SS66-02 VALIDATION OF THE ‘COMPUTER VISION SYNDROME QUESTIONNAIRE’ (CVS-Q) INSTRUMENT AMONG ADMINISTRATIVE WORKERS IN LIMA, PERU (2019)

Abstract

Introduction Computer Vision Syndrome (CVS) is currently considered an emerging public health problem due to the increase in economic activities associated with the use of data display screens (DDS). However, the lack of an instrument to identify the early symptoms and signs, can originate a prolonged exposure to the use of DDS and increase the prevalence of symptoms. Material and Methods A validation study incorporating content and discriminant validation of the CVS-Q instrument was carried out on administrative sector workers, susceptible to presenting risk factors associated with CVS in a company in Lima, Peru. The sample size consisted of 181 workers (91workers with risk factors for CVS and 90 workers without risk factors). Results The content validity was determined using the Aiken's method with average values greater than 0.7 for the coherence and clarity of the questions. The discriminant validity, an area under the ROC curve of 82.5% was obtained with a sensitivity of 70% and specificity of 89% for distinguishing between administrative and operative workers. Reliability was analysed using Cronbach's alpha method resulting in a value of 0,87 indicating high internal consistency. The Test-Retest reliability analysis for reproducibility was significant with a value of r=0,715. Conclusions The CVS-Q instrument demonstrated discriminant validity reaching high levels of sensitivy and specificity, being specific for measuring exposure to risk factors for CVS. The reliability of the instrument was confirmed through statistical Test-Retest analysis and the calculation of Cronbach's alpha. In conclusion, the study validates the CVS-Q among administrative workers.