Folmer Robert L, Vachhani Jay, McMillan Garnett P, Watson Charles, Kidd Gary R, Feeney M Patrick
National Center for Rehabilitative Auditory Research, Portland VA Medical Center, Portland, OR.
Department of Otolaryngology, Oregon Health & Science University, Portland, OR.
J Am Acad Audiol. 2017 Feb;28(2):161-169. doi: 10.3766/jaaa.16038.
The sooner people receive treatment for hearing loss (HL), the quicker they are able to recognize speech and to master hearing aid technology. Unfortunately, a majority of people with HL wait until their impairments have progressed from moderate to severe levels before seeking auditory rehabilitation. To increase the number of individuals with HL who pursue and receive auditory rehabilitation, it is necessary to improve methods for identifying and informing these people via widely accessible hearing screening procedures. Screening for HL is the first in a chain of events that must take place to increase the number of patients who enter the hearing health-care system. New methods for hearing screening should be readily accessible through a common medium (e.g., telephone or computer) and should be relatively easy and quick for people to self-administer.
The purpose of this study was to assess a digits-in-noise (DIN) hearing screening test that was delivered via personal computer.
Participants completed the Hearing Handicap Inventory for Adults (HHIA) questionnaire, audiometric testing in a sound booth, and computerized DIN testing. During the DIN test, sequences of three spoken digits were presented in noise via headphones at varying signal-to-noise ratios (SNRs). Participants entered each three-digit sequence they heard using an on-screen keypad.
Forty adults (16 females, 24 males) participated in the study, of whom 20 had normal hearing and 20 had HL (pure-tone average [PTA] thresholds for 0.5, 1, 2, and 4 kHz >25 dB HL).
DIN SNR and PTA data were analyzed and compared for each ear tested. Receiver operating characteristic curves based on these data were plotted. A measure of overall accuracy of a screening test is the area under the receiver operating characteristic curve (AUC). This measures the average true positive rate across false positives at varying DIN SNR cutoffs. Larger values of the AUC indicate, on average, more accurate screening tests. HHIA responses were analyzed and compared to PTA and DIN SNR results using Pearson correlation statistics.
HHIA scores were positively correlated with audiometric PTA and DIN SNR results (p < 0.001 for all correlations). For an HL criterion of one or more frequencies from 0.25 to 8 kHz >25 dB HL, the AUC for the DIN test was 0.95. When a criterion of hearling level was set at one or more frequencies from 0.25 to 8 kHz >20 dB HL, the AUC for the DIN test was 0.96.
The computer version of the DIN test demonstrated excellent sensitivity and specificity for our sample of 40 participants. AUC results (≥0.95) suggest that this DIN test administered via computer should be very useful for adult hearing screening.
人们听力损失(HL)后越早接受治疗,就越能更快地识别语音并掌握助听器技术。不幸的是,大多数HL患者会等到听力损伤从中度发展到重度才寻求听觉康复。为了增加寻求并接受听觉康复的HL患者数量,有必要改进通过广泛可用的听力筛查程序来识别和通知这些人的方法。HL筛查是一系列事件中的第一步,这些事件必须发生以增加进入听力保健系统的患者数量。新的听力筛查方法应通过常见媒介(如电话或计算机)易于获取,并且对于人们自行操作应相对简单快捷。
本研究的目的是评估通过个人计算机进行的数字噪声(DIN)听力筛查测试。
参与者完成了成人听力障碍问卷(HHIA)、在隔音室进行的听力测试以及计算机化的DIN测试。在DIN测试中,通过耳机以不同的信噪比(SNR)在噪声中呈现三个口语数字的序列。参与者使用屏幕键盘输入他们听到的每个三位数字序列。
40名成年人(16名女性,24名男性)参与了该研究,其中20人听力正常,20人患有HL(0.5、1、2和4kHz的纯音平均[PTA]阈值>25dB HL)。
对测试的每只耳朵的DIN SNR和PTA数据进行分析和比较。基于这些数据绘制接收器操作特征曲线。筛查测试的总体准确性的一个衡量指标是接收器操作特征曲线下的面积(AUC)。这测量了在不同DIN SNR截止值下假阳性情况下的平均真阳性率。AUC值越大,平均而言筛查测试越准确。使用Pearson相关统计分析HHIA的回答并与PTA和DIN SNR结果进行比较。
HHIA得分与听力测试PTA和DIN SNR结果呈正相关(所有相关性的p<0.001)。对于0.25至8kHz中一个或多个频率>25dB HL的HL标准,DIN测试的AUC为0.95。当听力水平标准设定为0.25至8kHz中一个或多个频率>20dB HL时,DIN测试的AUC为0.96。
DIN测试的计算机版本对我们40名参与者的样本显示出出色的敏感性和特异性。AUC结果(≥0.95)表明,这种通过计算机进行的DIN测试对于成人听力筛查应该非常有用。