Evidence map›Paper›PMID 42866576›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2026

Knowledge Gaps, Primary Care Provider Counselling, and Barriers to Diabetic Retinopathy Screening Among Adults with Diabetes in Syria: A Multicenter Cross-Sectional Study.

Ahmad Al Malla, Ahmad Bishr Nasra, Shahd Almansour, Mohammad Alaa Aldakak, Mohammad Al Saleh, Joudi Alkhateeb, Lama Bashar Salman, Youssef Latifeh

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ahmad Al MallaFaculty of Medicine, Damascus University, Damascus, Syrian Arab Republic.ORCID 0009-0003-5338-6189
Ahmad Bishr NasraFaculty of Medicine, Damascus University, Damascus, Syrian Arab Republic.ORCID 0009-0002-8243-9385
Shahd AlmansourFaculty of Medicine, Homs University, Homs, Syrian Arab Republic.ORCID 0009-0007-2524-5230
Mohammad Alaa AldakakFaculty of Medicine, Damascus University, Damascus, Syrian Arab Republic.ORCID 0009-0003-9600-6326
Mohammad Al SalehFaculty of Medicine, Latakia University, Latakia, Syrian Arab Republic.ORCID 0009-0005-8117-3767
Joudi AlkhateebFaculty of Medicine, Syrian Private University, Damascus, Syrian Arab Republic.
Lama Bashar SalmanFaculty of Medicine, Latakia University, Latakia, Syrian Arab Republic.
Youssef LatifehDepartment of Psychiatry, Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic retinopathy (DR) is a leading cause of preventable vision loss, yet retinal screening remains suboptimal in low-resource settings. This study assessed DR-related knowledge, risk perception, screening practices, and barriers among adults with diabetes attending selected healthcare facilities across multiple Syrian regions. Methods: A multicenter cross-sectional study was conducted from December 2025 to February 2026 in public hospitals in Damascus, Latakia, Homs, and Aleppo. Adults aged ≥18 years with self-reported diabetes were recruited predominantly from diabetes/endocrinology clinics using non-probability sampling. An adapted Arabic questionnaire assessed knowledge (10-item score; adequate ≥6/10), screening, barriers, and provider communication. Bivariate analyses and hierarchical binary logistic regression identified factors associated with adequate knowledge and never screening. Results: Among 375 participants, the mean knowledge score was 5.97 ± 2.40 and 60.0% had adequate knowledge. Only 57.6% recognized the need for screening despite controlled blood glucose. Although 62.9% reported ophthalmology advice, only 40.0% reported formal referral. Overall, 36.3% had never undergone diabetes-related eye screening; leading barriers were lack of clinician recommendation (47.1%) and absence of visual symptoms (39.0%). PCP counselling/advice was associated with higher odds of adequate knowledge (aOR 1.914, 95% CI 1.113-3.292) and lower odds of never screening (aOR 0.267, 95% CI 0.145-0.492). Adequate knowledge was also associated with lower odds of never screening (aOR 0.432, 95% CI 0.259-0.721), with substantial regional differences after adjustment. Conclusions: Among adults with diabetes attending selected public hospital clinics in Syria, moderate overall knowledge coexisted with actionable misconceptions and screening gaps. The findings support evaluating interventions to strengthen patient education, clinician counselling, referral pathways, and equitable access to retinal assessment. Hospital-based non-probability sampling limits generalizability.

Indexed as

diabetic retinopathyhealth knowledgeprimary care counsellingretinal screeningscreening barriersSyria

Identifiers

PMID42866576
PMCPMC13656939

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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.