根据类型和方法对戒烟的数字干预措施的有效性:系统审查和网络元分析
Shen Li1, Yiyang Li1,2, Chenhao Xu2
1Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China.
Nature human behaviour
|September 2, 2025
概括
数字化干预措施显著提高了戒烟率,个性化和基于短信的方法最有效. 与标准护理相比,中年患者和更短的干预时间表现出更好的结果.
科学领域:
- 公共卫生
- 数字健康
- 行为科学
背景情况:
- 戒烟对于减少与烟草有关的健康风险至关重要.
- 传统的干预措施的影响力有限, 引发了对数字解决方案的兴趣.
- 不同方法和技术之间的数字干预的比较有效性尚未得到充分证实.
研究的目的:
- 评估数字戒烟干预措施与标准护理的比较有效性.
- 根据干预方法和技术类型分析有效性.
- 确定影响干预成功的因素,如年龄和干预持续时间.
主要方法:
- 对152个随机对照试验的频率主义随机效应网络元分析.
- 干预措施按方法 (个性化,群体定制) 和技术 (基于文本信息) 分类.
- 进行了小组分析,以检查疗效的差异.
主要成果:
- 个性化数字干预显著增加了戒烟率 (RR 1.86).
- 基于短信的干预措施 (RR 1.63) 尤其有效.
- 疗效因年龄而异,中年患者获得更大的益处;较短的干预比长期的干预更有效.
结论:
- 数字化干预,尤其是个性化和基于短信的干预,是戒烟的有效工具.
- 干预设计,持续时间和目标人口影响结果.
- 需要通过大规模试验和标准化方法进行进一步的研究,以确认长期的可持续性和特定人群的反应.
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