Predictive Risk Factors Associated with Stroke Patient Falls in Acute Care Settings
Predictive Risk Factors Associated with Stroke Patient Falls in Acute Care Settings
复制标题
与急性护理环境中中风患者跌倒相关的预测风险因素
DOI：
10.1097/01376517-199006000-00003
复制
发表时间：
1990
影响因子：
2.3
通讯作者：
K. Finstuen
中科院分区：
文献类型：
--
作者：
V. Byers;M. E. Arrington;K. Finstuen
&NA;本回顾性预测研究的目的是评估急性护理环境中卒中患者发生福尔斯的潜在危险因素。从美国西南部的两个主要医疗中心抽取了202名经历福尔斯的中风患者和111名没有跌倒的中风患者（N = 313）的图表。包括自变量;人口统计学;中风侧;精神、运动和感觉状态;预定的活动水平;药物和实验室值。一个16变量的多元线性回归风险因素方程得出r2 = 300，这是一个高度预测性的发现（F[16，296] = 792，p < .001）。最终结果表明，有福尔斯跌倒史、决策能力受损、表现出坐立不安、全身无力、红细胞压积异常和易疲劳的卒中患者应进行监测，尤其是在大多数福尔斯跌倒发生的夜间。
&NA; The purpose of this retrospective prediction study was to evaluate potential risk factors for falls in stroke patients in the acute care setting. Charts of 202 stroke patients who experienced falls and 111 stroke patients who did not fall (N = 313) were sampled from two major medical centers in the southwestern United States. Independent variables included; demographics; side of stroke; mental, motor and sensory status; activity level ordered; medications and laboratory values. A 16‐variable multiple linear regression risk‐factor equation resulted in r2 = 300, a highly predictive finding (F[16,296] = 792, p < .001). Final results indicate that stroke patients with a history of falls, with impaired decision‐making ability, that exhibit restlessness, generalized weakness, abnormal hematocrit and are easily fatigued should be identified for surveillance, especially at night when most falls occur.