A device and an app for the diagnosis and self-management of tinnitus.

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2022-08-30 eCollection Date: 2022-09-01 DOI:10.1515/jib-2022-0004
Pierpaolo Vittorini, Pablo Chamoso, Fernando De la Prieta
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Abstract

Tinnitus is an annoying ringing in the ears, in varying shades and intensities. Tinnitus can affect a person's overall health and social well-being (e.g., sleep problems, trouble concentrating, anxiety, depression and inability to work). The diagnostic procedure of tinnitus usually consists of three steps: an audiological examination, psychoacoustic measurement, and a disability evaluation. All steps are performed by physicians, who use specialised hardware/software and administer questionnaires. This paper presents a system, to be used by patients, for the diagnosis and self-management of tinnitus. The system is made up of an app and a device. The app is responsible for executing - through the device - a part of the required audiological and psychoacoustic examinations, as well as administering questionnaires that evaluate disability. The paper reviews the quality of the automated audiometric reporting and the user experience provided by the app. Descriptive and inferential statistics were used to support the findings. The results show that automated reporting is comparable with that of physicians and that user experience was improved by re-designing and re-developing the acufenometry of the app. As for the user experience, two experts in Human-Computer Interaction evaluated the first version of the app: their agreement was good (Cohen's K = 0.639) and the average rating of the app was 1.43/2. Also patients evaluated the app in its initial version: the satisfactory tasks (audiometry and questionnaires) were rated as 4.31/5 and 4.65/5. The unsatisfactory task (acufenometry) was improved and the average rating increased from 2.86/5 to 3.96/5 (p = 0.0005). Finally, the general usability of the app was increased from the initial value of 73.6/100 to 85.4/100 (p = 0.0003). The strengths of the project are twofold. Firstly, the automated reporting feature, which - to the best of our knowledge - is the first attempt in this area. Secondly, the overall app usability, which was evaluated and improved during its development. In summary, the conclusion drawn from the conducted project is that the system works as expected, and despite some weaknesses, also the replication of the device would not be expensive, and it can be used in different scenarios.

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用于耳鸣诊断和自我管理的设备和应用程序。
耳鸣是一种令人讨厌的耳鸣,其程度和强度各不相同。耳鸣会影响一个人的整体健康和社会福祉(例如,睡眠问题、注意力不集中、焦虑、抑郁和无法工作)。耳鸣的诊断程序通常包括三个步骤:听力学检查、心理声学测量和残疾评估。所有步骤都由医生执行,他们使用专门的硬件/软件并管理问卷。本文介绍了一个供患者使用的耳鸣诊断和自我管理系统。该系统由一个应用程序和一个设备组成。该应用程序负责通过设备执行部分必要的听力学和心理声学检查,以及管理评估残疾的问卷。本文回顾了自动听力报告的质量和应用程序提供的用户体验。描述性和推断性统计数据用于支持研究结果。结果表明,自动报告与医生的报告相当,通过重新设计和重新开发应用程序的acufenometry,用户体验得到了改善。至于用户体验,两位人机交互专家评估了第一版应用程序:他们的一致性很好(Cohen’s K = 0.639),应用程序的平均评分为1.43/2。患者还对应用程序的初始版本进行了评估:满意的任务(听力测量和问卷调查)被评为4.31/5和4.65/5。不满意任务(针眼测量)得到改善,平均评分从2.86/5提高到3.96/5 (p = 0.0005)。最后,应用程序的总体可用性从初始值73.6/100提高到85.4/100 (p = 0.0003)。该项目的优势是双重的。首先是自动报告功能,据我们所知,这是该领域的首次尝试。其次,应用的整体可用性,在开发过程中进行评估和改进。综上所述,从所进行的项目中得出的结论是,该系统如预期的那样工作,尽管存在一些弱点,但该设备的复制也不会昂贵,并且可以在不同的场景中使用。
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
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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