The Effect of 20-20-20 Rule Dissemination and Artificial Tears Administration in High School Students Diagnosed with Computer Vision Syndrome

https://doi.org/10.22146/jpkm.54121

Bambang Subakti Zulkarnain(1*), Aniek Setiya Budiatin(2), Toetik Aryani(3), Rozalina Loebis(4)

(1) Department of Clinical Pharmacy, Faculty of Pharmacy, Airlangga University
(2) Department of Clinical Pharmacy, Faculty of Pharmacy, Airlangga University
(3) Department of Clinical Pharmacy, Faculty of Pharmacy, Airlangga University
(4) Department of Clinical Pharmacy, Faculty of Pharmacy, Airlangga University
(*) Corresponding Author

Abstract


Computers and gadgets are modern tools for assisting Senior High School students’ work. However, using gadgets more than 2 hours a day may cause computer vision syndrome (CVS), which can interfere with academic activities. CVS main symptom is dry eyes. CVS could be prevented by applying the 20-20-20 rule and artificial tears. A total of 100 students from two public high schools in Kediri with 50 students from each school were selected for this community service. All students diagnosed with CVS participated in the dissemination of 20-20-20 rule and artificial tear administration. The pre-test and post-test scores, the Tear Break Up Time Test (TBUT) and the Ocular Disease Surface Index (OSDI) were measured within two weeks. TBUT and OSDI are parameters for measuring dry eye. Likewise, interviews were conducted to assess the adherence to the 20-20-20 rule and artificial tea administration. The results showed the knowledge level increased (p <0.0001). Most students understood 20-20-20 rule and how to administer artificial tears correctly. However, the adherence to both methods was approximately 50%. There was an improvement in the TBUT (p <0.0001) for dry eyes but not for OSDI (p> 0.05). Applying the 20-20-20 rule and artificial tears could be used for CVS treatment.

Keywords


Education 20-20-20 rule; Computer Vision Syndrome; Gadget; High School Students; Artificial tear

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References

Akkaya, S., Atakan, T., Acikalin, B., Aksoy, S., & Ozkurt, Y. (2018). Effects of long-term computer use on eye dryness. Northern clinics of Istanbul, 5(4), 319–322. DOI: 10.14744/nci.2017.54036

Antari, N.P.U & Putra, A.S. (2014). Tingkat Pengetahuan tentang Penanganan Obat dalam Swamedikasi dan Pengaruhnya terhadap Kebiasaan Menggunakan Obat pada Respoden di Apotek Gunung Sari [Skripsi]. Denpasar: Akademi Farmasi Saraswati.

Alghamdi & Alrasheed. (2020). Impact of an educational intervention using the 20/20/20 rule on Computer Vision Syndrome. African Vision Eye Health, 79(1), a554. DOI: https://doi.org/10.4102/aveh.v79i1.554

Al Tawil L, Aldokhayel S, Zeitouni L, Qadoumi T, Hussein S, Ahamed SS. (2020). Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. European Journal of Ophthalmology, 30(1), 189-195. DOI: 10.1177/1120672118815110

American Optometric Association. (2018). Computer Vision Syndrome. https://www.aoa.org/patientsand-public/caring-for-yourvision/protectingyour-vision/computer-vision-syndrome

Anggrainy, Lubis, & Ashar, P., Lubis, R., & Ashar, T. (2020). The effect of trick intervention 20-20-20 on computer vision syndrome incidence in computer workers. Journal of Ophtalmology (Ukraine), 432(1), 22-27. DOI:10.31288/oftalmolzh202012227

Blehm et al. (2005). Computer Vision Syndrome: A Review. Survey of Ophthalmology, 50(3), 253— 262. DOI: 10.1016/j.survophthal.2005.02.008

Elvira & Wijaya, V.N. (2018). Penyakit Mata Kering. CDK Edisi Suplemen, 193-194.

Eva, P.R. & Augsburger, J.J. (2018). Vaughan & Asbury’s General Ophtalmology (19th edition). New York: Mc Graw-Hill Education.

Feng, A., John O, Mitchell H, Catherine G, Martha MW, & Sandra RM. (2016). Success of patient training in improving proficiency of eyedrop administration among various ophthalmic patient population. Clinical Ophthalmology, 10, 505—1511. DOI: 10.2147/OPTH.S108979

Hedendahl, LK., Michael C, Tarmo K, & Lennart H. (2017). Measurements of Radiofrequency Radiation With A Body-Borne Exposimeter In Swedish Schools With Wi-Fi. Frontiers in Public Health, 5, 279. DOI: 10.3389/fpubh.2017.00279

Internet World Stats. (2019). https://www.internetworlstats .com/stats3. htm, 23 September 2019.

Jaiswal, S., Asper, L., Long, J., Lee, A., Harrison, K., & Golebiowski, B. (2019). Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know. Clinical & experimental optometry102(5), 463–477. DOI: 10.1111/cxo.12851

Kumar, P., Bhargava, R., Kaur, A., Kumar, M., & Mishra, A. (2014). The diagnostic value and accuracy of conjunctival impression cytology, dry eye symptomatology, and routine tear function tests in computer users. Journal of laboratory physicians6(2), 102–108. DOI: 10.4103/0974-2727.141507

Lee. (2016). The Ins and Outs of Corneal Wound Healing. https://www.reviewofoptometry.com/article/the -ins-and-outs-of-corneal-wound-healing May 2, 2019

Loebis, R. (2017). Effects of computer and mobile devices usage on visual acuity and tear film in children [E-Poster]. 32nd Asia Pasific Academy of Ophthalmology Congress, Singapore.

Miljanović, B., Dana, R., Sullivan, D. A., & Schaumberg, D. A. (2007). Impact of dry eye syndrome on vision-related quality of life. American journal of ophthalmology143(3), 409–415. DOI: 10.1016/j.ajo.2006.11.060

Mowatt, L., Gordon, C., Santosh, A., & Jones, T. (2018). Computer vision syndrome and ergonomic practices among undergraduate university students. International journal of clinical practice72(1). DOI: 10.1111/ijcp.13035

Novitasari, W. & Khotimah, N. (2016). Dampak Penggunaan Gawai terhadap Interksi Sosial Anak Usia 5—6 Tahun. Jurnal PAUD Teratai, 5(3), 1—2.

Pucker, A.D. et al. (2016). Over the counter (OTC) artificial tear drops for dry eye syndrome. Cochrane Database of Systematic Reviews 2016, Issue 2. Art. No.: CD009729.

Reddy, S.C. et al. (2013). Computer vision syndrome: a study of knowledge and practices in university students. Nepal Journal of Ophthalmology, 5(3), 161—168. DOI: 10.3126/nepjoph.v5i2.8707

Rideout, V.J. et al. (2010). Generation M2 Media In The Lives of 8-To 18-Year Olds. A Kaiser Family Foundation Study, p. 20.

Santos C., G., Borges, C., Nunes, S., Salgado-Borges, J., & Duarte, L. (2011). Efficacy of 3 different artificial tears for the treatment of dry eye in frequent computer users and/or contact lens users. European journal of ophthalmology21(5), 538–544. DOI: 10.5301/EJO.2011.6324

Schiffman, R. M., Christianson, M. D., Jacobsen, G., Hirsch, J. D., & Reis, B. L. (2000). Reliability and validity of the Ocular Surface Disease Index. Archives of ophthalmology (Chicago, Ill. : 1960)118(5), 615–621. DOI: 10.1001/archopht.118.5.615

Sen, A. & Richardson, S. (2007). A study of computerrelated upper limb discomfort and computer vision syndrome. Journal of Human Ergology, 36(2), 45—50.

Swanson M. (1998). Compliance with and typical usage of artificial tears in dry eye conditions. Journal of the American Optometric Association, 69(10), 649-655.

The Vision Council. (2014). Digiteyezed: The Daily Impact Of Digital Screens On The Eye Health Of Americans. Diakses dari https://www.thevisioncouncil.org/

Wimalasundera, S. (2006). Computer Vision Syndrome. Galle Medical Journal, 11(1), 26. DOI: http://doi.org/10.4038/gmj.v11i1.1115



DOI: https://doi.org/10.22146/jpkm.54121

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