Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Cornea and Refractive Surgery Society of Thailand, Department of Ophthalmology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
JMIR Mhealth Uhealth. 2022 Jun 22;10(6):e31011. doi: 10.2196/31011.
BACKGROUND: Dry eye (DE) is a chronic inflammatory disease of the ocular surface of the eye that affects millions of people throughout the world. Smartphone use as an effective health care tool has grown exponentially. The "Dry eye or not?" app was created to evaluate the prevalence of symptomatic DE, screen for its occurrence, and provide feedback to users with symptomatic DE throughout Thailand. OBJECTIVE: The purpose of this study was to compare the prevalence of symptomatic dry eye (DE), blink rate, maximum blink interval (MBI), and best spectacle-corrected visual acuity (BSCVA) between people with and without symptomatic DE and to identify risk factors for symptomatic DE in Thailand. METHODS: This cross-sectional study sourced data from the "Dry eye or not?" smartphone app between November 2019 and July 2020. This app collected demographic data, Ocular Surface Disease Index (OSDI) score, blink rate, MBI, BSCVA, and visual display terminal (VDT) use data. The criterion for symptomatic DE was OSDI score ≥13. RESULTS: The prevalence of symptomatic DE among individuals using this smartphone app in Thailand was 85.8% (8131/9482), with the Northeastern region of Thailand having the highest prevalence, followed by the Northern region. Worse BSCVA (median 0.20, IQR 0.40; P=.02), increased blink rate (median 18, IQR 16; P<.001), reduced MBI (median 8.90, IQR 10.80; P<.001), female sex (adjusted OR 1.83; 95% CI 1.59-2.09; P<.001), more than 6 hours of VDT use (adjusted OR 1.59; 95% CI 1.15-2.19; P=.004), and lower than bachelor's degree (adjusted OR 1.30; 95% CI 1.03-1.64; P=.02) were significantly associated with symptomatic DE. An age over 50 years (adjusted OR 0.77; 95% CI 0.60-0.99) was significantly less associated with symptomatic DE (P=.04). CONCLUSIONS: This smartphone DE app showed that the prevalence of symptomatic DE in Thailand was 85.8%. Signs and risk factors could be also evaluated with this smartphone DE app. Screening for DE by this app may allow for the development of strategic plans for health care systems in Thailand.
背景：干眼症（DE）是一种影响全球数百万人的眼表慢性炎症性疾病。智能手机作为一种有效的医疗保健工具，其使用呈指数级增长。“干眼或非干眼？”应用程序的创建是为了评估有症状的 DE 的流行程度，对其进行筛查，并为整个泰国出现有症状的 DE 的用户提供反馈。
目的：本研究旨在比较有症状的干眼症（DE）、眨眼率、最大眨眼间隔（MBI）和最佳矫正视力（BSCVA）在有症状和无症状 DE 患者之间的差异，并确定泰国出现有症状的 DE 的危险因素。
方法：本横断面研究的数据来自 2019 年 11 月至 2020 年 7 月间“干眼或非干眼？”智能手机应用程序。该应用程序收集了人口统计学数据、眼表疾病指数（OSDI）评分、眨眼率、MBI、BSCVA 和视频显示终端（VDT）使用数据。有症状 DE 的标准为 OSDI 评分≥13。
结果：该智能手机应用程序在泰国的使用人群中，有症状的 DE 患病率为 85.8%（8131/9482），东北部地区的患病率最高，其次是北部地区。较差的 BSCVA（中位数 0.20，IQR 0.40；P=.02）、较高的眨眼率（中位数 18，IQR 16；P<.001）、较短的 MBI（中位数 8.90，IQR 10.80；P<.001）、女性（调整后的比值比 1.83；95%可信区间 1.59-2.09；P<.001）、VDT 使用超过 6 小时（调整后的比值比 1.59；95%可信区间 1.15-2.19；P=.004）和低于学士学位（调整后的比值比 1.30；95%可信区间 1.03-1.64；P=.02）与有症状的 DE 显著相关。年龄超过 50 岁（调整后的比值比 0.77；95%可信区间 0.60-0.99）与有症状的 DE 显著相关（P=.04）。
结论：本智能手机 DE 应用程序显示，泰国有症状的 DE 患病率为 85.8%。该智能手机 DE 应用程序还可以评估症状和危险因素。通过该应用程序筛查 DE 可能为泰国的医疗保健系统制定战略计划提供依据。
JMIR Mhealth Uhealth. 2022-6-22
Ophthalmol Sci. 2023-5-31
Zotero 插件