A DESCRIPTIVE STUDY TO ASSESS THE KNOWLEDGE REGARDING COMPUTER VISION SYNDROME AND ITS PREVENTIVE MEASURES AMONG COMPUTER OPERATORS WORKING IN SMS HOSPITAL JAIPUR WITH A VIEW TO DEVELOP AN INFORMATION BOOKLET ON PREVENTION AND MANAGEMENT OF COMPUTER VISION SYNDROME

Author Name: 1. Dr Jogendra Kumar Sharma, 2. Mr Nitesh Singh

Volume/Issue: 04/10

Country: India

DOI NO.: 08.2020-25662434 DOI Link: https://doi-ds.org/doilink/03.2024-22441814/UIJIR

Affiliation:

1. Principal, Govt College of Nursing, Jaipur, Rajasthan, India.
2. Nursing Tutor, College of Nursing maharaja Suhel dev autonomous State medical College, Bahraich, Uttar Pradesh, India.

ABSTRACT

Computer vision syndrome (CVS) is a growing concern for individuals who uses computers on a daily basis. The study aimed to assess the knowledge regarding computer vision syndrome and its preventive measures among computer operators. A quantitative research approach and descriptive research design was used to conduct this study. The sample consisted of 100 computer operators who worked on a computer for more than five hours per day and convenient sampling technique was used to select the samples. A structured knowledge questionnaire was used to collect data from samples after getting consent and analysed using descriptive and inferential statistics. The findings of the study showed that the majority of the participants (64%) had average knowledge regarding CVS, 23% of the participants had a good knowledge and only 13% of the participants had poor knowledge. The mean score of knowledge was 16.78, mean % was 67.12 and SD was 4.74. The result of association between knowledge and demographic variable revealed that the variable i.e. age (calculated 𝛘2 value = 23.16), education (calculated 𝛘2 value = 14.23) and total number of hours working on computer per day (calculated 𝛘2 value = 6.66) had significant association at 0.05 level of significance.

Key words: Knowledge, Computer vision syndrome, Preventive measures, Computer operators, selected hospital, Information booklet