TY - JOUR
T1 - Clinical validation of automated audiometry with continuous noise-monitoring in a clinically heterogeneous population outside a sound-treated environment
AU - Brennan-Jones, Christopher
AU - Eikelboom, Robert
AU - Swanepoel, De Wet
AU - Friedland, Peter
AU - Atlas, Marcus
PY - 2016/9/1
Y1 - 2016/9/1
N2 - © 2016 British Society of Audiology, International Society of Audiology, and Nordic Audiological Society.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; R2=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.
AB - © 2016 British Society of Audiology, International Society of Audiology, and Nordic Audiological Society.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; R2=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.
U2 - 10.1080/14992027.2016.1178858
DO - 10.1080/14992027.2016.1178858
M3 - Article
C2 - 27206551
SN - 1499-2027
VL - 55
SP - 507
EP - 513
JO - International Journal of Audiology
JF - International Journal of Audiology
IS - 9
ER -