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

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 Syndr...

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Autores principales: Cantó-Sancho, Natalia, Ronda, Elena, Cabrero-García, Julio, Casati, Stefano, Carta, Angela, Porru, Stefano, Seguí-Crespo, Mar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028942/
https://www.ncbi.nlm.nih.gov/pubmed/35457379
http://dx.doi.org/10.3390/ijerph19084506
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author Cantó-Sancho, Natalia
Ronda, Elena
Cabrero-García, Julio
Casati, Stefano
Carta, Angela
Porru, Stefano
Seguí-Crespo, Mar
author_facet Cantó-Sancho, Natalia
Ronda, Elena
Cabrero-García, Julio
Casati, Stefano
Carta, Angela
Porru, Stefano
Seguí-Crespo, Mar
author_sort Cantó-Sancho, Natalia
collection PubMed
description 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, unidimensionality, and no or minimal severe differences as a function of gender or age; moreover, good test–retest repeatability, adequate values of sensitivity, reliability, and area under the curve, and adequate construct validity based on clinical tests were obtained. Workers with a questionnaire score ≥ 7 were found to present with CVS. The prevalence of CVS was 76.6%. The CVS-Q IT© is a valid and reliable scale to assess CVS in Italian workers who use digital devices.
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spelling pubmed-90289422022-04-23 Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT© Cantó-Sancho, Natalia Ronda, Elena Cabrero-García, Julio Casati, Stefano Carta, Angela Porru, Stefano Seguí-Crespo, Mar Int J Environ Res Public Health Article 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, unidimensionality, and no or minimal severe differences as a function of gender or age; moreover, good test–retest repeatability, adequate values of sensitivity, reliability, and area under the curve, and adequate construct validity based on clinical tests were obtained. Workers with a questionnaire score ≥ 7 were found to present with CVS. The prevalence of CVS was 76.6%. The CVS-Q IT© is a valid and reliable scale to assess CVS in Italian workers who use digital devices. MDPI 2022-04-08 /pmc/articles/PMC9028942/ /pubmed/35457379 http://dx.doi.org/10.3390/ijerph19084506 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cantó-Sancho, Natalia
Ronda, Elena
Cabrero-García, Julio
Casati, Stefano
Carta, Angela
Porru, Stefano
Seguí-Crespo, Mar
Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©
title Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©
title_full Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©
title_fullStr Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©
title_full_unstemmed Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©
title_short Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©
title_sort rasch-validated italian scale for diagnosing digital eye strain: the computer vision syndrome questionnaire it©
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028942/
https://www.ncbi.nlm.nih.gov/pubmed/35457379
http://dx.doi.org/10.3390/ijerph19084506
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