Kim Emily Ang Neo, Mordiffi Siti Zubaidah, Bee Wong Hwee, Devi Kamala, Evans David
University of Adelaide, South Australia, Australia.
J Adv Nurs. 2007 Nov;60(4):427-35. doi: 10.1111/j.1365-2648.2007.04419.x.
This paper is a report of a study to evaluate the validity of three fall-risk assessment tools to identify patients at high risk for falls.
Patient falls make up 38% of all adverse events occurring in hospital settings, and may result in physical injury and undesirable emotional and financial outcomes. No single fall-risk assessment tool has been conclusively validated.
The Morse Fall Scale, St Thomas Risk Assessment Tool in Falling Elderly Inpatients, and Hendrich II Fall Risk Model were validated in inter-rater reliability and validity studies in 2003. This included assessment of the probability of disagreement, kappa-values, sensitivity, specificity, positive predictive values and negative predictive values of the assessment tools with the associated 95% CI.
One hundred and forty-four patients were recruited for the inter-rater reliability study. The probabilities of disagreement were between 2.8% and 9.7%, and 95% CI for all tools ranged from 1.1% to 15.7%. The kappa-values were all higher than 0.80. In the validity study, 5489 patients were recruited to observe 60 falls. The Morse Fall Scale at a cutoff score of 25 and Heindrich II Fall Risk Model at a cutoff score of 5 had strong sensitivity values of 88% and 70%, respectively. However, in comparison with the Morse Fall Scale (specificity = 48.3%), only the Heindrich II Fall Risk Model had a more acceptable level of specificity (61.5%).
The Heindrich II Fall Risk Model is potentially useful in identifying patients at high risk for falls in acute care facilities.
本文是一项研究报告,旨在评估三种跌倒风险评估工具用于识别跌倒高危患者的有效性。
患者跌倒占医院环境中所有不良事件的38%,可能导致身体损伤以及不良的情感和经济后果。尚无单一的跌倒风险评估工具得到最终验证。
2003年在评估者间信度和效度研究中对莫尔斯跌倒量表、老年住院患者跌倒的圣托马斯风险评估工具和亨德里克二世跌倒风险模型进行了验证。这包括评估评估工具不一致的概率、kappa值、敏感性、特异性、阳性预测值和阴性预测值以及相关的95%置信区间。
144名患者被纳入评估者间信度研究。不一致的概率在2.8%至9.7%之间,所有工具的95%置信区间在1.1%至15.7%之间。kappa值均高于0.80。在效度研究中,招募了5489名患者以观察60次跌倒。莫尔斯跌倒量表截断分数为25时和亨德里克二世跌倒风险模型截断分数为5时分别具有较高的敏感性值,分别为88%和70%。然而,与莫尔斯跌倒量表(特异性=48.3%)相比,只有亨德里克二世跌倒风险模型具有更可接受的特异性水平(61.5%)。
亨德里克二世跌倒风险模型在识别急性护理机构中跌倒高危患者方面可能有用。