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Diabetic Retinopathy Assessment Variability Among Eye Care Providers in an Urban Teleophthalmology Program
Yao Liu1, Victoria P Rajamanickam2, Ravi S Parikh3
11 Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health , Madison, Wisconsin.
Background:
Teleophthalmology is an evidence-based method for diabetic eye screening. It is unclear whether the type of eye care provider performing teleophthalmology interpretation produces significant variability.
Introduction:
We assessed grading variability between an optometrist, general ophthalmologist, and retinal specialist using images from an urban, diabetic retinopathy teleophthalmology program.
Methods:
Three readers evaluated digital retinal images in 100 cases (178 eyes from 90 patients with type 2 diabetes). Fisher's exact test, percent agreement, and the observed proportion of positive (Ppos) or negative agreement (Pneg) were used to assess variability.
Results:
Among cases deemed gradable by all three readers (n = 65), there was substantial agreement on absence of any retinopathy (88% ± 4.6%, Pneg = 0.91-0.95), presence of moderate nonproliferative or worse retinopathy (87% ± 3.9%, Ppos = 0.67-1.00), and presence of macular edema (99% ± 0.9%, Ppos = 0.67-1.00). There was limited agreement regarding presence of referable nondiabetic eye pathology (61% ± 11%, Ppos = 0.21-0.59) and early, nonroutine referral for a follow-up clinical eye exam (66% ± 8.1%, Ppos = 0.19-0.54). Among all cases (n = 100), there was acceptable agreement regarding which had gradable images (77% ± 5.0%, Ppos = 0.50-0.90).
Discussion:
Inclusion of multiple types of eye care providers as teleophthalmology readers is unlikely to produce significant variability in the assessment of diabetic retinopathy among high-quality images. Greater variability was found regarding image gradability, nondiabetic eye pathology, and recommended clinical referral times.
Conclusions:
Our results suggest that more extensive training and uniform referral standards are needed to improve consensus on image gradability, referable nondiabetic eye pathology, and recommended clinical referral times.
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