Literature DB >> 29049620

Diagnosing and Screening in a Minority Language: A Validation Study.

Melanie A Zokoll1,2,3, Kirsten C Wagener2,3, Birger Kollmeier1,2,3,4.   

Abstract

PURPOSE: The Turkish Digit Triplet Test for hearing self-screening purposes and the Turkish Matrix Test (TURMatrix) for follow-up hearing diagnostics offer an automated closed-set response format where patients respond by choosing from response alternatives. Their applicability for testing Turkish-speaking patients in their native language by German audiologists with different Turkish language skills was investigated.
METHOD: Tests were composed of spoken numbers (Turkish Digit Triplet Test) or sentences (TURMatrix). For 49 participants differing in hearing ability, speech reception thresholds (SRTs) in noise and quiet were obtained, for the TURMatrix with either the open- or closed-set response format, by audiologists with and without Turkish language skills, respectively.
RESULTS: SRTs of both tests correlate closely with each other as well as with hearing ability, but not as closely as individual SRTs in quiet with hearing ability. SRTs in noise of listeners with normal hearing were about 0.7 dB lower for the closed-set than for the open-set response format.
CONCLUSIONS: The 2 tests yield comparable results and are applicable to professionals without suitable language skills. For the closed-set response format of the TURMatrix, literacy is crucial and supplemental (visual) cues improve performance. Speech audiometry in noise should assess suprathreshold processing deficits independently from language proficiency in the majority language.

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Year:  2017        PMID: 29049620     DOI: 10.1044/2017_AJA-16-0138

Source DB:  PubMed          Journal:  Am J Audiol        ISSN: 1059-0889            Impact factor:   1.493


  1 in total

1.  FreeHear: A New Sound-Field Speech-in-Babble Hearing Assessment Tool.

Authors:  David R Moore; Helen Whiston; Melanie Lough; Antonia Marsden; Harvey Dillon; Kevin J Munro; Michael A Stone
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

  1 in total

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