Clinical and Experimental Audiology, ENT Department, Academic Medical Centre AMC, 1100 DD Amsterdam, The Netherlands.
Int J Audiol. 2013 Jul;52(7):455-65. doi: 10.3109/14992027.2013.790565.
Noise-induced hearing loss (NIHL) is the most reported occupational health disease in the Netherlands. The internet-based speech-in-noise test Earcheck (Albrecht et al, 2005; Leensen et al, 2011b) is designed to detect beginning NIHL and can be a valuable tool in occupational hearing health surveillance. The aim of this study is to investigate the validity of Earcheck compared to regular screening audiometry.
Subjects performed online Earcheck tests at home. The results are compared to a pure-tone screening audiogram obtained during regular occupational health examination. A subgroup performed the measurements twice to assess test-retest reliability.
Two hundred and forty-nine male construction employees who recently had a periodic occupational health examination participated.
An average learning effect of -1.6 dB was found, that reduced with increasing test number. The test-retest variability was 1.6 dB. Sensitivity to detect beginning NIHL was 68%, with a specificity of 71%.
Although sensitivity and specificity values are only moderate, the broad internet application still promises a valuable addition to current practice. The relatively high learning effect indicates that more reliable results can be obtained after a longer test session. When this is put into practice some improvement in sensitivity and specificity may be expected as well.
噪声性听力损失(NIHL)是荷兰报告最多的职业健康疾病。基于互联网的语音噪声测试 Earcheck(Albrecht 等人,2005 年;Leensen 等人,2011b)旨在检测早期的 NIHL,是职业听力健康监测的有价值的工具。本研究旨在调查 Earcheck 与常规筛查测听相比的有效性。
受试者在家中进行在线 Earcheck 测试。结果与定期职业健康检查期间获得的纯音筛查测听图进行比较。一个亚组进行了两次测量以评估测试 - 重测的可靠性。
249 名最近接受定期职业健康检查的男性建筑工人参加了研究。
发现平均学习效应为-1.6dB,随着测试次数的增加而减少。测试 - 重测的可变性为 1.6dB。检测早期 NIHL 的敏感性为 68%,特异性为 71%。
尽管敏感性和特异性值仅为中等,但广泛的互联网应用仍有望对当前实践做出有价值的补充。相对较高的学习效应表明,在更长的测试过程后可以获得更可靠的结果。当这一点付诸实践时,敏感性和特异性可能会有所提高。