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      Computer-based Auditory Training by New Adult Cochlear Implant Recipients Is Associated With Durable Improvements in Cochlear Implant Quality of Life

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          Abstract

          Objective:

          The process of adapting to communicate with a cochlear implant (CI) is complex. The use of auditory training after cochlear implantation may help to facilitate improvements in postoperative speech recognition and quality-of-life outcomes in new adult CI recipients. However, the effectiveness of auditory training remains uncertain and long-term effects have not been examined in a large sample of new adult CI users. As such, the objective of this study was to examine the influence of common forms of auditory training on speech recognition and CI-related quality-of-life (CI-related QOL) outcomes at 1 year after cochlear implantation. We hypothesized that patients who reported use of computer-based auditory training (CBAT) would show improved speech and CIQOL-35 Profile scores at 1 year after activation of their implant, compared with their peers.

          Design:

          This study was designed as a prospective study and was undertaken at a tertiary academic CI center. Participants included 114 adults undergoing cochlear implantation for bilateral hearing loss. Patients serially self-reported use of the following types of post-CI auditory training over their first-year postactivation: (1) face-to-face training (e.g., speech-language pathologist), (2) passive home-based training (e.g., listening to audiobooks), and (3) CBAT (e.g., self-directed software). Outcomes measures for this study included change in Consonant-Nucleus-Consonant phoneme (CNCp), CNC word (CNCw), AzBio sentences in quiet, and CIQOL-35 Profile global and domain scores from pre-CI to 12-mo post-CI.

          Results:

          Of 114 patients, 94 (82.5%) used one or more auditory training resources. Of these, 19.3% used face-to-face training, 67.5% passive home-based training, and 46.5% CBAT. Of 114 patients, 73 had complete CIQOL data. At 12 mo, only CBAT use was associated with significantly greater improvements in global and all domain-specific CIQOL scores ( d-range = 0.72–0.87), compared with those not using CBAT. Controlling for demographics and use of multiple training resources, CBAT remained the strongest positive predictor of CIQOL improvement, with significant associations with global score (ß = 12.019[4.127,19.9]) and all domain scores at 12-mo post-CI: communication (ß = 11.937[2.456,21.318), emotional (ß = 12.293[1.827,22.759), entertainment (ß = 17.014[5.434,28.774), environment (ß = 13.771[1.814,25.727]), listening effort (ß = 12.523[2.798,22.248]), and social (ß = 18.114[7.403,28.826]). No significant benefits were noted with use of CBAT or any other form of auditory training and speech recognition scores at 12-mo post-CI ( d-range = –0.12–0.22).

          Conclusions:

          Auditory training with CBAT was associated with improved CI-related QOL outcomes at 12-mo post-CI. Given its availability and low cost, this study provides evidence to support using CBAT to improve real-world functional abilities in new adult CI recipients.

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          Most cited references41

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Development and validation of the AzBio sentence lists.

            The goal of this study was to create and validate a new set of sentence lists that could be used to evaluate the speech perception abilities of hearing-impaired listeners and cochlear implant (CI) users. Our intention was to generate a large number of sentence lists with an equivalent level of difficulty for the evaluation of performance over time and across conditions. The AzBio sentence corpus includes 1000 sentences recorded from two female and two male talkers. The mean intelligibility of each sentence was estimated by processing each sentence through a five-channel CI simulation and calculating the mean percent correct score achieved by 15 normal-hearing listeners. Sentences from each talker were sorted by percent correct score, and 165 sentences were selected from each talker and were then sequentially assigned to 33 lists, each containing 20 sentences (5 sentences from each talker). List equivalency was validated by presenting all lists, in random order, to 15 CI users. Using sentence scores from the CI simulation study produced 33 lists of sentences with a mean score of 85% correct. The results of the validation study with CI users revealed no significant differences in percent correct scores for 29 of the 33 sentence lists. However, individual listeners demonstrated considerable variability in performance on the 29 lists. The binomial distribution model was used to account for the inherent variability observed in the lists. This model was also used to generate 95% confidence intervals for one and two list comparisons. A retrospective analysis of 172 instances where research subjects had been tested on two lists within a single condition revealed that 94% of results were accurately contained within these confidence intervals. The use of a five-channel CI simulation to estimate the intelligibility of individual sentences allowed for the creation of a large number of sentence lists with an equivalent level of difficulty. The results of the validation procedure with CI users found that 29 of 33 lists allowed scores that were not statistically different. However, individual listeners demonstrated considerable variability in performance across lists. This variability was accurately described by the binomial distribution model and was used to estimate the magnitude of change required to achieve statistical significance when comparing scores from one and two lists per condition. Fifteen sentence lists have been included in the AzBio Sentence Test for use in the clinical evaluation of hearing-impaired listeners and CI users. An additional eight sentence lists have been included in the Minimum Speech Test Battery to be distributed by the CI manufacturers for the evaluation of CI candidates.
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              Is Open Access

              Efficacy of Individual Computer-Based Auditory Training for People with Hearing Loss: A Systematic Review of the Evidence

              Background Auditory training involves active listening to auditory stimuli and aims to improve performance in auditory tasks. As such, auditory training is a potential intervention for the management of people with hearing loss. Objective This systematic review (PROSPERO 2011: CRD42011001406) evaluated the published evidence-base for the efficacy of individual computer-based auditory training to improve speech intelligibility, cognition and communication abilities in adults with hearing loss, with or without hearing aids or cochlear implants. Methods A systematic search of eight databases and key journals identified 229 articles published since 1996, 13 of which met the inclusion criteria. Data were independently extracted and reviewed by the two authors. Study quality was assessed using ten pre-defined scientific and intervention-specific measures. Results Auditory training resulted in improved performance for trained tasks in 9/10 articles that reported on-task outcomes. Although significant generalisation of learning was shown to untrained measures of speech intelligibility (11/13 articles), cognition (1/1 articles) and self-reported hearing abilities (1/2 articles), improvements were small and not robust. Where reported, compliance with computer-based auditory training was high, and retention of learning was shown at post-training follow-ups. Published evidence was of very-low to moderate study quality. Conclusions Our findings demonstrate that published evidence for the efficacy of individual computer-based auditory training for adults with hearing loss is not robust and therefore cannot be reliably used to guide intervention at this time. We identify a need for high-quality evidence to further examine the efficacy of computer-based auditory training for people with hearing loss.
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                Author and article information

                Journal
                Ear & Hearing
                Ovid Technologies (Wolters Kluwer Health)
                1538-4667
                February 14 2024
                Affiliations
                [1 ]Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina.
                Article
                10.1097/AUD.0000000000001486
                c004ed2f-91b9-4f4d-8d07-bcb270d984a7
                © 2024
                History

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