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Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users

Background: To assess the performance of cochlear implant users, speech comprehension benefits are generally measured in controlled sound room environments of the laboratory. For field-based assessment of preference, questionnaires are generally used. Since questionnaires are typically administered...

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Autores principales: Hey, Matthias, Hersbach, Adam A., Hocke, Thomas, Mauger, Stefan J., Böhnke, Britta, Mewes, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147494/
https://www.ncbi.nlm.nih.gov/pubmed/35629065
http://dx.doi.org/10.3390/jcm11102941
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author Hey, Matthias
Hersbach, Adam A.
Hocke, Thomas
Mauger, Stefan J.
Böhnke, Britta
Mewes, Alexander
author_facet Hey, Matthias
Hersbach, Adam A.
Hocke, Thomas
Mauger, Stefan J.
Böhnke, Britta
Mewes, Alexander
author_sort Hey, Matthias
collection PubMed
description Background: To assess the performance of cochlear implant users, speech comprehension benefits are generally measured in controlled sound room environments of the laboratory. For field-based assessment of preference, questionnaires are generally used. Since questionnaires are typically administered at the end of an experimental period, they can be inaccurate due to retrospective recall. An alternative known as ecological momentary assessment (EMA) has begun to be used for clinical research. The objective of this study was to determine the feasibility of using EMA to obtain in-the-moment responses from cochlear implant users describing their technology preference in specific acoustic listening situations. Methods: Over a two-week period, eleven adult cochlear implant users compared two listening programs containing different sound processing technologies during everyday take-home use. Their task was to compare and vote for their preferred program. Results: A total of 205 votes were collected from acoustic environments that were classified into six listening scenes. The analysis yielded different patterns of voting among the subjects. Two subjects had a consistent preference for one sound processing technology across all acoustic scenes, three subjects changed their preference based on the acoustic scene, and six subjects had no conclusive preference for either technology. Conclusion: Results show that EMA is suitable for quantifying real-world self-reported preference, showing inter-subject variability in different listening environments. However, there is uncertainty that patients will not provide sufficient spontaneous feedback. One improvement for future research is a participant forced prompt to improve response rates.
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spelling pubmed-91474942022-05-29 Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users Hey, Matthias Hersbach, Adam A. Hocke, Thomas Mauger, Stefan J. Böhnke, Britta Mewes, Alexander J Clin Med Article Background: To assess the performance of cochlear implant users, speech comprehension benefits are generally measured in controlled sound room environments of the laboratory. For field-based assessment of preference, questionnaires are generally used. Since questionnaires are typically administered at the end of an experimental period, they can be inaccurate due to retrospective recall. An alternative known as ecological momentary assessment (EMA) has begun to be used for clinical research. The objective of this study was to determine the feasibility of using EMA to obtain in-the-moment responses from cochlear implant users describing their technology preference in specific acoustic listening situations. Methods: Over a two-week period, eleven adult cochlear implant users compared two listening programs containing different sound processing technologies during everyday take-home use. Their task was to compare and vote for their preferred program. Results: A total of 205 votes were collected from acoustic environments that were classified into six listening scenes. The analysis yielded different patterns of voting among the subjects. Two subjects had a consistent preference for one sound processing technology across all acoustic scenes, three subjects changed their preference based on the acoustic scene, and six subjects had no conclusive preference for either technology. Conclusion: Results show that EMA is suitable for quantifying real-world self-reported preference, showing inter-subject variability in different listening environments. However, there is uncertainty that patients will not provide sufficient spontaneous feedback. One improvement for future research is a participant forced prompt to improve response rates. MDPI 2022-05-23 /pmc/articles/PMC9147494/ /pubmed/35629065 http://dx.doi.org/10.3390/jcm11102941 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hey, Matthias
Hersbach, Adam A.
Hocke, Thomas
Mauger, Stefan J.
Böhnke, Britta
Mewes, Alexander
Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users
title Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users
title_full Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users
title_fullStr Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users
title_full_unstemmed Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users
title_short Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users
title_sort ecological momentary assessment to obtain signal processing technology preference in cochlear implant users
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147494/
https://www.ncbi.nlm.nih.gov/pubmed/35629065
http://dx.doi.org/10.3390/jcm11102941
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