ArticleJournal of public health in Africa2025
Screening for diabetic retinopathy at a health centre in South Africa: A cross-sectional study.
Article in Journal of public health in Africa, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diabetic retinopathy in Sub-Saharan Africa: prevalence and regional variations from a systematic review and meta-analysis.BMC ophthalmology · 2025Pooled it
- Knowledge, attitudes and practices regarding prevention of diabetic eye complications among people living with diabetes in Limpopo province of South Africa: A cross-sectional study.African journal of primary health care & family medicine · 2026Article
- AI-Assisted Screening for Diabetic Retinopathy and Fundus Abnormalities in a Large-Scale Physical Examination Population.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In South Africa, screening for diabetic retinopathy (DR) is non-existent at the primary healthcare (PHC) level because of the absence of a screening programme. This leads to preventable vision loss. Aim: To describe the clinical characteristics and outcomes of eye screenings and subsequent referrals. Setting: Laudium Community Health Centre (CHC), a PHC facility in Tshwane. Methods: We conducted a cross-sectional study from February 2022 to August 2022. Individuals with diabetes were screened for eye complications using visual acuity testing, intraocular pressure measurement, and fundoscopy with a non-mydriatic digital fundus camera. Fundus images were analysed by an optometrist and an artificial intelligence (AI) programme. Demographic and clinical data were collected. Results: A total of 120 participants were included, with the majority (60.7%) from Laudium CHC. Most participants (64.2%) were on oral agents, and 66.7% were women. The mean haemoglobin A1c (HbA1c) was 8.3%, with a median diabetes duration of 8 years. Artificial intelligence detected more glaucoma cases (17.5% vs 9.2%) and DR (23.3% vs 15.8%) compared to the optometrist. In contrast, the optometrist identified more cases of macula pathology (29.2% vs 19.2%). Participants ( Conclusion: The study revealed that while DR was not highly prevalent among PHC patients with diabetes, there was a significant referral rate for other ocular complications. Artificial intelligence can enhance early detection and improve efficiency. Contribution: The findings underscore the need to integrate diabetes eye screening programmes into PHC services for people living with diabetes.
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