Pyykkő Ilmari, Manchaiah Vinaya, Levo Hilla, Kentala Erna, Juhola Martti
a Department of Otolaryngology, Hearing and Balance Research Unit , University of Tampere , Tampere , Finland.
b Department of Speech and Hearing Sciences , Lamar University , Beaumont , TX , USA.
Int J Audiol. 2017 Jul;56(7):453-463. doi: 10.1080/14992027.2017.1282631. Epub 2017 Feb 9.
This paper presents a summary of web-based data collection, impact evaluation, and user evaluations of an Internet-based peer support program for Ménière's disease (MD).
The program is written in html-form. The data are stored in a MySQL database and uses machine learning in the diagnosis of MD. The program works interactively with the user and assesses the participant's disorder profile in various dimensions (i.e., symptoms, impact, personal traits, and positive attitude). The inference engine uses a database to compare the impact with 50 referents, and provides regular feedback to the user. Data were analysed using descriptive statistics and regression analysis.
The impact evaluation was based on 740 cases and the user evaluation on a sample of 75 cases of MD respectively.
The web-based system was useful in data collection and impact evaluation of people with MD. Among those with a recent onset of MD, 78% rated the program as useful or very useful, whereas those with chronic MD rated the program 55%.
We suggest that a web-based data collection and impact evaluation for peer support can be helpful while formulating the rehabilitation goals of building the self-confidence needed for coping and increasing social participation.
本文概述了一项针对梅尼埃病（MD）的基于互联网的同伴支持计划的网络数据收集、影响评估和用户评价。
该计划采用html格式编写。数据存储在MySQL数据库中，并在MD诊断中使用机器学习。该计划与用户进行交互式工作，并从多个维度（即症状、影响、个人特质和积极态度）评估参与者的疾病概况。推理引擎使用数据库将影响与50个参考对象进行比较，并定期向用户提供反馈。使用描述性统计和回归分析对数据进行分析。
影响评估分别基于740例病例，用户评价基于75例MD病例的样本。
基于网络的系统对MD患者的数据收集和影响评估很有用。在近期发病的MD患者中，78%的人认为该计划有用或非常有用，而慢性MD患者中这一比例为55%。
我们建议，在制定康复目标以建立应对所需的自信心并增加社会参与度时，基于网络的数据收集和同伴支持影响评估可能会有所帮助。
