提高心理治疗患者对智能感应的接受度:随机对照试验的发现
Fabian Rottstädt1,2, Eduard Becker1, Gabriele Wilz3
1Department of Clinical Psychology, Friedrich Schiller University of Jena, Jena, Germany.
Frontiers in digital health
|May 3, 2024
概括
智能感知可以增强心理治疗,但患者接受是关键. 接受促进干预 (AFI) 适度增加了患者对智能传感技术的接受和坚持.
科学领域:
- 数字健康数字健康
- 心理治疗 心理治疗
- 行为科学 行为科学
背景情况:
- 智能传感利用来自数字设备的被动数据收集,提供了增强心理治疗治疗的潜力.
- 患者接受和坚持心理治疗中的智能传感技术仍然是关键的,但不清楚的因素.
- 技术接受和使用的统一理论 (UTAUT) 为理解技术采用提供了一个框架.
研究的目的:
- 调查心理治疗患者对智能传感技术的接受程度.
- 评估促进接受干预 (AFI) 在改善智能传感接纳方面的有效性.
- 确定影响心理治疗患者接受智能感应的关键决定因素.
主要方法:
- 一项随机对照试验,116名患者被分配到接受基于视频的AFI的干预组 (IG) 或接受对照视频的对照组 (CG).
- 在线调查问卷评估了接受度,绩效预期,努力预期,促进条件和社会影响.
- 使用结构方程建模 (SEM) 来分析接受的决定因素.
主要成果:
- 干预组 (IG) 的接受度中等 (M=3.16) 与接受度低的对照组 (CG) (M=2.76) 相比.
- AFI在增加IG接受度方面显示出适度的影响 (p < .05,d = 0.4).
- 绩效预期 (γ=0.63) 和努力预期 (γ=0.36) 被确定为核心决定因素,解释了71.1%的接受差异.
结论:
- AFI是一种有效和有前途的方法,可以提高患者接受和坚持心理治疗中的智能感应.
- 该研究验证了UTAUT框架在预测临床人群中智能感应接受度方面的适用性.
- 解决患者对表现和努力的看法对于在精神卫生保健中成功实施智能感应至关重要.
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