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视频录像与跌倒事件报告在长期护理中跌倒情况的一致性。

Agreement between video footage and fall incident reports on the circumstances of falls in long-term care.

机构信息

Technology for Injury Prevention in Seniors (TIPS) Program, Injury Prevention and Mobility Laboratory, Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.

Technology for Injury Prevention in Seniors (TIPS) Program, Injury Prevention and Mobility Laboratory, Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada; Seniors Fall and Injury Prevention, Older Adult Program, Fraser Health Authority, Surrey, BC, Canada.

出版信息

J Am Med Dir Assoc. 2015 May 1;16(5):388-94. doi: 10.1016/j.jamda.2014.12.003. Epub 2015 Feb 7.

Abstract

OBJECTIVE

Incident reports guide fall prevention efforts in long-term care (LTC) facilities, often based on descriptions of how falls occurred. The validity of these reports is poorly understood. We examined agreement on fall characteristics between fall incident reports and analysis of video footage of real-life falls in LTC.

DESIGN/SETTING/PARTICIPANTS: Video capture of 863 falls (by 309 individuals) over 6 years in common areas of 2 LTC facilities in British Columbia.

MEASUREMENTS

We reviewed each fall video with a previously validated questionnaire to determine the cause of imbalance leading to the fall, activity at the time of falling, and use of mobility aids. These data were compared with corresponding information recorded by staff on fall incident reports.

RESULTS

There was agreement between video analysis and incident reports on the cause of imbalance in 45.5% of falls (kappa = 0.25), on activity at time of falling in 45.1% of falls (kappa = 0.22), and on use of mobility aids in 79.5% of falls (kappa = 0.59). When compared with video analysis, incident reports overreported falls due to slips, and falling while rising and while using a wheelchair or walker. Incident reports also underreported falls due to hit/bump and loss-of-support, and falling while standing and sitting down.

CONCLUSION

In more than 50% of falls, we found discrepancies between fall incident reports and analysis of video footage on the cause of imbalance and activity while falling. Emerging technologies incorporating video capture or wearable sensors should improve our ability to understand the mechanisms and improve the prevention of falls in LTC.

摘要

目的

事件报告指导长期护理(LTC)设施中的跌倒预防工作,这些报告通常基于跌倒如何发生的描述。这些报告的有效性知之甚少。我们研究了跌倒事件报告和对 LTC 实际跌倒视频分析之间在跌倒特征上的一致性。

设计/环境/参与者:在不列颠哥伦比亚省 2 家 LTC 设施的公共区域,6 年间共拍摄了 863 例(涉及 309 人)跌倒的视频。

测量

我们使用先前验证过的问卷对每例跌倒视频进行评估,以确定导致跌倒的平衡失调原因、跌倒时的活动情况以及移动辅助工具的使用情况。这些数据与工作人员在跌倒事件报告中记录的相应信息进行了比较。

结果

在 45.5%(kappa=0.25)的跌倒事件中,视频分析与事件报告在导致平衡失调的原因方面存在一致性,在 45.1%(kappa=0.22)的跌倒事件中,在跌倒时的活动方面存在一致性,在 79.5%(kappa=0.59)的跌倒事件中,在移动辅助工具的使用方面存在一致性。与视频分析相比,事件报告中滑倒和起身时、使用轮椅或助行器时跌倒的报告更多,因撞击/碰撞和失去支撑以及站立和坐下时跌倒的报告更少。

结论

在超过 50%的跌倒事件中,我们发现跌倒事件报告和视频分析在平衡失调原因和跌倒时的活动方面存在差异。结合视频捕捉或可穿戴传感器的新兴技术应该能够提高我们对跌倒机制的理解,并改善 LTC 中的跌倒预防。

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