Exploring adult hearing aid user experiences: meaning extraction methods, content patterns, and associations with demographic and outcome variables.

IF 1.8 3区 医学 Q2 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Ilze Oosthuizen, De Wet Swanepoel, Ryan L Boyd, James W Pennebaker, Stefan Launer, Vinaya Manchaiah
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引用次数: 0

Abstract

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.

探索成人助听器用户体验:意义提取方法、内容模式以及与人口统计学和结果变量的关联。
目的:采用自动语言分析法,特别是意义提取法(MEM)和主成分分析法(PCA):采用自动语言分析法,特别是意义提取法(MEM)和主成分分析法(PCA),找出有关助听器使用体验的开放文本回答中的关键因素:探索性横断面设计,使用在线问卷。研究样本:参与者(n = 538)包括从美国 Hearing Tracker 网站社区和 Lexie Hearing 用户数据库中抽取的成年助听器用户:MEM 衍生项目揭示了与助听器体验相关的六个因素:(1) 生活变化,(2) 社会状况,(3) 生活质量,(4) 影响和言语理解,(5) 沟通和互动,以及 (6) 音乐和环境声音。IOI-HA 第 3 项与 PCA 因子的相关性在统计上最为显著。量子回归显示,因子一和因子二对 IOI-HA 总分有明显的预测作用。在自我报告的听力困难与因子一、四和五之间,以及因子一与一般健康和因子二与体育活动之间,都观察到了正相关性:对开放式文本回答的自然语言分析可以为了解助听器使用者的经历提供宝贵的信息。未来的研究应致力于完善这一方法,以提高临床相关性和普遍性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Audiology
International Journal of Audiology 医学-耳鼻喉科学
CiteScore
4.90
自引率
14.80%
发文量
133
审稿时长
4-8 weeks
期刊介绍: International Journal of Audiology is committed to furthering development of a scientifically robust evidence base for audiology. The journal is published by the British Society of Audiology, the International Society of Audiology and the Nordic Audiological Society.
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