Center for Health Services and Nursing Research, Faculty of Medicine, KU Leuven, Kapucijnenvoer 35/4, 3000 Leuven, Belgium.
BMC Geriatr. 2013 Oct 4;13:103. doi: 10.1186/1471-2318-13-103.
For prevention and detection of falls, it is essential to unravel the way in which older people fall. This study aims to provide a description of video-based real-life fall events and to examine real-life falls using the classification system by Noury and colleagues, which divides a fall into four phases (the prefall, critical, postfall and recovery phase).
Observational study of three older persons at high risk for falls, residing in assisted living or residential care facilities: a camera system was installed in each participant's room covering all areas, using a centralized PC platform in combination with standard Internet Protocol (IP) cameras. After a fall, two independent researchers analyzed recorded images using the camera position with the clearest viewpoint.
A total of 30 falls occurred of which 26 were recorded on camera over 17 months. Most falls happened in the morning or evening (62%), when no other persons were present (88%). Participants mainly fell backward (initial fall direction and landing configuration) on the pelvis or torso and none could get up unaided. In cases where a call alarm was used (54%), an average of 70 seconds (SD=64; range 15-224) was needed to call for help. Staff responded to the call after an average of eight minutes (SD=8.4; range 2-33). Mean time on the ground was 28 minutes (SD=25.4; range 2-59) without using a call alarm compared to 11 minutes (SD=9.2; range 3-38) when using a call alarm (p=0.445).The real life falls were comparable with the prefall and recovery phase of Noury's classification system. The critical phase, however, showed a prolonged duration in all falls. We suggest distinguishing two separate phases: a prolonged loss of balance phase and the actual descending phase after failure to recover balance, resulting in the impact of the body on the ground. In contrast to the theoretical description, the postfall phase was not typically characterized by inactivity; this depended on the individual.
This study contributes to a better understanding of the fall process in private areas of assisted living and residential care settings in older persons at high risk for falls.
为了预防和检测跌倒,揭示老年人跌倒的方式至关重要。本研究旨在描述基于视频的现实生活中的跌倒事件,并使用 Noury 等人的分类系统检查现实生活中的跌倒,该系统将跌倒分为四个阶段(跌倒前、关键、跌倒后和恢复阶段)。
对居住在辅助生活或住宅护理设施中高跌倒风险的 3 名老年人进行观察性研究:在每个参与者的房间中安装了一个摄像头系统,覆盖所有区域,使用集中式 PC 平台与标准的互联网协议(IP)摄像头相结合。跌倒后,两名独立研究人员使用最清晰视角的摄像头位置分析记录的图像。
在 17 个月的时间里,共发生了 30 起跌倒事件,其中 26 起被摄像机记录下来。大多数跌倒发生在早上或晚上(62%),当时没有其他人在场(88%)。参与者主要向后跌倒(初始跌倒方向和落地配置)在骨盆或躯干上,没有人能够自行站起来。在使用呼叫警报的情况下(54%),平均需要 70 秒(SD=64;范围 15-224)才能呼救。工作人员在平均 8 分钟(SD=8.4;范围 2-33)后响应呼叫。在没有使用呼叫警报的情况下,平均在地面上的时间为 28 分钟(SD=25.4;范围 2-59),而在使用呼叫警报的情况下为 11 分钟(SD=9.2;范围 3-38)(p=0.445)。现实生活中的跌倒与 Noury 分类系统的跌倒前和恢复阶段相当。然而,关键阶段在所有跌倒中都显示出延长的持续时间。我们建议区分两个单独的阶段:平衡丧失的延长阶段和无法恢复平衡后实际下降阶段,导致身体撞击地面。与理论描述相反,跌倒后阶段通常不是无活动状态;这取决于个人。
本研究有助于更好地了解高跌倒风险的老年人在辅助生活和住宅护理环境的私人区域中的跌倒过程。