Literature DB >> 26230276

Assessment of diabetic teleretinal imaging program at the Portland Department of Veterans Affairs Medical Center.

Grace L Tsan1, Keely L Hoban, Weon Jun, Kevin J Riedel, Amy L Pedersen, John Hayes.   

Abstract

We conducted a retrospective chart review of 200 diabetic patients who had teleretinal imaging performed between January 1, 2010, and January 1, 2011, at Portland Department of Veterans Affairs (VA) Medical Center outpatient clinics to assess the effectiveness of the diabetic teleretinal imaging program. Twenty patients (10%) had diabetic retinopathy. Ninety percent of the available teleretinal imaging studies were of adequate quality for interpretation. In accordance with local VA policy at that time, all teleretinal imaging patients should have been referred for a dilated retinal examination the following year. Image readers referred 97.5% of the patients to eye clinics for subsequent eye examinations, but the imagers scheduled appointments for only 80% of these patients. The redundancy rate, i.e., patients who had an eye examination within the past 6 mo, was 11%; the duplicate recall rate, i.e., patients who had a second teleretinal imaging performed within 1 yr of the eye examination, was 37%. Rates of timely diabetic eye examinations at clinics with teleretinal imaging programs, particularly when teleretinal imaging and eye clinics were colocated at the same community-based outpatient clinic, were higher than those without a teleretinal imaging program. We concluded that the Portland VA Medical Center's teleretinal imaging program was successful in increasing the screening rate for diabetic retinopathy.

Entities:  

Keywords:  diabetes mellitus; diabetic retinal examination; diabetic retinopathy; dilated eye examination; outpatient clinic; primary care; screening; telehealth; teleretinal imaging; teleretinal imaging program

Mesh:

Year:  2015        PMID: 26230276     DOI: 10.1682/JRRD.2014.03.0077

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  3 in total

1.  Detection of anaemia from retinal fundus images via deep learning.

Authors:  Yun Liu; Avinash V Varadarajan; Akinori Mitani; Abigail Huang; Subhashini Venugopalan; Greg S Corrado; Lily Peng; Dale R Webster; Naama Hammel
Journal:  Nat Biomed Eng       Date:  2019-12-23       Impact factor: 25.671

2.  Automated Reminders Improve Retinal Screening Rates in Low Income, Minority Patients with Diabetes and Correct the African American Disparity.

Authors:  Christina Mehranbod; Pauline Genter; Lilian Serpas; Johana Macias; David Campa; David Bermon; Eli Ipp
Journal:  J Med Syst       Date:  2019-12-09       Impact factor: 4.460

3.  Association Between Virtual Care Use and Same-Day Primary Care Access in VA Primary Care-Mental Health Integration.

Authors:  Taona P Haderlein; Aram Dobalian; Pushpa V Raja; Claudia Der-Martirosian
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec
  3 in total

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