Sauerzopf Lena, Panduro Celina G Chavez, Luft Andreas R, Kühnis Benjamin, Gavagnin Elena, Unger Tim, Awai Christopher Easthope, Schönhammer Josef G, Degenfellner Jürgen, Spiess Martina R
Institute of Occupational Therapy, ZHAW School of Health Sciences, Winterthur, Switzerland.
Faculty of Medicine, University of Zurich, Zurich, Switzerland.
J Neuroeng Rehabil. 2024 Dec 20;21(1):217. doi: 10.1186/s12984-024-01506-7.
Compensatory movements frequently emerge in the process of motor recovery after a stroke. Given their potential for unfavorable long-term effects, it is crucial to assess and document compensatory movements throughout rehabilitation. However, clinically applicable assessment tools are currently limited. Deep learning methods have shown promising potential for assessing movement quality and addressing this gap. A crucial prerequisite for developing an accurate measurement tool is ensuring reliability in assessing compensatory movements, which is essential for establishing a valid ground truth.
The study aimed to assess inter- and intra-rater reliability of occupational and physical therapists' visual assessment of compensatory movements based on video analysis.
Experienced therapists evaluated video-recorded performances of a standardized drinking task through an online labeling system. The standardized drinking task was performed by seven individuals with mild to moderate upper limb motor impairments after a stroke. The therapists rated compensatory movements in predetermined body segments and movement phases using a slider with a continuous scale ranging from 0 (no compensation) to 100 (maximum compensation). The collected data were analyzed using a generalized-linear mixed effects model with zero-inflated beta regression to estimate variance components. Intraclass correlation coefficients (ICC) were calculated to assess inter- and intra-rater reliability.
Twenty-two therapists participated in this study. Inter-rater reliability was good for the phases of reaching, drinking, and returning (ICC ≥ .0.75), and moderate for both phases of transporting. Intra-rater reliability was excellent for the drinking phase (ICC > 0.9) and moderate to good for the phases of reaching, transporting, and returning of our cohort. ICCs for smoothness and interjoint coordination were poor for both inter- and intra-rater reliability. The data analysis unveiled a wide range of credible intervals for the ICCs across all domains examined in this study.
While this study shows promising inter- and intra-rater reliability for the drinking phases within our sample, the wide credible intervals raise the possibility that these results may have occurred by chance. Consequently, we cannot recommend the establishment of a ground truth for the automatic assessment of compensatory movements during a drinking task based on therapists' ratings alone.
代偿性运动在中风后的运动恢复过程中经常出现。鉴于其可能产生不利的长期影响,在整个康复过程中评估和记录代偿性运动至关重要。然而,目前临床上适用的评估工具有限。深度学习方法在评估运动质量和弥补这一差距方面显示出了有前景的潜力。开发准确测量工具的一个关键前提是确保评估代偿性运动的可靠性,这对于建立有效的地面真值至关重要。
本研究旨在评估职业治疗师和物理治疗师基于视频分析对代偿性运动进行视觉评估时的评分者间信度和评分者内信度。
经验丰富的治疗师通过在线标注系统评估标准化饮水任务的视频记录表现。标准化饮水任务由7名中风后轻度至中度上肢运动障碍的个体完成。治疗师使用滑块对预定身体部位和运动阶段的代偿性运动进行评分,滑块的连续量表范围从0(无代偿)到100(最大代偿)。使用具有零膨胀β回归的广义线性混合效应模型分析收集的数据,以估计方差成分。计算组内相关系数(ICC)以评估评分者间信度和评分者内信度。
22名治疗师参与了本研究。评分者间信度在伸手、饮水和返回阶段良好(ICC≥0.75),在运输的两个阶段为中等。评分者内信度在饮水阶段优秀(ICC>0.9),在我们队列的伸手、运输和返回阶段为中等至良好。评分者间和评分者内信度在平滑度和关节间协调性方面的ICC均较差。数据分析揭示了本研究中所有检查领域的ICC的广泛可信区间。
虽然本研究显示了我们样本中饮水阶段有前景的评分者间信度和评分者内信度,但广泛的可信区间增加了这些结果可能是偶然发生的可能性。因此,我们不能仅基于治疗师的评分就推荐为饮水任务期间代偿性运动的自动评估建立地面真值。