080/08164622.2021.1896945. Epub 2021 Mar 18.
Questionnaires can provide unique information regarding the status of a condition from the perspective of the patient. Contact lens (CL) discomfort (CLD) is a condition subjectively reported by CL users; thus, updated and reliable questionnaires are needed.
The objective of this study was to design a new questionnaire for identifying CLD, based on the currently established CLD definition considered in the Tear Film and Ocular Surface CLD Workshop.
A survey to characterise CL wearers was created and administered. Some items of the survey were selected by a focus group and analysed using a Rasch model to develop a questionnaire to identify CLD. Unidimensionality was checked applying principal components analysis. To build a plausible CLD classification (symptomatic vs asymptomatic), an unsupervised cluster analysis was used. Gower's general similarity coefficient, the partitioning around medoids algorithm, and the silhouette width were calculated. The reliability of the questionnaire was assessed using the intraclass correlation coefficient and Cohen's kappa coefficient. A study was performed to compare this questionnaire with the Contact Lens Dry Eye Questionnaire (CLDEQ)-8.
The 31-item survey was completed by 1104 volunteers, and the posterior analysis resulted in a 9-item questionnaire, the Contact Lens Discomfort Index (CLDI). It showed a good fit with the model (mean square infit and outfit values range was 0.76-1.10), and good unidimensionality (eigenvalues ≤ 1.3). The CLDI score range was 0-18 and the cut-off score for identifying CLD was 8. The intraclass correlation coefficient was 0.88 (95% confidence interval, 0.75-0.94), and kappa was 0.67 (95% confidence interval, 0.41-0.93). Comparison of the CLDI with the CLDEQ-8 in a sample of 58 CL wearers showed that 70.7% were classified equally by both questionnaires.
The CLDI is a well-structured instrument, with acceptable psychometric properties, making it a valid and reliable tool to measure CL-related symptoms.
问卷可以从患者角度提供有关状况的独特信息。隐形眼镜(CL)不适(CLD)是隐形眼镜使用者主观报告的一种状况;因此,需要更新和可靠的问卷。
本研究的目的是根据在泪膜和眼部表面 CLD 研讨会中考虑的当前确立的 CLD 定义,设计一种用于识别 CLD 的新问卷。
创建并管理了一项调查,以描述隐形眼镜佩戴者的特征。该调查的一些项目由焦点小组选择,并使用 Rasch 模型进行分析,以开发一种识别 CLD 的问卷。通过主成分分析检查了单维性。为了建立合理的 CLD 分类(有症状与无症状),使用无监督聚类分析。计算了 Gower 总体相似系数、中位数算法分区和轮廓宽度。使用组内相关系数和 Cohen 的 kappa 系数评估问卷的可靠性。进行了一项研究,将该问卷与隐形眼镜干眼症问卷(CLDEQ)-8 进行比较。
1104 名志愿者完成了 31 项调查,随后的分析得出了 9 项问卷,即隐形眼镜不适指数(CLDI)。它与模型拟合良好(均方 infit 和 outfit 值范围为 0.76-1.10),具有良好的单维性(特征值≤1.3)。CLDI 评分范围为 0-18,用于识别 CLD 的截断分数为 8。组内相关系数为 0.88(95%置信区间为 0.75-0.94),kappa 为 0.67(95%置信区间为 0.41-0.93)。在 58 名隐形眼镜佩戴者的样本中,将 CLDI 与 CLDEQ-8 进行比较的结果表明,70.7%的人被两种问卷同样分类。
CLDI 是一种结构良好的工具,具有可接受的心理测量学特性,是一种用于测量与隐形眼镜相关症状的有效和可靠工具。