参与基于移动聊天的戒烟干预:随机临床试验的二次分析
Yajie Li1, Tzu Tsun Luk1, Yee Tak Derek Cheung1
1School of Nursing, The University of Hong Kong, Hong Kong Special Administrative Region, China.
JAMA network open
|June 26, 2024
概括
在基于移动聊天的戒烟计划中更高的参与度显著增加了戒烟的机会. 优化用户参与是提高数字健康干预效率的关键.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 公共卫生 公共卫生
背景情况:
- 了解用户对数字健康干预措施的参与,对于优化其有效性至关重要.
- 基于移动聊天的干预措施提供了一个可扩展的戒烟方法.
- 识别参与模式可以预测干预结果.
研究的目的:
- 在基于移动聊天的戒烟干预中确定不同的参与轨迹.
- 检查这些参与轨迹与生化验证的禁烟之间的关联.
主要方法:
- 在香港实用,集群随机临床试验的二次分析.
- 基于小组的轨迹建模被用来分析每周参与者的参与度超过3个月.
- 在3个月和6个月的随访中评估了生化验证的烟草戒断.
主要成果:
- 确定了四种参与度轨迹:低,快速下降,逐渐下降和高参与度.
- 快速下降,逐渐下降和高参与度组的参与者在6个月后表现出明显更高的戒断率,与低参与度组相比.
- 较高的参与度水平始终与3个月和6个月验证的戒烟率的增加相关.
结论:
- 更高的参与以聊天为基础的戒烟干预措施与成功戒烟有很强的关联.
- 改善用户参与数字健康干预的策略可能会提高他们的整体效力.
- 这项研究强调了持续参与对于实现长期健康行为改变的重要性.
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