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

Author

Listed:
  • Natalia Cantó-Sancho

    (Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 San Vicente del Raspeig, Spain)

  • Elena Ronda

    (Public Health Research Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
    Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain)

  • Julio Cabrero-García

    (Department of Nursing, University of Alicante, 03690 San Vicente del Raspeig, Spain)

  • Stefano Casati

    (Eye Clinic, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy)

  • Angela Carta

    (Department of Diagnostics and Public Health, University of Verona, 37129 Verona, Italy
    Mistral–Interuniversity Research Centre ‘Integrated Models of Study for Health Protection and Prevention in Living and Working Environments’, University of Verona, 37134 Verona, Italy)

  • Stefano Porru

    (Department of Diagnostics and Public Health, University of Verona, 37129 Verona, Italy
    Mistral–Interuniversity Research Centre ‘Integrated Models of Study for Health Protection and Prevention in Living and Working Environments’, University of Verona, 37134 Verona, Italy
    These authors contributed equally to this work.)

  • Mar Seguí-Crespo

    (Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 San Vicente del Raspeig, Spain
    Public Health Research Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
    These authors contributed equally to this work.)

Abstract

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.

Suggested Citation

  • Natalia Cantó-Sancho & Elena Ronda & Julio Cabrero-García & Stefano Casati & Angela Carta & Stefano Porru & Mar Seguí-Crespo, 2022. "Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©," IJERPH, MDPI, vol. 19(8), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4506-:d:789816
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    References listed on IDEAS

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    1. Francesca Larese Filon & Anna Drusian & Federico Ronchese & Corrado Negro, 2019. "Video Display Operator Complaints: A 10-Year Follow-Up of Visual Fatigue and Refractive Disorders," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
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