干预设计对参与和数字自助失眠的结果的影响 - 因数RCT
Amira Hentati1, Nils Hentati Isacsson2, Ann Rosén2
1Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden. amira.hentati@ki.se.
NPJ digital medicine
|July 8, 2025
概括
通过使用图形用户界面 (GUI),自动提醒 (AR) 和自适应治疗策略 (ATS) 来优化失眠的数字自助,显著改善了参与度和减少了症状. 这些改进需要临床医生最少的时间.
科学领域:
- 数字心理健康干预数字心理健康干预
- 人与计算机的互动.
- 临床心理学 临床心理学
背景情况:
- 数字自助干预措施有望改善心理健康护理的准入.
- 用户参与度较低仍然是数字心理健康工具有效性的重要障碍.
- 失眠是一种普遍的疾病,通常用自助策略来治疗.
研究的目的:
- 评估优化的图形用户界面 (GUI),自动提醒 (AR) 和自适应治疗策略 (ATS) 对数字自助失眠干预的参与和结果的影响.
- 确定GUI,AR和ATS的组合是否可以改善用户参与度量,例如登录和活动.
- 评估这些组合数字干预组件对失眠症状严重性的整体有效性.
主要方法:
- 一个单盲2x2x2因子随机对照试验,涉及447名中度至重度失眠的成年人.
- 参与者被随机分配到GUI,AR和ATS干预措施的各种组合中.
- 统计分析包括线性和多级回归与效果编码来分析每个因素的影响.
主要成果:
- 图形用户界面显著改善了自我评分参与度,睡眠日志活动,登录频率和可用性.
- 自动提醒 (AR) 增加了睡眠日志活动和登录.
- 适应性治疗策略 (ATS) 提高了用户满意度,所有三个组件相结合显著减少了失眠症状 (d=0.50).
结论:
- 干预设计元素,包括GUI,AR和ATS,可以大大提高数字自助失眠治疗的参与度和有效性.
- 这些优化的数字干预需要临床医生的时间最小 (ATS的平均时间为13.74分钟).
- 数字自助干预可以通过深思熟虑的设计有效地改进,从而带来更好的患者结果.
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