Prevalence and Determinants of Computer Vision Syndrome Among Healthcare Providers in Al Baha, Saudi Arabia: A Cross-Sectional Study

TL;DR

This study finds that over half of healthcare workers at a Saudi hospital suffer from computer vision syndrome, with eyewear use and job type as key risk factors.

Contribution

Identifies specific occupational and demographic predictors of computer vision syndrome in healthcare providers using logistic regression analysis.

Findings

59.4% of healthcare providers at King Fahad Hospital reported computer vision syndrome symptoms.

Pharmacists had the highest prevalence (84.2%) of computer vision syndrome.

Regular breaks and ergonomic practices were associated with reduced risk of computer vision syndrome.

Abstract

Background

The widespread adoption of digital technology in healthcare settings has led to prolonged screen exposure among healthcare providers, increasing their risk of developing computer vision syndrome (CVS). CVS encompasses a range of ocular and extraocular symptoms that significantly impact well-being and productivity. This study aimed to investigate the prevalence and determinants of CVS among healthcare providers at King Fahad Hospital (KFH) in Al Baha, Saudi Arabia.

Methods

A hospital-based, cross-sectional study was conducted, involving 192 healthcare providers selected through stratified random sampling. After their consent, data were collected using a validated questionnaire assessing CVS symptoms, determinants, and preventive practices. Statistical analysis, including logistic regression, was performed to identify the factors associated with CVS.

Results

The prevalence of CVS was 59.4% (n=114), with pharmacists reporting the highest prevalence (n=16, 84.2%). Significant predictors of CVS included wearing eyeglasses (adjusted odds ratios (aOR)=3.76; 95% confidence interval (CI) 1.66-8.55; p=0.002), computer working time of three to six hours/day (aOR=3.40; 95% CI 1.20-9.67; p = 0.021), being a pharmacist (aOR=7.75; 95% CI 1.22-49.03; p=0.030), and being a nurse/midwife (aOR=3.22; 95% CI 1.01-10.24; p=0.047). Preventive practices, such as always taking regular breaks, were associated with reduced CVS prevalence (aOR=0.11; 95% CI 0.02-0.80; p=0.029). Headache, eye burning, and dryness were the most commonly reported symptoms, while ergonomic practices were inconsistently implemented.

Conclusion

CVS is a prevalent occupational health issue among healthcare providers at KFH, driven by demographic and occupational factors. Effective preventive measures are essential to mitigate the impact of CVS.

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