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

Developments in smartphone technology and the COVID-19 pandemic have highlighted the feasibility and need for remote, but reliable hearing tests. Previous studies used remote testing but did not directly compare results in the same listeners with standard lab or clinic testing. This study investigat...

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Autores principales: Zadeh, Lina Motlagh, Brennan, Veronica, Swanepoel, De Wet, Lin, Li, Moore, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275664/
https://www.ncbi.nlm.nih.gov/pubmed/35821983
http://dx.doi.org/10.1101/2022.05.09.22274843
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author Zadeh, Lina Motlagh
Brennan, Veronica
Swanepoel, De Wet
Lin, Li
Moore, David R.
author_facet Zadeh, Lina Motlagh
Brennan, Veronica
Swanepoel, De Wet
Lin, Li
Moore, David R.
author_sort Zadeh, Lina Motlagh
collection PubMed
description Developments in smartphone technology and the COVID-19 pandemic have highlighted the feasibility and need for remote, but reliable hearing tests. Previous studies used remote testing but did not directly compare results in the same listeners with standard lab or clinic testing. This study investigated reliability of remote, self-administered digits-in-noise (remote-DIN) compared with lab-based, supervised (lab-DIN) testing. Predictive validity was further examined in relation to a commonly used self-report, Speech, Spatial, and Qualities of Hearing (SSQ-12), and lab-based, pure tone audiometry. DIN speech reception thresholds (SRTs) of adults (18–64 y/o) with normal-hearing (NH, N=16) and hearing loss (HL, N=18), were measured using English-language digits (0–9), binaurally presented as triplets in one of four speech-shaped noise maskers (broadband, low-pass filtered at 2, 4, 8 kHz) and two digit phases (diotic, antiphasic). High, significant intraclass correlation coefficients indicated strong internal consistency of remote-DIN SRTs, which also correlated significantly with lab-DIN SRTs. There was no significant mean difference between remote- and lab-DIN on any tests. NH listeners had significantly higher SSQ scores, and remote- and lab-DIN SRTs than listeners with HL. All versions of remote-DIN SRTs correlated significantly with pure-tone-average (PTA), with the 2-kHz filtered test the best predictor, explaining 50% of variance in PTA. SSQ total score also significantly and independently predicted PTA (17% of variance) and all test versions of the remote-DIN, except the antiphasic BB test. This study shows that remote SSQ-12 and remote-DIN are sensitive tools for capturing important aspects of auditory function.
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spelling pubmed-92756642022-07-13 Remote self-report and speech-in-noise measures predict clinical audiometric thresholds Zadeh, Lina Motlagh Brennan, Veronica Swanepoel, De Wet Lin, Li Moore, David R. medRxiv Article Developments in smartphone technology and the COVID-19 pandemic have highlighted the feasibility and need for remote, but reliable hearing tests. Previous studies used remote testing but did not directly compare results in the same listeners with standard lab or clinic testing. This study investigated reliability of remote, self-administered digits-in-noise (remote-DIN) compared with lab-based, supervised (lab-DIN) testing. Predictive validity was further examined in relation to a commonly used self-report, Speech, Spatial, and Qualities of Hearing (SSQ-12), and lab-based, pure tone audiometry. DIN speech reception thresholds (SRTs) of adults (18–64 y/o) with normal-hearing (NH, N=16) and hearing loss (HL, N=18), were measured using English-language digits (0–9), binaurally presented as triplets in one of four speech-shaped noise maskers (broadband, low-pass filtered at 2, 4, 8 kHz) and two digit phases (diotic, antiphasic). High, significant intraclass correlation coefficients indicated strong internal consistency of remote-DIN SRTs, which also correlated significantly with lab-DIN SRTs. There was no significant mean difference between remote- and lab-DIN on any tests. NH listeners had significantly higher SSQ scores, and remote- and lab-DIN SRTs than listeners with HL. All versions of remote-DIN SRTs correlated significantly with pure-tone-average (PTA), with the 2-kHz filtered test the best predictor, explaining 50% of variance in PTA. SSQ total score also significantly and independently predicted PTA (17% of variance) and all test versions of the remote-DIN, except the antiphasic BB test. This study shows that remote SSQ-12 and remote-DIN are sensitive tools for capturing important aspects of auditory function. Cold Spring Harbor Laboratory 2023-07-17 /pmc/articles/PMC9275664/ /pubmed/35821983 http://dx.doi.org/10.1101/2022.05.09.22274843 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Zadeh, Lina Motlagh
Brennan, Veronica
Swanepoel, De Wet
Lin, Li
Moore, David R.
Remote self-report and speech-in-noise measures predict clinical audiometric thresholds
title Remote self-report and speech-in-noise measures predict clinical audiometric thresholds
title_full Remote self-report and speech-in-noise measures predict clinical audiometric thresholds
title_fullStr Remote self-report and speech-in-noise measures predict clinical audiometric thresholds
title_full_unstemmed Remote self-report and speech-in-noise measures predict clinical audiometric thresholds
title_short Remote self-report and speech-in-noise measures predict clinical audiometric thresholds
title_sort remote self-report and speech-in-noise measures predict clinical audiometric thresholds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275664/
https://www.ncbi.nlm.nih.gov/pubmed/35821983
http://dx.doi.org/10.1101/2022.05.09.22274843
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