The use of self-report measures to examine changes in perception in response to fittings using different signal processing parameters

Melinda Anderson, Varsha Rallapalli, Tim Schoof, Pamela Souza, Kathryn Arehart, Melinda Anderson, Varsha Rallapalli, Tim Schoof, Pamela Souza, Kathryn Arehart

Abstract

Clinicians have long used self-report methods to assess hearing aid benefit. However, there are fewer data as to whether self-report instruments can be used to compare differences between signal processing settings. This study examined how self-perceived performance varied as a function of modifications in signal processing using two self-report measures. Data were collected as part of a double-blind randomised crossover clinical trial. Participants were fit with two fittings: mild processing (slow time constants, disabled frequency lowering) and strong processing (fast time constants, frequency lowering enabled). The speech, spatial, and qualities of hearing (SSQ) questionnaire and the Effectiveness of Auditory Rehabilitation (EAR) questionnaire were collected at multiple time points. Older adults with sensorineural hearing loss who had not used hearing aids within the previous year participated (49 older adults were consented; 40 were included in the final data analyses). Findings show that listeners report a difference in perceived performance when hearing aid features are modified. Both self-report measures were able to capture this change in perceived performance. Self-report measures provide a tool for capturing changes in perceived performance when hearing aid processing features are modified and may enhance provision of an evidence-based hearing aid fitting.

Trial registration: ClinicalTrials.gov NCT02448706.

Keywords: Hearing aid satisfaction; clinical trial; hearing aid; signal perception.

Conflict of interest statement

Disclosure

No conflict of interest is reported by the authors.

Figures

Figure 1.
Figure 1.
Audiograms of participants. Thick black line represent average audiogram for each ear.
Figure 2.
Figure 2.
Box-and-whisker plots for the effect of fitting (MildSP vs. StrongSP) on x-axis for average ratings on the Speech, Spatial, and Qualities (SSQ) Questionnaire (y-axis) across # participants. Panels a-c represent speech, spatial, and qualities subscales, and panel d represents the overall average ratings across the three subscales. The black dashed line represents the average baseline rating.
Figure 3.
Figure 3.
Box-and-whisker plots for the effect of fitting (MildSP vs. StrongSP) on x-axis for average ratings on the Effectiveness of Auditory Rehabilitation (EAR) scale (y-axis) across # participants. Panels a-c represent Inner EAR (Global), Inner EAR (Survey), Outer EAR (Global), and Outer EAR (Survey) subscales. The black dashed line represents the average baseline rating for the Inner EAR subscales.

Source: PubMed

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