Real-life and real-time hearing aid experiences : insights from self-initiated ecological momentary assessments and natural language analysis

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Authors

Vercammen, Charlotte
Oosthuizen, Ilze
Manchaiah, Vinaya
Ratinaud, Pierre
Launer, Stefan
Swanepoel, De Wet

Journal Title

Journal ISSN

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Publisher

Frontiers Media

Abstract

INTRODUCTION : Smartphone technology can provide an effective means to bring real-life and (near-)real-time feedback from hearing aid wearers into the clinic. Ecological Momentary Assessment (EMA) encourages listeners to report on their experiences during or shortly after they take place in order to minimize recall bias, e.g., guided by surveys in a mobile application. Allowing listeners to describe experiences in their own words, further, ensures that answers are independent of predefined jargon or of how survey questions are formulated. Through these means, one can obtain ecologically valid sets of data, for instance during a hearing aid trial, which can support clinicians to assess the needs of their clients, provide directions for fine-tuning, and counselling. At a larger scale, such datasets would facilitate training of machine learning algorithms that could help hearing technology to anticipate user needs. METHODS : In this retrospective, exploratory analysis of a clinical data set, we performed a cluster analysis on 8,793 open-text statements, which were collected through self-initiated EMAs, provided by 2,301 hearing aid wearers as part of their hearing care. Our aim was to explore how listeners describe their daily life experiences with hearing technology in (near-)real-time, in their own words, by identifying emerging themes in the reports. We also explored whether identified themes correlated with the nature of the experiences, i.e., selfreported satisfaction ratings indicating a positive or negative experience. RESULTS : Results showed that close to 60% of listeners’ reports related to speech intelligibility in challenging situations and sound quality dimensions, and tended to be valued as positive experiences. In comparison, close to 40% of reports related to hearing aid management, and tended to be valued as negative experiences. DISCUSSION : This first report of open-text statements, collected through selfinitiated EMAs as part of clinical practice, shows that, while EMA can come with a participant burden, at least a subsample of motivated hearing aid wearers could use these novel tools to provide feedback to inform more responsive, personalized, and family-centered hearing care.

Description

DATA AVAILABILITY STATEMENT : The datasets presented in this article are not readily available because of the mobile application’s data privacy notice. Requests to access the datasets should be directed to Charlotte.Vercammen@sonova.com.

Keywords

Hearing-aids, Ecological momentary assessment (EMA), Natural language analysis, Real-world data, Mobile applications (apps), Data logging, Personalized care, Computational audiology, SDG-03: Good health and well-being

Sustainable Development Goals

SDG-03:Good heatlh and well-being

Citation

Vercammen, C., Oosthuizen, I., Manchaiah, V., Ratinaud, P., Launer, S. & Swanepoel, D.W. (2023) Real-life and real-time hearing aid experiences: Insights from self-initiated ecological momentary assessments and natural language analysis. Frontiers in Digital Health 5:1104308. DOI: 10.3389/fdgth.2023.1104308.