Evidence map›Paper›PMID 42205654›Full record

ArticleCureus2026

Diabetic Retinopathy Screening: Predictors and Barriers Among Patients With Diabetes Mellitus in South-West Nigeria.

Adetunji O Adenekan, Adegboyega S Alabi, Funmi Mayaki, Olubanke T Ilo, Gafar A Yusuf, Olufisayo T Aribaba

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Adetunji O AdenekanOphthalmology, Lagos University Teaching Hospital, Lagos, NGA.
Adegboyega S AlabiOphthalmology, Lagos University Teaching Hospital, Lagos, NGA.
Funmi MayakiOphthalmology, General Hospital Ijede, Lagos State Health Service Commission, Lagos, NGA.
Olubanke T IloOphthalmology, College of Medicine, University of Lagos, Lagos, NGA.
Gafar A YusufOphthalmology, Forever Vision Eye Center, Lagos, NGA.
Olufisayo T AribabaOphthalmology, Lagos University Teaching Hospital, Lagos, NGA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) remains a leading cause of preventable visual impairment globally, particularly in low- and middle-income countries where structured screening programs are limited. This study assessed the uptake of DR screening, identified predictors of attendance, and explored barriers among adults with diabetes mellitus (DM) attending public secondary healthcare facilities in Lagos State, Nigeria.

methodsA hospital-based cross-sectional study was conducted among 288 adults with confirmed diabetes using a systematic sampling approach. Data were collected using an interviewer-administered questionnaire assessing sociodemographic, clinical, knowledge, and screening characteristics. Retinal examination was performed to determine DR status. Bivariate analyses were conducted using chi-square tests, and multivariate logistic regression identified independent predictors of screening uptake. In-depth interviews with four physicians and eight patients were analyzed thematically to contextualize quantitative findings.

resultsThe mean age was 60.4 ± 10.8 years, and 185 (64.2%) were female. Overall, 106 participants (36.8%) reported prior DR screening, while 182 (63.2%) had never been screened. On examination, 85 (29.5%) had DR, including 77 (26.7%) with non-proliferative DR and 3 (1.0%) with proliferative DR. Among never-screened participants, lack of physician referral (166; 91.2%), lack of health insurance (163; 89.6%), and poor awareness (159; 87.4%) were common barriers. Screening uptake was significantly associated with occupation (p = 0.003), duration of diabetes (p = 0.006), previous eye intervention (p < 0.001), good knowledge of DR (p < 0.001), and awareness that diabetes affects the eye (p < 0.001). In multivariate analysis, physician referral was the strongest independent predictor of screening (adjusted odds ratio (AOR) 15.93; 95% CI 4.70-54.07; p < 0.001), followed by good knowledge of DR (AOR 3.73; 95% CI 1.66-8.39; p = 0.002), previous eye intervention (AOR 3.99; 95% CI 1.66-9.57; p = 0.002), and diabetes duration >5 years (AOR 1.94; 95% CI 1.02-3.70; p = 0.043). Qualitative findings revealed symptom-driven referral practices and limited awareness of screening guidelines.

conclusionDR screening uptake remains suboptimal in this setting, with provider referral and patient knowledge emerging as critical determinants. Strengthening guideline-based referral systems and structured patient education within diabetes clinics may substantially improve early detection and prevent avoidable blindness.

Indexed as

diabetes mellitusdiabetic retinopathy screeningnoncommunicable diseasespatient knowledgephysician referralretinal examinationscreening barriersscreening uptake

Identifiers

PMID42205654
PMCPMC13210661

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.