Department of Ophthalmology, Oulu University Hospital, Oulu, Finland.
Acta Ophthalmol. 2014 Sep;92(6):582-7. doi: 10.1111/aos.12278. Epub 2013 Oct 17.
PURPOSE: Diabetic retinopathy (DR) is the most common complication of diabetes and needs to be diagnosed early to prevent severe sight-threatening retinopathy. Digital photography with telemedicine connections is a novel way to deliver cost-effective, accessible screening to remote areas. Screening for DR in a mobile eye examination unit (EyeMo) is compared to traditional service models (i.e. local municipal services or a commercial service provider). The quality of images, delays from screening to treatment, the stage of DR, coverage of screening and the rate of visual impairment due to DR are evaluated. METHODS: EyeMo utilizes telemedicine technology. The electronic databases of the hospital and information from the Finnish Register of Visual Impairment were used to determine delays and the rate of visual impairment. RESULTS: Fourteen thousand eight hundred and sixty-six fundus photographs were taken in EyeMo in 2007-2011. Coverage reached 78% of potential clients. No DR was detected in 43%, mild background retinopathy in 23%, moderate or severe background retinopathy in 31% and proliferative retinopathy in 3% of the evaluations. The quality of images was higher (p < 0.01) and delays shorter (p < 0.01) in EyeMo as compared to traditional service models. The rate of visual impairment due to DR decreased by 86% in the area covered by EyeMo, and the change compared favourably to the situation in the entire Finland (p < 0.0005). CONCLUSION: EyeMo is a feasible model of telemedicine application for screening of DR. Effective screening and timely access to care may indeed have influenced the reduced rate of visual damage.
目的:糖尿病视网膜病变(DR)是糖尿病最常见的并发症,需要早期诊断,以防止严重的威胁视力的视网膜病变。通过远程医疗连接的数码摄影是一种向偏远地区提供经济有效的可及性筛查的新方法。在移动眼科检查单位(EyeMo)中筛查 DR 与传统服务模式(即当地市政服务或商业服务提供商)进行比较。评估了图像质量、从筛查到治疗的延迟、DR 的阶段、筛查的覆盖率以及因 DR 导致的视力障碍的发生率。
方法:EyeMo 利用远程医疗技术。医院的电子数据库和芬兰视力障碍登记处的信息用于确定延迟和视力障碍的发生率。
结果:2007 年至 2011 年,EyeMo 共拍摄了 14866 张眼底照片。覆盖率达到了潜在客户的 78%。在评估中,43%的患者未发现 DR,23%的患者有轻度背景性视网膜病变,31%的患者有中度或重度背景性视网膜病变,3%的患者有增殖性视网膜病变。与传统服务模式相比,EyeMo 的图像质量更高(p<0.01),延迟更短(p<0.01)。在 EyeMo 覆盖的区域,因 DR 导致的视力障碍发生率下降了 86%,这一变化明显优于整个芬兰的情况(p<0.0005)。
结论:EyeMo 是一种可行的 DR 筛查远程医疗应用模式。有效的筛查和及时获得治疗确实可能影响了视力损害率的降低。
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