Self-assessment of Visual Acuity Using a Smartphone Application

IF 0.1 Q4 OPHTHALMOLOGY
Sejung Kim, Yuhyun Kim, M. Oh, Sunghyuk Moon
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Abstract

Purpose: We evaluated the accuracy and usefulness of self-assessment of visual acuity (VA) using a smartphone application for Korean users and explored its potential application in screening eye diseases.Methods: In total, 52 participants aged ≥ 20 years were included in the study. Of these participants, 31 used Jin Yong-Han’s VA chart and the smartphone application to measure their distant visual acuity (DVA), whereas 21 used Han Chun-Seok’s near visual acuity chart and the application to measure their near visual acuity (NVA). The results and time required for VA measurement using both methods were compared. VA was converted to logarithm of the minimum angle of resolution (logMAR) for analysis. The voice recognition rate of the application for numbers 2-9 was assessed.Results: The mean NVA was 0.29 ± 0.28 using Han’s chart and 0.30 ± 0.43 using the application with no significant difference (p = 1.00). The mean DVA was 0.19 ± 5.89 using Jin's chart and 0.20 ± 0.27 using the application with no significant difference (p = 0.19). The average time spent for measuring NVA and DVA was 19 seconds (s) using Han’s and Jin's charts, whereas it was 42 and 38 s for measuring NVA and DVA using the application. The voice recognition rate of the application was 87% on average for numbers 2-9, with the highest rate for number 7 (79%) and the lowest rate for number 4 (91%).Conclusions: Self-assessment of VA using a smartphone application exhibited similar results to conventional VA measurement methods. Although the measurement time varied, DVA and NVA could be measured at home using a smartphone, and would be particularly useful for those who have difficulty visiting a hospital.
使用智能手机应用程序自我评估视力
目的:我们评估了韩国用户使用智能手机应用程序自我评估视力(VA)的准确性和实用性,并探讨了其在眼病筛查中的潜在应用:研究共纳入了 52 名年龄≥ 20 岁的参与者。其中,31 人使用 Jin Yong-Han 的视力表和智能手机应用程序测量远视力(DVA),21 人使用 Han Chun-Seok 的近视力表和应用程序测量近视力(NVA)。比较了两种方法的测量结果和所需时间。VA 被转换成最小分辨角的对数(logMAR)进行分析。此外,还评估了应用程序对数字 2-9 的语音识别率:结果:使用 Han 图表的平均 NVA 为 0.29 ± 0.28,而使用应用程序的平均 NVA 为 0.30 ± 0.43,两者无显著差异(p = 1.00)。使用金氏图表的 DVA 平均值为 0.19 ± 5.89,而使用应用程序的 DVA 平均值为 0.20 ± 0.27,两者无明显差异(p = 0.19)。使用韩氏和金氏图表测量 NVA 和 DVA 的平均时间为 19 秒(s),而使用应用程序测量 NVA 和 DVA 的平均时间分别为 42 秒和 38 秒。应用软件对 2-9 号的语音识别率平均为 87%,其中 7 号的识别率最高(79%),4 号的识别率最低(91%):结论:使用智能手机应用程序对 VA 进行自我评估的结果与传统的 VA 测量方法相似。虽然测量时间各不相同,但在家中使用智能手机就能测量 DVA 和 NVA,这对那些不方便去医院的人尤其有用。
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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来源期刊
CiteScore
0.20
自引率
0.00%
发文量
126
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