与打算在健康预防中在高风险目标群体中使用教育型移动健康应用程序相关的因素
Peter Bickmann1, Ingo Froböse1, Christopher Grieben2
1Institute of Movement Therapy and Movement-oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, Germany.
mHealth
|November 10, 2025
概括
移动健康 (mHealth) 应用程序可以促进更健康的生活方式,但用户的意图是关键. 这项研究发现,感知到的个人利益和享受显著推动行为意图 (BI) 使用mHealth聊天机器人进行预防性健康.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 行为科学 行为科学
背景情况:
- 在工业化国家,久坐不动的生活方式增加了慢性疾病的风险.
- 移动健康 (mHealth) 应用程序可以促进健康素养和预防性生活方式.
- 了解影响移动健康采用的因素对于有效的数字健康干预至关重要.
研究的目的:
- 调查使用基于聊天机器人的mHealth应用程序的行为意图 (BI).
- 在需要预防性健康行动的个人中确定影响BI的关键决定因素.
- 为设计引人入胜和可持续的数字健康工具提供信息.
主要方法:
- 使用技术接受和使用统一理论2 (UTAUT2) 模型进行定量调查.
- 评估绩效预期 (PE),享乐动机 (HM),社会影响 (SI),努力预期 (EE) 和促进条件 (FC).
- 研究了年龄,性别,先前的mHealth经验,教育和健康素养的缓和效应.
主要成果:
- 绩效预期 (PE) 和享乐动机 (HM) 显著影响了行为意图 (BI) (P<0.001).
- 社会影响力 (SI) 的影响最小,得分最低,表明增强潜力.
- 人口因素和以前的移动健康经验并没有显著影响BI.
结论:
- 引人入胜和用户友好的mHealth应用程序对于激励预防性健康行为至关重要.
- 用户必须感受到个人健康益处 (PE),并享受使用该应用程序 (HM).
- 数据保护法规可能会限制在移动健康干预中整合社会特征.
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