- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07707908
Digital Eye Strain in Online Learning and Remote Work Environments: A Systematic Review (DES-OLRW)
Digital Eye Strain in Online Learning and Remote Work Environments: Prevalence, Risk Factors, and Management Strategies-A Systematic Review
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Digital eye strain (DES), also known as computer vision syndrome, has become an increasingly important public health concern due to the widespread use of digital devices in education and the workplace. The rapid expansion of online learning and remote work, particularly following the COVID-19 pandemic, has substantially increased daily screen exposure among students and employees, leading to a higher prevalence of visual and ocular symptoms.
DES encompasses a range of symptoms including eye fatigue, dryness, burning sensation, blurred vision, headache, diplopia, neck pain, and shoulder discomfort. These symptoms result from multiple interacting factors, including prolonged accommodation, decreased blink rate, tear film instability, poor ergonomics, improper viewing distance, glare, inadequate lighting, and prolonged uninterrupted screen use. The condition may adversely affect quality of life, academic performance, workplace productivity, and overall well-being.
The objective of this systematic review was to synthesize the current evidence regarding the prevalence of digital eye strain among individuals participating in online learning and remote work, identify associated risk factors, and evaluate available preventive and therapeutic management strategies.
The review included observational studies (cross-sectional, cohort, and case-control) and interventional studies involving online learners or remote workers published in English from January 2020 onward. Studies were identified through comprehensive searches of PubMed/MEDLINE, Scopus, Web of Science, Embase, Cochrane Library, and Google Scholar. Two independent reviewers screened titles, abstracts, and full-text articles according to predefined eligibility criteria, extracted study data, and assessed methodological quality using the Joanna Briggs Institute Critical Appraisal Checklists for observational studies and the Cochrane Risk of Bias 2 tool for interventional studies.
Extracted data included study characteristics, participant demographics, sample size, duration of screen exposure, methods used to assess digital eye strain, prevalence estimates, identified risk factors, evaluated interventions, and principal findings. A narrative synthesis summarized the available evidence, while quantitative meta-analysis using a random-effects model was planned when sufficient homogeneous data were available. Statistical heterogeneity was assessed using Cochran's Q test and the I² statistic.
The findings of this review are expected to provide a comprehensive synthesis of the current literature, identify modifiable risk factors, summarize evidence-based preventive and therapeutic approaches, and support recommendations for educational institutions, employers, healthcare professionals, and policy makers aimed at reducing the burden of digital eye strain among digital device users.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Benha
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Banhā, Benha, Egypt, 13111
- Benha University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Published observational studies (cross-sectional, cohort, or case-control) and interventional studies.
- Studies involving individuals participating in online learning or remote work.
- Studies reporting the prevalence, risk factors, severity, or management of digital eye strain (computer vision syndrome).
- Studies published in English.
- Publications from January 2020 onward.
- Full-text articles available for review.
Exclusion Criteria:
- Case reports and case series.
- Editorials, commentaries, letters, conference abstracts, and narrative reviews.
- Studies unrelated to online learning or remote work.
- Animal or laboratory studies.
- Duplicate publications.
- Studies with insufficient data for extraction.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Published Studies on Digital Eye Strain
This cohort consists of published observational and interventional studies included in a systematic review evaluating the prevalence, risk factors, and management strategies for digital eye strain among individuals engaged in online learning and remote work.
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Systematic identification, selection, appraisal, and synthesis of published studies evaluating digital eye strain in online learning and remote work environments.
No intervention was administered directly to participants.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Proportion of Participants with Digital Eye Strain
Time Frame: Baseline
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To estimate the pooled prevalence of digital eye strain among individuals engaged in online learning and remote work using data extracted from eligible published studies included in the systematic review and meta-analysis.
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Baseline
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- Ophth_110_2025_DES_SR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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