Literature DB >> 30379683

Efficacy and Effectiveness of Advanced Hearing Aid Directional and Noise Reduction Technologies for Older Adults With Mild to Moderate Hearing Loss.

Yu-Hsiang Wu1, Elizabeth Stangl1, Octav Chipara2, Syed Shabih Hasan2, Sean DeVries3, Jacob Oleson3.   

Abstract

OBJECTIVES: The purpose of the present study was to investigate the laboratory efficacy and real-world effectiveness of advanced directional microphones (DM) and digital noise reduction (NR) algorithms (i.e., premium DM/NR features) relative to basic-level DM/NR features of contemporary hearing aids (HAs). The study also examined the effect of premium HAs relative to basic HAs and the effect of DM/NR features relative to no features.
DESIGN: Fifty-four older adults with mild-to-moderate hearing loss completed a single-blinded crossover trial. Two HA models, one a less-expensive, basic-level device (basic HA) and the other a more-expensive, advanced-level device (premium HA), were used. The DM/NR features of the basic HAs (i.e., basic features) were adaptive DMs and gain-reduction NR with fewer channels. In contrast, the DM/NR features of the premium HAs (i.e., premium features) included adaptive DMs and gain-reduction NR with more channels, bilateral beamformers, speech-seeking DMs, pinna-simulation directivity, reverberation reduction, impulse NR, wind NR, and spatial NR. The trial consisted of four conditions, which were factorial combinations of HA model (premium versus basic) and DM/NR feature status (on versus off). To blind participants regarding the HA technology, no technology details were disclosed and minimal training on how to use the features was provided. In each condition, participants wore bilateral HAs for 5 weeks. Outcomes regarding speech understanding, listening effort, sound quality, localization, and HA satisfaction were measured using laboratory tests, retrospective self-reports (i.e., standardized questionnaires), and in-situ self-reports (i.e., self-reports completed in the real world in real time). A smartphone-based ecological momentary assessment system was used to collect in-situ self-reports.
RESULTS: Laboratory efficacy data generally supported the benefit of premium DM/NR features relative to basic DM/NR, premium HAs relative to basic HAs, and DM/NR features relative to no DM/NR in improving speech understanding and localization performance. Laboratory data also indicated that DM/NR features could improve listening effort and sound quality compared with no features for both basic- and premium-level HAs. For real-world effectiveness, in-situ self-reports first indicated that noisy or very noisy situations did not occur very often in participants' daily lives (10.9% of the time). Although both retrospective and in-situ self-reports indicated that participants were more satisfied with HAs equipped with DM/NR features than without, there was no strong evidence to support the benefit of premium DM/NR features and premium HAs over basic DM/NR features and basic HAs, respectively.
CONCLUSIONS: Although premium DM/NR features and premium HAs outperformed their basic-level counterparts in well-controlled laboratory test conditions, the benefits were not observed in the real world. In contrast, the effect of DM/NR features relative to no features was robust both in the laboratory and in the real world. Therefore, the present study suggests that although both premium and basic DM/NR technologies evaluated in the study have the potential to improve HA outcomes, older adults with mild-to-moderate hearing loss are unlikely to perceive the additional benefits provided by the premium DM/NR features in their daily lives. Limitations concerning the study's generalizability (e.g., participant's lifestyle) are discussed.

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Mesh:

Year:  2019        PMID: 30379683      PMCID: PMC6491270          DOI: 10.1097/AUD.0000000000000672

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  63 in total

1.  Effect of preferred volume setting on speech audibility in different hearing aid circuits.

Authors:  P E Souza; V J Kitch
Journal:  J Am Acad Audiol       Date:  2001-09       Impact factor: 1.664

2.  Wind noise in hearing aids with directional and omnidirectional microphones: Polar characteristics of custom-made hearing aids.

Authors:  King Chung; Nicholas McKibben; Luc Mongeau
Journal:  J Acoust Soc Am       Date:  2010-04       Impact factor: 1.840

3.  The effect of hearing aid technologies on listening in an automobile.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Ruth A Bentler; Rachel W Stanziola
Journal:  J Am Acad Audiol       Date:  2013-06       Impact factor: 1.664

4.  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

5.  Objective measures of listening effort: effects of background noise and noise reduction.

Authors:  Anastasios Sarampalis; Sridhar Kalluri; Brent Edwards; Ervin Hafter
Journal:  J Speech Lang Hear Res       Date:  2009-04-20       Impact factor: 2.297

6.  Recognition of speech in noise with hearing aids using dual microphones.

Authors:  M Valente; D A Fabry; L G Potts
Journal:  J Am Acad Audiol       Date:  1995-11       Impact factor: 1.664

7.  Characteristics of Real-World Signal to Noise Ratios and Speech Listening Situations of Older Adults With Mild to Moderate Hearing Loss.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Syed Shabih Hasan; Anne Welhaven; Jacob Oleson
Journal:  Ear Hear       Date:  2018 Mar/Apr       Impact factor: 3.570

8.  Real-world benefit from directional microphone hearing aids.

Authors:  David Gnewikow; Todd Ricketts; Gene W Bratt; Laura C Mutchler
Journal:  J Rehabil Res Dev       Date:  2009

9.  Construct Validity of the Ecological Momentary Assessment in Audiology Research.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Xuyang Zhang; Ruth A Bentler
Journal:  J Am Acad Audiol       Date:  2015 Nov-Dec       Impact factor: 1.664

10.  Ecological Momentary Assessment: Feasibility, Construct Validity, and Future Applications.

Authors:  Barbra H B Timmer; Louise Hickson; Stefan Launer
Journal:  Am J Audiol       Date:  2017-10-12       Impact factor: 1.493

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  17 in total

1.  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

2.  Using Smartphone-Based Ecological Momentary Assessment in Audiology Research: The Participants' Perspective.

Authors:  Jingjing Xu; Yu-Hsiang Wu; Elizabeth Stangl; Jeff Crukley; Shareka Pentony; Jason Galster
Journal:  Am J Audiol       Date:  2020-11-09       Impact factor: 1.493

Review 3.  Applying the Hearing Aid Fitting Standard to Selection for Adults.

Authors:  Erin M Picou; Richard A Roberts; Gina Angley; Todd A Ricketts
Journal:  Semin Hear       Date:  2022-07-26

Review 4.  Statistical Considerations for Analyzing Ecological Momentary Assessment Data.

Authors:  Jacob J Oleson; Michelle A Jones; Erik J Jorgensen; Yu-Hsiang Wu
Journal:  J Speech Lang Hear Res       Date:  2021-12-15       Impact factor: 2.674

5.  Personal Characteristics Associated with Ecological Momentary Assessment Compliance in Adult Cochlear Implant Candidates and Users.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Jacob Oleson; Kristen Caraher; Camille Dunn
Journal:  J Am Acad Audiol       Date:  2021-10-20       Impact factor: 1.245

6.  GPS predicts stability of listening environment characteristics in one location over time among older hearing aid users.

Authors:  Erik J Jorgensen; Elizabeth Stangl; Octav Chipara; Helin Hernandez; Jacob Oleson; Yu-Hsiang Wu
Journal:  Int J Audiol       Date:  2020-10-19       Impact factor: 2.437

7.  Comparison of In-Situ and Retrospective Self-Reports on Assessing Hearing Aid Outcomes.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Anna Gudjonsdottir; Jacob Oleson; Ruth Bentler
Journal:  J Am Acad Audiol       Date:  2020-12-15       Impact factor: 1.245

8.  Why Ecological Momentary Assessment Surveys Go Incomplete: When It Happens and How It Impacts Data.

Authors:  Yu-Hsiang Wu; Jingjing Xu; Elizabeth Stangl; Shareka Pentony; Dhruv Vyas; Octav Chipara; Anna Gudjonsdottir; Jacob Oleson; Jason Galster
Journal:  J Am Acad Audiol       Date:  2020-12-15       Impact factor: 1.245

9.  Impact of hearing aid noise reduction algorithms on the speech-evoked auditory brainstem response.

Authors:  Hye Yoon Seol; Suyeon Park; Yoon Sang Ji; Sung Hwa Hong; Il Joon Moon
Journal:  Sci Rep       Date:  2020-07-01       Impact factor: 4.379

10.  Test-Retest Reliability of Ecological Momentary Assessment in Audiology Research.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Xuyang Zhang
Journal:  J Am Acad Audiol       Date:  2020-11-06       Impact factor: 1.664

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