Suppr超能文献

听力图在预防噪声性听力损失中的分类:临床视角

Classification of audiograms in the prevention of noise-induced hearing loss: A clinical perspective.

作者信息

Musiba Zumbi

机构信息

Sustainable Communities, Barrick Gold Corporation, Dar es Salaam.

出版信息

S Afr J Commun Disord. 2020 Mar 3;67(2):e1-e5. doi: 10.4102/sajcd.v67i2.691.

Abstract

BACKGROUND

Noise induced hearing loss (NIHL) is a major contributor to disabling hearing loss. Engineering controls are superior to hearing protection devices (HPDs) in prevention of occupational noise induced hearing loss (ONIHL), although the latter are more commonly used. Effective use of audiometry requires quick categorization of audiograms. The UK Health and Safety Executive (UKHSE) scheme for the categorization of audiograms is a tool that accomplishes this.

OBJECTIVES

The objective of this paper is to provide an overview of the classification of audiograms and build a case for the preferential use of the UKHSE's scheme to achieve this.

METHOD

The author provides a literature review of methods of classification for audiograms and uses a case study in a Tanzanian mining company to demonstrate how the UKHSE scheme was successfully used to enhance the existing hearing protection program.

RESULTS

The literature review identified several methods of classification based on a variation of threshold shifts from baseline. The difference was in the frequency and level of threshold shift used to determine hearing loss, and the recommended course of action once hearing loss is detected. The UKHSE scheme is simple and provides guidance on steps to be taken thereafter. This was demonstrated in a case study among miners in a mining company in Tanzania.

CONCLUSION

The UKHSE audiogram classification scheme has the advantage of providing a straightforward, easy to determine classification that allows for intervention appropriate to the findings.

摘要

背景

噪声性听力损失(NIHL)是导致听力丧失致残的主要原因。在预防职业性噪声性听力损失(ONIHL)方面,工程控制措施优于听力保护装置(HPD),尽管后者使用更为普遍。有效利用听力测定法需要快速对听力图进行分类。英国健康与安全执行局(UKHSE)的听力图分类方案就是实现这一目的的一种工具。

目的

本文的目的是概述听力图的分类,并为优先使用UKHSE方案以实现这一目标提供依据。

方法

作者对听力图的分类方法进行了文献综述,并通过坦桑尼亚一家矿业公司的案例研究,展示UKHSE方案如何成功用于加强现有的听力保护计划。

结果

文献综述确定了几种基于与基线阈值变化的分类方法。差异在于用于确定听力损失的阈值变化的频率和水平,以及一旦检测到听力损失后建议采取的行动方案。UKHSE方案简单明了,并为后续应采取的步骤提供了指导。这在坦桑尼亚一家矿业公司矿工的案例研究中得到了证明。

结论

UKHSE听力图分类方案的优点是提供了一种直接、易于确定的分类方法,能够根据检查结果进行适当干预。

相似文献

3
The prevalence of noise-induced hearing loss among Tanzanian miners.坦桑尼亚矿工中噪声性听力损失的患病率。
Occup Med (Lond). 2015 Jul;65(5):386-90. doi: 10.1093/occmed/kqv046. Epub 2015 Apr 28.
4
Feedback-based noise management matrix in action.基于反馈的噪声管理矩阵在运行中。
S Afr J Commun Disord. 2020 Apr 1;67(2):e1-e9. doi: 10.4102/sajcd.v67i2.678.

本文引用的文献

4
Uncovering effective strategies for hearing loss prevention.探索预防听力损失的有效策略。
Acoust Aust. 2016 Apr;44(1):67-75. doi: 10.1007/s40857-016-0044-9. Epub 2016 Mar 9.
5
The prevalence of noise-induced hearing loss among Tanzanian miners.坦桑尼亚矿工中噪声性听力损失的患病率。
Occup Med (Lond). 2015 Jul;65(5):386-90. doi: 10.1093/occmed/kqv046. Epub 2015 Apr 28.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验