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Effective management of dry eye and ocular surface disease

Experts recommend a consistent approach to diagnosis, therapeutic targeting by disease subtype and escalation of therapy when tear substitutes are not sufficient. Experts call for a consistent, unified approach to diagnosis of dry eye disease (DED), with a new simple...

Spotlight: The Community Eye Health Journal

In many low-income settings, where vision loss is greatest, eyecare is hampered by shortages in trained health workers. In sub-Saharan Africa, there are fewer than five ophthalmologists per million population, compared to over 70 per million in high-income countries. Eyecare...

Exploiting nature’s randomised trials of eye disease

Confounding and reverse causation in observational ophthalmic epidemiology Traditional observational studies are inherently limited in establishing a causal effect of an exposure on an outcome of interest. One fundamental limitation is confounding, whereby causation is incorrectly attributed to a third...

Glaucoma care provision using a multidisciplinary approach: a personal view

This article is going to explain the secret to running an efficient multidisciplinary glaucoma service which will comfortably meet the demands of an ever-growing elderly population, within the confines of budgetary and clinical constraints, wherever the setting. This may be...

How to get the most out of your ophthalmology elective

If you are in your penultimate year (or even earlier) and have already decided that you want to do ophthalmology, good for you! Ophthalmology is one of the most competitive specialties, and one of the easiest ways to demonstrate your...

Considerations in the management of retinal disorders

Vision research presentations and publications explore practice considerations in the management of AMD and diabetic retinopathy. Over the past two decades in Europe there has been a decreasing prevalence of age-related macular degeneration (AMD) and an improvement in visual acuity...

Artificial intelligence in eyecare: how do we ensure new technologies truly benefit our patients?

From monitoring patients with heart disease to improving the early diagnosis of cancer, artificial intelligence (AI) using deep learning techniques is already employed in many different healthcare specialties [1]. In the eyecare field, AI technologies have been used to analyse...