Literature DB >> 29401059

Survey of Current Practice in the Fitting and Fine-Tuning of Common Signal-Processing Features in Hearing Aids for Adults.

Melinda C Anderson1,2, Kathryn H Arehart2, Pamela E Souza3.   

Abstract

BACKGROUND: Current guidelines for adult hearing aid fittings recommend the use of a prescriptive fitting rationale with real-ear verification that considers the audiogram for the determination of frequency-specific gain and ratios for wide dynamic range compression. However, the guidelines lack recommendations for how other common signal-processing features (e.g., noise reduction, frequency lowering, directional microphones) should be considered during the provision of hearing aid fittings and fine-tunings for adult patients.
PURPOSE: The purpose of this survey was to identify how audiologists make clinical decisions regarding common signal-processing features for hearing aid provision in adults. RESEARCH
DESIGN: An online survey was sent to audiologists across the United States. The 22 survey questions addressed four primary topics including demographics of the responding audiologists, factors affecting selection of hearing aid devices, the approaches used in the fitting of signal-processing features, and the strategies used in the fine-tuning of these features. STUDY SAMPLE: A total of 251 audiologists who provide hearing aid fittings to adults completed the electronically distributed survey. The respondents worked in a variety of settings including private practice, physician offices, university clinics, and hospitals/medical centers. DATA COLLECTION AND ANALYSIS: Data analysis was based on a qualitative analysis of the question responses. The survey results for each of the four topic areas (demographics, device selection, hearing aid fitting, and hearing aid fine-tuning) are summarized descriptively.
RESULTS: Survey responses indicate that audiologists vary in the procedures they use in fitting and fine-tuning based on the specific feature, such that the approaches used for the fitting of frequency-specific gain differ from other types of features (i.e., compression time constants, frequency lowering parameters, noise reduction strength, directional microphones, feedback management). Audiologists commonly rely on prescriptive fitting formulas and probe microphone measures for the fitting of frequency-specific gain and rely on manufacturers' default settings and recommendations for both the initial fitting and the fine-tuning of signal-processing features other than frequency-specific gain.
CONCLUSIONS: The survey results are consistent with a lack of published protocols and guidelines for fitting and adjusting signal-processing features beyond frequency-specific gain. To streamline current practice, a transparent evidence-based tool that enables clinicians to prescribe the setting of other features from individual patient characteristics would be desirable. American Academy of Audiology

Entities:  

Mesh:

Year:  2018        PMID: 29401059      PMCID: PMC6366669          DOI: 10.3766/jaaa.16107

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  18 in total

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Authors:  Jill E Preminger; Ryan Carpenter; Craig H Ziegler
Journal:  J Am Acad Audiol       Date:  2005-09       Impact factor: 1.664

Review 2.  Evidence-based practice in provision of amplification.

Authors:  Robyn M Cox
Journal:  J Am Acad Audiol       Date:  2005 Jul-Aug       Impact factor: 1.664

3.  The effects of digital noise reduction on the acceptance of background noise.

Authors:  H Gustav Mueller; Jennifer Weber; Benjamin W Y Hornsby
Journal:  Trends Amplif       Date:  2006-06

4.  Interactions between cognition, compression, and listening conditions: effects on speech-in-noise performance in a two-channel hearing aid.

Authors:  Thomas Lunner; Elisabet Sundewall-Thorén
Journal:  J Am Acad Audiol       Date:  2007 Jul-Aug       Impact factor: 1.664

5.  Cognition and aided speech recognition in noise: specific role for cognitive factors following nine-week experience with adjusted compression settings in hearing aids.

Authors:  Mary Rudner; Catharina Foo; Jerker Rönnberg; Thomas Lunner
Journal:  Scand J Psychol       Date:  2009-10

6.  Development of a new method for deriving initial fittings for hearing aids with multi-channel compression: CAMEQ2-HF.

Authors:  Brian C J Moore; Brian R Glasberg; Michael A Stone
Journal:  Int J Audiol       Date:  2010-03       Impact factor: 2.117

7.  Acoustical and Perceptual Comparison of Noise Reduction and Compression in Hearing Aids.

Authors:  Inge Brons; Rolph Houben; Wouter A Dreschler
Journal:  J Speech Lang Hear Res       Date:  2015-08-01       Impact factor: 2.297

8.  Pediatric Audiology in North America: Current Clinical Practice and How It Relates to the American Academy of Audiology Pediatric Amplification Guideline.

Authors:  Sheila Moodie; Eileen Rall; Leisha Eiten; George Lindley; Dave Gordey; Lisa Davidson; Marlene Bagatto; Susan Scollie
Journal:  J Am Acad Audiol       Date:  2016-03       Impact factor: 1.664

9.  Factors influencing individual variation in perceptual directional microphone benefit.

Authors:  Gitte Keidser; Harvey Dillon; Elizabeth Convery; Jorge Mejia
Journal:  J Am Acad Audiol       Date:  2013 Nov-Dec       Impact factor: 1.664

10.  Hearing aid troubleshooting based on patients' descriptions.

Authors:  Lorienne M Jenstad; Dianne J Van Tasell; Chiquita Ewert
Journal:  J Am Acad Audiol       Date:  2003-09       Impact factor: 1.664

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  15 in total

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Journal:  J Speech Lang Hear Res       Date:  2020-01-15       Impact factor: 2.297

2.  Quantifying the Range of Signal Modification in Clinically Fit Hearing Aids.

Authors:  Varsha Rallapalli; Melinda Anderson; James Kates; Lauren Balmert; Lynn Sirow; Kathryn Arehart; Pamela Souza
Journal:  Ear Hear       Date:  2020 Mar/Apr       Impact factor: 3.570

3.  Classification of Hearing Aids Into Feature Profiles Using Hierarchical Latent Class Analysis Applied to a Large Dataset of Hearing Aids.

Authors:  Simon Lansbergen; Wouter A Dreschler
Journal:  Ear Hear       Date:  2020 Nov/Dec       Impact factor: 3.570

4.  The use of self-report measures to examine changes in perception in response to fittings using different signal processing parameters.

Authors:  Melinda Anderson; Varsha Rallapalli; Tim Schoof; Pamela Souza; Kathryn Arehart
Journal:  Int J Audiol       Date:  2018-07-27       Impact factor: 2.117

5.  Understanding Variability in Individual Response to Hearing Aid Signal Processing in Wearable Hearing Aids.

Authors:  Pamela Souza; Kathryn Arehart; Tim Schoof; Melinda Anderson; Dorina Strori; Lauren Balmert
Journal:  Ear Hear       Date:  2019 Nov/Dec       Impact factor: 3.570

6.  Factors Affecting the Use of Speech Testing in Adult Audiology.

Authors:  Bhavisha J Parmar; Saima L Rajasingam; Jennifer K Bizley; Deborah A Vickers
Journal:  Am J Audiol       Date:  2022-06-23       Impact factor: 1.636

Review 7.  APSO Standards: Implementing Hearing Aid Needs Assessments and Measuring Related Outcomes.

Authors:  Michelle L Arnold; Victoria A Sanchez
Journal:  Semin Hear       Date:  2022-07-26

8.  Amplification Self-Adjustment: Controls and Repeatability.

Authors:  Arthur Boothroyd; Jennifer Retana; Carol L Mackersie
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

9.  Does the Speech Cue Profile Affect Response to Amplitude Envelope Distortion?

Authors:  Pamela E Souza; Gregory Ellis; Kendra Marks; Richard Wright; Frederick Gallun
Journal:  J Speech Lang Hear Res       Date:  2021-05-21       Impact factor: 2.297

10.  Influence of Three Auditory Profiles on Aided Speech Perception in Different Noise Scenarios.

Authors:  Mengfan Wu; Oscar M Cañete; Jesper Hvass Schmidt; Michal Fereczkowski; Tobias Neher
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

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