个性化策略,以增加参与数字心理健康资源:顺序多重分配随机试验
Julien Rouvere1, Isabell R Griffith Fillipo1, Meghan Romanelli2
1Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA, 98195-6560, United States, 1 206-221-5498.
JMIR mental health
|November 4, 2025
概括
个性化心理健康网站以人口定制显著提高了用户参与度和资源点击率. 根据感知需求或下一步步骤调整的影响较小,强调人口统计学是在线心理健康资源有效性的关键.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 心理健康干预 心理健康干预
背景情况:
- 基于网络的心理健康资源提供了可扩展的解决方案,但用户参与度较低.
- 许多用户在网上访问有益的心理健康工具之前会退出.
- 传统治疗的障碍增加了有效的在线资源的重要性.
研究的目的:
- 评估个性化定制是否能提高自我引导心理健康网站的参与度.
- 基于人口统计数据的定制效率与感知需求和预期的下一步相比较.
主要方法:
- 在美国心理健康网站上进行了一项连续的多项分配随机试验.
- 参与者被随机分配到涉及人口调查或"下一步"调查的条件中,以量身定制.
- 参与度是通过脱离参与率和点击特色资源与一般资源来衡量.
主要成果:
- 添加量身定制问题最初增加了14%的脱离率.
- 根据人口统计数据量身定制资源显著减少了10%的脱离,并增加了90%的特色资源点击.
- 根据感知到的需求或下一步的调整并没有显著减少脱离,但显示了资源点击的适度增加.
结论:
- 个性化,特别是根据人口统计数据量身定制,可以提高对在线心理健康资源的参与度.
- 虽然最初的定制问题可能会稍微增加脱离,但人口定制证明是最有效的.
- 这些发现为优化用户参与数字心理健康平台提供了设计意义.
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