Assessing Real-Life Benefit From Hearing-Aid Noise Management: SSQ12 Questionnaire Versus Ecological Momentary Assessment With Acoustic Data-Logging

Abstract

Purpose The purpose of this study was to investigate real-life benefit from directional microphone and noise reduction (“noise management” [NM]) processing using retrospective self-reports and smartphone-based ecological momentary assessments (EMAs) combined with logging of the acoustic environments. Method A single-blinded, counterbalanced crossover design was used. Eleven hearing-impaired adults were bilaterally fitted with behind-the-ear devices with NM either activated (NM ON ) or deactivated. For the retrospective self-reports, the short scale of the Speech, Spatial, and Qualities Hearing Scale questionnaire (SSQ12) was applied. For the EMAs, smartphone-based self-reports combined with hearing aid (HA)–based classifications of the listening environments (“soundscapes”) experienced by the participants was used. To explore potential associations with the real-life data, two laboratory measures of aided speech recognition in noise were administered. Results The soundscapes in which the participants submitted their EMAs were representative of the soundscapes they experienced during normal HA use and of the soundscapes reported in the literature for older HA users. The SSQ12 and EMA scores both showed an overall benefit from NM ON . The EMA scores, together with the logged acoustic data, revealed that this benefit was driven by NM ON being preferred particularly in listening environments classified as “speech” or “speech in noise.” The laboratory measures of aided speech recognition in noise were unable to predict the real-life data. Conclusions EMA combined with acoustic data-logging is suited for more targeted evaluations of real-life HA benefit. Advanced NM settings can provide subjective user benefits in specific listening situations.