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Published on: October 3, 2018
Development and validation of the pediatric AzBio sentence lists
Anthony J Spahr1, Michael F Dorman, Leonid M Litvak
11Department of Research and Technology, Advanced Bionics Corporation, Valencia, California, USA; 2Department of Speech and Hearing Sciences, Arizona State University, Tempe, Arizona, USA; 3Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee, USA; and 4Mayo Clinic, Rochester, Minnesota, USA.
New Pediatric AzBio sentence lists were created and validated for assessing speech perception in children and adults with hearing loss. These lists offer equivalent difficulty for reliable performance evaluation over time and across conditions.
Area of Science:
- Audiology
- Speech-Language Pathology
- Hearing Science
Background:
- Evaluating speech perception in pediatric populations with hearing loss presents unique challenges.
- Existing adult-oriented materials may be inappropriate in difficulty or content for children.
- A need exists for validated, equivalent sentence lists for pediatric speech perception assessment.
Purpose of the Study:
- To create and validate a new set of equivalent sentence lists for assessing speech perception in listeners with hearing loss.
- To ensure lists are appropriate for pediatric use and suitable for adults with severe hearing impairment.
- To enable reliable evaluation of speech-understanding performance over time and across conditions.
Main Methods:
- Developed 16 equivalent sentence lists (20 sentences each) from the Pediatric AzBio corpus using cochlear implant simulation for intelligibility estimation.
- Validated list equivalency by testing adults and children with hearing loss.
- Employed a binomial distribution model to account for list variability and generate confidence intervals.
Main Results:
- Created 16 lists with average intelligibility ranging from 78.4% to 78.7%.
- Validation testing showed no significant differences in performance across lists for adult and pediatric cochlear implant users.
- A binomial model accurately predicted performance, capturing 94% of responses within 95% confidence intervals.
Conclusions:
- Cochlear implant simulation effectively estimates sentence intelligibility for evaluating hearing aid and cochlear implant users.
- The developed method for constructing equivalent lists and estimating variability is validated.
- The AzBio Pediatric Sentence Lists are validated as equivalent and appropriate for assessing speech understanding in children and adults with hearing loss.
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