参与在线自我管理计划的预测因素:一项纵向观察性研究
Elena D Staguhn1, Tricia Kirkhart2, Lauren Allen1
1Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health.
Rehabilitation psychology
|November 13, 2023
概括
年长的成年人和对计划完成有信心的人对在线健康计划的参与度更高. 识别这些患者特征可以提高干预的有效性和健康结果.
科学领域:
- 数字健康数字健康
- 行为健康干预 行为健康干预
- 患者参与 患者参与
背景情况:
- 患者参与对于在线自我管理和行为健康干预至关重要.
- 低参与度阻碍了数字健康计划的有效性.
- 了解患者的特征可以优化干预设计.
研究的目的:
- 为了确定预测参与在线自我管理计划的患者特征.
- 评估影响数字健康干预全面和部分参与的因素.
主要方法:
- 一个基线问卷评估了435名参与者的预测因素.
- 参与者参与了两个不同的在线自我管理和恢复计划.
- 参与被定义为完成所有 (全部) 或至少一个 (部分) 课程/评估.
主要成果:
- 全面参与的预测因素:自我评价的信心和60岁以上的年龄.
- 部分参与预测因素:之前的在线订购经验和50岁以上的年龄.
- 人口统计和自我有效性因素影响了数字干预的普及.
结论:
- 识别参与度较低的个人的个人资料是改善干预实施的关键.
- 根据参与预测因素定制干预措施可以提高健康结果.
- 研究结果支持在数字健康计划设计中采用个性化方法.
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