• Joel E Chasan, Bill Delaune, April Y Maa, and Mary G Lynch.
• Department of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia.
• JAMA Ophthalmol. 2014 Sep 1;132(9):1045-51.

ImportanceTelemedicine is a useful clinical method to extend health care to patients with limited access. Minimal information exists on the subsequent effect of telemedicine activities on eye care resources.ObjectiveTo evaluate the effect of a community-based diabetic teleretinal screening program on eye care use and resources.Design, Setting, And ParticipantsThe current study was a retrospective medical record review of patients who underwent diabetic teleretinal screening in the community-based clinics of the Atlanta Veterans Affairs Medical Center from October 1, 2008, through March 31, 2009, and who were referred for an ophthalmic examination in the eye clinic.ExposuresClinical medical records were reviewed for a 2-year period after patients were referred from teleretinal screening. The following information was collected for analysis: patient demographics, referral and confirmatory diagnoses, ophthalmology clinic visits, diagnostic procedures, surgical procedures, medications, and spectacle prescriptions.Main Outcomes And MeasuresThe accuracy between referring and final diagnoses and the eye care resources that were used in the care of referred patients.ResultsThe most common referral diagnoses were nonmacular diabetic retinopathy (43.2%), nerve-related disease (30.8%), lens or media opacity (19.1%), age-related macular degeneration (12.9%), and diabetic macular edema (5.6%). The percentage of agreement among these 5 visually significant diagnoses was 90.4%, with a total sensitivity of 73.6%. Diabetic macular edema required the greatest number of ophthalmology clinic visits, diagnostic tests, and surgical procedures. Using Medicare cost data estimates, the mean cost incurred during a 2-year period per patient seen in the eye clinic was approximately $1000.Conclusions And RelevanceAlthough a teleretinal screening program can be accurate and sensitive for multiple visually significant diagnoses, measurable resource burdens should be anticipated to adequately prepare for the associated increase in clinical care.

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