在跌倒和压力损伤风险评估工具中探索AM-PAC得分和移动组件之间的关系:改善护理临床效率的途径
Jan Stenum1, Kevin McLaughlin1, Ioannis Collector1
1Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Journal of clinical nursing
|March 21, 2024
概括
一个单一的移动性评估,急性护理后活动测量 (AM-PAC) 评分,准确预测患者跌倒和压力受伤的风险. 这样可以简化文档,并有助于自动化风险评估.
科学领域:
- 护理 护理 护理
- 医疗保健信息学 医疗保健信息学
- 患者安全 患者安全
背景情况:
- 护士们进行了大量的移动性风险评估.
- 一个统一的评估工具可以提高效率和准确性.
- 这可以实现自动化风险评估系统.
研究的目的:
- 为了评估活动测量后急性护理 (AM-PAC) 流动性得分的预测准确性.
- 确定AM-PAC分数是否可以预测各种落和压力伤害风险工具的移动性组件.
主要方法:
- 从风险评估中收集的AM-PAC分数和流动性数据 (布莱登尺度,起床和出发,JHFRAT,摩尔斯落尺度).
- 使用顺序逻辑回归来从AM-PAC得分中预测风险评估得分.
- 使用STROBE检查表报告的研究.
主要成果:
- AM-PAC得分准确地预测了布雷登,Get Up and Go和JHFRAT的移动组件 (准确率≥85%).
- 对于摩尔斯落量表的预测准确度较低 (40%).
结论:
- 一个单一的流动性评估工具,如AM-PAC,显示了多重风险评估的希望.
- 这种方法有可能提高评估落和压力损伤风险的效率.
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