Automated smartphone audiometry: Validation of a word recognition test app

Department

Audiology

Abstract

Objectives/Hypothesis: Develop and validate an automated smartphone word recognition test. Study Design: Cross-sectional case-control diagnostic test comparison. Methods: An automated word recognition test was developed as an app for a smartphone with earphones. English-speaking adults with recent audiograms and various levels of hearing loss were recruited from an audiology clinic and were administered the smartphone word recognition test. Word recognition scores determined by the smartphone app and the gold standard speech audiometry test performed by an audiologist were compared. Results: Test scores for 37 ears were analyzed. Word recognition scores determined by the smartphone app and audiologist testing were in agreement, with 86% of the data points within a clinically acceptable margin of error and a linear correlation value between test scores of 0.89. Conclusions: The WordRec automated smartphone app accurately determines word recognition scores. Level of Evidence: 3b. Laryngoscope, 128:707–712, 2018.

Document Type

Article

Publication Date

3-1-2018

Publication Title

Laryngoscope

ISSN

0023-852X

Volume

128

Issue

3

DOI

10.1002/lary.26638

First Page

707

Last Page

712

Link to Full Text

Share

COinS