Literature DB >> 21988504

Speech-in-noise screening tests by internet, part 1: test evaluation for noise-induced hearing loss identification.

Monique C J Leensen1, Jan A P M de Laat, Wouter A Dreschler.   

Abstract

OBJECTIVE: In the Netherlands three internet-based self-screening tests have been developed; the National Hearing Test (NHT), Earcheck (EC), and Occupational Earcheck (OEC). These tests are adaptive speech-in-noise tests using either digit triplets or monosyllables, presented in stationary speech-shaped noise. These tests can be highly valuable in increasing the awareness and prevention of noise-induced hearing loss (NIHL). This study evaluates these online speech-in-noise tests and investigates their potential to detect NIHL.
DESIGN: In a multi-centre study the results of the three online screening tests are compared to pure-tone audiometry and to the Dutch sentence SRT test ( Plomp & Mimpen, 1979a ), which is considered the clinical standard. STUDY SAMPLE: In total, 49 normal-hearing listeners and 49 patients with different degrees of NIHL participated.
RESULTS: The online tests show good reliability, but there is much overlap in outcomes between normal-hearing listeners and participants with early NIHL. In addition, rather low correlations of the test results with both the Dutch sentence SRT test and pure-tone thresholds are found. These findings result in rather low test sensitivity: 54% (NHT) and 51% (EC), or low specificity: 49% (OEC).
CONCLUSIONS: The online screening tests in their current form are unsuitable to be used for early NIHL screening purposes.

Entities:  

Mesh:

Year:  2011        PMID: 21988504     DOI: 10.3109/14992027.2011.595016

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


  5 in total

1.  Remote self-report and speech-in-noise measures predict clinical audiometric thresholds.

Authors:  Lina Motlagh Zadeh; Veronica Brennan; De Wet Swanepoel; Li Lin; David R Moore
Journal:  medRxiv       Date:  2022-07-07

2.  Improved Sensitivity of Digits-in-Noise Test to High-Frequency Hearing Loss.

Authors:  Lina Motlagh Zadeh; Noah H Silbert; De Wet Swanepoel; David R Moore
Journal:  Ear Hear       Date:  2021 May/Jun       Impact factor: 3.562

3.  Self-test web-based pure-tone audiometry: validity evaluation and measurement error analysis.

Authors:  Marcin Masalski; Tomasz Kręcicki
Journal:  J Med Internet Res       Date:  2013-04-12       Impact factor: 5.428

4.  Internet-based hearing screening using speech-in-noise: validation and comparisons of self-reported hearing problems, quality of life and phonological representation.

Authors:  Peter Molander; Peter Nordqvist; Marie Oberg; Thomas Lunner; Björn Lyxell; Gerhard Andersson
Journal:  BMJ Open       Date:  2013-09-16       Impact factor: 2.692

5.  Biological calibration for web-based hearing tests: evaluation of the methods.

Authors:  Marcin Masalski; Tomasz Grysiński; Tomasz Kręcicki
Journal:  J Med Internet Res       Date:  2014-01-15       Impact factor: 5.428

  5 in total

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