Literature DB >> 28025906

Accuracy of Mobile-Based Audiometry in the Evaluation of Hearing Loss in Quiet and Noisy Environments.

Joe Saliba1, Mahmoud Al-Reefi1, Junie S Carriere2, Neil Verma1, Christiane Provencal1, Jamie M Rappaport1.   

Abstract

Objectives (1) To compare the accuracy of 2 previously validated mobile-based hearing tests in determining pure tone thresholds and screening for hearing loss. (2) To determine the accuracy of mobile audiometry in noisy environments through noise reduction strategies. Study Design Prospective clinical study. Setting Tertiary hospital. Subjects and Methods Thirty-three adults with or without hearing loss were tested (mean age, 49.7 years; women, 42.4%). Air conduction thresholds measured as pure tone average and at individual frequencies were assessed by conventional audiogram and by 2 audiometric applications (consumer and professional) on a tablet device. Mobile audiometry was performed in a quiet sound booth and in a noisy sound booth (50 dB of background noise) through active and passive noise reduction strategies. Results On average, 91.1% (95% confidence interval [95% CI], 89.1%-93.2%) and 95.8% (95% CI, 93.5%-97.1%) of the threshold values obtained in a quiet sound booth with the consumer and professional applications, respectively, were within 10 dB of the corresponding audiogram thresholds, as compared with 86.5% (95% CI, 82.6%-88.5%) and 91.3% (95% CI, 88.5%-92.8%) in a noisy sound booth through noise cancellation. When screening for at least moderate hearing loss (pure tone average >40 dB HL), the consumer application showed a sensitivity and specificity of 87.5% and 95.9%, respectively, and the professional application, 100% and 95.9%. Overall, patients preferred mobile audiometry over conventional audiograms. Conclusion Mobile audiometry can correctly estimate pure tone thresholds and screen for moderate hearing loss. Noise reduction strategies in mobile audiometry provide a portable effective solution for hearing assessments outside clinical settings.

Entities:  

Keywords:  audiometry; automated; hearing loss; mobile; noise reduction

Mesh:

Year:  2016        PMID: 28025906     DOI: 10.1177/0194599816683663

Source DB:  PubMed          Journal:  Otolaryngol Head Neck Surg        ISSN: 0194-5998            Impact factor:   3.497


  19 in total

1.  Validation of a tablet-based assessment of auditory sensitivity for researchers.

Authors:  Kathryn Wiseman; Jerry Slotkin; Meredith Spratford; Amberlee Haggerty; Maggie Heusinkvelt; Sandra Weintraub; Richard Gershon; Ryan McCreery
Journal:  Behav Res Methods       Date:  2022-08-12

2.  Accuracy of self- and proxy-rated hearing among older adults with and without cognitive impairment.

Authors:  Alexander S Kim; Joshua F Betz; Marilyn Albert; Jennifer A Deal; Sarah P Faucette; Esther S Oh; Nicholas S Reed; Frank R Lin; Carrie L Nieman
Journal:  J Am Geriatr Soc       Date:  2021-11-23       Impact factor: 7.538

3.  Tablet-Based Hearing Test Among Child Clinical Populations: Performance and Preference.

Authors:  Kyoko Nagao; Alexa S Bullard; Lauren E Pasko; Olivia Pereira; Cassidy Walter; Mackenzie Hammond; Jenna Pellicori-Curry; Thierry Morlet
Journal:  Telemed J E Health       Date:  2018-10-25       Impact factor: 3.536

4.  Collecting Objective Measures of Visual and Auditory Function in a National in-Home Survey of Older Adults.

Authors:  Mengyao Hu; Vicki A Freedman; Joshua R Ehrlich; Nicholas S Reed; Catherine Billington; Judith D Kasper
Journal:  J Surv Stat Methodol       Date:  2021-02-14

Review 5.  Smartphone-Based Applications to Detect Hearing Loss: A Review of Current Technology.

Authors:  Alexandria L Irace; Rahul K Sharma; Nicholas S Reed; Justin S Golub
Journal:  J Am Geriatr Soc       Date:  2020-12-29       Impact factor: 5.562

6.  Hearing Tests Based on Biologically Calibrated Mobile Devices: Comparison With Pure-Tone Audiometry.

Authors:  Marcin Masalski; Tomasz Grysiński; Tomasz Kręcicki
Journal:  JMIR Mhealth Uhealth       Date:  2018-01-10       Impact factor: 4.773

7.  Mobile tablet audiometry in fluctuating autoimmune ear disease.

Authors:  Scott Kohlert; Matthew Bromwich
Journal:  J Otolaryngol Head Neck Surg       Date:  2017-03-07

8.  Volitional down-regulation of the primary auditory cortex via directed attention mediated by real-time fMRI neurofeedback.

Authors:  Matthew S Sherwood; Jason G Parker; Emily E Diller; Subhashini Ganapathy; Kevin Bennett; Jeremy T Nelson
Journal:  AIMS Neurosci       Date:  2018-07-07

9.  Hearing Loss, Hearing Aid Use, and Depressive Symptoms in Older Adults-Findings from the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS).

Authors:  Aishwarya Shukla; Nicholas S Reed; Nicole M Armstrong; Frank R Lin; Jennifer A Deal; Adele M Goman
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2021-02-17       Impact factor: 4.077

10.  Evaluation of Accuracy and Reliability of a Mobile Screening Audiometer in Normal Hearing Adults.

Authors:  Angela Colsman; Gernot G Supp; Joachim Neumann; Till R Schneider
Journal:  Front Psychol       Date:  2020-04-29
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