使用健康论坛数据来评估用户对mHealth应用程序开发的需求:关于阿尔茨海默病的可行性研究
Danny T Y Wu1,2, Shwetha Bindhu1, Hoang Vu1
1College of Medicine, University of Cincinnati, Cincinnati, OH.
概括
在线健康论坛为设计数字健康应用程序提供了宝贵的见解,特别是在阿尔茨海默氏症管理方面. 患者和护理人员帖子的自动化分析可以识别用户的需求,尽管需要进一步的细化,以获得更广泛的应用.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 医疗信息学 医疗信息学
- 神经退行性疾病 神经退行性疾病
背景情况:
- 在线健康论坛是患者和护理人员的关键社区和信息中心,特别是在管理慢性疾病方面.
- 这些平台提供了一个潜在的数据源,以了解用户在数字健康应用程序设计中的需求.
研究的目的:
- 评估使用关于阿尔茨海默病的在线论坛讨论以告知移动健康应用程序设计的可行性.
- 确定文本聚类方法是否可以自动识别这些在线讨论中的用户需求.
主要方法:
- 413个与阿尔茨海默病相关的在线论坛帖子的手动主题编码,以确定患者和护理人员的需求.
- 应用文本聚类算法来自动化论坛数据的分析.
- 外部评估比较自动化和手动编码结果,以及个人开发以验证论坛生成的需求.
主要成果:
- 手动分析确定了三个主要主题和九个子主题,反映了阿尔茨海默病管理的患者和护理人员需求.
- 自动化文本集群展示了与手工衍生标签相当相似的相似性.
- 开发人员证实了从论坛数据中确定的需求的有效性.
结论:
- 在线健康论坛数据是了解用户在数字健康设计中的需求的可行来源.
- 使用文本集群的自动化分析显示出有希望的结果,但需要进一步精细化,以便在不同疾病和数据类型中实现泛化.
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