Clinical validation of automated audiometry with continuous noise-monitoring in a clinically heterogeneous population outside a sound-treated environment

Int J Audiol. 2016 Sep;55(9):507-13. doi: 10.1080/14992027.2016.1178858. Epub 2016 May 20.

Abstract

Objective: Examine the accuracy of automated audiometry in a clinically heterogeneous population of adults using the KUDUwave automated audiometer.

Design: Prospective accuracy study. Manual audiometry was performed in a sound-treated room and automated audiometry was not conducted in a sound-treated environment.

Study sample: 42 consecutively recruited participants from a tertiary otolaryngology department in Western Australia.

Results: Absolute mean differences ranged between 5.12-9.68 dB (air-conduction) and 8.26-15 dB (bone-conduction). A total of 86.5% of manual and automated 4FAs were within 10 dB (i.e. ±5 dB); 94.8% were within 15 dB. However, there were significant (p < 0.05) differences between automated and manual audiometry at 250, 500, 1000, and 2000 Hz (air-conduction) and 500 and 1000 Hz (bone-conduction). The effect of age (≥55 years) on accuracy (p = 0.014) was not significant on linear regression (p > 0.05; R(2) =( ) 0.11). The presence of a hearing loss (better ear ≥26 dB) did not significantly affect accuracy (p = 0.604; air-conduction), (p = 0.218; bone-conduction).

Conclusions: This study provides clinical validation of automated audiometry using the KUDUwave in a clinically heterogeneous population, without the use of a sound-treated environment. Whilst threshold variations were statistically significant, future research is needed to ascertain the clinical significance of such variation.

Keywords: Automated audiometry; KUDUwave; audiometry; hearing loss; teleaudiology.

Publication types

  • Validation Study

MeSH terms

  • Acoustic Stimulation
  • Adult
  • Aged
  • Aged, 80 and over
  • Audiometry / methods*
  • Auditory Threshold
  • Automation
  • Bone Conduction
  • Environmental Monitoring / methods*
  • Female
  • Hearing Loss / diagnosis*
  • Hearing Loss / etiology
  • Hearing Loss / physiopathology
  • Hearing*
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • Reproducibility of Results
  • Risk Factors
  • Western Australia
  • Young Adult