Literature DB >> 15506496

Predicting success with hearing aids in everyday living.

Therese C Walden1, Brian E Walden.   

Abstract

Persons with impaired hearing who are candidates for amplification are not all equally successful with hearing aids in daily living. Having the ability to predict success with amplification in everyday life from measures that can be obtained during an initial evaluation of the patient's candidacy would result in greater patient satisfaction with hearing aids and more efficient use of clinical resources. This study investigated the relationship between various demographic and audiometric measures, and two measures of hearing aid success in 50 hearing aid wearers. Audiometric predictors included measures of audibility and suprathreshold distortion. The unaided and aided signal-to-noise ratio (SNR) loss on the QuickSIN test provided the best predictors of hearing aid success in daily living. However, much of this predictive relationship appeared attributable to the patient's age.

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Year:  2004        PMID: 15506496     DOI: 10.3766/jaaa.15.5.2

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


  13 in total

1.  Improvements in speech understanding with wireless binaural broadband digital hearing instruments in adults with sensorineural hearing loss.

Authors:  Brian M Kreisman; Annette G Mazevski; Donald J Schum; Ravichandran Sockalingam
Journal:  Trends Amplif       Date:  2010-05-10

2.  Audiologist-driven versus patient-driven fine tuning of hearing instruments.

Authors:  Monique Boymans; Wouter A Dreschler
Journal:  Trends Amplif       Date:  2011-12-04

3.  [The age effect in evaluation of hearing aid benefits by speech audiometry].

Authors:  A Müller; T Hocke; U Hoppe; P Mir-Salim
Journal:  HNO       Date:  2016-03       Impact factor: 1.284

4.  Right-Ear Advantage for Speech-in-Noise Recognition in Patients with Nonlateralized Tinnitus and Normal Hearing Sensitivity.

Authors:  Yihsin Tai; Fatima T Husain
Journal:  J Assoc Res Otolaryngol       Date:  2017-11-27

5.  Consequences of broad auditory filters for identification of multichannel-compressed vowels.

Authors:  Pamela Souza; Richard Wright; Stephanie Bor
Journal:  J Speech Lang Hear Res       Date:  2011-12-29       Impact factor: 2.297

6.  Measuring the effects of spectral smearing and enhancement on speech recognition in noise for adults and children.

Authors:  Susan Nittrouer; Eric Tarr; Taylor Wucinich; Aaron C Moberly; Joanna H Lowenstein
Journal:  J Acoust Soc Am       Date:  2015-04       Impact factor: 1.840

7.  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 8.  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

9.  Hearing Aid Technology Settings and Speech-in-Noise Difficulties.

Authors:  Alyssa Davidson; Nicole Marrone; Pamela Souza
Journal:  Am J Audiol       Date:  2022-02-08       Impact factor: 1.636

10.  Role of Preoperative Patient Expectations in Adult Cochlear Implant Outcomes.

Authors:  Theodore R McRackan; Priyanka Reddy; Mark S Costello; Judy R Dubno
Journal:  Otol Neurotol       Date:  2021-02-01       Impact factor: 2.311

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