Original article
Published: 2024-12-16

Development and Validation of the italian Digit-in Noise test

Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro
https://orcid.org/0000-0002-2352-1146
Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro
https://orcid.org/0000-0001-7420-3845
Università degli Studi di Milano
Università degli Studi di Milano – Dipartimento di Informatica “Giovanni Degli Antoni"
https://orcid.org/0000-0001-7643-9915
Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno
https://orcid.org/0000-0001-9219-6175
Amplifon S.p.A.
Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro
https://orcid.org/0000-0002-9829-2229
Digits-in-noise, speech-in-noise, hearing screening, hearing loss, hearing test

Abstract

Objective: this research aims to validate the Digits in Noise test (DIN test) for the Italian language and develop a version capable of independently assessing both ears while maintaining acceptable administration times.

Methods: individual digits from 0 to 9 in italian were recorded and adjusted to equalize recognition probabilities. An iOS application (APP) was developed to independent ear test using triplets in noise. The application incorporates a new proprietary adaptive procedure developed by Amplifon to minimize the number of steps required to determine the Speech Reception Threshold (SRT).

Participants: 39 subjects for equalization of digits, 45 normal-hearing and 62 with varying hearing loss for normative-data assessment.

Results: The results demonstrate the ability to determine a threshold value for normal hearing consistent with existing literature and identify threshold values corresponding to the main World Health Organization (WHO) hearing loss (HL) categories.

Conclusions: The DIN test for the Italian language has been developed and validated to evaluate the SRT of each ear individually. The adaptive algorithm optimizes the necessary steps while maintaining acceptable test duration for both ears. Users can autonomously conduct the test using a standard personal iOS device (tablet or smartphone).

Affiliations

Pasquale Viola

Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro

Alessia Astorina

Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro

Antonio Mancuso

Università degli Studi di Milano

Giorgio Presti

Università degli Studi di Milano – Dipartimento di Informatica “Giovanni Degli Antoni"

Alfonso Scarpa

Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno

Carlo Baruffini

Amplifon S.p.A.

Giuseppe Chiarella

Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro

Copyright

© Società Italiana di Otorinolaringoiatria e chirurgia cervico facciale , 2024

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