769
Views
23
CrossRef citations to date
0
Altmetric
Discussion Paper

Does the acceptable noise level (ANL) predict hearing-aid use?

&
Pages 2-20 | Received 01 Feb 2013, Accepted 26 Aug 2013, Published online: 13 Nov 2013
 

Abstract

Objective: It has been suggested that individuals have an inherent acceptance of noise in the presence of speech, and that different acceptance of noise results in different hearing-aid (HA) use. The acceptable noise level (ANL) has been proposed for measurement of this property. It has been claimed that the ANL magnitude can predict hearing-aid use patterns. Many papers have been published reporting on different aspects of ANL, but none have challenged the predictive power of ANL. The purpose of this study was to discuss whether ANL can predict HA use and how more reliable ANL results can be obtained. Design: Relevant literature regarding the ANL was found on Medline, Embase, and Google Scholar. Additional information was found as references in the included papers and through personal contacts, for instance when attending audiology conferences. Study sample: Forty-five papers published in peer reviewed journals as well as a number of papers from trade journals, posters and oral presentations from audiology conventions. Conclusions: An inherent acceptance of noise in the presence of speech may exist, but no method for precise measurement of ANL is available. The ANL model for prediction of HA use has yet to be proven valid.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 194.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.