保险中自我追踪的社会理由:采用和使用的混合方法方法
Bastien Presset1,2, Fabien Ohl1
1Institute of Sport Sciences, Faculty of Social and Political Science, University of Lausanne, Lausanne, Switzerland.
Digital health
|June 16, 2023
概括
医疗保险中的自我追踪受社会背景的影响. 老年人,贫困者和受教育程度较低的人不太可能采用这种技术,这凸显了其生殖惯性.
科学领域:
- 卫生社会学 卫生社会学
- 数字健康数字健康
- 卫生政策分析 卫生政策分析
背景情况:
- 研究了自我跟踪在个人价值观和实践中的作用,但其在健康政策和保险中的制度化形式仍未得到充分探索.
- 社会人口学变量,社会化和生活轨迹对自动跟踪采用和使用的影响在很大程度上被忽视了.
研究的目的:
- 调查用户社会背景对保险计划中自动跟踪技术的采用和使用的影响.
- 根据他们参与自我跟踪干预的情况,识别和描述不同类别的用户.
主要方法:
- 采用混合方法方法,将医疗保险自我跟踪计划的用户和非用户的定量 (n=818) 和定性 (n=44) 数据结合起来.
- 利用布尔迪欧的理论框架来分析社会结构对技术采用的影响.
主要成果:
- 年龄较大,贫困程度较低,受教育程度较低的人群对自动追踪技术的采用率较低.
- 确定了四个不同的用户类别:功利主义者,诉讼者,审查者和善意者,每个都有独特的使用模式.
- 用户对自我跟踪的参与在很大程度上取决于他们的社会背景,社交和生活轨迹.
结论:
- 该研究表明,自我追踪的变革潜力可能被高估了,而其重现现有社会不平等 (生殖惯性) 的能力被低估了.
- 这些发现对学者,设计师和公共卫生利益相关者来说,对自动跟踪技术的公平实施有着重大影响.
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