Goh Liang Chye, Jeyanthi Kulasegarah
Department of Otorhinolaryngology, University of Malaya, Kuala Lumpur, Malaysia.
Iran J Otorhinolaryngol. 2024 Jul;36(4):551-558. doi: 10.22038/IJORL.2024.77520.3596.
To develop and validate a click-based mobile "Audiclick" app employing click noises for hearing assessments.
This prospective comparative study compares the "AudiClick" app as a hearing screening tool to pure tone audiometry. Participants listened to sounds through wired earbud headphones that were connected to an Android or iOS device.
The study involved 110 participants aged between 18 to 80 years old. All degrees of hearing loss severity corresponds to pure tone average (p < 0.01) results. The app was also found to be effective at identifying hearing loss (80-99% sensitivity, specificity, positive predictive value, and accuracy). Test-retest reliability had also shown excellent ICC scores of 0.93.
This study demonstrates that a mobile app using click sounds can be as efficient as pure tone audiometry for field screenings, while being more cost-effective and easier to develop.
开发并验证一款基于点击声的移动“听击”应用程序,用于听力评估。
这项前瞻性比较研究将“听测点击”应用程序作为听力筛查工具与纯音听力测试进行比较。参与者通过连接到安卓或iOS设备的有线耳塞式耳机聆听声音。
该研究涉及110名年龄在18至80岁之间的参与者。所有听力损失严重程度等级均与纯音平均听阈(p<0.01)结果相符。该应用程序在识别听力损失方面也被证明是有效的(灵敏度、特异性、阳性预测值和准确率均为80 - 99%)。重测信度也显示出0.93的出色组内相关系数得分。
本研究表明,使用点击声的移动应用程序在现场筛查中可以与纯音听力测试一样高效,同时更具成本效益且更易于开发。