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extended · article · 2022

Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©

Natalia Cantó‐Sancho; Elena Ronda; Julio Cabrero‐García; Stefano Casati; Angela Carta; Stefano Porru; Mar Seguí‐Crespo; John M. Linacre

The use of digital devices affects eye health; this can influence the performance of workers. To assess this impact, validated patient-reported outcome questionnaires are needed. The purpose of this study was to validate the psychometric properties of the Italian version of the Computer Vision Syndrome Questionnaire (CVS-Q©) using Rasch analysis. Two hundred and forty-one Italian workers completed an ad hoc questionnaire on anamnesis and exposure to digital devices, and the Italian version of the CVS-Q©. Subsequently, a battery involving three clinical ocular surface and tear tests was performed. The reliability and validity of the scale was assessed using the Andrich Rating Scale Model, and the prevalence of computer vision syndrome (CVS) was calculated. A good fit of both items and persons to the predictions of the Rasch model was observed, with acceptable reliability, unidimensionalit...

Rating Scale ModelDIFPsychologyHealth OutcomesMedicine
APA citation

Natalia Cantó‐Sancho, Elena Ronda, Julio Cabrero‐García, Stefano Casati, Angela Carta, Stefano Porru, Mar Seguí‐Crespo, & John M. Linacre (2022). Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©. International Journal of Environmental Research and Public Health, 19(8), 4506-4506. https://doi.org/10.3390/ijerph19084506