基于虚拟现实的自我指导培训,用于识别健康成年人的负面自动思想:混合方法可行性研究
Bixi Yang1, Chenxi Liao1, Yuqing Yang2,1
1Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Frontiers in psychiatry
|December 12, 2024
概括
在抑郁症中识别负面自动思想的虚拟现实培训是可行的和可以接受的. 这种VR-STINAT干预显示了提高认知重组技能的前景.
科学领域:
- 心理学 心理学 心理学
- 数字健康数字健康
- 虚拟现实应用 虚拟现实应用
背景情况:
- 认知重组 (CR) 是一种有效的抑郁症治疗方法,但其可用性有限.
- 数字CR干预通常难以帮助个人识别负面自动思想 (NAT).
- 虚拟现实 (VR) 提供了在CR中增强NAT识别的潜力.
研究的目的:
- 评估基于VR的自导训练在抑郁症中进行NAT识别 (VR-STINAT) 的可行性,有效性,可接受性和安全性.
- 为了评估用户对VR-STINAT干预的体验.
主要方法:
- 一项混合方法研究,对20名健康参与者进行了研究.
- VR-STINAT包括心理教育,基于VR的NAT识别和个人场景实践的模块.
- 通过TRSA和CTAS测量的有效性; 通过技术接受模型的可接受性; 通过SSQ和情感自我报告的安全性; 通过专题分析进行定性数据.
主要成果:
- VR-STINAT 显示了高可接受性 (80.68%) 和良好的 NAT 识别准确性 (TRSA 84.55%,CTAS 76.67%).
- 大多数参与者 (85%) 学会识别NAT,发现培训具有吸引力 (90%) 并且易于使用 (60%).
- 报告的副作用很少,尽管有些人经历了疲劳和疼痛.
结论:
- VR-STINAT是一种可行且可接受的自我指导培训,用于识别与抑郁症相关的NAT.
- 需要进一步的研究来比较VR疗效与抑郁症的其他干预方式.
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