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Title
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Flat-based fitting: the evaluation and usefulness of a new strategy-based fitting approach for cochlear implants
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Author
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Abstract
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| Purpose The traditional fitting method for cochlear implants (CI), the single-channel fitting (SCF), is effective but time-consuming. A fitting method that is significantly faster to perform, but provides at least equivalent speech understanding and subjective benefit would be of clinical usefulness. The study explored the ability of flat strategy-based fitting (FSBF) maps to fill this need. Methods Participants were 16 experienced CI users. They were fit with: SCF maps; the maps that the participants used in their everyday lives, called fine-tuned clinical (FTC) maps; and FSBF maps. The fittings were assessed objectively via speech understanding in noise, time needed to create the map, deviation from FTC map, and correlation between auditory response telemetry thresholds and normalized charge levels; and subjectively via spectral balance and hearing quality. Results FSBF maps were significantly faster to generate. FTC maps provided the best subjective hearing quality. In all other assessments, no significant differences were found. Discussion FSBF maps can save time and provide CI users with the same level of speech understanding in noise. Participants may have preferred the FTC maps that they were already acclimated to them. These results suggest that the FSBF method could be used in first-fittings or in challenging fitting situations, but subsequent fine-tuning is required in follow-up appointments to improve sound quality. Conclusion The FSBF method can be a useful and time-saving alternative fitting method in first-fittings or in challenging fitting situations. |
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Language
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English
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Source (journal)
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European archives of oto-rhino-laryngology / European Federation of Oto-Rhino-Laryngological Societies; European Laryngological Society. - Berlin, 1990, currens
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Publication
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Berlin
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Springer
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2019
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ISSN
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0937-4477
[print]
1434-4726
[online]
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DOI
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10.1007/S00405-019-05603-5
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Volume/pages
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276
:11
(2019)
, p. 3239-3245
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ISI
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000492037800036
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Pubmed ID
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31489495
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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