Related Experiment Video
Updated: Sep 14, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
Some Considerations for the Use of the Abbreviated Profile of Hearing Aid Benefit (APHAB) as a Hearing-Aid Outcome
Larry E Humes1,2, Sumitrajit Dhar2, Jasleen Singh2
1Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, IN, USA.
Abstract:
The Abbreviated Profile of Hearing Aid Benefit (APHAB) has been one of the most frequently used patient-reported outcome measures (PROMs) since its inception 30 years ago. For the APHAB, single-valued 95% critical differences have been presented for the identification and interpretation of meaningful benefits in research and in the clinic. A narrative literature review of studies that used the global APHAB score as a hearing-aid outcome measure showed that the average benefit varied directly with the average unaided baseline score for each measure. Next, data from 584 older adults enrolled in our recently completed randomized controlled hearing-aid trial were examined. The same dependence of benefit scores on unaided baseline scores was observed in these data. Regression to the mean made relatively minor contributions to the observed dependence of APHAB scores on baseline unaided scores. These results indicate that the application of a single value for the 95% critical difference is not valid for the interpretation of APHAB scores. Rather, baseline-specific benefit criteria are needed. Based on these results, baseline-specific Minimal Detectable Differences (MDDs; or 95% critical differences) and Minimal Clinically Important Differences (MCIDs) using both distribution-based and anchor-based approaches were generated for the APHAB-global score.
More Related Videos
06:58A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
Published on: November 6, 2015
14:05Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
Published on: January 23, 2017