Journal article
Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL)
International journal of audiology, Vol.55(5), pp.285-294
05/03/2016
DOI: 10.3109/14992027.2015.1120892
PMCID: PMC4823154
PMID: 26878163
Abstract
Objective: Determine the extent to which pre-fitting acceptable noise level (ANL), with or without other predictors such as hearing-aid experience, can predict real-world hearing-aid outcomes at three and 12 months post-fitting. Design: ANLs were measured before hearing-aid fitting. Post-fitting outcome was assessed using the international outcome inventory for hearing aids (IOI-HA) and a hearing-aid use questionnaire. Models that predicted outcomes (successful vs. unsuccessful) were built using logistic regression and several machine learning algorithms, and were evaluated using the cross-validation technique. Study sample: A total of 132 adults with hearing impairment. Results: The prediction accuracy of the models ranged from 61% to 68% (IOI-HA) and from 55% to 61% (hearing-aid use questionnaire). The models performed more poorly in predicting 12-month than three-month outcomes. The ANL cutoff between successful and unsuccessful users was higher for experienced (similar to 18 dB) than first-time hearing-aid users (similar to 10 dB), indicating that most experienced users will be predicted as successful users regardless of their ANLs. Conclusions: Pre-fitting ANL is more useful in predicting short-term (three months) hearing-aid outcomes for first-time users, as measured by the IOI-HA. The prediction accuracy was lower than the accuracy reported by some previous research that used a cross-sectional design.
Details
- Title: Subtitle
- Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL)
- Creators
- Yu-Hsiang Wu - University of IowaHsu-Chueh Ho - b Department of Otolaryngology , Buddhist Dalin Tzu-Chi General Hospital , Chiayi , Taiwan .Shih-Hsuan Hsiao - Tzu Chi UniversityRyan B Brummet - University of IowaOctav Chipara - University of Iowa
- Resource Type
- Journal article
- Publication Details
- International journal of audiology, Vol.55(5), pp.285-294
- DOI
- 10.3109/14992027.2015.1120892
- PMID
- 26878163
- PMCID
- PMC4823154
- NLM abbreviation
- Int J Audiol
- ISSN
- 1499-2027
- eISSN
- 1708-8186
- Publisher
- TAYLOR & FRANCIS LTD
- Number of pages
- 10
- Grant note
- DTCRD100(2)-E-07 / Buddhist Dalin Tzu-Chi General Hospital, Chiayi, Taiwan R03-DC012551; R01-DC012769 / National Institute on Deafness and Other Communication Disorders, USA
- Language
- English
- Date published
- 05/03/2016
- Academic Unit
- Communication Sciences and Disorders; Computer Science
- Record Identifier
- 9984258846302771
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