揭开与数字健康干预相关的因素:跨部门研究
Ilona Ruotsalainen1, Mikko Valtanen2,3, Riikka Kärsämä2
1VTT Technical Research Centre of Finland Ltd, Kuopio, Finland.
JMIR mHealth and uHealth
|December 9, 2025
概括
数字健康干预 (DHIs) 在具有更好的社会经济地位,健康和数字服务经验的人群中显示出更高的吸收率. 较低的社会经济地位和较差的健康习惯与较低的DHI采用有关,突出显示了潜在的数字健康不平等.
科学领域:
- 数字健康数字健康
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 慢性非传染性疾病 (NCDs) 需要改变生活方式和行为来预防.
- 数字健康干预 (DHI) 提供可扩展的解决方案,但在公平的覆盖范围内面临挑战.
- 了解影响DHI吸收的因素对于有效的公共卫生战略至关重要.
研究的目的:
- 调查社会经济因素,健康状况,生活方式行为和电子服务态度/经验与DHI吸收之间的联系.
- 在基于人口的样本中确定成功的DHI参与的关键预测因素.
主要方法:
- 一项涉及6978名参与者 (20-74岁) 的横截面研究,来自健康芬兰调查.
- DHI采用 (BitHabit应用程序) 被定义为成功注册和参与.
- 预测者使用后勤回归分析,结合国家注册表和自我报告的调查数据.
主要成果:
- DHI的吸收率为18.5% (1287名参与者).
- 在女性,中年人群,收入较高和受过更高教育的参与者中观察到更高的吸收率.
- 发现与更健康的生活方式 (饮食,不吸烟,睡眠,功能能力,自我评估健康) 的积极关联.
- 最强的预测因素包括先前使用电子服务,感知能力,低数据安全问题,对数字效益的信念和良好的互联网连接.
结论:
- DHI的采用受到社会经济地位,健康,生活方式,特别是数字服务体验的显著影响.
- 社会经济地位较低,健康状况较差,数字化参与度较低的个人不太可能采用DHIs.
- 有针对性的战略对于缓解数字健康不平等和确保更广泛的DHI覆盖和参与至关重要.
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