Literature DB >> 14740799

Use of telemedicine in screening for diabetic retinopathy.

Johanna Choremis1, David R Chow.   

Abstract

BACKGROUND: A diabetic retinopathy screening program was introduced in September 2000 at a university-affiliated hospital in Montreal to meet the demands of an overburdened health care system. In this article we describe our initial experience with this program.
METHODS: A Canon CR6-45NM nonmydriatic 45 degrees camera was installed in the outpatient endocrinology clinic of the hospital. All patients who visited the clinic between September 2000 and January 2001 agreed to participate in the program. For each patient, a short questionnaire (age, sex, type of diabetes mellitus, time since diagnosis, prior retinal laser therapy and presence of end-organ involvement) was filled in. Subsequently at least two photographs were obtained of each eye. The photographs were sent via the hospital intranet to a retinal specialist within the hospital. The specialist reviewed the images unchanged and sent a report (grading of the level of diabetic retinopathy, presence or absence of macular hard exudates, quality of the images obtained and follow-up recommendations) via the hospital intranet to the endocrinology service. If the images were judged to be of poor quality and could not be read by the retina specialist, the patient was asked to see his or her regular ophthalmologist.
RESULTS: Images of 830 eyes of 415 patients (211 men and 204 women with a mean age of 57.5 years) were obtained. Most (83.6%) had type 2 diabetes. The average duration of disease was 13.3 years. Macular hard exudates were observed in 50 eyes (6.0%). Nonproliferative diabetic retinopathy was noted in 117 eyes (14.1%) and proliferative diabetic retinopathy in 15 eyes (1.8%). Unexpected findings included epiretinal membranes (in three eyes), macular holes (in two), bilateral cotton-wool spots (in one patient) and central retinal vein occlusion (in one eye). Overall, 10% of the patients were referred to a retina specialist based on the screening photographs. The main difficulty encountered with the screening program was image inconsistency. Overall, 35% of the images graded were felt to be of poor quality, the most common reason being poor exposure (84.4%). The quality of the images improved significantly over the study period (p < 0.01). Images obtained from patients aged 65 years or more were consistently poorer than those obtained from patients less than 65 years of age (p < 0.001).
INTERPRETATION: Despite the imperfections of such a system, our experience was favourable, allowing us to screen large numbers of patients in a cost-effective, reliable manner.

Entities:  

Mesh:

Year:  2003        PMID: 14740799     DOI: 10.1016/s0008-4182(03)80111-4

Source DB:  PubMed          Journal:  Can J Ophthalmol        ISSN: 0008-4182            Impact factor:   1.882


  11 in total

1.  Information technology as a tool to improve the quality of American Indian health care.

Authors:  Thomas D Sequist; Theresa Cullen; John Z Ayanian
Journal:  Am J Public Health       Date:  2005-10-27       Impact factor: 9.308

2.  Long-term Comparative Effectiveness of Telemedicine in Providing Diabetic Retinopathy Screening Examinations: A Randomized Clinical Trial.

Authors:  Steven L Mansberger; Christina Sheppler; Gordon Barker; Stuart K Gardiner; Shaban Demirel; Kathleen Wooten; Thomas M Becker
Journal:  JAMA Ophthalmol       Date:  2015-05       Impact factor: 7.389

Review 3.  Clinical Components of Telemedicine Programs for Diabetic Retinopathy.

Authors:  Mark B Horton; Paolo S Silva; Jerry D Cavallerano; Lloyd Paul Aiello
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

4.  Comparison of Telemedicine Screening of Diabetic Retinopathy by Mydriatic Smartphone-Based vs Nonmydriatic Tabletop Camera-Based Fundus Imaging.

Authors:  Yong Seok Han; Mythili Pathipati; Carolyn Pan; Loh-Shan Leung; Mark Scott Blumenkranz; David Myung; Brian Chiwing Toy
Journal:  J Vitreoretin Dis       Date:  2020-10-05

5.  Diabetic Retinopathy: Focus on Minority Populations.

Authors:  Arpine Barsegian; Boleslav Kotlyar; Justin Lee; Moro O Salifu; Samy I McFarlane
Journal:  Int J Clin Endocrinol Metab       Date:  2017-11-11

6.  Diabetic retinopathy and peripapillary retinal thickness.

Authors:  Hee Yoon Cho; Dong Hoon Lee; Song Ee Chung; Se Woong Kang
Journal:  Korean J Ophthalmol       Date:  2010-02-05

7.  Comparing the effectiveness of telemedicine and traditional surveillance in providing diabetic retinopathy screening examinations: a randomized controlled trial.

Authors:  Steven L Mansberger; Ken Gleitsmann; Stuart Gardiner; Christina Sheppler; Shaban Demirel; Kathleen Wooten; Thomas M Becker
Journal:  Telemed J E Health       Date:  2013-10-08       Impact factor: 3.536

8.  Patient Attitudes Toward Telemedicine for Diabetic Retinopathy.

Authors:  Nita G Valikodath; Thellea K Leveque; Sophia Y Wang; Paul P Lee; Paula Anne Newman-Casey; Sean O Hansen; Maria A Woodward
Journal:  Telemed J E Health       Date:  2016-06-23       Impact factor: 3.536

9.  Sensitivity and specificity of nonmydriatic digital imaging in screening diabetic retinopathy in Indian eyes.

Authors:  Vishali Gupta; Reema Bansal; Amod Gupta; Anil Bhansali
Journal:  Indian J Ophthalmol       Date:  2014-08       Impact factor: 1.848

10.  Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm-Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy.

Authors:  Pritam Bawankar; Nita Shanbhag; S Smitha K; Bodhraj Dhawan; Aratee Palsule; Devesh Kumar; Shailja Chandel; Suneet Sood
Journal:  PLoS One       Date:  2017-12-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.