Literature DB >> 28587489

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

Marya Sheikh Rashid1, Monique C J Leensen1, Jan A P M de Laat2, Wouter A Dreschler1.   

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.

Entities:  

Keywords:  Occupational noise; hearing screening; high-frequency hearing loss; speech-in-noise test; test accuracy

Mesh:

Year:  2017        PMID: 28587489     DOI: 10.1080/14992027.2017.1333634

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  3 in total

1.  A Smartphone National Hearing Test: Performance and Characteristics of Users.

Authors:  Karina C De Sousa; De Wet Swanepoel; David R Moore; Cas Smits
Journal:  Am J Audiol       Date:  2018-11-19       Impact factor: 1.493

2.  Accuracy of an internet-based speech-in-noise hearing screening test for high-frequency hearing loss: incorporating automatic conditional rescreening.

Authors:  Marya Sheikh Rashid; Wouter A Dreschler
Journal:  Int Arch Occup Environ Health       Date:  2018-06-29       Impact factor: 3.015

3.  Age-related hearing loss in the Korea National Health and Nutrition Examination Survey.

Authors:  Subin Kim; Jung Mee Park; Jae Sang Han; Jae Hyun Seo; Kyung-Do Han; Young Hoon Joo; Kyoung Ho Park
Journal:  PLoS One       Date:  2020-12-01       Impact factor: 3.240

  3 in total

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