ArticleOtology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology2020
Explaining Speech Recognition and Quality of Life Outcomes in Adult Cochlear Implant Users: Complementary Contributions of Demographic, Sensory, and Cognitive Factors.
Article in Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Long-Term Use of Cochlear Implants in the Older Adult Population.Audiology & neuro-otology · 2026Article
- Living with Cochlear Implants (LivCI): development and validation of a new patient-reported outcome measure (PROM) of personal factors associated with living with cochlear implants.Health and quality of life outcomes · 2026Observational
- Social Network Characteristics and Their Relations to Speech Recognition and Quality of Life in Adult Cochlear Implant Users.American journal of speech-language pathology · 2026Article
- Threshold-distance functions predict speech recognition with cochlear implants.Scientific reports · 2025Article
- Personalizing Auditory Training: Understanding Individual Factors in Adult Cochlear Implant Users.Seminars in hearing · 2025Review
- Underlying dimensions of real-time word recognition in cochlear implant users.Nature communications · 2024Article
- The role of inhibitory control in spoken word recognition: Evidence from cochlear implant users.Language, cognition and neuroscience · 2024Article
- QoL, CIs, QALYs, and Individualized Rehabilitation: The Clinical and Practical Benefits of Regularly Assessing the Quality of Life of Adult Cochlear Implant Recipients.International journal of environmental research and public health · 2023Article
- Association of Cognitive Impairment Screening Scores With Improvements in Speech Recognition and Quality of Life After Cochlear Implantation.JAMA otolaryngology-- head & neck surgery · 2023Article
- Impact of SNR, peripheral auditory sensitivity, and central cognitive profile on the psychometric relation between pupillary response and speech performance in CI users.Frontiers in neuroscience · 2023Article
- Exploring neurocognitive factors and brain activation in adult cochlear implant recipients associated with speech perception outcomes-A scoping review.Frontiers in neuroscience · 2023Article
- Evaluating the Impact of Cochlear Implantation on Cognitive Function in Older Adults.The Laryngoscope · 2022Article
- Analysis Model of Spoken English Evaluation Algorithm Based on Intelligent Algorithm of Internet of Things.Computational intelligence and neuroscience · 2022Article
- Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users.Frontiers in neuroscience · 2021Article
- A surgeon-scientist's perspective and review of cognitive-linguistic contributions to adult cochlear implant outcomes.Laryngoscope investigative otolaryngology · 2020Review
- Article
- Electrophysiological Assessment of Semantic Processing of Cochlear Implant Users Using an Audiobook.Trends in hearingArticle
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Authors and funding
4 authors.
Funding
Abstract
hypothesesAdult cochlear implant (CI) outcomes depend on demographic, sensory, and cognitive factors. However, these factors have not been examined together comprehensively for relations to different outcome types, such as speech recognition versus quality of life (QOL). Three hypotheses were tested: 1) speech recognition will be explained most strongly by sensory factors, whereas QOL will be explained more strongly by cognitive factors. 2) Different speech recognition outcome domains (sentences versus words) and different QOL domains (physical versus social versus psychological functioning) will be explained differentially by demographic, sensory, and cognitive factors. 3) Including cognitive factors as predictors will provide more power to explain outcomes than demographic and sensory predictors alone.
backgroundA better understanding of the contributors to CI outcomes is needed to prognosticate outcomes before surgery, explain outcomes after surgery, and tailor rehabilitation efforts.
methodsForty-one adult postlingual experienced CI users were assessed for sentence and word recognition, as well as hearing-related QOL, along with a broad collection of predictors. Partial least squares regression was used to identify factors that were most predictive of outcome measures.
resultsSupporting our hypotheses, speech recognition abilities were most strongly dependent on sensory skills, while QOL outcomes required a combination of cognitive, sensory, and demographic predictors. The inclusion of cognitive measures increased the ability to explain outcomes, mainly for QOL.
conclusionsExplaining variability in adult CI outcomes requires a broad assessment approach. Identifying the most important predictors depends on the particular outcome domain and even the particular measure of interest.
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