A comparative study on peek (Smartphone based) Visual acuity test and LogMAR visual acuity test

J. Anitha, M. Manasa, N. Khanna, N. Apoorva, Aathira Paul
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Abstract

Context: The use of smartphone-based peek acuity application to test the visual acuity will improve the time efficacy, availability, and utility of subjective results collections for the healthcare providers. Aims: To assess and compare the VA by Smartphone visual acuity chart and LogMAR visual acuity chart and to determine the significance of the peek acuity chart over the LogMAR chart. Settings and Design: Prospective study. Methods and Material: We analysed 50 subjects with their approval and informed consent, evaluated their visual acuity using a LogMAR chart at three metres, and performed subjective refraction, silt lamp examination, and fundus examination. VA measures were taken with a smartphone software called Peek acuity and subjective refraction was done with a smartphone-based visual acuity program. The results were then compared between the two techniques. Sample Size: Convenient sampling. Statistical Analysis Used: The data were entered in MS excel and the results were calculated using statistical software SPSS, version 20. The results were expressed in the form of descriptive statistics like mean, standard deviation, graphs, frequency, and percentage was performed and inferential statistics like corelation and paired t-test were performed wherever necessary to compare unaided visual acuity, visual acuity with pinhole, and with glasses in both the eyes using smartphone-based PEEK visual acuity app and LogMAR visual acuity chart. If P <.05, said to be statistically significant. Normality was checked using Kolmogorov-Smirnov test. Results: The visual acuity measurement using LogMAR and the peek acuity chart had a P value.0001 significant positive connection with correlative data with and without pinhole. In addition, when comparing the Peek acuity app and the LogMAR chart, it shows that the mean unaided visual acuity difference with pinhole in OD is 0.0200 and OS is 0.0100 and with full correction they read out all optotypes clearly and without lag or failure. Conclusion: We discovered a significant statistical association between visual acuity measurement using a standard logMAR chart and a smartphone-based visual acuity application in this study (peek acuity app). As a result, a smartphone visual acuity application can be used to assess vision instead of the logMAR chart.
peek(基于智能手机)视力测试与LogMAR视力测试的比较研究
背景:使用基于智能手机的视力应用程序来测试视力将提高医疗保健提供者主观结果收集的时间效率、可用性和实用性。目的:通过智能手机视力表和LogMAR视力表评估和比较VA,并确定窥视视力表相对于LogMAR表的重要性。设置与设计:前瞻性研究。方法和材料:我们分析了50名获得批准和知情同意的受试者,使用LogMAR图在三米处评估他们的视力,并进行了主观屈光度、粉砂灯检查和眼底检查。VA测量是用一种名为Peek敏锐度的智能手机软件进行的,主观屈光是用基于智能手机的视力程序进行的。然后比较两种技术的结果。样本量:方便取样。使用的统计分析:将数据输入MS excel中,并使用SPSS 20版统计软件计算结果。结果以描述性统计的形式表示,如平均值、标准差、图表、频率和百分比,并在必要时进行推断统计,如相关性和配对t检验,以比较独立视力、针孔视力、,使用基于智能手机的PEEK视力应用程序和LogMAR视力表,双眼佩戴眼镜。如果P<0.05,则表示具有统计学意义。使用Kolmogorov-Smirnov检验检验正态性。结果:LogMAR和斜视视力表的视力测量值均为0.001,与有无针孔的相关数据呈正相关。此外,当比较Peek敏锐度应用程序和LogMAR图表时,结果显示,OD中针孔的平均无辅助视力差异为0.0200,OS为0.0100,在完全校正后,他们可以清楚地读取所有视类型,没有滞后或失败。结论:在本研究中,我们发现使用标准logMAR表进行的视力测量与基于智能手机的视力应用程序(peek敏锐度应用程序)之间存在显著的统计关联。因此,智能手机视力应用程序可以用来评估视力,而不是logMAR图表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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