Vercammen Charlotte, Oosthuizen Ilze, Manchaiah Vinaya, Ratinaud Pierre, Launer Stefan, Swanepoel De Wet
Sonova AG, Research & Development, Stäfa, Switzerland.
Manchester Centre for Audiology and Deafness, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
Front Digit Health. 2023 Mar 15;5:1104308. doi: 10.3389/fdgth.2023.1104308. eCollection 2023.
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.
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., self-reported satisfaction ratings indicating a positive or negative experience.
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.
This first report of open-text statements, collected through self-initiated 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.
智能手机技术可以提供一种有效的方式,将助听器佩戴者的现实生活和(近乎)实时反馈引入诊所。生态瞬时评估(EMA)鼓励听众在经历发生期间或之后不久报告他们的经历,以尽量减少回忆偏差,例如,在移动应用程序中的调查引导下。此外,允许听众用自己的语言描述经历,确保答案独立于预先定义的行话或调查问题的表述方式。通过这些方式,可以获得生态有效数据集,例如在助听器试用期间,这可以支持临床医生评估客户的需求,为微调提供指导并进行咨询。在更大范围内,这样的数据集将有助于训练机器学习算法,从而帮助听力技术预测用户需求。
在对临床数据集进行的这项回顾性探索性分析中,我们对8793条开放式文本陈述进行了聚类分析,这些陈述是由2301名助听器佩戴者通过自我发起的EMA收集的,作为他们听力护理的一部分。我们的目的是通过识别报告中出现的主题,探索听众如何用自己的语言(近乎)实时描述他们使用听力技术的日常生活经历。我们还探讨了所识别的主题是否与经历的性质相关,即自我报告的满意度评分表明是积极还是消极经历。
结果表明,近60%的听众报告与具有挑战性的情境中的言语可懂度和音质维度有关,并且往往被视为积极经历。相比之下,近40%的报告与助听器管理有关,并且往往被视为消极经历。
作为临床实践一部分通过自我发起的EMA收集的这份关于开放式文本陈述的首份报告表明,虽然EMA可能给参与者带来负担,但至少有一部分积极的助听器佩戴者可以使用这些新颖工具提供反馈,以实现更具响应性、个性化和以家庭为中心的听力护理。