调查在语音识别得分中双方式益处的最小临床重要差异
Jessica H Lewis1, Ankita Patro2, Katelyn A Berg2
1Department of Speech and Hearing Science, The Ohio State University, Columbus, Ohio.
概括
用基于分布的方法确定了耳植入物 (CI) 患者双模听力临床重要差异 (MCID) 的最小值. 语音识别的MCID平均值为7.8% (CNC),6.4% (AzBio安静) 和7.5% (AzBio噪声).
科学领域:
- 听力学 听力学是指听力学.
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 生物医学工程 生物医学工程
背景情况:
- 双向听力,将耳植入物 (CI) 使用与对侧助听器相结合,为成年人语音识别提供了显著的好处.
- 确定最小临床重要差异 (MCID) 对于评估双式使用者的语音识别有意义的改善至关重要.
- 现有的MCID价值对双式交通的好处需要进一步的验证和改进.
研究的目的:
- 为了确定成人耳植入物 (CI) 患者双管道益处的最小临床重要差异 (MCID) 值.
- 量化使用助听器在非CI耳朵上的语音识别分数的额外好处.
- 关于助听器使用和潜在的第二次CI植入的临床决策.
主要方法:
- 在第三级推性CI中心对599名成年双模使用者 (带有对侧助听器的CI) 的回顾性图表审查.
- 通过从双模性性能减去单独CI的性能来计算双模性益处得分.
- 使用基于分布的方法 (半SD,SEM,Cohen d,MDC) 和基于的方法 (SSQ-12) 来确定语音识别的MCID (CNC单词,安静和噪音中的AzBio句子).
主要成果:
- 基于分布的方法,CNC单词的平均MCID值为7.8%,安静的AzBio句子为6.4%,噪音中的AzBio句子为7.5%.
- 使用SSQ-12指数的基方法显示不适合,这表明目前患者报告的结果措施在评估双式疗法益处方面存在局限性.
- 从基于分布的方法获得的MCID值为有意义的语音识别改进提供了定量基准.
结论:
- 建立的MCID价值对双管道益处可以指导临床医生和患者在关于助听器使用和潜在的第二CI的决定中.
- 这些发现强调了需要改进患者报告的结果措施,以准确评估双模听力的主观体验.
- 这些MCID值将有助于未来的研究和双模干预策略的临床评估.
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