Literature DB >> 32693613

Common Configurations of Real-Ear Aided Response Targets Prescribed by NAL-NL2 for Older Adults With Mild-to-Moderate Hearing Loss.

Justin Jensen1, Dhruv Vyas2, Dana Urbanski1, Harinath Garudadri3, Octav Chipara2, Yu-Hsiang Wu1.   

Abstract

Purpose This study investigates common real-ear aided response (REAR) configurations prescribed by the NAL-NL2 algorithm for older adults with hearing loss. Method A data set that is representative of the older adult U.S. population with mild-to-moderate sensorineural hearing loss was constructed from the audiometric data of 934 adults (aged 55-85 years) from the National Health and Nutrition Examination Survey years 1999-2012. Two clustering approaches were implemented to generate common REAR configurations for eight frequencies (0.25, 0.5, 1, 2, 3, 4, 6, and 8 kHz) at three input levels (55, 65, and 75 dB SPL). (a) In the REAR-based clustering approach, the National Health and Nutrition Examination Survey audiograms were first converted to REAR targets and then clustered to generate common REAR configurations. (b) In the audiogram-based clustering approach, the audiograms were first clustered into common hearing loss profiles and then converted to REAR configurations. The trade-off between the number of available REAR configurations and the percentage of the U.S. population whose hearing loss could be fit by at least one of them (i.e., percent coverage) was evaluated. Hearing loss fit was defined as less than ± 5-dB difference between an individual's REAR targets and those of the clustered REAR configuration. Results Percent coverage increases with the number of available REAR configurations, with four configurations resulting in 75% population coverage. Overall, REAR-based clustering yielded 5 percentage points better coverage on average compared to audiogram-based clustering. Conclusions The common REAR configurations can be used for programming the gain frequency responses in preconfigured over-the-counter hearing aids and provide clinically appropriate amplification settings for older adults with mild-to-moderate hearing loss.

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Year:  2020        PMID: 32693613      PMCID: PMC7842845          DOI: 10.1044/2020_AJA-20-00025

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


  15 in total

1.  Over-the-counter hearing aids: electroacoustic characteristics and possible target client groups.

Authors:  C M Cheng; B McPherson
Journal:  Audiology       Date:  2000 Mar-Apr

2.  Hearing loss prevalence and risk factors among older adults in the United States.

Authors:  Frank R Lin; Roland Thorpe; Sandra Gordon-Salant; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-02-27       Impact factor: 6.053

Review 3.  Emerging Technologies, Market Segments, and MarkeTrak 10 Insights in Hearing Health Technology.

Authors:  Brent Edwards
Journal:  Semin Hear       Date:  2020-02-10

4.  Hearing loss prevalence in the United States.

Authors:  Frank R Lin; John K Niparko; Luigi Ferrucci
Journal:  Arch Intern Med       Date:  2011-11-14

5.  Prevalence of hearing aid use among older adults in the United States.

Authors:  Wade Chien; Frank R Lin
Journal:  Arch Intern Med       Date:  2012-02-13

6.  Hearing loss and cognitive decline in older adults.

Authors:  Frank R Lin; Kristine Yaffe; Jin Xia; Qian-Li Xue; Tamara B Harris; Elizabeth Purchase-Helzner; Suzanne Satterfield; Hilsa N Ayonayon; Luigi Ferrucci; Eleanor M Simonsick
Journal:  JAMA Intern Med       Date:  2013-02-25       Impact factor: 21.873

7.  A "Goldilocks" Approach to Hearing Aid Self-Fitting: Ear-Canal Output and Speech Intelligibility Index.

Authors:  Carol Mackersie; Arthur Boothroyd; Alexandra Lithgow
Journal:  Ear Hear       Date:  2019 Jan/Feb       Impact factor: 3.570

8.  The Effects of Service-Delivery Model and Purchase Price on Hearing-Aid Outcomes in Older Adults: A Randomized Double-Blind Placebo-Controlled Clinical Trial.

Authors:  Larry E Humes; Sara E Rogers; Tera M Quigley; Anna K Main; Dana L Kinney; Christine Herring
Journal:  Am J Audiol       Date:  2017-03-01       Impact factor: 1.493

9.  Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility.

Authors:  Peggy B Nelson; Trevor T Perry; Melanie Gregan; Dianne VanTasell
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

10.  The NAL-NL2 Prescription Procedure.

Authors:  G Keidser; H Dillon; M Flax; T Ching; S Brewer
Journal:  Audiol Res       Date:  2011-03-23
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  1 in total

1.  Self-Adjustment of Hearing Aid Amplification for Lower Speech Levels: Independent Ratings, Paired Comparisons, and Speech Recognition.

Authors:  Trevor T Perry; Peggy B Nelson
Journal:  Am J Audiol       Date:  2022-03-22       Impact factor: 1.636

  1 in total

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