Related Experiment Video
Updated: Jan 8, 2026

06:04
Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
730
Accuracy of the mobile application-based audiometry for screening hearing loss
Ramida Chuenchavalit1, Ramida Dindamrongkul1, Pattarawadee Prayuenyong1
1Department of Otolaryngology Head and Neck Surgery, Faculty of Medicine, Prince of Songkla University, Songkla, 90110, Thailand.
Summary
A mobile app showed 81.5% accuracy for hearing loss screening, performing best at high frequencies. Further development is needed to improve accuracy at lower frequencies.
Area of Science:
- Audiology
- Mobile Health Technology
- Diagnostic Accuracy Studies
Background:
- Hearing loss is a significant public health issue.
- Conventional audiometry is the standard for hearing assessment.
- Mobile health applications offer potential for accessible hearing screening.
Purpose of the Study:
- To compare the accuracy of a mobile application against conventional audiometry for hearing loss screening.
- To evaluate the sensitivity and specificity of the mobile application.
- To assess the agreement between mobile app and conventional audiometry measurements.
Main Methods:
- A cross-sectional study involving 200 participants aged 18-65.
- Comparison of pure tone thresholds (PTT) measured by a mobile app on an iPad versus conventional audiometry.
- Analysis using paired t-test and Bland-Altman plots for agreement and accuracy assessment.
Main Results:
- The mobile application achieved 81.5% overall accuracy in identifying hearing loss.
- Strong correlation and high sensitivity/specificity were found at 4, 6, and 8 kHz.
- Systematic and random errors were noted, with improved sensitivity post-correction.
Conclusions:
- The mobile application shows promise for screening high-frequency sensorineural hearing loss.
- Limitations exist at lower frequencies, requiring further application development.
- The app has potential as a supplementary tool for hearing loss detection.

