DIGITAL EYE STRAIN IN THE REMOTE WORK ERA: A NARRATIVE REVIEW OF BLUE LIGHT FILTERING TECHNOLOGIES AND OTHER INTERVENTIONS
DOI:
https://doi.org/10.31435/ijitss.2(50).2026.5993Keywords:
Digital Eye Strain, Blue Light Filtering, Remote Work, Computer Vision Syndrome, Visual Health, Technological InterventionsAbstract
The rapid expansion of remote work has significantly increased daily screen exposure, contributing to a growing prevalence of Digital Eye Strain (DES), a condition characterized by symptoms such as eye fatigue, dryness, blurred vision, and headaches. As concerns regarding the potential impact of prolonged digital device use continue to rise, various interventions have been proposed to mitigate DES. This narrative review aims to evaluate the effectiveness of blue light filtering technologies and other commonly recommended interventions for reducing symptoms of Digital Eye Strain among remote workers. A literature search was conducted using PubMed and ResearchGate synthesizing findings from systematic reviews, meta-analyses, randomized controlled trials, and observational studies published between 2012 and 2026. The findings indicate that while blue light filtering glasses and screen filters may improve subjective visual comfort for some users, current evidence does not consistently demonstrate a significant reduction in DES symptoms attributable solely to blue light reduction. In contrast, interventions such as regular screen breaks, adherence to the 20–20–20 rule, optimization of workstation ergonomics, adjustment of display settings, and management of environmental factors show stronger and more consistent benefits. The review concludes that Digital Eye Strain is a multifactorial condition requiring a comprehensive management approach. Although blue light filtering technologies may serve as supportive measures, behavioural and ergonomic interventions remain the most evidence-based strategies for reducing DES in the remote work era. Future research should evaluate long-term outcomes and cost-effectiveness of these solutions.
References
Singh, S., Keller, P. R., Busija, L., McMillan, P., Makrai, E., Lawrenson, J. G., Hull, C. C., & Downie, L. E. (2023). Blue-light filtering spectacle lenses for visual performance, sleep, and macular health in adults. Cochrane Database of Systematic Reviews, 2023(8), Article CD013244. https://doi.org/10.1002/14651858.CD013244.pub2
Talens-Estarelles, C., Cerviño, A., García-Lázaro, S., Fogelton, A., Sheppard, A., & Wolffsohn, J. S. (2023). The effects of breaks on digital eye strain, dry eye and binocular vision: Testing the 20-20-20 rule. Contact Lens & Anterior Eye, 46(2), Article 101744. https://doi.org/10.1016/j.clae.2022.101744
Johnson, S., & Rosenfield, M. (2023). 20-20-20 rule: Are these numbers justified? Optometry and Vision Science, 100(1), 52–56. https://doi.org/10.1097/OPX.0000000000001971
Manna, P. (2026). From the ocular surface to neurophysiology: An integrative review of digital eye strain. Clinical Optometry, 18, Article 586750. https://doi.org/10.2147/OPTO.S586750
Bhattacharya, S., Saleem, S. M., & Singh, A. (2020). Digital eye strain in the era of COVID-19 pandemic: An emerging public health threat. Indian Journal of Ophthalmology, 68(8), 1709–1710. https://doi.org/10.4103/ijo.IJO_1782_20
Bin Maneea, M. W., Alamawi, H. O., Almuqbil, A., Abukhlaled, J. K., Alsuwailem, G., Alabdulminaim, J., Jr., Aladawi, A. M. M., & Alshangiti, A. Y. (2024). Digital eye straining: Exploring its prevalence, associated factors, and effects on the quality of life. Cureus, 16(5), Article e59442. https://doi.org/10.7759/cureus.59442
Moore, P. A., Wolffsohn, J. S., & Sheppard, A. L. (2024). Digital eye strain and its impact on working adults in the UK and Ireland. Contact Lens & Anterior Eye, 47(6), Article 102176. https://doi.org/10.1016/j.clae.2024.102176
Kaur, K., Gurnani, B., Nayak, S., Deori, N., Kaur, S., Jethani, J., Singh, D., Agarkar, S., Hussaindeen, J. R., Sukhija, J., & Mishra, D. (2022). Digital eye strain: A comprehensive review. Ophthalmology and Therapy, 11(5), 1655–1680. https://doi.org/10.1007/s40123-022-00540-9
Abusamak, M., Jaber, H. M., & Alrawashdeh, H. M. (2022). The effect of lockdown due to the COVID-19 pandemic on digital eye strain symptoms among the general population: A cross-sectional survey. Frontiers in Public Health, 10, Article 895517. https://doi.org/10.3389/fpubh.2022.895517
Pucker, A. D., Kerr, A. M., Sanderson, J., & Lievens, C. (2024). Digital eye strain: Updated perspectives. Clinical Optometry, 16, 233–246. https://doi.org/10.2147/OPTO.S412382
Wolffsohn, J. S., Lingham, G., Downie, L. E., Huntjens, B., Inomata, T., Jivraj, S., Kobia-Acquah, E., Muntz, A., Mohamed-Noriega, K., Plainis, S., Read, M., Sayegh, R. R., Singh, S., Utheim, T. P., & Craig, J. P. (2023). TFOS lifestyle: Impact of the digital environment on the ocular surface. The Ocular Surface, 28, 213–252. https://doi.org/10.1016/j.jtos.2023.04.004
Mataftsi, A., Seliniotaki, A. K., Moutzouri, S., Prousali, E., Darusman, K. R., Adio, A. O., Haidich, A. B., & Nischal, K. K. (2023). Digital eye strain in young screen users: A systematic review. Preventive Medicine, 170, Article 107493. https://doi.org/10.1016/j.ypmed.2023.107493
Coles-Brennan, C., Sulley, A., & Young, G. (2019). Management of digital eye strain. Clinical and Experimental Optometry, 102(1), 18–29. https://doi.org/10.1111/cxo.12798
Lawrenson, J. G., Hull, C. C., & Downie, L. E. (2017). The effect of blue-light blocking spectacle lenses on visual performance, macular health and the sleep-wake cycle: A systematic review of the literature. Ophthalmic and Physiological Optics, 37(6), 644–654. https://doi.org/10.1111/opo.12406
Vera, J., Redondo, B., Ortega-Sanchez, A., Molina-Molina, A., Molina, R., Rosenfield, M., & Jiménez, R. (2023). Blue-blocking filters do not alleviate signs and symptoms of digital eye strain. Clinical and Experimental Optometry, 106(1), 85–90. https://doi.org/10.1080/08164622.2021.2018914
Alves, M., Asbell, P., Dogru, M., Giannaccare, G., Grau, A., Gregory, D., Kim, D. H., Marini, M. C., Ngo, W., Nowinska, A., Saldanha, I. J., Villani, E., Wakamatsu, T. H., Yu, M., & Stapleton, F. (2023). TFOS lifestyle report: Impact of environmental conditions on the ocular surface. The Ocular Surface, 29, 1–52. https://doi.org/10.1016/j.jtos.2023.04.007
Stapleton, F., Abad, J. C., Barabino, S., Burnett, A., Iyer, G., Lekhanont, K., Li, T., Liu, Y., Navas, A., Obinwanne, C. J., Qureshi, R., Roshandel, D., Sahin, A., Shih, K., Tichenor, A., & Jones, L. (2023). TFOS lifestyle: Impact of societal challenges on the ocular surface. The Ocular Surface, 28, 165–199. https://doi.org/10.1016/j.jtos.2023.04.006
Ganne, P., Najeeb, S., Chaitanya, G., Sharma, A., & Krishnappa, N. C. (2021). Digital eye strain epidemic amid COVID-19 pandemic: A cross-sectional survey. Ophthalmic Epidemiology, 28(4), 285–292. https://doi.org/10.1080/09286586.2020.1862243
Sheppard, A. L., & Wolffsohn, J. S. (2018). Digital eye strain: Prevalence, measurement and amelioration. BMJ Open Ophthalmology, 3(1), Article e000146. https://doi.org/10.1136/bmjophth-2018-000146
Behrens, T., Griemsmann, S., Hosbach, I., Wechsler, K., Weber, B., Clarenbach, C., Petersen, J., Neubauer, B., Ellegast, R., & Casjens, S. (2025). Computer vision syndrome before and after the SARS-CoV-2 pandemic: New-symptom onset and workplace setup of visual display terminals. Journal of Occupational and Environmental Medicine, 67(11), 962–969. https://doi.org/10.1097/JOM.0000000000003484
Agarwal, R., Tripathi, A., Khan, I. A., & Agarwal, M. (2022). Effect of increased screen time on eyes during COVID-19 pandemic. Journal of Family Medicine and Primary Care, 11(7), 3642–3647. https://doi.org/10.4103/jfmpc.jfmpc_2219_21
Seresirikachorn, K., Thiamthat, W., Sriyuttagrai, W., Soonthornworasiri, N., Singhanetr, P., Yudtanahiran, N., & Theeramunkong, T. (2022). Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: An online questionnaire study. BMJ Paediatrics Open, 6(1), Article e001429. https://doi.org/10.1136/bmjpo-2022-001429
Al-Mohtaseb, Z., Schachter, S., Shen Lee, B., Garlich, J., & Trattler, W. (2021). The relationship between dry eye disease and digital screen use. Clinical Ophthalmology, 15, 3811–3820. https://doi.org/10.2147/OPTH.S321591
Kahal, F., Al Darra, A., & Torbey, A. (2025). Computer vision syndrome: A comprehensive literature review. Future Science OA, 11(1), Article 2476923. https://doi.org/10.1080/20565623.2025.2476923
Barata, M. J., Aguiar, P., Grzybowski, A., Moreira-Rosário, A., & Lança, C. (2025). A review of digital eye strain: Binocular vision anomalies, ocular surface changes, and the need for objective assessment. Journal of Eye Movement Research, 18(5), Article 39. https://doi.org/10.3390/jemr18050039
Gasheya, K. A., Belay, A. A., Abegaze, T., Zele, Y. T., & Daba, C. (2024). Computer vision syndrome and ergonomic risk factors among workers of the Commercial Bank of Ethiopia in Addis Ababa, Ethiopia: An institutional-based cross-sectional study. Frontiers in Public Health, 12, Article 1341031. https://doi.org/10.3389/fpubh.2024.1341031
Wong, N. A., & Bahmani, H. (2022). A review of the current state of research on artificial blue light safety as it applies to digital devices. Heliyon, 8(8), Article e10282. https://doi.org/10.1016/j.heliyon.2022.e10282
Patni, M. A., Fatima, W., Alshamsi, M. A., Jama, H. A., Shafeeq, M., Rajiv, R., Alsoued, M. S., George, B. T., Salama, R. A. A., Elamin, A. A. E., Pandurangan, T., Bahutair, S. N., & Ahmad, H. (2026). Digital eye health and behavioral determinants of screen use among university students in the UAE. Frontiers in Digital Health, 8, Article 1719475. https://doi.org/10.3389/fdgth.2026.1719475
Singh, S., Downie, L. E., & Anderson, A. J. (2021). Do blue-blocking lenses reduce eye strain from extended screen time? A double-masked randomized controlled trial. American Journal of Ophthalmology, 226, 243–251. https://doi.org/10.1016/j.ajo.2021.02.010
Rosenfield, M., Li, R. T., & Kirsch, N. T. (2020). A double-blind test of blue-blocking filters on symptoms of digital eye strain. Work, 65(2), 343–348. https://doi.org/10.3233/WOR-203086
Rosenfield, M. (2016). Computer vision syndrome (a.k.a. digital eye strain). Optometry in Practice, 17(1), 1–10.
Vera, J., Redondo, B., Ortega-Sanchez, A., Molina-Molina, A., Molina, R., Rosenfield, M., & Jiménez, R. (2023). Blue-blocking filters do not alleviate signs and symptoms of digital eye strain. Clinical and Experimental Optometry, 106(1), 85–90. https://doi.org/10.1080/08164622.2021.2018914
Lian, Y., Lu, W., Huang, H., Wu, G., Xu, A., & Jin, W. (2022). The long-term effect of blue-light blocking spectacle lenses on adults’ contrast perception. Frontiers in Neuroscience, 16, Article 898489. https://doi.org/10.3389/fnins.2022.898489
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 and Experimental Optometry, 102(5), 463–477. https://doi.org/10.1111/cxo.12851
Portello, J. K., Rosenfield, M., Bababekova, Y., Estrada, J. M., & Leon, A. (2012). Computer-related visual symptoms in office workers. Ophthalmic and Physiological Optics, 32(5), 375–382. https://doi.org/10.1111/j.1475-1313.2012.00925.x
Ashwini, D. L., Ve, R. S., Nosch, D., & Wilmot, N. (2021). Efficacy of blink software in improving the blink rate and dry eye symptoms in visual display terminal users: A single-blinded randomized control trial. Indian Journal of Ophthalmology, 69(10), 2643–2648. https://doi.org/10.4103/ijo.IJO_3405_20
Xu, Z., Shen, J., Jiang, M., Wang, Y., Sun, Y., Lu, F., & Hu, L. (2025). A smartphone-based blink training application for alleviating dry eye signs and symptoms. NPJ Digital Medicine, 8(1), Article 703. https://doi.org/10.1038/s41746-025-02053-8
Lin, C. W., Yeh, F. M., Wu, B. W., & Yang, C. H. (2019). The effects of reflected glare and visual field lighting on computer vision syndrome. Clinical and Experimental Optometry, 102(5), 513–520. https://doi.org/10.1111/cxo.12878
Han, L., Zhang, H., Xiang, Z., Shang, J., Anjani, S., Song, Y., & Vink, P. (2021). Desktop lighting for comfortable use of a computer screen. Work, 68(S1), S209–S221. https://doi.org/10.3233/WOR-208018
Benedetto, S., Carbone, A., Drai-Zerbib, V., Pedrotti, M., & Baccino, T. (2014). Effects of luminance and illuminance on visual fatigue and arousal during digital reading. Computers in Human Behavior, 41, 112–119. https://doi.org/10.1016/j.chb.2014.09.023
Zhou, Y., Shi, H., Chen, Q.-W., Ru, T., & Zhou, G. (2021). Investigation of the optimum display luminance of an LCD screen under different ambient illuminances in the evening. Applied Sciences, 11(9), Article 4108. https://doi.org/10.3390/app11094108
Ranasinghe, P., Wathurapatha, W. S., Perera, Y. S., Lamabadusuriya, D. A., Kulatunga, S., Jayawardana, N., & Katulanda, P. (2016). Computer vision syndrome among computer office workers in a developing country: An evaluation of prevalence and risk factors. BMC Research Notes, 9, Article 150. https://doi.org/10.1186/s13104-016-1962-1
Oakman, J., Kinsman, N., Stuckey, R., Graham, M., & Weale, V. (2020). A rapid review of mental and physical health effects of working at home: How do we optimise health? BMC Public Health, 20(1), Article 1825. https://doi.org/10.1186/s12889-020-09875-z
Xiao, Y., Becerik-Gerber, B., Lucas, G., & Roll, S. C. (2021). Impacts of working from home during COVID-19 pandemic on physical and mental well-being of office workstation users. Journal of Occupational and Environmental Medicine, 63(3), 181–190. https://doi.org/10.1097/JOM.0000000000002097
Craig, J. P., Nichols, K. K., Akpek, E. K., Caffery, B., Dua, H. S., Joo, C. K., Liu, Z., Nelson, J. D., Nichols, J. J., Tsubota, K., & Stapleton, F. (2017). TFOS DEWS II definition and classification report. The Ocular Surface, 15(3), 276–283. https://doi.org/10.1016/j.jtos.2017.05.008
Kaercher, T., Thelen, U., Brief, G., Morgan-Warren, R. J., & Leaback, R. (2014). A prospective, multicenter, noninterventional study of Optive Plus® in the treatment of patients with dry eye: The Prolipid study. Clinical Ophthalmology, 8, 1147–1155. https://doi.org/10.2147/OPTH.S58464
Ccami-Bernal, F., Soriano-Moreno, D. R., Romero-Robles, M. A., Barriga-Chambi, F., Tuco, K. G., Castro-Diaz, S. D., Nuñez-Lupaca, J. N., Pacheco-Mendoza, J., Galvez-Olortegui, T., & Benites-Zapata, V. A. (2024). Prevalence of computer vision syndrome: A systematic review and meta-analysis. Journal of Optometry, 17(1), Article 100482. https://doi.org/10.1016/j.optom.2023.100482
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Copyright (c) 2026 Anna Kudłacik, Magdalena Franków, Kornel Adrian Jarosz, Aleksandra Karolina Schmidt, Aleksandra Regina Żmuda, Maria Całusińska-Skowron, Julia Łukasik, Klaudia Jeziorowska, Karolina Bałdys, Oktawian Kaczmarek

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