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使用真耳测量法,比较制造商默认适配与根据NAL-NL2编程的助听器在安静环境下的单词和音素识别、噪声环境下的句子识别以及主观效果方面的差异。

Differences in Word and Phoneme Recognition in Quiet, Sentence Recognition in Noise, and Subjective Outcomes between Manufacturer First-Fit and Hearing Aids Programmed to NAL-NL2 Using Real-Ear Measures.

作者信息

Valente Michael, Oeding Kristi, Brockmeyer Alison, Smith Steven, Kallogjeri Dorina

机构信息

Department of Otolaryngology - Head and Neck Surgery, Division of Adult Audiology, Washington University in St. Louis School of Medicine, St. Louis, MO.

出版信息

J Am Acad Audiol. 2018 Sep;29(8):706-721. doi: 10.3766/jaaa.17005.

Abstract

BACKGROUND

The American Speech-Language-Hearing Association (ASHA) and American Academy of Audiology (AAA) have created Best Practice Guidelines for fitting hearing aids to adult patients. These guidelines recommend using real-ear measures (REM) to verify that measured output/gain of hearing aid(s) match a validated prescriptive target. Unfortunately, approximately 70-80% of audiologists do not routinely use REM when fitting hearing aids, instead relying on a manufacturer default "first-fit" setting. This is problematic because numerous studies report significant differences in REM between manufacturer first-fit and the same hearing aids using a REM or programmed-fit. These studies reported decreased prescribed gain/output in the higher frequencies for the first-fit compared with the programmed fit, which are important for recognizing speech. Currently, there is little research in peer-reviewed journals reporting if differences between hearing aids fitted using a manufacturer first-fit versus a programmed-fit result in significant differences in speech recognition in quiet, noise, and subjective outcomes.

PURPOSE

To examine if significant differences were present in monosyllabic word and phoneme recognition (consonant-nucleus-consonant; CNC) in quiet, sentence recognition in noise (Hearing in Noise Test; HINT), and subjective outcomes using the Abbreviated Profile of Hearing Aid Benefit (APHAB) and the Speech, Spatial and Qualities of Hearing (SSQ) questionnaires between hearing aids fit using one manufacturer's first-fit and the same hearing aids with a programmed-fit using REM to National Acoustic Laboratories Nonlinear Version 2 (NAL-NL2) prescriptive target.

RESEARCH DESIGN

A double-blind randomized crossover design was used. Throughout the study, one investigator performed all REM whereas a second investigator measured speech recognition in quiet, noise, and scored subjective outcome measures.

STUDY SAMPLE

Twenty-four adults with bilateral normal sloping to moderately severe sensorineural hearing loss with no prior experience with amplification.

DATA COLLECTION AND ANALYSIS

The hearing aids were fit using the proprietary manufacturer default first-fit and a programmed-fit to NAL-NL2 using real-ear insertion gain measures. The order of the two fittings was randomly assigned and counterbalanced. Participants acclimatized to each setting for four weeks and returned for assessment of performance via the revised CNC word lists, HINT, APHAB, and SSQ for the respective fitting.

RESULTS

(1) A significant median advantage of 15% (p < 0.001; 95% CI: 9.7-24.3%) for words and 7.7% (p < 0.001; 95% CI: 5.9-10.9%) for phonemes for the programmed-fit compared with first-fit at 50 dB sound pressure level (SPL) and 4% (p < 0.01; 95% CI: 1.7-6.3%) for words at 65 dB SPL; (2) No significant differences for the HINT reception threshold for sentences (RTS); (3) A significant median advantage of 4.2% [p < 0.04; 95% confidence interval (CI): -0.6-13.2%] for the programmed-fit compared with the first-fit for the background noise subscale problem score for the APHAB; (4) No significant differences on the SSQ.

CONCLUSIONS

Improved word and phoneme recognition for soft and words for average speech in quiet were reported for the programmed-fit. Seventy-nine percent of the participants preferred the programmed-fitting versus first-fit. Hearing aids, therefore, should be verified and programmed using REM to a prescriptive target versus no verification using a first-fit.

摘要

背景

美国言语语言听力协会(ASHA)和美国听力学学会(AAA)制定了为成年患者验配助听器的最佳实践指南。这些指南建议使用真耳测量(REM)来验证助听器的测量输出/增益是否与经过验证的处方目标相匹配。不幸的是,大约70 - 80%的听力学家在验配助听器时并不常规使用REM,而是依赖制造商默认的“初配”设置。这存在问题,因为大量研究报告称,制造商初配与使用REM或编程适配的同一助听器之间在REM方面存在显著差异。这些研究报告称,与编程适配相比,初配在高频处的规定增益/输出降低,而高频对于语音识别很重要。目前,在同行评审期刊中几乎没有研究报告使用制造商初配与编程适配的助听器之间的差异是否会导致在安静环境、噪声环境中的语音识别以及主观结果方面存在显著差异。

目的

研究使用一家制造商的初配方式与使用REM将同一助听器按照国家声学实验室非线性版本2(NAL - NL2)处方目标进行编程适配后,在安静环境下单音节词和音素识别(辅音 - 元音 - 辅音;CNC)、噪声环境下句子识别(噪声中的听力测试;HINT)以及使用助听器益处简化量表(APHAB)和言语、空间及听力质量(SSQ)问卷的主观结果方面是否存在显著差异。

研究设计

采用双盲随机交叉设计。在整个研究过程中,由一名研究人员进行所有的真耳测量,而另一名研究人员测量安静环境和噪声环境下的语音识别,并对主观结果测量进行评分。

研究样本

24名双侧听力从正常斜率到中度重度感音神经性听力损失的成年人,他们之前没有使用过助听器。

数据收集与分析

使用制造商专有的默认初配方式和通过真耳插入增益测量按照NAL - NL2进行编程适配来验配助听器。两种适配顺序随机分配并进行平衡处理。参与者在每种设置下适应四周,然后回来通过修订后的CNC单词列表、HINT、APHAB和SSQ对相应适配进行性能评估。

结果

(1)在50分贝声压级(SPL)时,编程适配在单词识别方面比初配具有显著的中位数优势,为15%(p < 0.001;95%置信区间:9.7 - 24.3%),音素识别方面为7.7%(p < 0.001;95%置信区间:5.9 - 10.9%);在65分贝SPL时,单词识别方面为4%(p < 0.01;95%置信区间:1.7 - 6.3%);(2)句子的HINT接收阈值(RTS)没有显著差异;(3)在APHAB的背景噪声子量表问题得分方面,编程适配比初配具有显著的中位数优势,为4.2%[p < 0.04;95%置信区间(CI): - 0.6 - 13.2%];(4)在SSQ方面没有显著差异。

结论

报告称编程适配在安静环境中对软语音和平均语音的单词及音素识别有所改善。79%的参与者更喜欢编程适配而非初配。因此,助听器应通过REM按照处方目标进行验证和编程,而不是使用初配且不进行验证。

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