A Pre-experimental Study to Assess the effectiveness of Self Instructional Module on Knowledge regarding Computer Ergonomics among Desktop users working in selected Information Technology Company of District Mohali, Punjab
Neha Rana1, Rashmi Choudhary2, Poonam Sharma3
1Post Office Tiara, District Kangra, Tehsil Kangra, Himachal Pradesh- 176214
2Mata Sahib Kaur College of Nursing, Mohali, Punjab, India
*Corresponding Author E-mail: nrana1268@gmail.com
ABSTRACT:
Computer ergonomics is the practice of fitting the set up of the computer and the workspace to fit the user and the user's work needs in order to minimize physical stress on the computer user. Reports of different studies have suggested clearly the likelihood of pupils or staff suffering health problems linked to computer use is related to the amount of time spent using them and also lack of knowledge related to computer ergonomics. The study aim is to assess the effectiveness of self instructional module on computer ergonomics among desktop users working in selected Information Technology Company of district Mohali, Punjab. Quantitative research approach and pre experimental one group pre test post test research design was adopted for the study. 100 desktop users were selected through convenient sampling technique. Result showed that 74% desktop users were having below average knowledge in pre test and 67% desktop users were having good knowledge in post test. The study concluded that self instructional module was effective in enhancing the knowledge of desktop users regarding computer ergonomics. There was no significant association of pre test level of knowledge regarding computer ergonomics with selected socio demographic variables such as age, gender, professional qualification, marital status, average hours of work per day in front of computer, total experience in job which dealt with computer, current job position, monthly income ( in rupees), and previous source of knowledge regarding computer ergonomics.
KEYWORDS: Effectiveness, self instructional module, knowledge, computer ergonomics, desktop users.
INTRODUCTION:
Computers are an integral part of life. In every sphere of life the dependence on computers is ever increasing.1 In the current world, it’s almost impossible to imagine that someone can live without computers. They have become an electronic device of almost every day use for individuals of every age.2
The word ergonomics is derived from Greek words, "ergo" and "nomos", meaning law and work respectively. International ergonomics association describes ergonomics is the engineering science dealing with various anatomical, physiological, psychological, philosophies and their interaction with people.1. In India, ergonomics is a relatively novel concept to be considered by most enterprises as an essential component. Indian Information Technology (IT) Sector is growing rapidly with 2,236,614 Indian information technology users working in IT sectors.3
Recent studies have reported in 2013 that the most frequently occurring health problem among computer users is Computer Vision Syndrome (CVS). It is a complex of eye and vision problems related to the activities which stress the near vision and which are experienced in relation, or during the use of the computer. The main ocular symptoms reportable among computer users are eye strain, irritation, burning sensation, redness, blurred vision and double vision.4
Using the wrong chair or just sitting improperly in front of a computer for long time can lead to inflamed muscles and tendons. Globally, the number of people suffering from musculoskeletal conditions has increased by 25 percent over the past decade and these conditions make up 2% of the global disease burden. Ergonomics emerges as an issue since many of musculoskeletal conditions are common computer- related injuries and prevalence of work-related musculoskeletal disorders (WMSD‘s) is increasing among computer users throughout the world.5 MSD’s include many kinds of sprains and strains, carpal tunnel syndrome, tendonitis, sciatica, and low back pain.6
Objectives:
1. To assess the pre test knowledge regarding computer ergonomics among desktop users working in selected Informational technology company of district Mohali, Punjab.
2. To develop and administer the self instructional module regarding computer ergonomics among desktop users working in selected Informational technology company of district Mohali, Punjab
3. To evaluate the effectiveness of self instructional module regarding computer ergonomics among desktop users working in selected Informational technology Company of district Mohali, Punjab.
4. To find out the association between research findings and selected socio demographic variables
MATERIAL AND METHOD:
Research approach: Quantitative research approach
Research design: Pre- experimental one group pre test post test research design.
Research setting: The study was conducted in selected Information Technology Company (Private), Mohali, Punjab.
Target Population: Desktop users working in selected Information Technology Company of Mohali, Punjab.
Sampling Technique: Convenient sampling technique
Sample size: 100 desktop users
Description of Tool:
Tool consist of two sections:
Section A: Socio- Demographic variables,
Section B: Structured Knowledge Questionnaire.
Inclusion criteria: The study includes the desktop users who were:
· Willing to participate in the study.
· Available at the time of data collection.
· Able to read and understand English
Exclusion criteria:
The study excludes the desktop users:
· Who had undergone any similar study.
· Who were absent or on leave at the time of data collection
Findings:
Table 1: Frequency and percentage distribution of desktop users according to their socio-demographic variables. N= 100
|
Sr. No. |
Socio demographic variables |
Frequency f |
Percentage % |
|
1. |
Age (in years) |
||
|
|
24-30 |
66 |
66% |
|
|
31-37 |
32 |
32% |
|
|
>37 |
02 |
2% |
|
2. |
Gender |
||
|
|
Male |
46 |
46% |
|
|
Female |
54 |
54% |
|
|
Transgender |
0 |
0% |
|
3. |
Professional Qualification |
||
|
|
Diploma |
19 |
19% |
|
|
Graduation |
41 |
41% |
|
|
Post-Graduation and Above |
40 |
40% |
|
4. |
Marital Status |
||
|
|
Single |
46 |
46% |
|
|
Married |
51 |
51% |
|
|
Widow/widower |
01 |
01% |
|
|
Divorced |
02 |
02% |
|
|
Separated |
0 |
0% |
|
5. |
Average hours of work per day in front of computer |
||
|
|
2-4 |
29 |
29% |
|
|
4-6 |
40 |
40% |
|
|
6-8 |
29 |
29% |
|
|
>8 |
02 |
02% |
|
6. |
Total experience in job which dealt with computer (in years) |
||
|
|
0-2 |
01 |
01% |
|
|
2-4 |
25 |
25% |
|
|
4-6 |
45 |
45% |
|
|
>6 |
29 |
29% |
|
7. |
Current job position |
||
|
|
Manager |
03 |
03% |
|
|
Project manager |
27 |
27% |
|
|
Team leader |
43 |
43% |
|
|
Associate developer |
27 |
27%
|
|
8. |
Monthly income (in rupees) |
||
|
|
≤10,000 |
27 |
27% |
|
|
10,001-20,000 |
44 |
44% |
|
|
20,001-30,000 |
26 |
26% |
|
|
30,001-40,000 |
03 |
03% |
|
|
≥40,001 |
0 |
0% |
|
9. |
Previous source of knowledge regarding computer ergonomics |
||
|
|
None |
0 |
0% |
|
- |
Newspaper |
27 |
27% |
|
|
Health seminar |
06 |
06% |
|
|
Magazines |
23 |
23% |
|
|
Internet |
44 |
44% |
Table 1 depicts that majority of the desktop users i.e. 66% were in the age group of 24-30 years, 54% were females, majority i.e. 40% had professional qualification of post-graduation and above, 46% were single, average hours of work per day in front of computer of 40% desktop users were 4-6 hours, 45% had 4-6 years of total experience in job which dealt with computer, current job position of 43% was team leader, 44% had monthly income (in rupees) of 10,001-20,000/-and internet was previous source of knowledge regarding computer ergonomics among 44% desktop users.
Table 2: Criteria for measuring level of knowledge
|
Level of knowledge |
Total knowledge score |
|
Very Good |
26-30 |
|
Good |
21-25 |
|
Average |
16-20 |
|
Below average |
0-15 |
Figure 1: Frequency and percentage distribution of pre-test and post-test level of knowledge among desktop users.
Table 3: Paired t-test to find out effectiveness of SIM (Self Instructional Module) on knowledge among desktop users.
N=100
|
Knowledge |
Mean |
Median |
S.D |
MD
|
Paired t test, p value |
|
Pre-test |
13.9 |
14.00 |
2.464 |
7.3 |
20.310,0.000* |
|
Post-test |
21.20 |
21.50 |
2.486 |
*Significant at p<0.05
Table 3 shows that there was significant difference in knowledge of desktop users during pre-test and post-test. The calculated paired “t” value was found to be higher than the tabulated value (t99=1.984) at p<0.05 level of significance which depicts that the difference between pre-test and post-test is a true difference and not by chance.
Table 4: Association of pre-test level of knowledge with selected socio- demographic variables of desktop users N= 100
|
Pre-test level of knowledge |
||||
|
Sr. No |
Socio demographic variables |
Below average (n= 74) |
Average (n=26) |
Chi-square value, df, |
|
1. |
Age (in years) |
|||
|
|
24-30 |
52 |
14 |
2.56,2, 0.278NS
|
|
|
31-37 |
21 |
11 |
|
|
|
>37 |
02 |
00 |
|
|
2. |
Gender |
|||
|
|
Male |
34 |
12 |
000, 1, 0.582NS
|
|
|
Female |
40 |
14 |
|
|
|
Transgender |
0 |
0 |
|
|
3. |
Professional Qualification |
|||
|
|
Diploma |
17 |
2 |
2.925, 2, 0.232NS
|
|
|
Graduation |
29 |
12 |
|
|
|
Post-graduation and above |
28 |
12 |
|
|
4. |
Marital status |
|||
|
|
Single |
36 |
10 |
1.693,3, 0.639NS
|
|
|
Married |
36 |
15 |
|
|
|
Widow/widower |
1 |
0 |
|
|
|
Divorced |
1 |
1 |
|
|
|
Separated |
0 |
0 |
|
|
5. |
Average hours of work per day in front of computer |
|||
|
|
2-4 |
24 |
5 |
6.069,3, 0.108NS
|
|
|
4-6 |
32 |
8 |
|
|
|
6-8 |
17 |
12 |
|
|
|
>8 |
1 |
1 |
|
|
6. |
Total experience in job which dealt with computer ( in years) |
|||
|
|
0-2 |
0 |
1 |
4.350, 3, 0.226NS
|
|
|
2-4 |
20 |
5 |
|
|
|
4-6 |
31 |
14 |
|
|
|
>6 |
23 |
6 |
|
|
7. |
Current job position |
|||
|
|
Manager |
2 |
1 |
4.493, 3, 0.223NS
|
|
|
Project manager |
16 |
11 |
|
|
|
Team leader |
34 |
9 |
|
|
|
Associate developer
|
22 |
5 |
|
|
8. |
Monthly income (in rupees) |
|||
|
|
≤10,000 |
22 |
5 |
5.166, 3, 0.160NS
|
|
|
10,001-20,000 |
35 |
9 |
|
|
|
20,001-30,000 |
15 |
11 |
|
|
|
30,001-40,000 |
2 |
1 |
|
|
|
≥40,001 |
0 |
0 |
|
|
9. |
Previous source of knowledge regarding computer ergonomics |
|||
|
|
None |
|
|
2.684, 3, 0.443NS
|
|
|
Newspaper |
17 |
10 |
|
|
|
Health seminar |
5 |
1 |
|
|
|
Magazines |
17 |
6 |
|
|
|
Internet |
35 |
9 |
|
NS= Non- Significant at p< 0.05
Table 4 shows that there was no significant association of pre-test level of knowledge of computer ergonomics among desktop users with selected socio- demographic variables.
CONCLUSION:
· 74% of Desktop users were having below average knowledge regarding computer ergonomics during pre-test whereas 67% were having good knowledge regarding computer ergonomics during post-test.
· Self instructional module was effective in enhancing the knowledge of desktop users regarding computer ergonomics
· There was no significant association of pre-test level of knowledge regarding computer ergonomics among desktop users with selected socio- demographic variables like age, gender, professional qualification, marital status, average hours of work per day in front of computer, total experience in job which dealt with computer, current job position, monthly income ( in rupees), and previous source of knowledge regarding computer ergonomics.
DISCUSSION:
· In present study, mean of knowledge score in pretest and posttest were 13.9 and 21.20 respectively. Paired t test was applied which showed significant difference at p<0.05. Thus, self instructional module was effective in increasing the knowledge of desktop users.
· Similar study conducted by Hiremath PK. 2015 showed that mean pretest and posttest knowledge score was 9.04 and 18.24, respectively which was highly significant at the level of p<0.05. Self instructional module was found to be effective in increasing the knowledge of the computer operators regarding prevention of occupational health hazards.7
· Study conducted by Shokunbi GO, Gabriel G. 2015 which showed that mean scoring pre and post-information knowledge were 22.78±6.61 and 31.05±2.82 respectively. Paired t test showed a significant difference in the pre information and post -information knowledge scores of the participants (t=20.495, P value = 0.000). Thus result implied that the self instructional module was effective in increasing the knowledge of computers users.8 Similar study conducted by Menaria Kamlesh, Goswami Yogeshwar P , Kumar Sandeep N. 2018 showed the mean score of post-test knowledge 28.98 (80.50.%) which was apparently higher than the mean score of pre-test knowledge 14.96 (41.57%), which revealed that self instructional module was effective in increasing the knowledge of computers users.9
ACKNOWLEDGEMENT:
I gratefully acknowledge Mrs.Kanika for the valuable help in statistical analysis.
ETHICAL CLEARANCE:
· A formal written permission was obtained from Private IT Company Mohali, Punjab.
· A formal written permission for the research study was taken from ethical and research committee of Mata Sahib Kaur College of Nursing, Balongi.
· Confidentiality and anonymity information of all respondents was maintained.
· Written informed consent from the desktop users was taken.
REFERENCES:
1. Tafese A, Nega A, Getasew D, Erku G, Assessment of Knowledge and Practice of Computer Ergonomic. Journal Community Med Health Education. 2018 Jan 19; 8(1) Available from: https://www.omsicsonline.org/open-access/assessment-of-knowlesdge-and-practice-of-computer-ergonomics-amongsecretaries-and-data-processing-workers-in-university-of-gondarno-2161
2. Khan R ,Surti A Rehman R, Ali U. Knowledge and practices of ergonomics in computer users. JPMA. The Journal of the Pakistan Medical Association DOI: [01 Mar 2012];62(3):213-217. Available from: https://www.ncbi.nlm. nih.gov/pubmed/22764450
3. Mohamed Sherif Sirajudeen, Shaikhji Saad Mohamed Siddik. Knowledge of Computer Ergonomics among Computer Science. Asian Journal of Pharmaceutical Research and Health Care.2017; 9(2) Available from: http://www.informaticsjournals.com/index.php/ajprhc/article/view/11023/13307
4. Logaraj M, Priya VM, Seetharaman N, Hedge SK. practice of ergonomic principles and computer vision syndrome (cvs) among under graduates students in chennai. 3(2):6. Available from: https://www.scopemed.org/? mno=31577
5. Hatkala T, et al. “Prevalence of Work-Related Wrist and Hand Musculoskeletal Disorders (WMSD) among Computer Users, Karnataka State, India. 2010, 10:11.doi:10.1186/1471-2458-10-11.Available from: https://www.google.co.in/search?q=prevalance+of+work+related+wrist+and+hand+musculosketal+disorder+among+computer+users+%2C+karnatka+state+%2C+india+2010&oq=pre
6. Talwar R, Kapoor R, Puri K, Bansal K, Singh S. A study of visual and musculoskeletal health disorders among computer professionals in NCR Delhi. Indian Journal of Community Medicine. Oct 1(2009);34(4):326 Available from: https://www.ncbi.nlm.nih.gov/pubmed/20165627
7. Hiremath PK. 2015.Self instructional module on knowledge regarding prevention of occupational health hazards, Innovational Journal of Nursing and Healthcare. 2015; 1(3) Available from : http://innovationalpublishers.com/ Content/uploads/PDF/1065408381 IJNHSEP153.pdf
8. Oluwalek Ganiyu Shokunbi, George Gabriel. Self-instructional information on knowledge regarding office ergonomics, Nigerian journal of medical rehabilitation.2015;1(18) Available from: http://www.njmr.org.ng/ index.php/njmr/article/view/113
9. Menaria Kamlesh, Goswami Yogeshwar P, Kumar Sandeep N. 2018. Self-Instructional Module On Knowledge Regarding Computer Vision Syndrome And Its Prevention Among It Workers, IOSR Journal of Nursing and Health Science (IOSR-JNHS). Available from: http://www.iosrjournals.org/iosr-jnhs/papers/vol7-issue4/Version-7/C0704071823.pdf
Received on 31.10.2019 Modified on 28.11.2019
Accepted on 23.12.2019 © A&V Publications all right reserved
Int. J. Nur. Edu. and Research. 2020; 8(2):149-152.
DOI: 10.5958/2454-2660.2020.00033.2