Back to Journals » Clinical Optometry » Volume 16

Digital Eye Strain: Updated Perspectives

Authors Pucker AD, Kerr AM, Sanderson J , Lievens C 

Received 28 June 2024

Accepted for publication 12 September 2024

Published 18 September 2024 Volume 2024:16 Pages 233—246

DOI https://doi.org/10.2147/OPTO.S412382

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Mr Simon Berry



Andrew D Pucker,1 Aaron M Kerr,2 Jennifer Sanderson,2 Chris Lievens2

1Clinical and Medical Sciences, Lexitas Pharma Services, Durham, NC, USA; 2Southern College of Optometry, Memphis, TN, USA

Correspondence: Andrew D Pucker, Clinical and Medical Sciences, Lexitas Pharma Services, 5425 Page Road, Suite 410, Durham, NC, 27703, USA, Tel +1 (920)579-2900, Email [email protected]

Purpose: Digital eye strain (DES) is a growing worldwide concern because digital devices are prevalent in both our work and home lives. The purpose of this review was to summarize clinically relevant and evolving key topics related to DES.
Methods: A PubMed.gov search was conducted on or before June 8, 2024. No date restrictions were used during the primary search. The search was aimed at detecting all articles related to DES; thus, the search terms only included “digital eye strain” or “computer vision syndrome”.
Results: The two most used, validated DES questionnaires are the Computer Vision Syndrome Questionnaire (CVS-Q) and Computer Vision Symptom Scale (CVSS17). The world-wide prevalence of DES ranges from 8.2% to 100% depending upon the subjects evaluated and the method used to evaluate them. The most common DES symptoms include headache, eye strain, eye redness, eye itching, tearing, photophobia, burning sensation, blurred vision, eye pain, neck and shoulder pain, and eye dryness. Ocular surface symptoms in DES are integrally tied to decreased blink frequency, which causes ocular surface desiccation, increased osmolarity, and dry eye-like symptoms. The most studied DES-specific treatments are improving subjects’ environment, artificial tears, blinking exercises, and near work breaks.
Conclusion: DES is a highly prevalent condition that should be regularly screened for in clinic with a validated diagnosis instrument. While there are several treatment options, the community’s treatment approach is evolving and primarily focused on treating the visual and dry eye-like symptoms associated with the condition.

Keywords: digital eye strain, computer vision syndrome, prevalence, digital device, symptoms

Introduction

Digital eye strain (DES) was defined in the 2023 Tear Film and Ocular Surface Society (TFOS) Lifestyles Report as “the development or exacerbation of recurrent ocular symptoms and/or signs related specifically to digital device screen viewing”.1 DES has historically been termed computer vision syndrome (CVS), yet the term CVS has lost favor in recent years given that patients use a plethora of digital devices in addition to computers such as smartphones, smartwatches, and tablets.2 Authors have relatedly found that smartphones may be the most frequently used type of digital device.3 DES is a growing worldwide concern because digital devices are now omnipresent in both our work and home lives,1,4 and research suggests that screen time is increasing even more with device use being higher in work from home situations compared to people who even perform hybrid work.5 Digital device use has likewise spiked in school-aged children in recent years because of the educational changes associated with the coronavirus disease (COVID)-19 pandemic.6

Although digital devices have dramatically increased our work efficacy, provided convenience, and introduced new lifesaving technologies, habitual use of digital devices may lead to DES, which negatively impacts the ocular system while also potentially causing musculoskeletal and neurological symptoms.1,4 Many think that DES symptoms have become more prevalent since the start of the COVID-19 pandemic because many people around the world were forced to shelter in place and/or rely more heavily on digital devices to interact with the world.7,8 While the COVID-19 pandemic has subsided and most people have been able to return to a new normal, the increased reliance of digital devices has continued.

Since the beginning of the COVID-19 pandemic, there has been a worldwide explosion in the interest in DES. This is highlighted by a PubMed.gov search conducted on June 8, 2024 (search terms: digital eye strain or computer vision syndrome), which found 395 articles published between the years 1973 and 2019 and 544 articles published in the year 2020 and the roughly 3.5 years after this time point. With the increased interests in DES, increased use of digital devices, and the evolving thought patterns on this important topic, the authors deemed it prudent to review the recent hot topics around DES. Therefore, the purpose of this review was to summarize clinically relevant and evolving key topics related to DES since the beginning of the COVID-19 pandemic, so clinicians have a single, concise reference.

Methods

The authors completed a PubMed.gov search on or before June 8, 2024. No date restrictions were used during the primary search. The search was aimed at detecting all articles related to DES; thus, the search terms only included “digital eye strain” or “computer vision syndrome”. While all articles were reviewed, this article focused on texts published after March of 2020 to give an updated perspective on DES.8 Articles included before this time point were added when a historical perspective was needed. The reference lists of included texts were searched after the primary search to detect other relevant articles. The authors only considered articles written in English and articles aimed at answering clinical questions.

Results

DES-Specific Questionnaires

As the prevalence of DES continues to rise, there has been a demand for dependable and standardized instruments for identifying at-risk individuals, assessing their symptoms, and monitoring disease progression.1 While there have been numerous investigator-developed instruments that lack psychometric backing (Table 1), there have been two DES-specific questionnaires developed to reliably measure the frequency and severity of DES symptoms and diagnose the condition while also affording the ability to track disease progression.

Table 1 Studies Evaluating Symptomatology and Prevalence of Digital Eye Strain

The most used instrument for making a DES diagnosis and to determine the prevalence of DES is the Computer Vision Syndrome Questionnaire (CVS-Q).1,52 The CVS-Q is a tool specifically designed to evaluate symptoms associated with prolonged digital screen use. It was originally developed in 2015 in Spain to measure the visual symptoms of individuals who use video display terminals in the workplace. Rasch analysis was used to development the questionnaire, with the instrument proving to have good psychometric properties. The CVS-Q has a sensitivity and specificity over 70% while also achieving good test-retest repeatability.52 The questionnaire measures the frequency and intensity of 16 symptoms associated with prolonged digital device use. The wide range of symptoms include burning, itching, foreign body sensation, tearing, excessive blinking, eye redness, eye pain, heavy eyelids, dryness, blurred vision, double vision, difficulty focusing for near vision, increased sensitivity to light, colored halos around objects, feeling that vision is worsening, and headache.52 The frequency of each symptom is graded on a 0 to 3 point scale with never, occasionally (sporadic episodes up to once a week), often or always (2 to 3 times per week or almost every day), and very often or always (almost every day), corresponding to scores of 0, 1, or 2, respectively.52 The intensity level of each symptom is graded on a 0 to 2 point scale with not applicable, moderate, and intense corresponding to scores of 0, 1, or 2, respectively.52 The responses from each question are then multiplied (frequency × intensity score), and the sum of each of these products is the overall instrument score. An individual is diagnosed with DES if they have a score of ≥6.52 CVS-Q scores can be further categorized as mild (6–12), moderate (13–18), and severe (19–23).7

The other DES-specific validated instrument is the Computer Vision Symptom Scale (CVSS17). The CVSS17 was developed in 2014 in Spain, and it was described by the developers as an instrument to quantify “vision-related symptoms” associated with digital device use.53 The CVSS17 was developed based upon responses from 636 subjects in their pilot study. The CVSS17 used Rasch analysis to validate the 17-item questionnaire, which measures ocular and visual symptoms associated with prolonged digital screen use.53 During the validation analysis, two subscales were identified: the Internal Symptom Factor (ISF), which includes symptoms such as blurred vision and double vision with possible correlations to accommodative issues, and the External Symptom Factor (ESF), which includes symptoms associated with the ocular surface such as burning, stinging, and dry eyes.54 The ISF and ESG subscales of the CVSS17 reflect the multifactorial nature of DES and its potential impact on overall well-being.54 Scores ranges from 17 to 53, with a higher score indicating more symptoms.53 Scoring of the instrument is performed by comparing the patient’s responses to the response options for each question in the original manuscript.53 The sum of these scores is then taken, multiplied by 17, and divided by the number of valid responses to determine the overall CVSS17 score.53 The CVSS17 is also available in Spanish, English, and Italian and easily accessible at the following website: https://www.cvss17.com/.55

Symptomatology and Prevalence

While the literature contains reports evaluating the symptomatology and prevalence of DES prior to the COVID-19 pandemic,56,57 there has been an explosion of studies related to this topic since the pandemic started (Table 1). This increased interest is in part because the community originally hypothesized that the prevalence and severity of DES would worsen with the increased screen time associated with the COVID-19 pandemic lockdown conditions. This hypothesis has generally rung true with numerous reports finding that digital device usage has increased since the beginning of the pandemic.3,6,10,15,19,31,50 Work from Lotfy also suggests that the frequency of DES has increased since the start of the pandemic.43 The authors specifically determined with their cross-sectional, online survey of college students and staff that the frequency of DES increased from 71.5% before the COVD-19 lockdown to 88.8% after the COVID-19 lockdown. Nevertheless, when Nunes et al used the Convergence Insufficiency Symptoms Survey (CISS) to evaluate visual discomfort, which is non-specific for evaluating DES, the authors found no additional increase in ocular symptoms when comparing subjects who were in pre- and post-pandemic situations.58

When evaluating the prevalence of DES in detail, the literature indicates that the prevalence of DES varies widely based upon the instrument being used and the subjects who are being evaluated (Table 1). When evaluating overall DES prevalence with validated symptoms questionnaires, the prevalence of DES ranges from 8.2% to 95.8% with studies using the CVS-Q, and a single study reported with the CVSS17 the prevalence of DES to be 92.8%. The literature furthermore suggests that when using the CVS-Q to evaluate adults and children, the prevalence of DES ranges from 38.6% to 95.8% and 8.2% to 81.0%, respectively. When using investigator-developed questionnaires, which typically determine a diagnosis of DES when any symptoms are present, the prevalence of DES ranges from 48.2% to 100% (Table 1). While the methodology of these investigator-developed questionnaires varies widely by study, they provide the most value with regards to identifying the most experienced DES symptoms. Also, while the aforementioned publications report a range of prevalences, which may seem confounding, even the lower range of the prevalences suggests that practitioners should be regularly screening all patients for DES.

Subjects commonly know that screen time can have a negative impact on their eyes and induce DES symptoms,3,15,34 and authors have interestingly found that time spent using digital devices has made it more likely that subjects will develop DES.9,18,35,49 While the frequency and symptoms of DES may vary by type of digital device, the authors were unable to find studies that clearly compared different types of digital devices to determine if one type of digital device is more likely to cause DES than another. The most common DES symptoms include headache, eye strain, eye redness, eye itching, tearing, photophobia, burning sensation, blurred vision, eye pain, and eye dryness.3,7–10,13–18,22,27–31,33–37,39–41,43,45,48–51,57 Musculoskeletal-related symptoms such as neck and shoulder pain associated with poor ergonomics are also common.4,59,60 The order of the most frequent symptoms within each study varied, likely because of the questions being asked and the subjects being evaluated. Risk factors for DES include female sex, age, using a digital device >4, 5, or 6 hours/day (study dependent time points), infrequent near work breaks, low digital screen brightness, decreased viewing distances (<20 cm), and dry eye disease.6,8–12,14–16,19,20,22,24,25,28,29,31,38,40,46,47,51,61 Nevertheless, not all studies found sex to be a risk factor,13,30,36 and one study has found male sex to be a risk factor.37 Depression and anxiety have been furthermore directly correlated with DES,21,48 which strongly suggest that DES can negatively impact quality of life. While originally hypothesized to be a risk factor for DES, contact lens use may not be associated with DES.3 Specifically, Meyer et al determined with an investigator-developed survey that contact lens and non-contact lens wearers have similar symptomatology, though contact lens wearers may have less frequent eye strain or eye pain and more frequent dryness symptoms than non-contact lens wearers.44

DES’s Impact on the Ocular Surface

DES encompasses a vast array of ocular and vision-related symptoms as described above. While all symptoms of DES are important to identify and manage, those related to the ocular surface may have a more serious impact and have the potential to lead to dry eye disease (DED) like effects. DED is a multifactorial condition characterized by symptoms of discomfort, visual disturbance, tear film instability, hyperosmolarity, and inflammation that can lead to ocular surface damage.62 While DED and DES have distinctly different etiologies, their ocular sequelae overlap given that the primary effect that DES has on the ocular surface begins with increased tear evaporation leading to a hyperosmotic tear film.15,63,64

It is widely established that digital device usage causes a change in blink patterns.1,59,60,65–67 These changes include decreased blink rates and more incomplete eyelid closure when blinking with the literature supporting more incomplete blinking to be more prevalent in DES and the causes of the majority of DED-related symptoms.68–70 Decreased blink frequency is highlighted by Argilés et al who found that subjects who are in an unstimulated, distance viewing position have a blink frequency of about 16 blinks per minute while subjects who are viewing a tablet blink about 6 times per minute.70 Reduced blinking is specifically a problem because the prolonged inter-blink-interval results in the tear film breaking up before the next blink occurs, which subsequently results in ocular surface desiccation.71 Faster tear film break up times while using digital devices compared to unstimulated viewing have been corroborated by the literature.72 During computer use, the gaze angle is also often increased causing a larger palpebral aperture (eg, eyes more open in up gaze) (Figure 1).70 A larger area of exposed ocular surface increases tear evaporation and the chance that the device user will only partially blink.4,15 Blinking serves as a vital mechanism for ocular surface stability and health.73 Blinking spreads the tear film across the surface of the eye, maintaining ocular hydration, protecting the ocular surface, and assisting in tear drainage.66,74,75 Incomplete blinking leads to inadequate tear film distribution, increased tear film evaporation, ocular surface exposure, and decreased drainage, which disrupts the homeostasis of the tear film and causes poor tear film stability. One study reported that almost 97% of computer users had poor tear film stability.1,76 A loss of homeostasis changes the composition of the tear film leading to hyperosmolarity, which is the core mechanism and hallmark of DED, which can induce dry eye-like sequela.62

Figure 1 Ocular Surface Exposure Variations by Eye Gaze Position.

The tear film’s two layer composition consists of the innermost aqueous-mucin layer and the outermost lipid layer,77 with the lipid layer being able to be further broken down into an external non-polar lipid layer and an inner polar lipid layer.78 Goblet cells, present in the conjunctival epithelium secrete ocular mucins that lubricate the ocular surface and help to maintain a stabilized tear film.79,80 Blinking aids in the distribution of mucins. The primary and most prevalent mucin in the tear film is MUC5AC, and it has been demonstrated that a reduced level of MUC5AC correlated with an increase in ocular discomfort.67 Mucin deficiency has also been associated with a decreased tear break-up time, a known measure of tear film stability.63 The lacrimal glands are responsible for secreting the majority of the aqueous layer of the tear film. The aqueous contains antimicrobial elements as well as soluble mucin and plays an active role in removing foreign substances, lubricating, and safeguarding the ocular surface.79 There is evidence that long-term digital device use is associated with a reduction in the aqueous layer.64,81 Complete blinking is necessary to renew the tear film by spreading tears from the lacrimal glands.62 Meibomian glands, located within the tarsal plate of the eyelids, secrete the majority of the lipids that form the outermost tear film layer, which are vital to reducing tear film evaporation.74,78 Blinking mechanically stimulates the meibomian glands to release lipids.78 Less lipid secretion due to partial blinking leads to excessive tear evaporation.82,83 Without a proper lipid layer, there is also a fall in the rate of tear film clearance and replenishment.15 Reduced tear clearance can lead to an accumulation of inflammatory mediators in the tear prism.62

A hyperosmolar tear film due to excessive evaporation triggers a dangerous inflammatory cascade where additional inflammatory mediators may be released into the tear film.71 This accelerates the cycle and exacerbates damage to the ocular surface.71 Effects may include cellular dehydration, promoting the loss of goblet and epithelial cells. Epithelial cell loss leads to classic dry eye signs such as punctate erosions.62 The decrease in mucin levels from goblet cell loss, and the decrease in lipid levels from the meibomian glands, which can result from chronic ocular surface inflammation, furthers the cycle of evaporation-induced hyperosmolarity, and ultimately DED-like signs and symptoms.62,84 Understanding the relationship that DES and DED share and how the ocular surface can be impacted is essential for early recognition of ocular surface pathology associated with DES. Patient education and timely intervention allows for appropriate treatment and management aimed at safeguarding ocular health and alleviating symptoms that can impact a patient’s quality of life.

Treatments

With DES and DED resulting in similar signs and symptoms given that they both can have an evaporative ocular surface component,62,71 the two conditions have similar treatments. This section will focus on treatments that have been specifically evaluated in the DES space (Figure 2), yet if DED is present, patients should be treated for this disease. While a full description of DED treatments is beyond the scope of this report, a description of how to best treat DED can be found in the 2017 Dry Eye Workshop II Management and Therapy Report.85 Thus, after appropriately conducting a history to establish habitual digital device use and exacerbation of symptoms with digital device use, a stepwise treatment approach should be taken.

Figure 2 Digital Eye Strain Management Suggestions.

First, consider prevention discussions with the patient (eg, decreasing digital device use if possible) or modifying their environment to make the workspace more ergonomic and less affected by wind.46,86,87 Other preventive options can include situating the screen at an angle in alignment with primary gaze to limit inferior ocular surface exposure,70 and antiglare computer screens and adjustment of brightness can significantly decrease DES symptoms.29 The use of occupational glasses while using the computer has shown to be beneficial, as opposed to a standard progressive lens.88 Also, presbyopic patients, while using handheld devices, have shown to be at greater risk for eye strain symptoms secondary to needing an increased add power over their younger counterparts;89,90 thus, an updated spectacle prescription should be given to the patient to ensure optimal visual acuity at all distances. Although blue blocking filters are often requested by patients who have fallen prey to social media ads, recent studies indicate the filters do not aid in reducing DES.91,92

Artificial tears are a next logical treatment for patients with DES given that tear film disruption is a key factor in developing DES.71 While artificial tears are indicated for DED,93 artificial tears have been found effective in treating DES. Artificial tears are classified and categorized under the US FDA’s Ophthalmic Drug Products for Over the Counter Human Use monograph as “topical drops which contain specific types of demulcents or emollients for the treatment of DED or ocular discomfort”.94 Older generation artificial tears were preserved with benzalkonium chloride and thiomersal.95 More recent formulations have now been developed with gentler preservatives (eg, polyquaternium-1) that are more compatible with the ocular surface and are less likely to induce ocular surface irritation.95 Additionally, preservative free artificial tears are an excellent alternative, especially for those advanced cases requiring ≥4 drop applications per day.95 Now, unit-dose and multidose preservative free bottles ensure artificial tears remain contaminant free. Nevertheless, preserved and preservative free comfort drops have been shown to be able to effectively treat DES sufferers.96 As demonstrated by Talens-Estarelles et al, artificial tear have been shown to improve ocular surface signs (bulbar redness; tear break up time) and symptoms (Ocular Surface Disease Index; Dry Eye Questionnaire −5) in DES subjects.97 Work from Pucker et al has also indicated that artificial tear use in digital device users can significantly improve Impact of Dry Eye on Daily Life (IDEEL) Questionnaire Work, Daily Activities, and Feelings domain scores after only two weeks of use.96 Duncan et al has since completed a similar study that supports Pucker et al’s results.96

Blinking is inherently linked to DES given the reduction in blink rate with near tasks.70 With reduced tear breakup times, tear evaporation is increased which leads to a hyperosmolar condition, further exacerbating the issues.71 A recent study found prescribed blinking exercises may also be an effective treatment in reducing symptoms of DED.73 In this study, Kim et al evaluated DED subjects who were asked to complete a blinking exercises.73 The authors specifically had the subjects close their eyes for 2 seconds and then open their eyes. They next had the subjects close their eyes for 2 seconds and then open their eyes again. The subjects then squeezed their eyelids together for 2 seconds and then relaxed their eyes. Subjects repeated this exercise plan every 20 minutes for 4 weeks while awake. The authors ultimately found that the first session of blinking while still in the office significantly increased the subject’s mean tear break up times. Tear break up times further improved by the completion of the study while the subjects also had significant improvement in ocular comfort as measured by the Ocular Surface Disease Index questionnaire.73 Blink training lastly was found to improve incomplete blinks.73

Taking breaks is another common DES preventive measure, which has been associated with improved or less frequent symptoms.20,34,40 The literature furthermore indicates that at least in some populations the 20/20/20 rule is commonly practiced.11,12,15,31 Anshel proposed the 20/20/20 rule in the late 1990s.98,99 The 20/20/20 rule encourages patients to take a break every 20 minutes while looking away from their screen at a distance target 20 feet or more away for about 20 seconds.29 Anshel developed the 20/20/20 rule from his “3-B” strategy (blink, breathe, and take breaks from near tasks) for reducing eye strain.99 While many clinicians teach the 20/20/20 rule literally, Anshel notes that the 20/20/20 rule was only intended as a catchy way to remember his 3-B approach and that there is no scientific backing for this specific guidance.99 Furthermore, recent work has refuted the 20/20/20 rule in its literal sense.100 When evaluating questionnaire-based studies, Huyhua-Gutierrez et al determined that subjects who practiced the 20/20/20 rule were less likely to have DES, though only 13.1% of the subjects evaluated had prior knowledge of this treatment.20 Datta et al likewise evaluated the effectiveness of the 20/20/20 rule in a questionnaire-based study, and they determined that only 8.8% of the subjects included in their study used the 20/20/20 rule as a treatment.101 This same study determined that if subjects practiced the 20/20/20 rule, it did not improve their overall symptoms, though when looking at specific symptoms, the authors found that the 20/20/20 rule may improve burning sensation and headaches.101 Both Huyhua-Gutierrez et al’s and Datta et al’s studies were cross-sectional in nature and likely suffered from selection bias.20,101 Johnson and Rosenfield have since prospectively evaluated how taking 20 second breaks from reading to look at a distant scene at 5-, 10-, 20-, or 40-minutes intervals affected DES symptoms while completing a demanding 40-minute reading task.100 The authors overall found no difference in DES symptoms when comparing the different break intervals.100 Talens et al lastly prospectively evaluated the 20/20/20 rule.102 The authors accomplished their study by loading a 20/20/20 rule reminder program on to their subjects’ computers.102 The program was not enabled during the first 2 weeks of the study, and then the program was turned on for the second 2 weeks of the study.102 The authors overall determined that dry eye symptoms (Ocular Surface Disease Index, Dry Eye Questionnaire-5, and Symptom Assessment Questionnaire iN Dry Eye) significantly improved while practicing the 20/20/20 rule.102 Nevertheless, these improvements in symptoms may not have been clinically meaningfully, and this study failed to find any improvement in DED signs.102–104 Talens et al likewise only tested 20 second break intervals as dictated by the original 20/20/20 rule; thus, the author’s work should be repeated by having groups of subjects who use different break intervals to determine the optimal break period or to determine if an optical break period even exists.

Conclusions

The COVID-19 pandemic sparked a new public and scientific interest in DES.7,8 DES likely affects most digital device users to at least some extent and given that the majority of the developed world habitually uses digital device for both work and play, most of the population is likely at least occasionally touched by this condition.1,4 In fact, many patients know that DES is an issue,3,15,34 though the population still habitually uses digital devices because they have substantial benefits. DES likely affects adults at a greater frequency, though children are also highly susceptible as highlighted in Table 1. DES’s effect on the ocular system has extensive overlap with DED given both conditions typically result in degraded tear films,71 though DES influences visual quality and even the whole body given that DES sufferers frequently complain of symptoms such as neck and backache.4,59,60

While DED treatments may be applicable to DES patients, especially if the condition is habitually bothersome, DES specific treatments that have shown promise include maximizing the patient’s environment by fully correcting their vision and optimizing their screen viewing situation,88–90 artificial tears for treating a dysfunctional tear film,96,97 blinking exercises for promoting tear exchange and renewal,73 and near work breaks to allow the visual system to recover.20,34,40 While all these treatments have shown to significantly improve DES signs and/or symptoms, the specific practice of the 20/20/20 rule lacks scientific backing,99,100 and it is likely not the optimal break frequency given that when different break intervals are compared, they do not result in markedly different treatment outcomes.100 This suggests that more research is needed to refine how we educate our patients about taking breaks.

Acknowledgments

The authors thank the journal for inviting them to complete this review.

Disclosures

The authors have received research support from Abbvie Pharmaceuticals (ADP, CL), Alcon Research, LLC (ADP, CL), Allergan (CL), and Bausch + Lomb (ADP, CL), and they have served as consultants for Bausch + Lomb (ADP, CL), Essilor (CL), HanAll Biopharma (ADP), Luxottica (CL), RVL Pharmaceuticals, Inc (CL), and Transitions (CL). Dr. Pucker is an employee of Lexitas Pharma Services, though this position is unrelated to this work.

Funding

This work was not supported by external funding.

References

1. Wolffsohn JS, Lingham G, Downie LE, et al. TFOS Lifestyle: impact of the digital environment on the ocular surface. Ocul Surf. 2023;28:213–252. doi:10.1016/j.jtos.2023.04.004

2. Abusamak M, Jaber HM, Alrawashdeh HM. The effect of lockdown due to the COVID-19 pandemic on digital eye strain symptoms among the general population: a cross-sectional survey. Front Public Health. 2022;11:1–10.

3. Agarwal R, Tripathi A, Khan IA, Agarwal M. Effect of increased screen time on eyes during COVID-19 pandemic. J Family Med Prim Care. 2022;11(7):3642–3647. doi:10.4103/jfmpc.jfmpc_2219_21

4. Sheppard AL, Wolffsohn JS. Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmol. 2018;3(1):e000146. doi:10.1136/bmjophth-2018-000146

5. Khanwalkar P, Dabir N. Visual ergonomics for changing work environments in the COVID-19 pandemic. Work. 2022;73(s1):S169–S176. doi:10.3233/WOR-211130

6. Aldukhayel A, Baqar SM, Almeathem FK, Alsultan FS, AlHarbi GA. Digital eye strain caused by online education among children in Qassim region, Saudi Arabia: a cross-sectional study. Cureus. 2022;14(4):e23813. doi:10.7759/cureus.23813

7. Alah MA, Abdeen S, Nagah Selim N, AlDahnaim L, Bougmiza I. Computer vision syndrome among students during remote learning periods: harnessing digital solutions for clear vision. Front Public Health. 2023;11:1–8.

8. Sengo DB, da Deolinda Bernardo Pica A, Dos Santos I, et al. Computer vision syndrome and associated factors in university students and teachers in Nampula, Mozambique. BMC Ophthalmol. 2023;23(1):508. doi:10.1186/s12886-023-03253-0

9. Abuallut I, Ajeebi RE, Bahari AY, et al. Prevalence of computer vision syndrome among school-age children during the COVID-19 pandemic, Saudi Arabia: a cross-sectional survey. Children. 2022;9(11):1718. doi:10.3390/children9111718

10. AlHarkan DH, Alazmi AL, Al-Mutairi RH. Prevalence and risk factors of parents perceived digital eye strain syndrome among Saudi students 1 year after online studies: a web-based survey. Middle East Afr J Ophthalmol. 2022;29(3):132–140. doi:10.4103/meajo.meajo_71_22

11. Almalki AM, Alblowi M, Aldosari AM, Khandekar R, Al-Swailem SA. Population perceived eye strain due to digital devices usage during COVID-19 pandemic. Int Ophthalmol. 2023;43(6):1935–1943. doi:10.1007/s10792-022-02593-y

12. Almudhaiyan TM, Aldebasi T, Alakel R, Marghlani L, Aljebreen A, Moazin OM. The prevalence and knowledge of digital eye strain among the undergraduates in Riyadh, Saudi Arabia. Cureus. 2023;15(4):e37081. doi:10.7759/cureus.37081

13. AlQarni AM, AlAbdulKader AM, Alghamdi AN, et al. Prevalence of digital eye strain among university students and its association with virtual learning during the COVID-19 pandemic. Clin Ophthalmol. 2023;17:1755–1768. doi:10.2147/OPTH.S406032

14. Alturaiki HM, Alnajjar JS, Alibrahim IA, et al. Computer vision syndrome among the general population in the eastern region of Libya: prevalence and risk factors. Cureus. 2023;15(11):e48777. doi:10.7759/cureus.48777

15. Bahkir FA, Grandee SS. Impact of the COVID-19 lockdown on digital device-related ocular health. Indian J Ophthalmol. 2020;68(11):2378–2383. doi:10.4103/ijo.IJO_2306_20

16. Canto-Sancho N, Porru S, Casati S, Ronda E, Segui-Crespo M, Carta A. Prevalence and risk factors of computer vision syndrome-assessed in office workers by a validated questionnaire. PeerJ. 2023;11:e14937. doi:10.7717/peerj.14937

17. Chattinnakorn S, Chaicharoenpong K, Pongpirul K. Cross-sectional analyses of factors related to digital eye strain symptoms among children using online learning devices during the COVID-19 pandemic in Thailand. Clin Ophthalmol. 2023;17:1769–1776. doi:10.2147/OPTH.S416877

18. Gammoh Y. Digital eye strain and its risk factors among a university student population in Jordan: a cross-sectional study. Cureus. 2021;13(2):e13575. doi:10.7759/cureus.13575

19. Ganne P, Najeeb S, Chaitanya G, Sharma A, Krishnappa NC. Digital eye strain epidemic amid COVID-19 pandemic - A Cross-sectional survey. Ophthalmic Epidemiol. 2021;28(4):285–292. doi:10.1080/09286586.2020.1862243

20. Huyhua-Gutierrez SC, Zeladita-Huaman JA, Diaz-Manchay RJ, et al. Digital eye strain among Peruvian nursing students: prevalence and associated factors. Int J Environ Res Public Health. 2023;20(6):5067. doi:10.3390/ijerph20065067

21. Issa R, Sfeir M, Azzi V, et al. Association of computer vision syndrome with depression/anxiety among Lebanese young adults: the Mediating Effect of Stress. Healthcare. 2023;11(19):2674. doi:10.3390/healthcare11192674

22. Mohan A, Sen P, Shah C, Jain E, Jain S. Prevalence and risk factor assessment of digital eye strain among children using online e-learning during the COVID-19 pandemic: digital eye strain among kids (DESK study-1). Indian J Ophthalmol. 2021;69(1):140–144. doi:10.4103/ijo.IJO_2535_20

23. Mrayyan MT, Alseid ARH, Ghoolah TS, Al-Shaikh Ali MH, Mrayan M. Investigating the prevalence of computer vision syndrome (CVS) among undergraduate nursing students: a cross-sectional study. SAGE Open Nurs. 2023;9:23779608231191883. doi:10.1177/23779608231191883

24. Sharma A, Satija J, Antil P, Dahiya R, Shekhawat S. Determinants of digital eye strain among university students in a district of India: a cross-sectional study. Z Gesundh Wiss. 2023;1–6. doi:10.1007/s10389-023-01924-2

25. Uwimana A, Ma C, Ma X. Concurrent rising of dry eye and eye strain symptoms among university students during the COVID-19 pandemic era: a cross-sectional study. Risk Manag Healthc Policy. 2022;15:2311–2322. doi:10.2147/RMHP.S388331

26. Vargas Rodriguez LJ, Espitia Lozano N, de la Pena Triana HM, et al. Computer visual syndrome in university students in times of pandemic. Arch Soc Esp Oftalmol. 2023;98(2):72–77. doi:10.1016/j.oftale.2022.08.009

27. Wang C, Joltikov KA, Kravets S, Edward DP. Computer vision syndrome in undergraduate and medical students during the COVID-19 pandemic. Clin Ophthalmol. 2023;17:1087–1096. doi:10.2147/OPTH.S405249

28. Wangsan K, Upaphong P, Assavanopakun P, et al. Self-reported computer vision syndrome among Thai university students in virtual classrooms during the COVID-19 pandemic: prevalence and associated factors. Int J Environ Res Public Health. 2022;19(7):3996. doi:10.3390/ijerph19073996

29. Zayed HAM, Saied SM, Younis EA, Atlam SA. Digital eye strain: prevalence and associated factors among information technology professionals, Egypt. Environ Sci Pollut Res Int. 2021;28(20):25187–25195. doi:10.1007/s11356-021-12454-3

30. Gupta R, Chauhan L, Varshney A. Impact of e-schooling on digital eye strain in coronavirus disease era: a survey of 654 students. J Curr Ophthalmol. 2021;33(2):158–164. doi:10.4103/joco.joco_89_20

31. Alabdulkader B. Effect of digital device use during COVID-19 on digital eye strain. Clin Exp Optom. 2021;104(6):698–704. doi:10.1080/08164622.2021.1878843

32. Alamri A, Alamri MM, Rashid FA, et al. Association between digital device utilization and asthenopia among medical students at King Khalid University. Cureus. 2023;15(9):e45621. doi:10.7759/cureus.45621

33. Alamri A, Amer KA, Aldosari AA, et al. Computer vision syndrome: symptoms, risk factors, and practices. J Family Med Prim Care. 2022;11(9):5110–5115. doi:10.4103/jfmpc.jfmpc_1627_21

34. Basnet A, Pathak SB, Marasini A, Pandit R, Pradhan A. Digital eye strain among adults presenting to tertiary care hospital in the era of COVID-19 pandemic: a descriptive cross-sectional study. JNMA J Nepal Med Assoc. 2022;60(245):22–25. doi:10.31729/jnma.7092

35. Chu GCH, Chan LYL, Do CW, et al. Association between time spent on smartphones and digital eye strain: a 1-year prospective observational study among Hong Kong children and adolescents. Environ Sci Pollut Res Int. 2023;30(20):58428–58435. doi:10.1007/s11356-023-26258-0

36. Das A, Shah S, Adhikari TB, et al. Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal. PLoS One. 2022;17(7):e0268356. doi:10.1371/journal.pone.0268356

37. Demirayak B, Yilmaz Tugan B, Toprak M, Cinik R. Digital eye strain and its associated factors in children during the COVID-19 pandemic. Indian J Ophthalmol. 2022;70(3):988–992. doi:10.4103/ijo.IJO_1920_21

38. Dossari SK, AlZahrani R, Alutaibi H, et al. The effect of online education on healthy eyes of Saudi teachers in the COVID-19 pandemic: a local study. Cureus. 2022;14(5):e24721. doi:10.7759/cureus.24721

39. Gadain Hassan HA. Computer vision syndrome among medical students at the university of Khartoum, Sudan: prevalence and associated factors. Cureus. 2023;15(5):e38762. doi:10.7759/cureus.38762

40. Galindo-Romero C, Rodriguez-Zamora CL, Garcia-Ayuso D, Di Pierdomenico J, Valiente-Soriano FJ. Computer vision syndrome-related symptoms in presbyopic computer workers. Int Ophthalmol. 2023;43(9):3237–3245. doi:10.1007/s10792-023-02724-z

41. Iqbal M, Said O, Ibrahim O, Soliman A. Visual sequelae of computer vision syndrome: a cross-sectional case-control study. J Ophthalmol. 2021;2021:6630286. doi:10.1155/2021/6630286

42. Jain S, Das O, Roy A, Das A. Knowledge, attitude, and practice on digital eye strain during coronavirus disease-2019 lockdown: a comparative study. Oman J Ophthalmol. 2022;15(3):279–283. doi:10.4103/ojo.ojo_135_21

43. Lotfy NM, Shafik HM, Nassief M. Risk factor assessment of digital eye strain during the COVID-19 pandemic: a cross-sectional survey. Med Hypothesis Discov Innov Ophthalmol. 2022;11(3):119–128. doi:10.51329/mehdiophthal1455

44. Meyer D, Rickert M, Kollbaum P. Ocular symptoms associated with digital device use in contact lens and non-contact lens groups. Cont Lens Anterior Eye. 2021;44(1):42–50. doi:10.1016/j.clae.2020.07.007

45. Neena R, Gayathri MS, Prakash N, Anantharaman G. Impact of online classes on eye health of children and young adults in the setting of COVID-19 pandemic: a hospital-based survey. Oman J Ophthalmol. 2023;16(1):45–50. doi:10.4103/ojo.ojo_57_22

46. Regmi A, Suresh J, Asokan R. Changes in work patterns during COVID-19 lockdown and its impact on the eyes and body. Clin Exp Optom. 2023;106(3):331–337. doi:10.1080/08164622.2022.2029682

47. Shin S, Yang EH, Lee HC, Moon SH, Ryoo JH. The relationship between visual display terminal usage at work and symptoms related to computer vision syndrome. Ann Occup Environ Med. 2023;35:e1. doi:10.35371/aoem.2023.35.e1

48. Tsou MT. Influence of prolonged visual display terminal use on physical and mental conditions among health care workers at tertiary hospitals, Taiwan. Int J Environ Res Public Health. 2022;19(7):3770. doi:10.3390/ijerph19073770

49. Turkistani AN, Al-Romaih A, Alrayes MM, Al Ojan A, Al-Issawi W. Computer vision syndrome among Saudi population: an evaluation of prevalence and risk factors. J Family Med Prim Care. 2021;10(6):2313–2318. doi:10.4103/jfmpc.jfmpc_2466_20

50. Wadhwani M, Manika M, Jajoo M, Upadhyay AD. Online survey to assess computer vision syndrome in children due to excessive screen exposure during the COVID 19 pandemic lockdown. J Family Med Prim Care. 2022;11(9):5387–5392. doi:10.4103/jfmpc.jfmpc_1771_21

51. Zenbaba D, Sahiledengle B, Bonsa M, Tekalegn Y, Azanaw J, Kumar Chattu V. Prevalence of computer vision syndrome and associated factors among instructors in Ethiopian universities: a web-based cross-sectional study. Sci World J. 2021;2021:3384332. doi:10.1155/2021/3384332

52. Segui Mdel M, Cabrero-Garcia J, Crespo A, Verdu J, Ronda E. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. J Clin Epidemiol. 2015;68(6):662–673. doi:10.1016/j.jclinepi.2015.01.015

53. Gonzalez-Perez M, Susi R, Antona B, Barrio A, Gonzalez E. The Computer-Vision Symptom Scale (CVSS17): development and initial validation. Invest Ophthalmol Vis Sci. 2014;55(7):4504–4511. doi:10.1167/iovs.13-13818

54. Gonzalez-Perez M, Susi R, Barrio A, Antona B. Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis. PLoS One. 2018;13(8):e0202173. doi:10.1371/journal.pone.0202173

55. Rossi GCM, Bettio F, Gonzalez-Perez M, Briola A, Pasinetti GLM, Scudeller L. The 17-Item Computer Vision Symptom Scale Questionnaire (CVSS17): translation, validation and reliability of the Italian version. Int J Environ Res Public Health. 2022;19(5):2517. doi:10.3390/ijerph19052517

56. Hayes JR, Sheedy JE, Stelmack JA, Heaney CA. Computer use, symptoms, and quality of life. Optom Vis Sci. 2007;84(8):738–744. doi:10.1097/OPX.0b013e31812f7546

57. Portello JK, Rosenfield M, Bababekova Y, Estrada JM, Leon A. Computer-related visual symptoms in office workers. Ophthalmic Physiol Opt. 2012;32(5):375–382. doi:10.1111/j.1475-1313.2012.00925.x

58. Nunes AF, Leitao MA, Nunes AS, Monteiro PL. Eye discomfort at close work in Portuguese university students: a comparative analysis between the pre-COVID and confinement period. Work. 2023;75(2):423–431. doi:10.3233/WOR-220172

59. Kaur K, Gurnani B, Nayak S, et al. Digital eye strain- a comprehensive review. Ophthalmol Ther. 2022;11(5):1655–1680. doi:10.1007/s40123-022-00540-9

60. Portello JK, Rosenfield M, Chu CA. Blink rate, incomplete blinks and computer vision syndrome. Optom Vis Sci. 2013;90(5):482–487. doi:10.1097/OPX.0b013e31828f09a7

61. Artime-Rios E, Suarez-Sanchez A, Sanchez-Lasheras F, Segui-Crespo M. Computer vision syndrome in healthcare workers using video display terminals: an exploration of the risk factors. J Adv Nurs. 2022;78(7):2095–2110. doi:10.1111/jan.15140

62. Craig JP, Nichols KK, Akpek EK, et al. TFOS DEWS II definition and classification report. Ocul Surf. 2017;15(3):276–283. doi:10.1016/j.jtos.2017.05.008

63. Akkaya S, Atakan T, Acikalin B, Aksoy S, Ozkurt Y. Effects of long-term computer use on eye dryness. North Clin Istanb. 2018;5(4):319–322. doi:10.14744/nci.2017.54036

64. Al-Mohtaseb Z, Schachter S, Shen Lee B, Garlich J, Trattler W. The relationship between dry eye disease and digital screen use. Clin Ophthalmol. 2021;15:3811–3820. doi:10.2147/OPTH.S321591

65. Patel S, Henderson R, Bradley L, Galloway B, Hunter L. Effect of visual display unit use on blink rate and tear stability. Optom Vis Sci. 1991;68(11):888–892. doi:10.1097/00006324-199111000-00010

66. Tsubota K. Tear dynamics and dry eye. Prog Retin Eye Res. 1998;17(4):565–596. doi:10.1016/s1350-9462(98)00004-4

67. Uchino Y, Uchino M, Yokoi N, et al. Alteration of tear mucin 5AC in office workers using visual display terminals: the Osaka study. JAMA Ophthalmol. 2014;132(8):985–992. doi:10.1001/jamaophthalmol.2014.1008

68. Chu CA, Rosenfield M, Portello JK. Blink patterns: reading from a computer screen versus hard copy. Optom Vis Sci. 2014;91(3):297–302. doi:10.1097/OPX.0000000000000157

69. Hirota M, Uozato H, Kawamorita T, Shibata Y, Yamamoto S. Effect of incomplete blinking on tear film stability. Optom Vis Sci. 2013;90(7):650–657. doi:10.1097/OPX.0b013e31829962ec

70. Argiles M, Cardona G, Perez-Cabre E, Rodriguez M. Blink rate and incomplete blinks in six different controlled hard-copy and electronic reading conditions. Invest Ophthalmol Vis Sci. 2015;56(11):6679–6685. doi:10.1167/iovs.15-16967

71. Kamoy B, Magno M, Noland ST, et al. Video display terminal use and dry eye: preventive measures and future perspectives. Acta Ophthalmol. 2022;100(7):723–739. doi:10.1111/aos.15105

72. Choi JH, Li Y, Kim SH, et al. The influences of smartphone use on the status of the tear film and ocular surface. PLoS One. 2018;13(10):e0206541. doi:10.1371/journal.pone.0206541

73. Kim AD, Muntz A, Lee J, Wang MTM, Craig JP. Therapeutic benefits of blinking exercises in dry eye disease. Cont Lens Anterior Eye. 2021;44(3):101329. doi:10.1016/j.clae.2020.04.014

74. Dartt DA, Willcox MD. Complexity of the tear film: importance in homeostasis and dysfunction during disease. Exp Eye Res. 2013;117:1–3. doi:10.1016/j.exer.2013.10.008

75. Wang MTM, Tien L, Han A, et al. Impact of blinking on ocular surface and tear film parameters. Ocul Surf. 2018;16(4):424–429. doi:10.1016/j.jtos.2018.06.001

76. Sanchez-Valerio MDR, Mohamed-Noriega K, Zamora-Ginez I, Baez Duarte BG, Vallejo-Ruiz V. Dry eye disease association with computer exposure time among subjects with computer vision syndrome. Clin Ophthalmol. 2020;14:4311–4317. doi:10.2147/OPTH.S252889

77. Willcox MDP, Argueso P, Georgiev GA, et al. TFOS DEWS II tear film report. Ocul Surf. 2017;15(3):366–403. doi:10.1016/j.jtos.2017.03.006

78. Pucker AD, Nichols JJ. Analysis of meibum and tear lipids. Ocul Surf. 2012;10(4):230–250. doi:10.1016/j.jtos.2012.07.004

79. Davidson HJ, Kuonen VJ. The tear film and ocular mucins. Vet Ophthalmol. 2004;7(2):71–77. doi:10.1111/j.1463-5224.2004.00325.x

80. Garcia-Posadas L, Contreras-Ruiz L, Soriano-Romani L, Dartt DA, Diebold Y. Conjunctival goblet cell function: effect of contact lens wear and cytokines. Eye Contact Lens. 2016;42(2):83–90. doi:10.1097/ICL.0000000000000158

81. Nakamura S, Kinoshita S, Yokoi N, et al. Lacrimal hypofunction as a new mechanism of dry eye in visual display terminal users. PLoS One. 2010;5(6):e11119. doi:10.1371/journal.pone.0011119

82. Foulks GN. The correlation between the tear film lipid layer and dry eye disease. Surv Ophthalmol. 2007;52(4):369–374. [doi:S0039-6257(07)00057-4 [pii] 10.1016/j.survophthal.2007.04.009]. doi:10.1016/j.survophthal.2007.04.009

83. 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

84. Duan H, Yang T, Zhou Y, et al. Comparison of mucin levels at the ocular surface of visual display terminal users with and without dry eye disease. BMC Ophthalmol. 2023;23(1):189. doi:10.1186/s12886-023-02931-3

85. Jones L, Downie LE, Korb D, et al. TFOS DEWS II management and therapy report. Ocul Surf. 2017;15(3):575–628. doi:10.1016/j.jtos.2017.05.006

86. Donthineni PR, Shanbhag SS, Basu S. An evidence-based strategic approach to prevention and treatment of dry eye disease, a modern global epidemic. Healthcare. 2021;9(1). doi:10.3390/healthcare9010089

87. Stapleton F, Alves M, Bunya VY, et al. TFOS DEWS II epidemiology report. Ocul Surf. 2017;15(3):334–365. doi:10.1016/j.jtos.2017.05.003

88. Sanchez-Brau M, Domenech-Amigot B, Brocal-Fernandez F, Segui-Crespo M. Computer vision syndrome in presbyopic digital device workers and progressive lens design. Ophthalmic Physiol Opt. 2021;41(4):922–931. doi:10.1111/opo.12832

89. Mylona I, Glynatsis MN, Floros GD, Kandarakis S. Spotlight on digital eye strain. Clin Optom. 2023;15:29–36. doi:10.2147/OPTO.S389114

90. Mylona I, Floros GD. Correction of presbyopia alone does not adequately protect against digital eye strain from handheld devices. Optom Vis Sci. 2022;99(10):758–762. doi:10.1097/OPX.0000000000001938

91. Vera J, Redondo B, Ortega-Sanchez A, et al. Blue-blocking filters do not alleviate signs and symptoms of digital eye strain. Clin Exp Optom. 2023;106(1):85–90. doi:10.1080/08164622.2021.2018914

92. Rosenfield M, Li RT, Kirsch NT. A double-blind test of blue-blocking filters on symptoms of digital eye strain. Work. 2020;65(2):343–348. doi:10.3233/WOR-203086

93. Pucker AD, Ng SM, Nichols JJ. Over the counter (OTC) artificial tear drops for dry eye syndrome. Cochrane Database Syst Rev. 2016;2:CD009729. doi:10.1002/14651858.CD009729.pub2

94. Food and Drug Administration. PART 349 - OPHTHALMIC DRUG PRODUCTS FOR OVER-THE-COUNTER HUMAN USE; 2022.Available from: https://www.ecfr.gov/current/title-21/chapter-I/subchapter-D/part-349. Accessed Oct 317, 2022.

95. Bradley CS, Sicks LA, Pucker AD. Common ophthalmic preservatives in soft contact lens care products: benefits, complications, and a comparison to non-preserved solutions. Clin Optom. 2021;13:271–285. doi:10.2147/OPTO.S235679

96. Pucker AD, Lievens C, McGwin Jr G Jr, Franklin QX, Logan A, Wolfe GS. Quality of life in digital device users who are treated with Systane Hydration PF. Clin Optom. 2023;15:45–54. doi:10.2147/OPTO.S398496

97. Talens-Estarelles C, Garcia-Marques JV, Cervino A, Garcia-Lazaro S. Digital display use and contact lens wear: effects on dry eye signs and symptoms. Ophthalmic Physiol Opt. 2022;42(4):797–806. doi:10.1111/opo.12987

98. Anshel JR. Visual ergonomics in the workplace. AAOHN J. 2007;55(10):414–20;quiz421–2. doi:10.1177/216507990705501004

99. Anshel J. Letter to the editor: 20-20-20 rule: are these numbers justified? Optom Vis Sci. 2023;100(4):296. doi:10.1097/OPX.0000000000002006

100. Johnson S, Rosenfield M. 20-20-20 rule: are these numbers justified? Optom Vis Sci. 2023;100(1):52–56. doi:10.1097/OPX.0000000000001971

101. Datta S, Sehgal S, Bhattacharya B, Satgunam PN. The 20/20/20 rule: practicing pattern and associations with asthenopic symptoms. Indian J Ophthalmol. 2023;71(5):2071–2075. doi:10.4103/ijo.IJO_2056_22

102. Talens-Estarelles C, Cervino A, Garcia-Lazaro S, Fogelton A, Sheppard A, Wolffsohn JS. The effects of breaks on digital eye strain, dry eye and binocular vision: testing the 20-20-20 rule. Cont Lens Anterior Eye. 2023;46(2):101744. doi:10.1016/j.clae.2022.101744

103. Miller KL, Walt JG, Mink DR, et al. Minimal clinically important difference for the ocular surface disease index. Arch Ophthalmol. 2010;128(1):94–101. doi:10.1001/archophthalmol.2009.356

104. Papas EB, Keay L, Golebiowski B. Estimating a just-noticeable difference for ocular comfort in contact lens wearers. Invest Ophthalmol Vis Sci. 2011;52(7):4390–4394. doi:10.1167/iovs.10-7051

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