Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap

Worker′s compensation for hearing loss caused by occupational noise exposure is calculated by varying methods, from state to state within the United States (US), with many employing arithmetic formulas based on the pure-tone audiogram, to quantify hearing loss. Several assumptions unsupported or wea...

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Main Authors: Andrew B John, Brian M Kreisman, Stephen Pallett
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2012-01-01
Series:Noise and Health
Subjects:
Online Access:http://www.noiseandhealth.org/article.asp?issn=1463-1741;year=2012;volume=14;issue=56;spage=13;epage=20;aulast=John
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spelling doaj-79fdf478e682444188c2f145e5ac34932020-11-25T01:39:05ZengWolters Kluwer Medknow PublicationsNoise and Health1463-17411998-40302012-01-011456132010.4103/1463-1741.93321Validity of hearing impairment calculation methods for prediction of self-reported hearing handicapAndrew B JohnBrian M KreismanStephen PallettWorker′s compensation for hearing loss caused by occupational noise exposure is calculated by varying methods, from state to state within the United States (US), with many employing arithmetic formulas based on the pure-tone audiogram, to quantify hearing loss. Several assumptions unsupported or weakly supported by empirical data underlie these formulas. The present study evaluated the ability of various arithmetic hearing impairment calculations to predict a self-reported hearing handicap in a sample of presenting with sensorineural hearing loss. 204 adults (127 male, 77 female) ranging in age from 18 to 94 served as participants. The sample was selected to exclude patients who had been referred for hearing testing for a medicolegal examination or a hearing conservation appointment. A hearing handicap was measured by the Hearing Handicap Inventory for Adults/for the Elderly (HHIA/E). The covariance analysis of linear structural equations was used to assess the relative strength of correlation with the HHIA/E score among the six formulas and various forms of pure-tone average. The results revealed that all the hearing impairment calculations examined were significantly, but weakly, correlated with the self-reported hearing impairment scores. No significant differences among the predictive abilities of the impairment calculations were evident; however, the average binaural impairment assigned differed significantly among the six calculations examined. Individuals who demonstrated 0% impairment had significantly lower (i.e., better) HHIA/E scores compared to those with non-zero impairment for each formula. These results supported the idea that audiometric data provided an insufficient explanation for real-world hearing difficulties.http://www.noiseandhealth.org/article.asp?issn=1463-1741;year=2012;volume=14;issue=56;spage=13;epage=20;aulast=JohnHearing handicaphearing impairmentsensorineural hearing lossworker′s compensation
collection DOAJ
language English
format Article
sources DOAJ
author Andrew B John
Brian M Kreisman
Stephen Pallett
spellingShingle Andrew B John
Brian M Kreisman
Stephen Pallett
Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
Noise and Health
Hearing handicap
hearing impairment
sensorineural hearing loss
worker′s compensation
author_facet Andrew B John
Brian M Kreisman
Stephen Pallett
author_sort Andrew B John
title Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
title_short Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
title_full Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
title_fullStr Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
title_full_unstemmed Validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
title_sort validity of hearing impairment calculation methods for prediction of self-reported hearing handicap
publisher Wolters Kluwer Medknow Publications
series Noise and Health
issn 1463-1741
1998-4030
publishDate 2012-01-01
description Worker′s compensation for hearing loss caused by occupational noise exposure is calculated by varying methods, from state to state within the United States (US), with many employing arithmetic formulas based on the pure-tone audiogram, to quantify hearing loss. Several assumptions unsupported or weakly supported by empirical data underlie these formulas. The present study evaluated the ability of various arithmetic hearing impairment calculations to predict a self-reported hearing handicap in a sample of presenting with sensorineural hearing loss. 204 adults (127 male, 77 female) ranging in age from 18 to 94 served as participants. The sample was selected to exclude patients who had been referred for hearing testing for a medicolegal examination or a hearing conservation appointment. A hearing handicap was measured by the Hearing Handicap Inventory for Adults/for the Elderly (HHIA/E). The covariance analysis of linear structural equations was used to assess the relative strength of correlation with the HHIA/E score among the six formulas and various forms of pure-tone average. The results revealed that all the hearing impairment calculations examined were significantly, but weakly, correlated with the self-reported hearing impairment scores. No significant differences among the predictive abilities of the impairment calculations were evident; however, the average binaural impairment assigned differed significantly among the six calculations examined. Individuals who demonstrated 0% impairment had significantly lower (i.e., better) HHIA/E scores compared to those with non-zero impairment for each formula. These results supported the idea that audiometric data provided an insufficient explanation for real-world hearing difficulties.
topic Hearing handicap
hearing impairment
sensorineural hearing loss
worker′s compensation
url http://www.noiseandhealth.org/article.asp?issn=1463-1741;year=2012;volume=14;issue=56;spage=13;epage=20;aulast=John
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