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Automated smartphone audiometry: Validation of a word recognition test app
Author(s) -
Dewyer Nicholas A.,
Jiradejvong Patpong,
Henderson Sabes Jennifer,
Limb Charles J.
Publication year - 2018
Publication title -
the laryngoscope
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.181
H-Index - 148
eISSN - 1531-4995
pISSN - 0023-852X
DOI - 10.1002/lary.26638
Subject(s) - audiologist , audiogram , test (biology) , audiometry , speech recognition , audiology , word (group theory) , word recognition , computer science , medicine , hearing loss , mathematics , paleontology , geometry , reading (process) , political science , law , biology
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