首页> 外文期刊>The journals of gerontology.Series A. Biological sciences and medical sciences >Measuring fall risk and predicting who will fall: clinimetric properties of four fall risk assessment tools for residential aged care.
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Measuring fall risk and predicting who will fall: clinimetric properties of four fall risk assessment tools for residential aged care.

机译:测量跌倒风险并预测谁会跌倒:四种用于居家养老的跌倒风险评估工具的临床特性。

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BACKGROUND: The purpose of this prospective cohort study was to describe the clinimetric evaluation of four fall risk assessment tools (FRATs) recommended in best practice guidelines for use in residential aged care (RAC). METHODS: Eighty-seven residents, mean age 81.59 years (SD +/-10.69), participated. The Falls Assessment Risk and Management Tool (FARAM), Peninsula Health Fall Risk Assessment Tool (PHFRAT), Queensland Fall Risk Assessment Tool (QFRAT), and Melbourne Fall Risk Assessment Tool (MFRAT) were completed at baseline, and 2 and 4 months, and falls occurring in the 6 months after the baseline assessment were recorded. Interrater agreement (kappa), predictive accuracy (survival analysis and Youden Index), and fit to the Rasch model were examined. Twelve-month fall history formed the predictive accuracy reference. RESULTS: Interrater risk classification agreement was high for the PHFRAT (small ka, Cyrillic = .84) and FARAM (small ka, Cyrillic = .81), and low for the QFRAT (small ka, Cyrillic = .51) and MFRAT (small ka, Cyrillic = .21). Survival analysis identified that 43%-66% of risk factors on each tool had no (p > .10) association with falls. No tool had higher predictive accuracy (Youden index) than the question, "has the resident fallen in past 12 months?" (p > .05). All tools did not exhibit fit to the Rasch model, invalidating summing of risk factor scores to provide an overall risk score. CONCLUSION: The studied tools have poor clinimetric properties, casting doubt about their usefulness for identifying fall risk factors for those most at risk for falling and measuring fall risk in RAC.
机译:背景:这项前瞻性队列研究的目的是描述对最佳跌落风险评估工具(FRAT)的临床评估,该工具在最佳实践指南中建议用于住院老年护理(RAC)。方法:八十七名居民,平均年龄81.59岁(SD +/- 10.69),参加了调查。跌落评估风险和管理工具(FARAM),半岛健康跌落风险评估工具(PHFRAT),昆士兰州跌落风险评估工具(QFRAT)和墨尔本跌倒风险评估工具(MFRAT)分别在基准线,第2和第4个月完成,记录基线评估后6个月内发生的跌倒情况。评估了评估者之间的一致性(kappa),预测准确性(生存分析和Youden指数)以及是否适合Rasch模型。十二个月的跌倒历史形成了预测准确性参考。结果:对于PHFRAT(小ka,西里尔= 0.84)和FARAM(小ka,西里尔= 0.81),评估者间风险分类的一致性高,而QFRAT(小ka,西里尔= 0.51)和MFRAT(小)的风险评估者间风险分类一致性高。 ka,西里尔文= 0.21)。生存分析发现,每种工具上43%-66%的危险因素与跌倒没有关联(p> .10)。没有一种工具的预测准确性(Youden指数)比“居民在过去12个月中跌倒了吗?”这个问题要高。 (p> .05)。所有工具均不符合Rasch模型,使风险因子得分的总和无效,无法提供总体风险得分。结论:所研究的工具的斜度特性较差,令人怀疑它们在确定RAC跌倒风险最大的人的跌倒风险因素以及测量RAC跌倒风险方面是否有用。

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