Literature DB >> 15692307

Results from the Dutch speech-in-noise screening test by telephone.

Cas Smits1, Tammo Houtgast.   

Abstract

OBJECTIVE: The objective of the study was to implement a previously developed automatic speech-in-noise screening test by telephone (Smits, Kapteyn, & Houtgast, 2004), introduce it nationwide as a self-test, and analyze the results.
DESIGN: The test was implemented on an interactive voice response system, which can handle multiple lines. The test measures the speech reception threshold in speech-shaped noise by telephone (SRTTn) in an adaptive procedure using digit triplets as speech material. The test result is given as either good, insufficient, or poor. Questions about age, sex, and subjective rating of hearing were included in the test. The test was introduced as the National Hearing test and publicity was generated. In the first 4 mo, 65,924 people took the initiative and dialed the test. The possibility to use mobile phones was disabled because of significant worse results (0.7 dB) with that telephone type.
RESULTS: After applying exclusion criteria, results from 39,968 callers were analyzed. Seventy-five percent of the callers were older than 44 yr of age. Starting at about 45 yr of age, there is an increase in SRTTn with increasing age. SRTTns for men are significantly worse than SRTTns for women for age groups 50 to 54 and higher. Older people tend to rate their hearing better than might be expected from their SRTTn. However, after converting the mean SRTTn values per age group and per subjective score to percentile values, the values remain constant across age groups. Mean measurement error was within 1 dB. These errors increase with increasing SRTTn.
CONCLUSIONS: This study shows the implementation and results from a functional hearing screening test by telephone. The test can be done in about 3 minutes, 30 sec, including introductory text, explanation of the test procedure, test result, and recommendation for audiological evaluation. The high number of callers implies that the test is probably fulfilling the need for a functional hearing screening test and has enhanced public awareness about hearing loss.

Entities:  

Mesh:

Year:  2005        PMID: 15692307     DOI: 10.1097/00003446-200502000-00008

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


  30 in total

1.  Validation of a Computer-Administered Version of the Digits-in-Noise Test for Hearing Screening in the United States.

Authors:  Robert L Folmer; Jay Vachhani; Garnett P McMillan; Charles Watson; Gary R Kidd; M Patrick Feeney
Journal:  J Am Acad Audiol       Date:  2017-02       Impact factor: 1.664

2.  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

3.  Remote self-report and speech-in-noise measures predict clinical audiometric thresholds.

Authors:  Lina Motlagh Zadeh; Veronica Brennan; De Wet Swanepoel; Li Lin; David R Moore
Journal:  medRxiv       Date:  2022-07-07

4.  Diotic and Antiphasic Digits-in-noise Testing as a Hearing Screening and Triage Tool to Classify Type of Hearing Loss.

Authors:  Karina C De Sousa; Cas Smits; David R Moore; Hermanus C Myburgh; De Wet Swanepoel
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

5.  Guest editorial: accessible and affordable hearing health care for adults with mild to moderate hearing loss.

Authors:  Amy Donahue; Judy R Dubno; Lucille Beck
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

6.  A Smartphone National Hearing Test: Performance and Characteristics of Users.

Authors:  Karina C De Sousa; De Wet Swanepoel; David R Moore; Cas Smits
Journal:  Am J Audiol       Date:  2018-11-19       Impact factor: 1.493

7.  Development and validation of a digits-in-noise hearing test in Persian.

Authors:  Lina Motlagh Zadeh; Noah H Silbert; Katherine Sternasty; David R Moore
Journal:  Int J Audiol       Date:  2020-09-09       Impact factor: 2.117

Review 8.  Smartphone-Based Applications to Detect Hearing Loss: A Review of Current Technology.

Authors:  Alexandria L Irace; Rahul K Sharma; Nicholas S Reed; Justin S Golub
Journal:  J Am Geriatr Soc       Date:  2020-12-29       Impact factor: 5.562

Review 9.  Prevalence of age-related hearing loss in Europe: a review.

Authors:  Thomas Niklaus Roth; Dirk Hanebuth; Rudolf Probst
Journal:  Eur Arch Otorhinolaryngol       Date:  2011-04-17       Impact factor: 2.503

10.  Vision impairment and dual sensory problems in middle age.

Authors:  Piers Dawes; Christine Dickinson; Richard Emsley; Paul N Bishop; Karen J Cruickshanks; Mark Edmondson-Jones; Abby McCormack; Heather Fortnum; David R Moore; Paul Norman; Kevin Munro
Journal:  Ophthalmic Physiol Opt       Date:  2014-05-29       Impact factor: 3.117

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