five

Table_1_Influence of the Intensive Care Unit Environment on the Reliability of the Montreal Cognitive Assessment.docx

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://figshare.com/articles/dataset/Table_1_Influence_of_the_Intensive_Care_Unit_Environment_on_the_Reliability_of_the_Montreal_Cognitive_Assessment_docx/8494853
下载链接
链接失效反馈
官方服务:
资源简介:
Background: Neuropsychological screening becomes increasingly important for the evaluation of subarachnoid hemorrhage (SAH) and stroke patients. It is often performed during the surveillance period on the intensive (ICU), while it remains unknown, whether the distraction in this environment influences the results. We aimed to study the reliability of the Montreal Cognitive Assessment (MoCA) in the ICU environment. Methods: Consecutive stable patients with recent brain injury (tumor, trauma, stroke, etc.) were evaluated twice within 36 h using official parallel versions of the MoCA (ΔMoCA). The sequence of assessment was randomized into (a) busy ICU first or (b) quiet office first with subsequent crossover. For repeated MoCA, we determined sequence, period, location effects, and the intraclass correlation coefficient (ICC). Results:N = 50 patients were studied [n = 30 (60%) male], with a mean age of 57 years. The assessment's sequence [“ICU first” mean ΔMoCA −1.14 (SD 2.34) vs. “Office first” −0.73 (SD 1.52)] did not influence the MoCA (p = 0.47). On the 2nd period, participants scored 0.96 points worse (SD 2.01; p = 0.001), indicating no MoCA learning effect but a possible difference in parallel versions. There was no location effect (p = 0.31) with ΔMoCA between locations (Office minus ICU) of −0.32 (SD 2.21). The ICC for repeated MoCA was 0.87 (95% CI 0.79–0.92). Conclusions: The reliability of the MoCA was excellent, independent from the testing environment being ICU or office. This finding is helpful for patient care and studies investigating the effect of a therapeutic intervention on the neuropsychological outcome after SAH, stroke or traumatic brain injury.
创建时间:
2019-07-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作