Cross-sectional study identifies computer vision syndrome prevalence and ergonomic risks in administrative healthcare workers, highlighting the need for interventions.
Objectives Computer vision syndrome (CVS) is increasingly recognised as an occupational health issue in workplaces with heavy digital use. Although there is ample evidence among IT professionals and students, data on administrative staff in public healthcare is scarce. This research aimed to determine the prevalence of computer vision syndrome and identify related factors among administrative workers in public healthcare facilities on Malaysia’s east coast. Methods A cross-sectional study involving 370 administrative workers from six government healthcare institutions was carried out using multistage random sampling. Data collection included a validated Computer Vision Syndrome Questionnaire and ergonomic assessments. Multiple logistic regression and mixed-effects logistic regression analyses were used to determine independent predictors of computer vision syndrome. Results The prevalence among participants was 59.7%. Key independent predictors included being female (adjusted odds ratio = 2.05; 95% confidence interval 1.21–3.46), poor horizontal eye level positioning (adjusted odds ratio = 2.27; 95% confidence interval 1.40–3.70), and wearing corrective glasses (adjusted odds ratio = 1.84; 95% confidence interval 1.13–2.99). Conclusion CVS was common among administrative workers in public healthcare facilities in the east-coast state of Malaysia. Modifiable ergonomic factors, especially incorrect screen positioning, greatly raised the risk. These results emphasise the importance of workplace ergonomic interventions and regular visual health checks to reduce digital eye strain and enhance occupational health in settings with extensive computer use.
No takes yet. Share an insight, caveat, or question.
Sezali et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: