| Título: | The Computer-Vision Symptom Scale (CVSS17): Development and Initial Validation |
| Autores: | González Pérez, Mariano ; Susi García, Rosario ; Antona Peñalba, Beatriz ; Barrio de Santos, Ana Rosa ; González Díaz-Obregón, Enrique |
| Tipo de documento: | texto impreso |
| Editorial: | Association for Research in Vision and Ophthalmology (ARVO), 2014-07 |
| Dimensiones: | application/pdf |
| Nota general: | info:eu-repo/semantics/openAccess |
| Idiomas: | |
| Palabras clave: | Estado = Publicado , Materia = Ciencias Biomédicas: Medicina: Medicina del trabajo , Materia = Ciencias Biomédicas: Medicina: Optica , Materia = Ciencias Biomédicas: Óptica y optometría: Optometría , Materia = Ciencias Biomédicas: Óptica y optometría: Óptica oftálmica , Tipo = Artículo |
| Resumen: |
Purpose.: To develop a questionnaire (in Spanish) to measure computer-related visual and ocular symptoms (CRVOS). Methods.: A pilot questionnaire was created by consulting the literature, clinicians, and video display terminal (VDT) workers. The replies of 636 subjects completing the questionnaire were assessed using the Rasch model and conventional statistics to generate a new scale, designated the Computer-Vision Symptom Scale (CVSS17). Validity and reliability were determined by Rasch fit statistics, principal components analysis (PCA), person separation, differential item functioning (DIF), and item–person targeting. To assess construct validity, the CVSS17 was correlated with a Rasch-based visual discomfort scale (VDS) in 163 VDT workers, this group completed the CVSS17 twice in order to assess test-retest reliability (two-way single-measure intraclass correlation coefficient [ICC] and their 95% confidence intervals, and the coefficient of repeatability [COR]). Results.: The CVSS17 contains 17 items exploring 15 different symptoms. These items showed good reliability and internal consistency (mean square infit and outfit 0.88–1.17, eigenvalue for the first residual PCA component 1.37, person separation 2.85, and no DIF). Pearson's correlation with VDS scores was 0.60 (P Conclusions.: The Rasch-based linear-scale CVSS17 emerged as a useful tool to quantify CRVOS in computer workers. |
| En línea: | https://eprints.ucm.es/33028/1/Pages%20from%20iovs-55-06-50_13-13818R2%5B2014%5Ds.pdf |
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