Thielemans Thijs, Pans Donné, Chenault Michelene, Anteunis Lucien
a Koninklijke Kentalis, Den Bosch and Sint Michielsgestel , the Netherlands.
b Adelante Audiology and Communication , Hoensbroek , the Netherlands.
Int J Audiol. 2017 Jul;56(7):507-515. doi: 10.1080/14992027.2017.1288302. Epub 2017 Feb 20.
The aim of this study was to derive an independent fitting assistant based on expert consensus. Two questions were asked: (1) what (Dutch) terms do hearing impaired listeners use nowadays to describe their specific hearing aid fitting problems? (2) What is the expert consensus on how to resolve these complaints by adjusting hearing aid parameters?
Hearing aid dispensers provided descriptors that impaired listeners use to describe their reactions to specific hearing aid fitting problems. Hearing aid fitting experts were asked "How would you adjust the hearing aid if its user reports that the aid sounds…?" with the blank filled with each of the 40 most frequently mentioned descriptors.
112 hearing aid dispensers and 15 hearing aid experts. The expert solution with the highest weight value was considered the best solution for that descriptor. Principal component analysis (PCA) was performed to identify a factor structure in fitting problems.
Nine fitting problems could be identified resulting in an expert-based, hearing aid manufacturer independent, fine-tuning fitting assistant for clinical use.
The construction of an expert-based, hearing aid manufacturer independent, fine-tuning fitting assistant to be used as an additional tool in the iterative fitting process is feasible.
本研究旨在基于专家共识得出一个独立的适配助手。提出了两个问题：（1）如今听力受损的听众使用哪些（荷兰语）术语来描述他们特定的助听器适配问题？（2）关于如何通过调整助听器参数来解决这些问题，专家共识是什么？
助听器验配师提供了听力受损听众用于描述他们对特定助听器适配问题反应的描述词。向助听器适配专家提问“如果助听器使用者报告该助听器听起来……，你会如何调整它？”，空白处填入40个最常提到的描述词中的每一个。
112名助听器验配师和15名助听器专家。权重值最高的专家解决方案被视为该描述词的最佳解决方案。进行主成分分析（PCA）以确定适配问题中的因素结构。
可以识别出九个适配问题，从而得出一个基于专家、独立于助听器制造商的用于临床的微调适配助手。
构建一个基于专家、独立于助听器制造商的微调适配助手，用作迭代适配过程中的附加工具是可行的。
