Development and Validation of a Screening Tool for The Identification of Refractive Errors Among School Going Children In Tamil Nadu, India

Sudharsan V, Prateeksha Dawn Davidson, Lakshmi Kandhan V, None Amudha VP, Rita Hepsi Rani M
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Abstract

Background: The inability to focus light onto the retina, known as refractive error, is a significant cause of correctable visual impairment. Unfortunately, students' ocular complaints often go unnoticed due to a lack of awareness. To address this issue, a questionnaire with high sensitivity and reasonable specificity was developed for teachers to identify students with refractive error. Methods: A questionnaire with surrogate indicators for refractive error in children was used and the data was analysed using SPSS. Significant markers were scored and a ROC curve determined a suitable cut-off. Sensitivity and specificity were calculated based on this cut-off. Results: The questionnaire was developed using five variables that had a 65% probability of identifying refractive error, including copying errors, copying from peers, eye squeezing, previous use of glasses, and eye deviation. A cut-off score of 5.5 out of 14 achieved 90% sensitivity and 50% specificity in detecting refractive errors. Conclusion: This study created a tool with five markers that demonstrated good internal consistency and content validity, it had an average sensitivity and specificity of 84% and 63%, respectively. The tool is twice as likely to identify someone with refractive error than someone without it.
印度泰米尔纳德邦学龄儿童屈光不正识别筛查工具的开发和验证
背景:不能将光聚焦到视网膜上,称为屈光不正,是可矫正视力障碍的一个重要原因。不幸的是,由于缺乏意识,学生的眼疾往往被忽视。针对这一问题,设计了一份灵敏度高、特异度合理的问卷,供教师识别屈光不正学生。方法:采用儿童屈光不正替代指标问卷,采用SPSS软件对调查数据进行分析。对显著性标记进行评分,并用ROC曲线确定合适的截止点。敏感性和特异性是基于这个截止值计算的。结果:调查问卷采用了五个变量,这些变量识别屈光不正的概率为65%,包括复制错误、同伴复制、眼睛挤压、以前使用过眼镜和眼睛偏差。在检测屈光不全方面,14分中的5.5分达到了90%的灵敏度和50%的特异性。结论:本研究创建了一个具有良好内部一致性和内容效度的5个标记的工具,其平均灵敏度和特异性分别为84%和63%。该工具识别屈光不正患者的可能性是没有屈光不正患者的两倍。
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