A Study to Evaluate the Effectiveness of Educational Handout on Knowledge Regarding Computer Vision Syndrome among Primary School Children in a Selected Urban School, Bagalkote
DOI:
https://doi.org/10.37628/ijcn.v9i1.2323Abstract
Computers play a valuable role in increasing the efficiency and accuracy of several works. However, prolonged computer use carries a number of hazards, including eye conditions. The situation applies to children as well. Kids have a tendency to adopt the things they observe. Kids are equally interested in TV and computers as a result. Consequently, computer vision syndrome currently affects both adults and children equally. The study's main objective was to evaluate the instructional pamphlet's impact on primary school students with computer vision syndrome. Method: The present study used a single group pre-test post-test design to achieve its objectives. The researchersthemselves developed the self-structured knowledge questionnaire to assess the knowledge of the primary schoolchildren on computer vision syndrome followed by educational handout. Using the split-half method, the tool's dependability was evaluated. A sample of 120 urban primary school pupils was selected using a non-probability purposive selection technique. Results: The findings of the study revealed that the majority (55%) of the primaryschool children gained moderately adequate knowledge and 33% of the primary school children gained adequateknowledge regarding computer vision syndrome. The post-test knowledge score (14.24 ± 5.19) was higher than the pre-test knowledge score (6.68 ± 3.35). To determine the impact of instructional handout on computer vision syndrome, a paired 't' test was performed. The estimated "t" value in knowledge (10.13, p = 0.05) was greater than the table value (t120 = 1.98) at the 0.05 level of significance. This proved that the gain in knowledge after the distribution of instructional materials was significant. The pre-test knowledge scores' correlation with the selected demographic traits on computer vision syndrome revealed a significant connection between the pre-existing knowledge scores and the demographic factors. Deduction: The present study demonstrated that primary school students did not have a thorough understanding of computer vision syndrome, and the study's overall findings demonstrated that there was a highly significant improvement in students' knowledge of computer vision syndrome after the distribution of the educational handout. As a result, it was determined that the educational handout on computer vision syndrome was quite successful in raising the level of understanding among primary school students about the conditionReferences
ABC Eyes. Computer vision syndrome (CVS). [Online]. Available at https://www.pediatricophthalmologypa.com/1772-2/
Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt. 2011;31 (5): 502–515. doi: 10.1111/j.1475-1313.2011.00834.x.
Gray Group International. The importance of early childhood education for future success. [Online]. Available at https://www.graygroupintl.com/blog/importance-of-early-childhood-education-for-future-success
Heiting G. All About Vision. How to help children avoid computer vision syndrome. [Online]. Available at https://www.allaboutvision.com/cvs/children-computer-vision-syndrome.htm
Pavel IA, Bogdanici CM, Donica VC, Anton N, Savu B, Chiriac CP, Pavel CD, Salavastru SC. Computer vision syndrome: an ophthalmic pathology of the modern era. Medicina (Kaunas). 2023; 59 (2): 412. doi: 10.3390/medicina59020412.
Toosi KK, Hogaboom NS, Oyster ML, Boninger ML. Computer keyboarding biomechanics and acute changes in median nerve indicative of carpal tunnel syndrome. Clin Biomech. 2015; 30: 546–550. doi: 10.1016/j.clinbiomech.2015.04.008.
Stringham JM, Stringham NT, O’Brien KJ. Macular carotenoid supplementation improves visual performance, sleep quality, and adverse physical symptoms in those with high screen time exposure. Foods. 2017; 6: 47. doi: 10.3390/foods6070047.
Ahmed SF, McDermott KC, Burge WK, Ahmed IIK, Varma DK, Liao YJ, Crandall AS, Khaderi SKR. Visual function, digital behavior and the vision performance index. Clin Ophthalmol. 2018; 12: 2553–2561. doi: 10.2147/OPTH.S187131.
Fujita H, Sano K, Baba T, Tanaka T, Ohno-Matsui K. Blind working time in visual display terminal users. J Occup Health. 2019; 61: 175–181. doi: 10.1002/1348-9585.12027.
Moon JH, Kim KW, Moon NJ. Smartphone use is a risk factor for pediatric dry eye disease according to region and age: a case control study. BMC Ophthalmol. 2016; 16: 188. doi: 10.1186/s12886-016-0364-4.