TY - JOUR AU - Ma, Shuoxin AU - Guan, Yongqing AU - Yuan, yazen AU - Tai, Yuan AU - Wang, Tan PY - 2020 DA - 20/7/13 TI -资源有限地区基于智能手机成像的一步式简化儿童视力筛查解决方案:设计和初步现场评估JO - JMIR Mhealth Uhealth SP - e18226 VL - 8 IS - 7 KW -视力筛查KW -资源有限应用KW -光屈光KW -斜视KW -近视KW -屈光参差KW - Mhealth KW -筛查AB -背景:幼儿视力筛查作为预防性保健服务的一部分，对发展中地区具有巨大价值。通过在年轻时使用低成本的干预措施来预防手术，除了获得高投资回报外，它还提高了学习成绩，从而提高了未来的劳动力质量。在资源有限的地区，利用低技能的卫生保健工作者和智能手机和自动诊断来提供这样的项目是一种可扩展的模式。目的:本研究旨在为资源有限地区的学龄儿童开发和评估一种有效、高效、全面的视力筛查解决方案。首先，这样的检查需要涵盖弱视和近视的主要风险因素，这两种视力损害的主要来源在年轻时就可以有效地预防。其次，该解决方案必须与数字患者记录保存相结合，以进行长期监测和流行的统计分析。最后，它应该利用低技能的技术人员和发展中地区典型学校所拥有的低成本工具，而不影响质量和效率。方法:设计筛选程序的工作流程，并开发智能手机应用程序来实现。在标准化的筛查程序中，一个年幼的孩子在一个黑暗的房间里接受了基于智能手机的照片筛查。 The child held a smartphone in front of their forehead, displaying pre-entered personal information as a quick response code that duplexed as a reference of scale. In one 10-second procedure, the child’s personal information and interpupillary distance, relative visual axis alignment, and refractive error ranges were measured and analyzed automatically using image processing and artificial intelligence algorithms. The child’s risk for strabismus, myopia, and anisometropia was then derived and consultation given. Results: A preliminary evaluation of the solution was conducted alongside yearly physical exams in Luoyang, Henan, People’s Republic of China. It covered 20 students with suspected strabismus and 80 randomly selected students, aged evenly between 8 and 10. Each examinee took about 1 minute, and a streamlined workflow allowed 3 exams to run in parallel. The 1-shot and 2-shot measurement success rates were 87% and 100%, respectively. The sensitivity and specificity of strabismus detection were 0.80 and 0.98, respectively. The sensitivity and specificity of myopia detection were 0.83 and 1.00, respectively. The sensitivity and specificity of anisometropia detection were 0.80 and 1.00, respectively. Conclusions: The proposed vision screening program is effective, efficient, and scalable. Compared with previously published studies on utilizing a smartphone for an automated Hirschberg test and photorefraction screening, this comprehensive solution is optimized for practicality and robustness, and is thus better ready-to-deploy. Our evaluation validated the achievement of the program’s design specifications. SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2020/7/e18226/ UR - https://doi.org/10.2196/18226 UR - http://www.ncbi.nlm.nih.gov/pubmed/32673243 DO - 10.2196/18226 ID - info:doi/10.2196/18226 ER -