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用于职业性高频听力损失筛查的优化型基于互联网的噪声中言语测试的实验室评估:职业听力检查

Laboratory evaluation of an optimised internet-based speech-in-noise test for occupational high-frequency hearing loss screening: Occupational Earcheck.

作者信息

Sheikh Rashid Marya, Leensen Monique C J, de Laat Jan A P M, Dreschler Wouter A

机构信息

a Department of Clinical and Experimental Audiology , Amsterdam Public Health Research Institute, Academic Medical Center (AMC) , Amsterdam , the Netherlands and.

b Department of Audiology , Leiden University Medical Center , Leiden , the Netherlands.

出版信息

Int J Audiol. 2017 Nov;56(11):844-853. doi: 10.1080/14992027.2017.1333634. Epub 2017 Jun 6.

Abstract

OBJECTIVE

The "Occupational Earcheck" (OEC) is a Dutch online self-screening speech-in-noise test developed for the detection of occupational high-frequency hearing loss (HFHL). This study evaluates an optimised version of the test and determines the most appropriate masking noise.

DESIGN

The original OEC was improved by homogenisation of the speech material, and shortening the test. A laboratory-based cross-sectional study was performed in which the optimised OEC in five alternative masking noise conditions was evaluated.

STUDY SAMPLE

The study was conducted on 18 normal-hearing (NH) adults, and 15 middle-aged listeners with HFHL.

RESULTS

The OEC in a low-pass (LP) filtered stationary background noise (test version LP 3: with a cut-off frequency of 1.6 kHz, and a noise floor of -12 dB) was the most accurate version tested. The test showed a reasonable sensitivity (93%), and specificity (94%) and test reliability (intra-class correlation coefficient: 0.84, mean within-subject standard deviation: 1.5 dB SNR, slope of psychometric function: 13.1%/dB SNR).

CONCLUSIONS

The improved OEC, with homogenous word material in a LP filtered noise, appears to be suitable for the discrimination between younger NH listeners and older listeners with HFHL. The appropriateness of the OEC for screening purposes in an occupational setting will be studied further.

摘要

目的

“职业听力检查”(OEC)是一种荷兰在线自我筛查言语噪声测试,旨在检测职业性高频听力损失(HFHL)。本研究评估了该测试的优化版本,并确定最合适的掩蔽噪声。

设计

通过使语音材料同质化和缩短测试对原始OEC进行了改进。进行了一项基于实验室的横断面研究,评估了在五种替代掩蔽噪声条件下的优化OEC。

研究样本

该研究对18名听力正常(NH)的成年人和15名患有HFHL的中年听众进行。

结果

在低通(LP)滤波的平稳背景噪声(测试版本LP 3:截止频率为1.6kHz,本底噪声为-12dB)中的OEC是测试的最准确版本。该测试显示出合理的敏感性(93%)、特异性(回94%)和测试可靠性(组内相关系数:0.84,受试者内平均标准差:1.5dB SNR,心理测量函数斜率:13.1%/dB SNR)。

结论

改进后的OEC,在LP滤波噪声中使用同质单词材料,似乎适用于区分年轻的NH听众和患有HFHL的年长听众。OEC在职业环境中用于筛查目的的适用性将进一步研究。

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