Brosseau L, Philippe P, Potvin L, Boulanger Y L
Physiotherapy Program, University of Ottawa, Ontario, Canada.
Am J Phys Med Rehabil. 1996 Nov-Dec;75(6):422-30. doi: 10.1097/00002060-199611000-00005.
This study was undertaken to identify factors predicting stroke inpatient rehabilitation length of stay in an acute inpatient rehabilitation program, including occupational therapy, physical therapy, and speech therapy. A cohort of 152 patients suffering from stroke (76 women and 76 men) voluntarily participated in this study. They were recruited from a general hospital in which they had received physical rehabilitation. The functional status of patients was observed by a physiotherapist, using the Functional Independence Measure(SM). The functional status was observed on patient admission to rehabilitation and at 1 wk from admission. Post-stroke biologic characteristics, including physical, neuropsychological, and clinical characteristics, as well as sociodemographic characteristics were also collected. A path analysis, using successive multiple linear regressions, was adopted to predict length of stay in rehabilitation. Significant predictors of length of stay were age, functional status at 1 wk post-rehabilitation admission, perceptual status, and balance status. These predictors accounted for 43.6% of the total variance in the rehabilitation length of stay. Indirect predictors of length of stay were identified as the following: functional status at admission, rehabilitation program, motor status, communication problems, and medical complications. Functional, biologic, and sociodemographic characteristics should be considered simultaneously in the prediction of length of stay as well as for the better understanding of the stroke rehabilitation process.
本研究旨在确定预测急性住院康复项目中中风住院患者康复住院时间的因素,包括职业治疗、物理治疗和言语治疗。152名中风患者(76名女性和76名男性)自愿参与了本研究。他们是从一家为他们提供了物理康复治疗的综合医院招募而来的。由一名物理治疗师使用功能独立性测量量表(SM)观察患者的功能状态。在患者入院接受康复治疗时以及入院后1周时观察其功能状态。还收集了中风后的生物学特征,包括身体、神经心理学和临床特征,以及社会人口统计学特征。采用逐步多元线性回归的路径分析来预测康复住院时间。住院时间的显著预测因素为年龄、康复入院后1周时的功能状态、感知状态和平衡状态。这些预测因素占康复住院时间总方差的43.6%。住院时间的间接预测因素被确定如下:入院时的功能状态、康复项目、运动状态、沟通问题和医疗并发症。在预测住院时间以及更好地理解中风康复过程时,应同时考虑功能、生物学和社会人口统计学特征。