Benefits of a Hearing Registry: Cochlear Implant Candidacy in Quiet Versus Noise in 1,611 Patients
Purpose This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method Database queries identified 1,611 cochlear implant recipients wh...
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Published in | American journal of audiology Vol. 29; no. 4; pp. 851 - 861 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Speech-Language-Hearing Association
01.12.2020
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Subjects | |
Online Access | Get full text |
ISSN | 1059-0889 1558-9137 1558-9137 |
DOI | 10.1044/2020_AJA-20-00055 |
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Abstract | Purpose This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method Database queries identified 1,611 cochlear implant recipients who were divided into three implant candidacy qualifying groups based on preoperative speech perception scores (≤ 40% correct) on the AzBio sentence test: quiet qualifying group, +10 dB SNR qualifying group, and +5 dB SNR qualifying group. These groups were evaluated for demographic and preoperative hearing characteristics. Repeated-measures analysis of variance was used to compare pre- and postoperative performance on the AzBio in quiet and noise with qualifying group as a between-subjects factor. For a subset of recipients, pre- to postoperative changes on the Speech, Spatial and Qualities of Hearing Scale were also evaluated. Results Of the 1,611 patients identified as cochlear implant candidates, 63% of recipients qualified in quiet, 10% qualified in a +10 dB SNR, and 27% qualified in a +5 dB SNR. Postoperative speech perception scores in quiet and noise significantly improved for all qualifying groups. Across qualifying groups, the greatest speech perception improvements were observed when tested in the same qualifying listening condition. For a subset of patients, the total Speech, Spatial and Qualities of Hearing Scale ratings improved significantly as well. Conclusion Patients who qualified for cochlear implantation in quiet or background noise test conditions showed significant improvement in speech perception and quality of life scores, especially when the qualifying noise condition was used to track performance. |
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AbstractList | Purpose: This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method: Database queries identified 1,611 cochlear implant recipients who were divided into three implant candidacy qualifying groups based on preoperative speech perception scores ([less than or equal to] 40% correct) on the AzBio sentence test: quiet qualifying group, +10 dB SNR qualifying group, and +5 dB SNR qualifying group. These groups were evaluated for demographic and preoperative hearing characteristics. Repeated-measures analysis of variance was used to compare pre- and postoperative performance on the AzBio in quiet and noise with qualifying group as a between-subjects factor. For a subset of recipients, pre- to postoperative changes on the Speech, Spatial and Qualities of Hearing Scale were also evaluated. Results: Of the 1,611 patients identified as cochlear implant candidates, 63% of recipients qualified in quiet, 10% qualified in a +10 dB SNR, and 27% qualified in a +5 dB SNR. Postoperative speech perception scores in quiet and noise significantly improved for all qualifying groups. Across qualifying groups, the greatest speech perception improvements were observed when tested in the same qualifying listening condition. For a subset of patients, the total Speech, Spatial and Qualities of Hearing Scale ratings improved significantly as well. Conclusion: Patients who qualified for cochlear implantation in quiet or background noise test conditions showed significant improvement in speech perception and quality of life scores, especially when the qualifying noise condition was used to track performance. Purpose: This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method: Database queries identified 1,611 cochlear implant recipients who were divided into three implant candidacy qualifying groups based on preoperative speech perception scores (< 40% correct) on the AzBio sentence test: quiet qualifying group, +10 dB SNR qualifying group, and +5 dB SNR qualifying group. These groups were evaluated for demographic and preoperative hearing characteristics. Repeated-measures analysis of variance was used to compare pre- and postoperative performance on the AzBio in quiet and noise with qualifying group as a between-subjects factor. For a subset of recipients, pre- to postoperative changes on the Speech, Spatial and Qualities of Hearing Scale were also evaluated. Results: Of the 1,611 patients identified as cochlear implant candidates, 63% of recipients qualified in quiet, 10% qualified in a +10 dB SNR, and 27% qualified in a +5 dB SNR. Postoperative speech perception scores in quiet and noise significantly improved for all qualifying groups. Across qualifying groups, the greatest speech perception improvements were observed when tested in the same qualifying listening condition. For a subset of patients, the total Speech, Spatial and Qualities of Hearing Scale ratings improved significantly as well. Conclusion: Patients who qualified for cochlear implantation in quiet or background noise test conditions showed significant improvement in speech perception and quality of life scores, especially when the qualifying noise condition was used to track performance. Purpose This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method Database queries identified 1,611 cochlear implant recipients who were divided into three implant candidacy qualifying groups based on preoperative speech perception scores (≤ 40% correct) on the AzBio sentence test: quiet qualifying group, +10 dB SNR qualifying group, and +5 dB SNR qualifying group. These groups were evaluated for demographic and preoperative hearing characteristics. Repeated-measures analysis of variance was used to compare pre- and postoperative performance on the AzBio in quiet and noise with qualifying group as a between-subjects factor. For a subset of recipients, pre- to postoperative changes on the Speech, Spatial and Qualities of Hearing Scale were also evaluated. Results Of the 1,611 patients identified as cochlear implant candidates, 63% of recipients qualified in quiet, 10% qualified in a +10 dB SNR, and 27% qualified in a +5 dB SNR. Postoperative speech perception scores in quiet and noise significantly improved for all qualifying groups. Across qualifying groups, the greatest speech perception improvements were observed when tested in the same qualifying listening condition. For a subset of patients, the total Speech, Spatial and Qualities of Hearing Scale ratings improved significantly as well. Conclusion Patients who qualified for cochlear implantation in quiet or background noise test conditions showed significant improvement in speech perception and quality of life scores, especially when the qualifying noise condition was used to track performance.Purpose This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method Database queries identified 1,611 cochlear implant recipients who were divided into three implant candidacy qualifying groups based on preoperative speech perception scores (≤ 40% correct) on the AzBio sentence test: quiet qualifying group, +10 dB SNR qualifying group, and +5 dB SNR qualifying group. These groups were evaluated for demographic and preoperative hearing characteristics. Repeated-measures analysis of variance was used to compare pre- and postoperative performance on the AzBio in quiet and noise with qualifying group as a between-subjects factor. For a subset of recipients, pre- to postoperative changes on the Speech, Spatial and Qualities of Hearing Scale were also evaluated. Results Of the 1,611 patients identified as cochlear implant candidates, 63% of recipients qualified in quiet, 10% qualified in a +10 dB SNR, and 27% qualified in a +5 dB SNR. Postoperative speech perception scores in quiet and noise significantly improved for all qualifying groups. Across qualifying groups, the greatest speech perception improvements were observed when tested in the same qualifying listening condition. For a subset of patients, the total Speech, Spatial and Qualities of Hearing Scale ratings improved significantly as well. Conclusion Patients who qualified for cochlear implantation in quiet or background noise test conditions showed significant improvement in speech perception and quality of life scores, especially when the qualifying noise condition was used to track performance. Purpose This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise influenced patient selection, speech recognition, and self-report outcomes. Method Database queries identified 1,611 cochlear implant recipients who were divided into three implant candidacy qualifying groups based on preoperative speech perception scores (≤ 40% correct) on the AzBio sentence test: quiet qualifying group, +10 dB SNR qualifying group, and +5 dB SNR qualifying group. These groups were evaluated for demographic and preoperative hearing characteristics. Repeated-measures analysis of variance was used to compare pre- and postoperative performance on the AzBio in quiet and noise with qualifying group as a between-subjects factor. For a subset of recipients, pre- to postoperative changes on the Speech, Spatial and Qualities of Hearing Scale were also evaluated. Results Of the 1,611 patients identified as cochlear implant candidates, 63% of recipients qualified in quiet, 10% qualified in a +10 dB SNR, and 27% qualified in a +5 dB SNR. Postoperative speech perception scores in quiet and noise significantly improved for all qualifying groups. Across qualifying groups, the greatest speech perception improvements were observed when tested in the same qualifying listening condition. For a subset of patients, the total Speech, Spatial and Qualities of Hearing Scale ratings improved significantly as well. Conclusion Patients who qualified for cochlear implantation in quiet or background noise test conditions showed significant improvement in speech perception and quality of life scores, especially when the qualifying noise condition was used to track performance. |
Audience | Academic |
Author | Miller, Sharon E. Gifford, René H. Dunn, Camille Grisel, Jedidiah J. Schafer, Erin C. Silva, Christopher |
AuthorAffiliation | a Department of Otolaryngology—Head and Neck Surgery, The University of Iowa, Iowa City d Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN b Department of Audiology & Speech-Language Pathology, University of North Texas, Denton c Auditory Implant Initiative, Wichita Falls, TX e Texoma Hearing Institute, Wichita Falls, TX |
AuthorAffiliation_xml | – name: a Department of Otolaryngology—Head and Neck Surgery, The University of Iowa, Iowa City – name: e Texoma Hearing Institute, Wichita Falls, TX – name: c Auditory Implant Initiative, Wichita Falls, TX – name: d Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN – name: b Department of Audiology & Speech-Language Pathology, University of North Texas, Denton |
Author_xml | – sequence: 1 givenname: Camille surname: Dunn fullname: Dunn, Camille organization: Department of Otolaryngology—Head and Neck Surgery, The University of Iowa, Iowa City – sequence: 2 givenname: Sharon E. orcidid: 0000-0001-8875-6766 surname: Miller fullname: Miller, Sharon E. organization: Department of Audiology & Speech-Language Pathology, University of North Texas, Denton – sequence: 3 givenname: Erin C. surname: Schafer fullname: Schafer, Erin C. organization: Department of Audiology & Speech-Language Pathology, University of North Texas, Denton, Auditory Implant Initiative, Wichita Falls, TX – sequence: 4 givenname: Christopher surname: Silva fullname: Silva, Christopher organization: Auditory Implant Initiative, Wichita Falls, TX – sequence: 5 givenname: René H. surname: Gifford fullname: Gifford, René H. organization: Auditory Implant Initiative, Wichita Falls, TX, Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN – sequence: 6 givenname: Jedidiah J. surname: Grisel fullname: Grisel, Jedidiah J. organization: Auditory Implant Initiative, Wichita Falls, TX, Texoma Hearing Institute, Wichita Falls, TX |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32966101$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Editor: Andrea Warner-Czyz Disclosure: Camille Dunn is on the Audiology Advisory Board for Med-EL Corporation and Earlens Corporation and a consultant for Cochlear Corporation and Advanced Bionics. René Gifford is a consultant for Advanced Bionics, Cochlear Corporation, and Akouos and is on the clinical advisory board for Frequency Therapeutics. The Auditory Implant Initiative receives financial support from Cochlear Corporation. The Auditory Implant Initiative participated in study design and database management. Cochlear Corporation had no role in study design, selection of centers or manuscript creation. There are no other conflicts of interest. Editor-in-Chief: Ryan W. McCreery |
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Snippet | Purpose This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise... Purpose: This retrospective study used a cochlear implant registry to determine how performing speech recognition candidacy testing in quiet versus noise... |
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SubjectTerms | Analysis Assistive Technology Auditory Evaluation Auditory Perception Between-subjects design Cochlear implants Hearing Hearing loss Implants, Artificial Listening Listening Comprehension Medical equipment and supplies industry Medical test kit industry Meta Analysis Noise Patients Prosthesis Quality of life Sentences Speech Improvement Speech perception Speech tests Speeches Statistical Analysis Transplants & implants Voice recognition |
Title | Benefits of a Hearing Registry: Cochlear Implant Candidacy in Quiet Versus Noise in 1,611 Patients |
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