Audiologist-driven versus patient-driven fine tuning of hearing instruments
- PMID: 22143874
- PMCID: PMC4040848
- DOI: 10.1177/1084713811424884
Audiologist-driven versus patient-driven fine tuning of hearing instruments
Abstract
Two methods of fine tuning the initial settings of hearing aids were compared: An audiologist-driven approach--using real ear measurements and a patient-driven fine-tuning approach--using feedback from real-life situations. The patient-driven fine tuning was conducted by employing the Amplifit(®) II system using audiovideo clips. The audiologist-driven fine tuning was based on the NAL-NL1 prescription rule. Both settings were compared using the same hearing aids in two 6-week trial periods following a randomized blinded cross-over design. After each trial period, the settings were evaluated by insertion-gain measurements. Performance was evaluated by speech tests in quiet, in noise, and in time-reversed speech, presented at 0° and with spatially separated sound sources. Subjective results were evaluated using extensive questionnaires and audiovisual video clips. A total of 73 participants were included. On average, higher gain values were found for the audiologist-driven settings than for the patient-driven settings, especially at 1000 and 2000 Hz. Better objective performance was obtained for the audiologist-driven settings for speech perception in quiet and in time-reversed speech. This was supported by better scores on a number of subjective judgments and in the subjective ratings of video clips. The perception of loud sounds scored higher than when patient-driven, but the overall preference was in favor of the audiologist-driven settings for 67% of the participants.
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References
-
- Boymans M. (2003). Intelligent processing to optimize the benefits of hearing aids (Doctoral dissertation). University of Amsterdam, Amsterdam, Netherlands
-
- Byrne D., Dillon H., Ching T. Y., Katsch R., Keidser G. (2001). NAL-NL1 procedure for fitting nonlinear hearing aids: Characteristics and comparisons with other procedures. Journal of the American Academy of Audiolog, 12(1), 37-51 - PubMed
-
- Ching T. Y., Dillon H., Katsch R., Byrne D. (2001). Maximizing effective audibility in hearing aid fitting. Ear and Hearing, 22, 212-224 - PubMed
-
- Cox R. M., Alexander G. C. (1992). Maturation of hearing aid benefit: Objective and subjective measurements. Ear and Hearing, 13, 131-141 - PubMed
-
- Cox R. M., Alexander G. C. (1995). The abbreviated profile of hearing aid benefit. Ear and Hearing, 16, 176-183 - PubMed
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