Validity of Automated Threshold Audiometry: A Systematic Review and Meta-Analysis.
Faheema Mahomed1, De Wet Swanepoel1,2,3, Robert H Eikelboom1,2,3
1Department of Communication Pathology, University of Pretoria, Pretoria, South Africa.
Ear and Hearing
|May 11, 2021
Summary
Automated audiometry demonstrates comparable test-retest reliability and accuracy to manual methods for hearing threshold assessment. Further validation is needed for specific populations and testing types.
Area of Science:
- Audiology
- Hearing Science
- Medical Technology
Background:
- Manual threshold audiometry is the established gold standard for hearing assessment.
- Automated audiometry offers potential for more efficient and standardized hearing testing.
- The validity of automated audiometry requires rigorous comparison against manual methods.
Purpose of the Study:
- To systematically review and meta-analyze the validity of automated threshold audiometry.
- To compare the test-retest reliability and accuracy of automated versus manual audiometry.
- To identify limitations in current validation data for automated audiometry.
Main Methods:
- A systematic literature review of peer-reviewed databases (MEDLINE, SCOPUS, PubMed) was conducted.
- A meta-analysis was performed on studies comparing manual and automated threshold audiometry within subjects.
- Data extraction focused on test-retest reliability and accuracy, using weighted mean differences.
Main Results:
- Twenty-nine reports on automated audiometry met inclusion criteria, primarily focusing on adults and air conduction.
- Meta-analysis showed test-retest reliability for automated audiometry was within typical variability of manual audiometry.
- Accuracy differences between manual and automated air conduction audiometry were comparable to test-retest differences.
Conclusions:
- Automated audiometry is an accurate method for measuring hearing thresholds.
- Validation data for automated bone conduction audiometry, pediatric use, and diverse hearing loss types remain limited.
- Further research is necessary to fully establish the utility of automated audiometry across all populations and conditions.


