谵妄
医学
虚拟现实
重症监护室
随机对照试验
临床试验
重症监护医学
物理医学与康复
重症监护
协议(科学)
入射(几何)
病危
急诊医学
人机交互
内科学
计算机科学
病理
替代医学
物理
光学
作者
Aileen C. Naef,Marie‐Madlen Jeitziner,Stephan M. Gerber,Béatrice Jenni‐Moser,René M. Müri,Stephan M. Jakob,Tobias Nef,Matthias Hänggi
出处
期刊:Trials
[Springer Science+Business Media]
日期:2021-03-01
卷期号:22 (1)
被引量:18
标识
DOI:10.1186/s13063-021-05090-2
摘要
Abstract Background Delirium has been long considered as a major contributor to cognitive impairments and increased mortality following a critical illness. Pharmacologic and non-pharmacologic strategies are used against delirium in the intensive care unit (ICU), despite these strategies remaining controversial. Previous studies have shown the feasibility of using virtual reality within the ICU setting, and we propose to use this technology to investigate the effect of immersive virtual reality stimulation on the incidence of delirium in the ICU. Moreover, we propose to use motion sensors to determine if patient movement patterns can lead to early prediction of delirium onset. Methods This study is conducted as a randomized clinical trial. A total of 920 critically ill patients in the ICU will participate. The control group will receive standard ICU care, whereas the intervention group will, in addition to the standard ICU care, receive relaxing 360-degree immersive virtual reality content played inside a head-mounted display with noise-cancelling headphones, three times a day. The first 100 patients, regardless of their group, will additionally have their movement patterns recorded using wearable and ambient sensors. Follow-up measurements will take place 6 months after discharge from the ICU. Discussion Delirium is widely present within the ICU setting but lacks validated prevention and treatment strategies. By providing patients with virtual reality stimulation presented inside a head-mounted display and noise-cancelling headphones, participants may be isolated from disturbances on an ICU. It is believed that by doing so, the incidence of delirium will be decrease among these patients. Moreover, identifying movement patterns associated with delirium would allow for early detection and intervention, which may further improve long-term negative outcomes associated with delirium during critical care. Trial registration ClinicalTrials.gov NCT04498585 . Registered on August 3, 2020
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