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• W4281290120 abstract "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." @default.
• W4281290120 created "2022-05-24" @default.
• W4281290120 creator A5027728332 @default.
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• W4281290120 date "2022-05-10" @default.
• W4281290120 modified "2023-09-24" @default.
• W4281290120 title "Remote self-report and speech-in-noise measures predict clinical audiometric thresholds" @default.
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• W4281290120 doi "https://doi.org/10.1101/2022.05.09.22274843" @default.
• W4281290120 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35821983" @default.
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