Abstract

Introduction: Computer Vision Syndrome, also referred to as digital eye strain, describes a group of eye and vision-related problems that result from prolonged computer, tablet, e-reader and cell phone use. At greatest risk for developing CVS are those persons who spend two or more continuous hours at a computer or using a digital screen device every day. The aim of this study was to assess the effectiveness of structured teaching programme on knowledge regarding Computer Vision Syndrome among Office employees. Design: A quantitative approach using pre experimental one group pre-test post-test design. Participants: 100 Office employees were selected using non probability convenient sampling technique in selected companies of Mehsana district. Interventions: Structured teaching programme was given to the Office employees. Tool: Self Structured Questionnaire was used to assess the level of Knowledge on Computer Vision Syndrome among Office employees. Results: In this study overall the highest percentage in the demographic data including the Age group 40% (31-40 years), Gender 78% (Male), General education status 44% (Graduation in computer science), Total number of years of working on computer 33% (>8.1 years), Working department of company 28 % (Other), Type of computer work 27% (Graphic), Total number of hours working on computer per day 46% (9-12 hours), Total number of hours continuously working on computer per day 66% (≥6 hours), Use anti-reflective coating eyeglasses 100% (No), Use spectacles 65% (No) and Knowledge regarding computer vision syndrome 62% (No). The post¬test Knowledge mean score (16.7) higher than the mean pre-test knowledge score (10.29). The calculated “t” value (18.79) was greater than the table value (2.00) at 0.05 level of significance. The structured teaching programme was effective in increasing the knowledge of Office employees regarding Computer Vision Syndrome. Conclusion: The findings of the study revealed that structured teaching programme helps in improving knowledge regarding Computer Vision Syndrome among Office employees.

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