Glaucoma Detection Study data, KCMC, Tanzania

This assessed a combination of three diagnostic tests to identify glaucoma: (1) Eyecatcher visual field testing, a tablet- or laptop-based eye-tracking system that measures visual field loss; (2) PEEK Contrast Sensitivity testing, a smartphone-based assessment of visual function; and (3) optic disc photography using a portable Remidio fundus camera to capture images of the optic nerve.

Participants enrolled on the study possessed different levels of glaucoma condition, from healthy individuals with no glaucoma to patients with advanced glaucoma, who were recruited at ophthalmology outpatient clinics at the Kilimanjaro Christian Medical Centre (KCMC) in Tanzania. Data from a parallel UK study were also analysed in the study. The dataset contains measurements recorded during this investigation, such as visual acuity (VA), intraocular pressure (IOP), anterior chamber angle grading, perimetry parameters (e.g. mean deviation, MD), as well as novel investigation details including eye-movement perimetry (Eyecatcher) hit rate or score, Remidio fundus camera artificial intelligence grading, and clinician assessment of Remidio fundus photographs (e.g. disc damage likelihood score, DDLS, cup:disc ratio, CDR).