Consonant and Vowel Identification in Cochlear Implant Users Measured by Nonsense Words: A Systematic Review and Meta-Analysis.

Purpose: The purpose of this systematic review and meta-analysis was to establish a baseline of the vowel and consonant identification scores in prelingually and postlingually deaf users of multichannel cochlear implants (CIs) tested with consonant-vowel-consonant and vowel-consonant-vowel nonsense...

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Publicado en:Journal of Speech, Language & Hearing Research Vol. 61; no. 4; pp. 1023 - 1051
Autores principales: Kirkhorn Rødvik, Arne, von Koss Torkildsen, Janne, Ona Bø Wie, Aarvaag Storaker, Marit, Tapio Silvola, Juha
Formato: Artículo
Publicado: American Speech-Language-Hearing Association Apr2018
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2018
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      pub: American Speech-Language-Hearing Association
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        10.1044/2018_JSLHR-H-16-0463
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        atl: Consonant and Vowel Identification in Cochlear Implant Users Measured by Nonsense Words: A Systematic Review and Meta-Analysis.
      aug:
        au:
          Kirkhorn Rødvik, Arne
          von Koss Torkildsen, Janne
          Ona Bø Wie
          Aarvaag Storaker, Marit
          Tapio Silvola, Juha
        affil:
          Department of Special Needs Education, Faculty of Educational Sciences, University of Oslo, Norway
          Oslo University Hospital, Norway
          Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Norway
          Lillehammer Hospital, Norway
          Akershus University Hospital, Lørenskog, Norway
      su:
        Deaf people
        Cochlear implants
        Intelligibility of speech
        Vowels
        Consonants
      sug:
        subj:
          Deaf people
          Cochlear implants
          Intelligibility of speech
          Vowels
          Consonants
      ab: Purpose: The purpose of this systematic review and meta-analysis was to establish a baseline of the vowel and consonant identification scores in prelingually and postlingually deaf users of multichannel cochlear implants (CIs) tested with consonant-vowel-consonant and vowel-consonant-vowel nonsense syllables. Method: Six electronic databases were searched for peer-reviewed articles reporting consonant and vowel identification scores in CI users measured by nonsense words. Relevant studies were independently assessed and screened by 2 reviewers. Consonant and vowel identification scores were presented in forest plots and compared between studies in a meta-analysis. Results: Forty-seven articles with 50 studies, including 647 participants, thereof 581 postlingually deaf and 66 prelingually deaf, met the inclusion criteria of this study. The mean performance on vowel identification tasks for the postlingually deaf CI users was 76.8% (N = 5), which was higher than the mean performance for the prelingually deaf CI users (67.7%; N = 1). The mean performance on consonant identification tasks for the postlingually deaf CI users was higher (58.4%; N = 44) than for the prelingually deaf CI users (46.7%; N = 6). The most common consonant confusions were found between those with same manner of articulation (/k/ as /t/, /m/ as /n/, and /p/ as /t/). Conclusions: The mean performance on consonant identification tasks for the prelingually and postlingually deaf CI users was found. There were no statistically significant differences between the scores for prelingually and postlingually deaf CI users. The consonants that were incorrectly identified were typically confused with other consonants with the same acoustic properties, namely, voicing, duration, nasality, and silent gaps. A univariate metaregression model, although not statistically significant, indicated that duration of implant use in postlingually deaf adults predict a substantial portion of their consonant identification ability. As there is no ceiling effect, a nonsense syllable identification test may be a useful addition to the standard test battery in audiology clinics when assessing the speech perception of CI users.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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