Health Services Research & Development, James A. Haley Veterans Hospital, Tampa, FL, USA.
Arch Phys Med Rehabil. 2010 Aug;91(8):1166-73. doi: 10.1016/j.apmr.2010.05.008.
(1) To determine the incidence of wheelchair falls and fall-related injuries in persons with spinal cord injury (SCI) living in the community. (2) To predict wheelchair-related falls and associated injuries from specific parameters including characteristics of the wheelchair user, wheelchair type and features, health care practices, wheelchair activities, and physical environment.
This prospective cohort study followed participants monthly over 1 year; data were collected through surveys, interviews, performance testing, observation, and medical records.
Three Veterans' Administration hospitals.
Convenience sample of community-dwelling persons with SCI who used a wheelchair as their primary means of mobility (N=702).
Not applicable.
Self-reports of wheelchair falls and fall-related injuries, Wheelchair User Characteristics Survey, Health Status Checklist, Health-Related Behaviors, Zuckerman Sensation Seeking Scale, Wheelchair and Equipment-Related Behaviors, Wheelchair Characteristics, Wheelchair Skills Test, and Physical Environment Assessment.
Of the 659 subjects who completed the study, 204 participants (31%) reported 553 fall events, and 95 subjects (14%) were injured as a result of wheelchair falls. A logistic regression model for predicting wheelchair falls identified 6 significant risk factors: pain in previous 2 months, alcohol abuse, greater motor function, history of previous fall, fewer SCI years, and shorter length of wheelchair. Eighty-two percent of the variance for wheelchair fall events was explained by these 6 variables. A logistic regression model for predicting injurious falls identified 4 significant risk factors: pain in previous 2 months, greater motor function, history of previous fall, and inaccessible home entrance. These 4 factors were able to explain 81% of the variance for injurious falls.
This is the first study to determine the incidence of wheelchair-related falls in community-dwelling people with SCI who use a wheelchair. Results indicate the incidence of falls was 31% and injurious falls was 14%. Those at greatest risk can be predicted from some readily available information regarding their clinical status, wheelchair features, and home environment.
(1)确定居住在社区中的脊髓损伤(SCI)患者的轮椅跌倒发生率和与跌倒相关的伤害。(2)通过特定参数预测与轮椅相关的跌倒和相关伤害,包括轮椅使用者的特征、轮椅类型和特点、医疗保健实践、轮椅活动和物理环境。
本前瞻性队列研究对参与者进行了为期 1 年的每月随访;数据通过调查、访谈、性能测试、观察和病历收集。
三家退伍军人事务医院。
作为主要移动手段使用轮椅的社区居住的 SCI 患者的便利样本(N=702)。
不适用。
轮椅跌倒和与跌倒相关的伤害的自我报告、轮椅使用者特征调查、健康状况检查表、健康相关行为、Zuckerman 感觉寻求量表、轮椅和设备相关行为、轮椅特点、轮椅技能测试和物理环境评估。
在完成研究的 659 名受试者中,有 204 名参与者(31%)报告了 553 起跌倒事件,有 95 名参与者(14%)因轮椅跌倒而受伤。预测轮椅跌倒的逻辑回归模型确定了 6 个显著的危险因素:前 2 个月的疼痛、酗酒、更大的运动功能、以前的跌倒史、更少的 SCI 年数和更短的轮椅长度。这些 6 个变量可以解释 82%的轮椅跌倒事件的差异。预测受伤跌倒的逻辑回归模型确定了 4 个显著的危险因素:前 2 个月的疼痛、更大的运动功能、以前的跌倒史和难以进入的入口。这 4 个因素能够解释 81%的受伤跌倒的差异。
这是第一项确定使用轮椅的社区居住的 SCI 患者与轮椅相关的跌倒发生率的研究。结果表明,跌倒发生率为 31%,受伤跌倒发生率为 14%。那些风险最大的人可以通过他们的临床状况、轮椅特点和家庭环境方面的一些现成信息来预测。