Toward a Quantitative Basis for Assessment and Diagnosis of Apraxia of Speech.
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| Title: | Toward a Quantitative Basis for Assessment and Diagnosis of Apraxia of Speech. |
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| Authors: | Haley, Katarina L.1 Katarina_Haley@med.unc.edu, Jacks, Adam1, de Riesthal, Michael2, Abou-Khalil, Rima2, Roth, Heidi L.1, Smith, Anne, Ziegler, Wolfram |
| Source: | Journal of Speech, Language & Hearing Research. Oct2012, Vol. 55 Issue 5, pS1502-S1517. 16p. 5 Charts. |
| Subject Terms: | *Motor ability, *Stuttering, *Comparative studies, *Consonants, *Research methodology, *Speech evaluation, *Intelligibility of speech, *Data analysis, *Disabilities, *Control groups, *Inter-observer reliability, Diagnosis of aphasia, Differential diagnosis, Research funding, Physiological aspects of speech, Statistics, Human voice, Vowels, Weights & measures, Quantitative research, Speech apraxia, Medical coding, Diagnosis |
| Abstract: | Purpose: We explored the reliability and validity of 2 quantitative approaches to document presence and severity of speech properties associated with apraxia of speech (AOS). Method: A motor speech evaluation was administered to 39 individuals with aphasia. Audio-recordings of the evaluation were presented to 3 experienced clinicians to determine AOS diagnosis and to rate severity of 11 speech dimensions. Additionally, research assistants coded 11 operationalized metrics of articulation, fluency, and prosody in the same speech samples and in recordings from 20 neurologically healthy participants. Results: Agreement among the 3 clinicians was limited for both AOS diagnosis and perceptual scaling, but inter-observer reliability for the operationalized metrics was strong. The relationships between most operationalized metrics and mean severity ratings for corresponding perceptual dimensions were moderately strong and statistically significant. Both perceptual scaling and operationalized quantification approaches were sensitive to the presence or absence of AOS. Conclusions: Perceptual scaling and operationalized metrics are promising quantification techniques that can help establish diagnostic transparency for AOS. However, because satisfactory reliability cannot be assumed for scaling techniques, effective training and calibration procedures should be implemented. Operationalized metrics show strong potential for enhancing diagnostic objectivity and sensitivity. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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