Literature DB >> 31830215

Audiology Practices in the Preoperative Evaluation and Management of Adult Cochlear Implant Candidates.

Sandra Prentiss1, Hillary Snapp1, Teresa Zwolan2.   

Abstract

Importance: Currently, no clear guidelines exist regarding clinical testing methods for identifying adult cochlear implant (CI) candidates. Indications provided by the US Food and Drug Administration, Medicare, and private insurers are ambiguous concerning test materials and the level and mode of test presentation. This could lead to wide variability in clinical assessment and, potentially, unequal access to CIs for individuals with clinically significant hearing loss. Objective: To examine the preoperative testing methods used by audiologists in evaluating adult CI candidates across the United States. Design, Setting, and Participants: A survey assessing audiology practice patterns was created using a Research Electronic Data Capture system hosted at the University of Miami. A link to a survey (65 questions in multiple-choice or rank-order format was distributed electronically along with a request for completion to members of the American Cochlear Implant Alliance and to the Institute for Cochlear Implant Training forum. Responses were collected from January 17 to June 4, 2018. Participation was limited to audiologists who evaluate adult CI candidates, and respondents who do not provide adult CI care were excluded. Collected demographic information included work setting, years of experience, and highest level of education attained. Main Outcomes and Measures: Percentages, medians, and interquartile ranges were from aggregated responses concerning hearing aid verification methods; testing methods, materials, and practices; nonauditory factors that might affect CI candidacy; audiology practice patterns; and expanded indications for CIs.
Results: Anonymized surveys were returned by 99 respondents; because surveys were available electronically, the number of audiologists who viewed the survey but did not respond was not available. Seven respondents identified themselves as pediatric specialists and were excluded, resulting in a total of 92 surveys available for analysis (denominators vary because respondents could complete the survey without answering all questions). Seventy percent of respondents (51 of 72) were doctors of audiology, and nearly 50% (33 of 74) were employed at universities and academic centers performing more than 50 CIs per year. When assessing adult candidacy for implant, most respondents reported using test materials from the Minimum Speech Test Battery: 96% (51 of 53), using AzBio sentences in quiet; 89% (47 of 53), AzBio sentences in noise; and 100% (53 of 53), the consonant-vowel nucleus-consonant, monosyllabic words test. However, these tests were applied inconsistently, with 39 of 53 respondents (74%) reporting use of a sound pressure level scale and the other 14 (26%) a hearing level scale at various decibel levels, and with some using a single signal-to-noise ratio and others using multiple ratios for sound-in-noise tests. Respondents' definitions of the best aided listening condition for assessing implant candidates also varied widely. Among the nonauditory factors ranked most important for assessing CI candidacy were patient's level of cognition and expectations of CI; yet, few respondents reported including cognitive or psychological tests in the assessment protocol. Conclusions and Relevance: Findings of this study reveal considerable variability in preoperative testing methods and practices across health care professionals assessing adult candidates for CI. This lack of standardization in the delivery of care may increase the risk for health care inequities, specifically in access to care for adults with clinically significant hearing loss.

Entities:  

Year:  2020        PMID: 31830215      PMCID: PMC6990940          DOI: 10.1001/jamaoto.2019.3760

Source DB:  PubMed          Journal:  JAMA Otolaryngol Head Neck Surg        ISSN: 2168-6181            Impact factor:   6.223


  21 in total

1.  Relations among linguistic and cognitive skills and spoken word recognition in adults with cochlear implants.

Authors:  Elizabeth A Collison; Benjamin Munson; Arlene Earley Carney
Journal:  J Speech Lang Hear Res       Date:  2004-06       Impact factor: 2.297

2.  Speech recognition in quiet and noise in borderline cochlear implant candidates.

Authors:  Farah Mohd Alkaf; Jill B Firszt
Journal:  J Am Acad Audiol       Date:  2007 Nov-Dec       Impact factor: 1.664

3.  Development and validation of the AzBio sentence lists.

Authors:  Anthony J Spahr; Michael F Dorman; Leonid M Litvak; Susan Van Wie; Rene H Gifford; Philipos C Loizou; Louise M Loiselle; Tyler Oakes; Sarah Cook
Journal:  Ear Hear       Date:  2012 Jan-Feb       Impact factor: 3.570

4.  Older Individuals Meeting Medicare Cochlear Implant Candidacy Criteria in Noise but Not in Quiet: Are These Patients Improved by Surgery?

Authors:  Jordan A Mudery; Ross Francis; Hilary McCrary; Abraham Jacob
Journal:  Otol Neurotol       Date:  2017-02       Impact factor: 2.311

5.  Preserved acoustic hearing in cochlear implantation improves speech perception.

Authors:  Sterling W Sheffield; Kelly Jahn; René H Gifford
Journal:  J Am Acad Audiol       Date:  2015-02       Impact factor: 1.664

Review 6.  Classification and epidemiology of MCI.

Authors:  Rosebud Roberts; David S Knopman
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

7.  Evidence for the expansion of adult cochlear implant candidacy.

Authors:  René H Gifford; Michael F Dorman; Jon K Shallop; Sarah A Sydlowski
Journal:  Ear Hear       Date:  2010-04       Impact factor: 3.570

8.  Performance outcomes for borderline cochlear implant recipients with substantial preoperative residual hearing.

Authors:  Michelle L Hughes; Donna L Neff; Jeffrey L Simmons; Mary Pat Moeller
Journal:  Otol Neurotol       Date:  2014-09       Impact factor: 2.311

9.  Current Profile of Adults Presenting for Preoperative Cochlear Implant Evaluation.

Authors:  Jourdan T Holder; Susan M Reynolds; Linsey W Sunderhaus; René H Gifford
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

10.  The NAL-NL2 Prescription Procedure.

Authors:  G Keidser; H Dillon; M Flax; T Ching; S Brewer
Journal:  Audiol Res       Date:  2011-03-23
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  7 in total

1.  Are Speech Perception Scores in Cochlear Implant Recipients Consistent Across Different Tests?

Authors:  Nicholas S Andresen; Varun Vohra; Deepa J Galaiya; Courtney L Carver; Dawn D Marsiglia; Jennifer D Yeagle; Francis X Creighton; Nae-Yuh Wang; Stephen P Bowditch; Charles C Della Santina; Daniel Q Sun
Journal:  Otol Neurotol       Date:  2022-08-01       Impact factor: 2.619

2.  Understanding Patient Expectations Before Implantation Using the Cochlear Implant Quality of Life-Expectations Instrument.

Authors:  Theodore R McRackan; Brittany N Hand; Shreya Chidarala; Judy R Dubno
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2022-09-01       Impact factor: 8.961

Review 3.  Determining Cochlear Implant Candidacy in Adults: Limitations, Expansions, and Opportunities for Improvement.

Authors:  Teresa A Zwolan; Gregory Basura
Journal:  Semin Hear       Date:  2021-12-09

Review 4.  Functional Assessment of Hearing Aid Benefit: Incorporating Verification and Aided Speech Recognition Testing into Routine Practice.

Authors:  Sarah A Sydlowski; Michelle King; Karen Petter; Meagan Lewis Bachmann
Journal:  Semin Hear       Date:  2021-12-09

Review 5.  Barriers to Adult Cochlear Implant Care in the United States: An Analysis of Health Care Delivery.

Authors:  Ashley M Nassiri; John P Marinelli; Donna L Sorkin; Matthew L Carlson
Journal:  Semin Hear       Date:  2021-12-09

6.  American Cochlear Implant Alliance Task Force Guidelines for Determining Cochlear Implant Candidacy in Children.

Authors:  Andrea D Warner-Czyz; J Thomas Roland; Denise Thomas; Kristin Uhler; Lindsay Zombek
Journal:  Ear Hear       Date:  2022 Mar/Apr       Impact factor: 3.562

7.  Role of Preoperative Patient Expectations in Adult Cochlear Implant Outcomes.

Authors:  Theodore R McRackan; Priyanka Reddy; Mark S Costello; Judy R Dubno
Journal:  Otol Neurotol       Date:  2021-02-01       Impact factor: 2.311

  7 in total

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