Dépistage de la rétinopathie diabétique par télémédecine en utilisant des rétinophotographies non mydriatiques dans un groupe hospitalier du Nord-Pas-de-Calais

Tran, Thi Ha Chau; Rahmoun, Jamila; Hoa, A.A. Hui Bon; Denimal, F.; Delecourt, F.; Jean, E.; Forzy, G.

doi:10.1016/j.jfo.2009.10.015

Journal Français d'Ophtalmologie

2009

DOI: 10.1016/j.jfo.2009.10.015

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Dépistage de la rétinopathie diabétique par télémédecine en utilisant des rétinophotographies non mydriatiques dans un groupe hospitalier du Nord-Pas-de-Calais

Thi Ha Chau Tran

Jamila Rahmoun

A.A. Hui Bon Hoa

et al.

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Cited by 8 publications

(1 citation statement)

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“…It was conducted in France in 2009. 121 The patients were screened consecutively upon recruitment over a period of 18 months, using a nonmydriatic fundus camera with three 45°digital images per eye. The images were subsequently transmitted to an ophthalmology department in a referral hospital for grading.…”

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confidence: 99%

The Empirical Evidence for the Telemedicine Intervention in Diabetes Management

Bashshur

Shannon

Smith

et al. 2015

Telemedicine and e-Health

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Objective: The research presented here assesses the scientific evidence for the telemedicine intervention in the management of diabetes (telediabetes), gestational diabetes, and diabetic retinopathy. The impetus derives from the confluence of high prevalence of these diseases, increasing incidence, and rising costs, while telemedicine promises to ameliorate, if not prevent, type 2 diabetes and its complications. Materials and Methods: A purposeful review of the literature identified relevant publications from January 2005 to December 2013. These were culled to retain only credible research articles for detailed review and analysis. The search yielded approximately 17,000 articles with no date constraints. Of these, 770 appeared to be research articles within our time frame. A review of the abstracts yielded 73 articles that met the criteria for inclusion in the final analysis. Evidence is organized by research findings regarding feasibility/acceptance, intermediate outcomes (e.g., use of service, and screening compliance), and health outcomes (control of glycemic level, lipids, body weight, and physical activity.) Results: Definitions of telediabetes varied from study to study vis-à-vis diabetes subtype, setting, technology, staffing, duration, frequency, and target population. Outcome measures also varied. Despite these vagaries, sufficient evidence was obtained from a wide variety of research studies, consistently pointing to positive effects of telemonitoring and telescreening in terms of glycemic control, reduced body weight, and increased physical exercise. The major contributions point to telemedicine's potential for changing behaviors important to diabetes control and prevention, especially type 2 and gestational diabetes. Similarly, screening and monitoring for retinopathy can detect symptoms early that may be controlled or treated. Conclusions: Overall, there is strong and consistent evidence of improved glycemic control among persons with type 2 and gestational diabetes as well as effective screening and monitoring of diabetic retinopathy.

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confidence: 99%

The Empirical Evidence for the Telemedicine Intervention in Diabetes Management

Bashshur

Shannon

Smith

et al. 2015

Telemedicine and e-Health

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Telemedicine for screening diabetic retinopathy: The NO BLIND Italian multicenter study

Sasso

Pafundi

Gelso

et al. 2019

Diabetes Metabolism Res

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Aims Diabetic retinopathy (DR) represents the main cause of blindness among adults in the industrialized Countries. Use of telemedicine could offer an easy, smart specialist fundus oculi examination, as well as putting in a screening programme many patients who otherwise would be excluded. Materials and methods The NO BLIND is a transversal, multicentre, observational study. Its pilot phase involved nine public outpatient clinics for 6 months. As endpoint of the study, we assessed the prevalence of DR by retinography in a subset of the Italian population. Patients' fundus oculi photos were performed by trained diabetologists through a digital smart ophthalmoscope. Results According to our endpoint, in the final study population (n = 1461), obtained excluding patients for whom retinography was not able to provide any diagnosis, DR prevalence was equal to 15.5%. According to the receiver operating characteristic (ROC) curve performed, we can observe how retinography appears a highly accurate method to detect DR (AUROC 0.971, 95% confidence interval, 0.954‐0.989), with a specificity of the 100% and a sensitivity of the 94.3%. Conclusions Our findings, in an Italian setting, confirm main data in the literature about DR prevalence. Hence, telemedicine could represent an accurate, fast, and cheap method for screening of DR.

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Évaluation du dépistage de la rétinopathie diabétique par rétinographe non mydriatique effectué par des aides-soignant(e)s d’un service d’endocrinologie

Barcatali

Denion

Miocque

et al. 2015

Journal Français d'Ophtalmologie

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Dépistage de la rétinopathie diabétique par télémédecine en utilisant des rétinophotographies non mydriatiques dans un groupe hospitalier du Nord-Pas-de-Calais

Cited by 8 publications

References 13 publications

The Empirical Evidence for the Telemedicine Intervention in Diabetes Management

The Empirical Evidence for the Telemedicine Intervention in Diabetes Management

Telemedicine for screening diabetic retinopathy: The NO BLIND Italian multicenter study

Évaluation du dépistage de la rétinopathie diabétique par rétinographe non mydriatique effectué par des aides-soignant(e)s d’un service d’endocrinologie

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