Division of Optometry and Visual Sciences, City University of London, London, UK
Glaucoma Services, Royal Surrey County Hospital NHS Foundation Trust, Guildford, Surrey, UK.
Br J Ophthalmol. 2021 May;105(5):681-686. doi: 10.1136/bjophthalmol-2020-316018. Epub 2020 Aug 3.
Glaucoma services are under unprecedented strain. The UK Healthcare Safety Investigation Branch recently called for new ways to identify glaucoma patients most at risk of developing sight loss, and of filtering-out false-positive referrals. Here, we evaluate the feasibility of one such technology, Eyecatcher: a free, tablet-based 'triage' perimeter, designed to be used unsupervised in clinic waiting areas. Eyecatcher does not require a button or headrest: patients are simply required to look at fixed-luminance dots as they appear.
Seventy-seven people were tested twice using Eyecatcher (one eye only) while waiting for a routine appointment in a UK glaucoma clinic. The sample included individuals with an established diagnosis of glaucoma, and false-positive new referrals (no visual field or optic nerve abnormalities). No attempts were made to control the testing environment. Patients wore their own glasses and received minimal task instruction.
Eyecatcher was fast (median: 2.5 min), produced results in good agreement with standard automated perimetry (SAP), and was rated as more enjoyable, less tiring and easier to perform than SAP (all p<0.001). It exhibited good separation (area under receiver operating characteristic=0.97) between eyes with advanced field loss (mean deviation (MD) < -6 dB) and those within normal limits (MD > -2 dB). And it was able to flag two thirds of false-positive referrals as functionally normal. However, eight people (10%) failed to complete the test twice, and reasons for this limitation are discussed.
Tablet-based eye-movement perimetry could potentially provide a pragmatic way of triaging busy glaucoma clinics (ie, flagging high-risk patients and possible false-positive referrals).
青光眼服务正面临前所未有的压力。英国医疗保健安全调查局最近呼吁寻找新方法来识别最有可能导致视力丧失的青光眼患者,并筛选出假阳性转诊。在这里,我们评估了一种名为 Eyecatcher 的技术的可行性:一种免费的、基于平板电脑的“分诊”周边设备,旨在在诊所候诊区无人监督的情况下使用。Eyecatcher 不需要按钮或头枕:患者只需在固定亮度的点出现时观看即可。
77 人在英国青光眼诊所的常规预约等待期间,仅使用 Eyecatcher(一只眼睛)进行了两次测试。该样本包括已确诊患有青光眼的个体以及假阳性新转诊患者(无视野或视神经异常)。未尝试控制测试环境。患者佩戴自己的眼镜并接受最少的任务指导。
Eyecatcher 速度很快(中位数:2.5 分钟),与标准自动视野计(SAP)的结果非常吻合,并且比 SAP 更受喜爱、更轻松、更不易疲劳(均 p<0.001)。它在具有晚期视野损失(平均偏差(MD)< -6 dB)的眼睛和正常范围内的眼睛之间具有良好的分离(接受者操作特征曲线下面积为 0.97)。它能够将三分之二的假阳性转诊标记为功能正常。但是,有 8 人(10%)未能两次完成测试,并且讨论了这种限制的原因。
基于平板电脑的眼球运动视野计可能为繁忙的青光眼诊所提供一种实用的分诊方法(即,标记高危患者和可能的假阳性转诊)。