Exploring adult hearing aid user experiences: meaning extraction methods, content patterns, and associations with demographic and outcome variables.
Objective: Employing automated language analysis, specifically Meaning Extraction Method (MEM) and Principal Component Analysis (PCA), to identify key factors in open-text responses about hearing aid experiences. Design: Exploratory, cross-sectional design, using an online questionnaire. Responses t...
| Published in: | International Journal of Audiology Vol. 64; no. 9; pp. 909 - 920 |
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| Main Authors: | , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Sep2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187638048&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187638048 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Sep2025 vid: 64 iid: 9 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 187638048 180514121 187638048 187638048 10.1080/14992027.2024.2415958 187638048 ppf: 909 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Exploring adult hearing aid user experiences: meaning extraction methods, content patterns, and associations with demographic and outcome variables. aug: au: Oosthuizen, Ilze Swanepoel, De Wet Boyd, Ryan L. Pennebaker, James W. Launer, Stefan Manchaiah, Vinaya affil: Department of Speech-language Pathology and Audiology, University of Pretoria, South Africa sug: subj: Hearing Aids In Adulthood Life Experiences Sociodemographic Factors Treatment Outcomes Hearing Disorders Speech and Language Assessment Automation Human Male Female Adult Middle Age Aged Funding Source Factor Analysis Exploratory Research Cross Sectional Studies Questionnaires Correlational Studies United States Quality of Life Social Behavior Speech Intelligibility Self Report Natural Language Processing Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Objective: Employing automated language analysis, specifically Meaning Extraction Method (MEM) and Principal Component Analysis (PCA), to identify key factors in open-text responses about hearing aid experiences. Design: Exploratory, cross-sectional design, using an online questionnaire. Responses to a single open-ended question were analysed using MEM, PCA, regression, and correlation analyses. Study sample: Participants (n = 538) included adult hearing aid users sampled from the Hearing Tracker website community and Lexie Hearing user databases in the United States. Results: The MEM-derived items revealed six factors related to hearing aid experiences: (1) life change, (2) social situation, (3) quality of life, (4) impact and speech understanding, (5) communication and interaction, and (6) music and environmental sounds. IOI-HA item 3 had the most statistically significant correlations with PCA factors. Quantile regression revealed that factors one and two significantly predicted the IOI-HA total score. Positive correlations were observed between self-reported hearing difficulty and factors one, four, and five, as well as between factor one and general health and factor two and physical activity. Conclusion: Natural language analysis of open-ended textual responses can offer valuable insights into hearing aid users' experiences. Future studies should aim to refine this methodology to enhance clinical relevance and generalisability. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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