Hirsch Micah E, Thompson Austin, Kim Yunjung, Lansford Kaitlin L
School of Communication Science and Disorders, Florida State University, Tallahassee, FL 32306, USA.
Brain Sci. 2022 Jul 30;12(8):1011. doi: 10.3390/brainsci12081011.
This study examined the reliability and validity of speech-language pathologists' (SLP) estimations of speech intelligibility in dysarthria, including a visual analog scale (VAS) method and a percent estimation method commonly used in clinical settings. Speech samples from 20 speakers with dysarthria of varying etiologies were used to collect orthographic transcriptions from naïve listeners n=70 and VAS ratings and percent estimations of intelligibility from SLPs n=21. Intra- and interrater reliability for the two SLP intelligibility measures were evaluated, and the relationship between these measures was assessed. Finally, linear regression was used to evaluate the relationship between the naïve listeners' orthographic transcription scores and the two SLP intelligibility measures. The results indicated that the intrarater reliability for both SLP intelligibility measures was strong, and the interrater reliability between the SLP ratings was moderate to excellent. A moderate positive relationship between SLPs' VAS ratings and percent estimations was also observed. Finally, both SLPs' percent estimations and VAS ratings were predictive of naïve listeners' orthographic transcription scores, with SLPs' percent estimations being the strongest predictor. In conclusion, the average SLP percent estimations and VAS ratings are valid and reliable intelligibility measures. However, the validity and reliability of these measures vary between SLPs.
本研究考察了言语语言病理学家(SLP)对构音障碍患者言语清晰度估计的信度和效度,包括视觉模拟量表(VAS)法和临床环境中常用的百分比估计法。使用来自20名病因各异的构音障碍患者的言语样本,从70名普通听众那里收集正字法转录,从21名言语语言病理学家那里收集VAS评分和言语清晰度的百分比估计。评估了言语语言病理学家的两种言语清晰度测量方法的评分者内信度和评分者间信度,并评估了这些测量方法之间的关系。最后,使用线性回归来评估普通听众的正字法转录分数与言语语言病理学家的两种言语清晰度测量方法之间的关系。结果表明,言语语言病理学家的两种言语清晰度测量方法的评分者内信度都很强,言语语言病理学家评分之间的评分者间信度为中等至优秀。还观察到言语语言病理学家的VAS评分与百分比估计之间存在中等程度的正相关。最后,言语语言病理学家的百分比估计和VAS评分都能预测普通听众的正字法转录分数,其中言语语言病理学家的百分比估计是最强的预测指标。总之,言语语言病理学家的平均百分比估计和VAS评分是有效且可靠的言语清晰度测量方法。然而,这些测量方法的效度和信度在言语语言病理学家之间存在差异。