Literature DB >> 20458255

An internet-based hearing test for simple audiometry in nonclinical settings: preliminary validation and proof of principle.

Louise Honeth1, Christin Bexelius, Mikael Eriksson, Sven Sandin, Jan-Eric Litton, Ulf Rosenhall, Olof Nyrén, Dan Bagger-Sjöbäck.   

Abstract

OBJECTIVE: To investigate the validity and reproducibility of a newly developed internet-based self-administered hearing test using clinical pure-tone air-conducted audiometry as gold standard. STUDY
DESIGN: Cross-sectional intrasubject comparative study.
SETTING: Karolinska University Hospital, Solna, Sweden. PATIENTS: Seventy-two participants (79% women) with mean age of 45 years (range, 19-71 yr). Twenty participants had impaired hearing according to the gold standard test.
INTERVENTIONS: Hearing tests. MAIN OUTCOME MEASURES: The Pearson correlation coefficient between the results of the studied Internet-based hearing test and the gold standard test, the greatest mean differences in decibel between the 2 tests over tested frequencies, sensitivity and specificity to diagnose hearing loss defined by Heibel-Lidén, and test-retest reproducibility with the Pearson correlation coefficient.
RESULTS: The Pearson correlation coefficient was 0.94 (p < 0.0001) for the right ear and 0.93 for the left (p = 0.0001). The greatest mean differences were seen for the frequencies 2 and 4 kHz, with -5.6 dB (standard deviation, 8.29), and -5.1 dB (standard deviation, 6.9), respectively. The 75th percentiles of intraindividual test-gold standard differences did not exceed -10 dB for any of the frequencies. The sensitivity for hearing loss was 75% (95% confidence interval, 51%-90%), and the specificity was 96% (95% confidence interval, 86%-99%). The test-retest reproducibility was excellent, with a Pearson correlation coefficient of 0.99 (p < 0.0001) for both ears.
CONCLUSION: It is possible to assess hearing with reasonable accuracy using an Internet-based hearing test on a personal computer with headphones. The practical viability of self-administration in participants' homes needs further evaluation.

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Year:  2010        PMID: 20458255     DOI: 10.1097/MAO.0b013e3181de467a

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  11 in total

1.  Hearing Tests on Mobile Devices: Evaluation of the Reference Sound Level by Means of Biological Calibration.

Authors:  Marcin Masalski; Lech Kipiński; Tomasz Grysiński; Tomasz Kręcicki
Journal:  J Med Internet Res       Date:  2016-05-30       Impact factor: 5.428

2.  Cigarette- and snus-modified association between unprotected exposure to noise from hunting rifle caliber weapons and high frequency hearing loss. A cross-sectional study among swedish hunters.

Authors:  Louise Honeth; Peter Ström; Alexander Ploner; Dan Bagger-Sjöbäck; Ulf Rosenhall; Olof Nyrén
Journal:  Noise Health       Date:  2016 Nov-Dec       Impact factor: 0.867

3.  Shooting history and presence of high-frequency hearing impairment in swedish hunters: A cross-sectional internet-based observational study.

Authors:  Louise Honeth; Peter Ström; Alexander Ploner; Dan Bagger-Sjöbäck; Ulf Rosenhall; Olof Nyrén
Journal:  Noise Health       Date:  2015 Sep-Oct       Impact factor: 0.867

4.  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

5.  A Mobile Phone-Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study.

Authors:  Yuan-Chia Chu; Yen-Fu Cheng; Feipei Lai; Ying-Hui Lai; Yu Tsao; Tzong-Yang Tu; Shuenn Tsong Young; Tzer-Shyong Chen; Yu-Fang Chung; Wen-Huei Liao
Journal:  JMIR Mhealth Uhealth       Date:  2019-04-01       Impact factor: 4.773

6.  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

7.  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

8.  Sensitivity and Specificity of Automated Audiometry in Subjects with Normal Hearing or Hearing Impairment.

Authors:  Åsa Skjonsberg; Catrine Heggen; Meisere Jamil; Per Muhr; Ulf Rosenhall
Journal:  Noise Health       Date:  2019 Jan-Feb       Impact factor: 0.867

9.  A Smartphone-Based Approach to Screening for Sudden Sensorineural Hearing Loss: Cross-Sectional Validity Study.

Authors:  Heng-Yu Haley Lin; Yuan-Chia Chu; Ying-Hui Lai; Hsiu-Lien Cheng; Feipei Lai; Yen-Fu Cheng; Wen-Huei Liao
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-11       Impact factor: 4.773

10.  Personal Music Players Use and Other Noise Hazards among Children 11 to 12 Years Old.

Authors:  Weronika Swierniak; Elzbieta Gos; Piotr Henryk Skarzynski; Natalia Czajka; Henryk Skarzynski
Journal:  Int J Environ Res Public Health       Date:  2020-09-22       Impact factor: 3.390

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