ASHA Learning Pass

This session describes a research investigation of speech recognition in quiet and noise in thousands of patients with varying degrees of hearing loss. Based on the data, the speaker provides clinical recommendations in which speech recognition in noise can become the default test of speech perception in routine audiologic assessment, and word recognition in quiet is only performed when it is likely to be suboptimal. The study also illustrates how speech recognition in quiet and noise is affected by pathology such as vestibular schwannomas. Finally, the presentation argues that making this subtle but profound transition to clinical practice of routine measurement of speech-in-noise abilities would allow the audiogram to better address patient concerns and provide information that is not captured through current practice.

This session was recorded at the 2023 ASHA Convention in Boston (session 1609).

Related Courses

See more sessions from the 2023 ASHA Convention.

Learning Outcomes
You will be able to:

• Apply speech-in-noise measurement in routine audiologic practice 
• Interpret good vs. poor speech-recognition abilities in quiet and noise for a given degree of hearing loss
• Predict which patients are likely to have suboptimal word recognition in quiet

Presenter Information

Dr. Matthew Fitzgerald, CCC-A, is the Chief of Audiology at Stanford University, where he oversees the adult and pediatric audiology practices.

Disclosures:

• None

Assessment Type

Self-assessment—Think about what you learned and report on the Completion Form how you will use your new knowledge.

To earn continuing education credit, you must complete the learning assessment by the end date below.

Program History and CE Information

Content origination date: November 2023
End date: April 21, 2030

This course is offered for 0.1 ASHA CEUs (Intermediate level, Professional area).