Objective: Reliable perceptual and instrumental assessment of oral–nasal balance disorders is a persistent problem in speech-language pathology. The goal of the study was to evaluate whether nasalance-based preclassification of oral–nasal balance disorders improves listener agreement. Design: Retrospective listening study. Setting: Tertiary university hospital. Participants: Fifty-four randomly selected recordings of patients with repaired unilateral cleft lip and palate (UCLP). Three experienced speech-language pathologists participated as expert listeners. Interventions: Two listening experiments were based on nasalance scores and audio recordings of speakers with repaired UCLP. The speakers were preclassified as normal, hypernasal, hyponasal, or mixed based on their nasalance scores. Initially, the listeners determined the diagnostic category of the oral–nasal balance for 62 audio recordings (8 repeats). Six months later, they listened to 38 of the recordings (6 repeats) along with a spreadsheet indicating the nasalance-based categories for the oral–nasal balance. The listeners confirmed, or rejected and corrected, the nasalance-based preclassification. Main Outcome Measures: Intralistener, interlistener agreement, and agreement between listener categories and nasalance-based oral–nasal balance categories. Results: In the first study, the agreement between the listeners’ diagnostic category and the nasalance-based category was 45.1% and the interlistener agreement was 36.7%. In the second study, the agreement between the listeners’ category and the nasalance-based category was 67.1% (75% agreement for the correct nasalance-based categories and 41.7% for the misclassifications), and the interlistener agreement was 85.4%. Conclusions: Preclassification of oral–nasal balance disorders based on nasalance scores may help listeners achieve better diagnostic accuracy and higher agreement.
We thank Drs Siamak Sabour and Mehdi Naderi for their interest in our paper "Nasalance-Based Preclassification of Oral-Nasal Balance Disorders Results in Higher Agreement of Expert Listeners' Auditory-Perceptual Assessments: Results of a Retrospective Listening Study" (de Boer et al., 2020). In this paper, we investigated whether nasalance-based preclassification of oral-nasal balance disorders improves listener agreement. Three expert listeners took part in 2 listening studies. The speakers with cleft palate were preclassified as normal, hypernasal, hyponasal, or mixed based on their nasalance scores. In a first round of the experiment, the listeners independently categorized the speakers' oral-nasal balance. The agreement between the listeners' diagnostic category and the nasalance-based category was 45.1% and the interlistener agreement was 36.7%, which were rather low level of agreements. In a second experiment 6 months later, the listeners relistened to the samples but this time, they had a spreadsheet indicating the nasalance-based categories for the oral-nasal balance. Some of the samples were deliberately misclassified to ensure listener attentiveness to the task. The listeners confirmed, or rejected and corrected, the nasalance-based preclassifications. In this second experiment, the listeners' agreement was 75% for the correct nasalance-based categories, and interlistener agreement was 85.4%. We concluded from these results that a preclassification of oral-nasal balance disorders based on nasalance scores could help listeners achieve higher diagnostic accuracy and agreement. This could have implications for clinical practice: Currently, speech-language pathologists tend to do their auditoryperceptual assessments of oral-nasal balance disorders first and then use nasalance scores to corroborate their findings. However, if nasalance-based preclassification of oral-nasal balance disorders results in better listener agreement, as our research suggested, then it may make sense for clinicians to flip the
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.