Literature DB >> 29557793

School-Age Hearing Screening Based on Speech-in-Noise Perception Using the Digit Triplet Test.

Sam Denys1, Michael Hofmann1, Heleen Luts1, Cécile Guérin2,3, Ann Keymeulen2, Katelijne Van Hoeck2, Astrid van Wieringen1, Karel Hoppenbrouwers3, Jan Wouters1.   

Abstract

OBJECTIVES: This study aims to investigate the large-scale applicability of the Digit Triplet test (DTT) for school-age hearing screening in fifth grade elementary (5E) (9 to 12 years old) and third grade secondary (3S) (13 to 16 years old) school children. The reliability of the test is investigated as well as whether pass/fail criteria need to be corrected for training and/or age, and whether these criteria have to be refined with respect to referral rates and pure-tone audiometry results.
DESIGN: Eleven school health service centers participated in the region of Flanders (the Northern part of Belgium). Pure-tone screening tests, which are commonly used for hearing screening in school children, were replaced by the DTT. Initial pass/fail criteria were determined. Children with speech reception thresholds (SRT) of -7.2 dB signal to noise ratio (SNR) (5E) and -8.3 dB SNR (3S) or worse were referred for an audiogram and follow-up. In total, n = 3412 (5E) and n = 3617 (3S) children participated.
RESULTS: Population SRTs (±2 SD) were -9.8 (±1.8) dB SNR (5E) and -10.5 (±1.6) dB SNR (3S), and do not need correction for training and/or age. Whereas grade-specific pass/fail criteria are more appropriate, a linear regression analysis showed an improvement of 0.2 dB per year of the SRT until late adolescence. SRTs could be estimated with a within-measurement reliability of 0.6 dB. Test duration was also grade-dependent, and was 6 min 50 sec (SD = 61 sec) (5E) and 5 min 45 sec (SD = 49 sec) (3S) on average for both ears. The SRT, test reliability, and test duration were comparable across centers. With initial cut-off values, 2.9% (5E) and 3.5% (3S) of children were referred. Based on audiograms of n = 39 (5E) and n = 59 (3S) children, the diagnostic accuracy of the DTT was assessed. A peripheral hearing loss was detected in 31% (5E) and 53% (3S) of the referred children. Hearing losses found were mild. Less strict pass/fail criteria increased the diagnostic accuracy. Optimal pass/fail criteria were determined at -6.5 dB SNR (5E) and -8.1 dB SNR (3S). With these criteria, referral rates dropped to 1.3% (5E) and 2.4% (3S).
CONCLUSIONS: The DTT has been implemented as the new hearing screening methodology in the Flemish school-age hearing screening program. Based on the results of this study, pass/fail criteria were determined and optimized to be used for systematic hearing screening of 5E and 3S school children. Furthermore, this study provides reference values for the DTT in children 9 to 16 years of age. Reliable SRTs can be obtained with the test, allowing accurate monitoring of hearing over time. This is important in the context of a screening guideline, which aims to identify children with noise-induced hearing loss. Validation of the screening result should go beyond taking an audiogram, as a peripheral hearing impairment cannot always be found in children with a failed test.

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Year:  2018        PMID: 29557793     DOI: 10.1097/AUD.0000000000000563

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


  9 in total

1.  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

2.  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

3.  The Feasibility and Reliability of a Digits-in-Noise Test in the Clinical Follow-Up of Children With Mild to Profound Hearing Loss.

Authors:  Jantien Vroegop; Marian Rodenburg-Vlot; André Goedegebure; Agnes Doorduin; Nienke Homans; Marc van der Schroeff
Journal:  Ear Hear       Date:  2021 July/Aug       Impact factor: 3.562

4.  FreeHear: A New Sound-Field Speech-in-Babble Hearing Assessment Tool.

Authors:  David R Moore; Helen Whiston; Melanie Lough; Antonia Marsden; Harvey Dillon; Kevin J Munro; Michael A Stone
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

5.  Improving Sensitivity of the Digits-In-Noise Test Using Antiphasic Stimuli.

Authors:  Karina C De Sousa; De Wet Swanepoel; David R Moore; Hermanus Carel Myburgh; Cas Smits
Journal:  Ear Hear       Date:  2020 Mar/Apr       Impact factor: 3.570

Review 6.  Development and Evaluation of a Language-Independent Test of Auditory Discrimination for Referrals for Cochlear Implant Candidacy Assessment.

Authors:  Teresa Y C Ching; Harvey Dillon; Sanna Hou; Mark Seeto; Ana Sodan; Nicky Chong-White
Journal:  Ear Hear       Date:  2021-11-19       Impact factor: 3.562

7.  Language-Independent Hearing Screening - Increasing the Feasibility of a Hearing Screening Self-Test at School-Entry.

Authors:  Elien Van den Borre; Sam Denys; Lea Zupan; Jan A P M de Laat; Nina Božanić Urbančič; Astrid van Wieringen; Jan Wouters
Journal:  Trends Hear       Date:  2022 Jan-Dec       Impact factor: 3.496

8.  Noise Disturbance and Potential Hearing Loss Due to Exposure of Dental Equipment in Flemish Dentists.

Authors:  Michael Dierickx; Suzanne Verschraegen; Els Wierinck; Guy Willems; Astrid van Wieringen
Journal:  Int J Environ Res Public Health       Date:  2021-05-24       Impact factor: 3.390

9.  Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds.

Authors:  Sam Denys; Jan De Laat; Wouter Dreschler; Michael Hofmann; Astrid van Wieringen; Jan Wouters
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

  9 in total

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