A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults
Abstract 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-40645-0 |
| _version_ | 1797452824871698432 |
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| author | Victoria E. Cancel Jacie R. McHaney Virginia Milne Catherine Palmer Aravindakshan Parthasarathy |
| author_facet | Victoria E. Cancel Jacie R. McHaney Virginia Milne Catherine Palmer Aravindakshan Parthasarathy |
| author_sort | Victoria E. Cancel |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-09T15:14:16Z |
| format | Article |
| id | doaj.art-0315f82dbedd40d0ab09d63d7091a961 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:14:16Z |
| publishDate | 2023-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-0315f82dbedd40d0ab09d63d7091a9612023-11-26T13:10:16ZengNature PortfolioScientific Reports2045-23222023-08-0113111110.1038/s41598-023-40645-0A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adultsVictoria E. Cancel0Jacie R. McHaney1Virginia Milne2Catherine Palmer3Aravindakshan Parthasarathy4Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of PittsburghDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of PittsburghDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of PittsburghDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of PittsburghDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of PittsburghAbstract 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.https://doi.org/10.1038/s41598-023-40645-0 |
| spellingShingle | Victoria E. Cancel Jacie R. McHaney Virginia Milne Catherine Palmer Aravindakshan Parthasarathy A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-40645-0 |
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