Objective: To identify barriers to compliance with guidelines for diabetic retinopathy screening.
Methods: The population studied included 4410 adults, aged 31 to 64, enrolled in an Independent Practice Association (IPA) plan in Upstate New York, who were diagnosed with diabetes, and their Primary Care Physicians (408 PCPs). Claims data were used to calculate variables characterizing patients and their PCPs. Logistic regression models were estimated to identify factors associated with higher probability of screening.
Results: 34% of patients were screened in 1993. The probability of screening was significantly higher for older patients, for women, for patients who visit their PCPs more often and for those living in areas of higher average education and lower percentage of blacks. However, only 16% of diabetic patients received an annual screen in two consecutive years (1992 and 1993). The probability of consecutive annual screening was significantly associated only with gender and patient expenditures per month.
Conclusion: The very low rate of diabetic retinopathy screening has implications for quality of life of patients with diabetes, long term costs of caring for them and social costs due to lost productivity. Interventions to increase screening rates are needed and should target both patients and their Primary Care Physicians.
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http://dx.doi.org/10.1076/opep.6.1.61.1563 | DOI Listing |
Front Public Health
January 2025
Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Introduction: Diabetic retinopathy grading plays a vital role in the diagnosis and treatment of patients. In practice, this task mainly relies on manual inspection using human visual system. However, the human visual system-based screening process is labor-intensive, time-consuming, and error-prone.
View Article and Find Full Text PDFAm J Ophthalmol Case Rep
March 2025
Department of Ophthalmology, Shinshu University School of Medicine, Japan.
Purpose: To report a case of a diabetic patient undergoing rapid glycemic improvement characterized by the development and resolution of cotton wool spot (CWS), with detailed structural and vascular assessment using wide-field multimodal imaging, including wide-field color fundus photography and wide-field optical coherence tomography angiography (OCTA).
Observations: A 47-year-old man with poorly controlled Type 2 diabetes mellitus developed CWS in his right eye 3 months after initiating insulin therapy, which coincided with a significant reduction in HbA1c levels. Wide-field color fundus photography and wide-field OCTA were performed before, during, and after CWS appeared.
Diabetol Metab Syndr
January 2025
Department of Ophthalmology, Shengli Clinical College of Fujian Medical University; Fuzhou University Affiliated Provincial Hospital, School of Medicine, Fuzhou University, Fuzhou, Fujian, China.
Background: Prior studies on the link between socioeconomic status (SES) and diabetic microvascular complications have been inconclusive. This study aimed to explore whether SES is associated with the risk of diabetic retinopathy (DR), nephropathy (DN) and diabetic peripheral neuropathy (DPN) using large prospective cohort.
Methods: SES was evaluated using education attainment (individual level), household income (household level), and Townsend deprivation index (TDI, neighborhood level).
Mol Neurodegener
January 2025
The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Background: Age is the principal risk factor for neurodegeneration in both the retina and brain. The retina and brain share many biological properties; thus, insights into retinal aging and degeneration may shed light onto similar processes in the brain. Genetic makeup strongly influences susceptibility to age-related retinal disease.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Robotics, Hanyang University, Ansan, 15588, Republic of Korea.
Diabetic retinopathy (DR) presents a significant concern among diabetic patients, often leading to vision impairment or blindness if left untreated. Traditional diagnosis methods are prone to human error, necessitating accurate alternatives. While various computer-aided systems have been developed to assist in DR detection, there remains a need for accurate and efficient methods to classify its stages.
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