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A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults
Hearing thresholds form the gold standard assessment in Audiology clinics. However, ~ 10% of adult patients seeking audiological care for self-perceived hearing deficits have thresholds that are normal. Currently, a diagnostic assessment for auditory processing disorder (APD) remains one of the few...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442397/ https://www.ncbi.nlm.nih.gov/pubmed/37604867 http://dx.doi.org/10.1038/s41598-023-40645-0 |
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author | Cancel, Victoria E. McHaney, Jacie R. Milne, Virginia Palmer, Catherine Parthasarathy, Aravindakshan |
author_facet | Cancel, Victoria E. McHaney, Jacie R. Milne, Virginia Palmer, Catherine Parthasarathy, Aravindakshan |
author_sort | Cancel, Victoria E. |
collection | PubMed |
description | Hearing thresholds form the gold standard assessment in Audiology clinics. However, ~ 10% of adult patients seeking audiological care for self-perceived hearing deficits have thresholds that are normal. Currently, a diagnostic assessment for auditory processing disorder (APD) remains one of the few viable avenues of further care for this patient population, yet there are no standard guidelines for referrals. Here, we identified tests within the APD testing battery that could provide a rapid screener to inform APD referrals in adults. We first analyzed records from the University of Pittsburgh Medical Center (UPMC) Audiology database to identify adult patients with self-perceived hearing difficulties despite normal audiometric thresholds. We then looked at the patients who were referred for APD testing. We examined test performances, correlational relationships, and classification accuracies. Patients experienced most difficulties within the dichotic domain of testing. Additionally, accuracies calculated from sensitivities and specificities revealed the words-in-noise (WIN), the Random Dichotic Digits Task (RDDT) and Quick Speech in Noise (QuickSIN) tests had the highest classification accuracies. The addition of these tests have the greatest promise as a quick screener during routine audiological assessments to help identify adult patients who may be referred for APD assessment and resulting treatment plans. |
format | Online Article Text |
id | pubmed-10442397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104423972023-08-23 A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults Cancel, Victoria E. McHaney, Jacie R. Milne, Virginia Palmer, Catherine Parthasarathy, Aravindakshan Sci Rep Article Hearing thresholds form the gold standard assessment in Audiology clinics. However, ~ 10% of adult patients seeking audiological care for self-perceived hearing deficits have thresholds that are normal. Currently, a diagnostic assessment for auditory processing disorder (APD) remains one of the few viable avenues of further care for this patient population, yet there are no standard guidelines for referrals. Here, we identified tests within the APD testing battery that could provide a rapid screener to inform APD referrals in adults. We first analyzed records from the University of Pittsburgh Medical Center (UPMC) Audiology database to identify adult patients with self-perceived hearing difficulties despite normal audiometric thresholds. We then looked at the patients who were referred for APD testing. We examined test performances, correlational relationships, and classification accuracies. Patients experienced most difficulties within the dichotic domain of testing. Additionally, accuracies calculated from sensitivities and specificities revealed the words-in-noise (WIN), the Random Dichotic Digits Task (RDDT) and Quick Speech in Noise (QuickSIN) tests had the highest classification accuracies. The addition of these tests have the greatest promise as a quick screener during routine audiological assessments to help identify adult patients who may be referred for APD assessment and resulting treatment plans. Nature Publishing Group UK 2023-08-21 /pmc/articles/PMC10442397/ /pubmed/37604867 http://dx.doi.org/10.1038/s41598-023-40645-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cancel, Victoria E. McHaney, Jacie R. Milne, Virginia Palmer, Catherine Parthasarathy, Aravindakshan A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
title | A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
title_full | A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
title_fullStr | A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
title_full_unstemmed | A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
title_short | A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
title_sort | data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442397/ https://www.ncbi.nlm.nih.gov/pubmed/37604867 http://dx.doi.org/10.1038/s41598-023-40645-0 |
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