Glaucoma Detection Study data, KCMC, Tanzania

Thirunavukarasu, AORCID logo; Hu, VORCID logo; Jones, PRORCID logo; Taylor, EORCID logo; Matayan, EORCID logo; Mbishi, S; Macha, E; Mtuy, TORCID logo; Crabb, DORCID logo; Makupa, W; Burton, MJORCID logo and Philippin, HORCID logo (2026). Glaucoma Detection Study data, KCMC, Tanzania. [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00005260.
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The aim of the Glaucoma Detection Study (GDS) was to develop and evaluate a low-cost, portable, and easy-to-use detection system for glaucoma, the leading irreversible cause of blindness worldwide. 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).

Additional Information

Data is made available via controlled access, in accordance with the NIMR data sharing agreement. Data will be made available for use in academic research use, subject to signing of a light-touch access agreement.

Keywords

glaucoma; diagnosis; perimetry; fundus photography; digital health; Artificial intelligence; Mobile health technology

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