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Validity of the Falls Risk for Older People in the Community (FROP-Com) tool to predict falls and fall injuries for older people presenting to the emergency department after falling

机译:社区(FROP-COM)工具中老年人的危险的有效性预测,在跌落后向急诊部门的老年人跌倒和伤害

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The aims of this study were to (1) externally validate the accuracy of the Falls Risk for Older People in the Community (FROP-Com) falls risk assessment tool in predicting falls and (2) undertake initial validation of the accuracy of the FROP-Com to predict injurious falls (requiring medical attention) in people aged >= 60 years presenting to emergency departments (EDs) after falling. Two hundred and thirteen participants (mean age = 72.4 years; 59.2% women) were recruited (control group of a randomised controlled trial). A FROP-Com assessment was completed at a home visit within 2 weeks of ED discharge. Data on falls and injurious falls requiring medical attention were collected via monthly falls calendars for the next 12 months. Predictive accuracy was evaluated using sensitivity and specificity of a high-risk FROP-Com classification (score >= 19) in predicting a fall and injurious falls requiring medical attention. Fifty per cent of participants fell, with 60.4% of falls requiring medical attention. Thirty-two per cent were classified as high, 49% as moderate and 19% low falls risk. Low sensitivity was achieved for the FROP-Com high-risk classification for predicting falls (43.4%) and injurious falls (34.4%), although specificity was high (79.4% and 78.6%, respectively). Despite the FROP-Com's low predictive accuracy, the high fall rate and high falls risk of the sample suggest that older people who fall, present to ED and are discharged home are at high risk of future falls. In high-falls-risk populations such as in this study, the FROP-Com is not a valid tool for classifying risk of falls or injurious falls. Its potential value may instead be in identifying risk factors for falling to direct tailoring of falls prevention interventions to reduce future falls.
机译:本研究的目标是(1)外部验证社区中老年人跌倒风险的准确性(From-Com)跌倒风险评估工具在预测下降和(2)初始验证From的准确性 - 在跌倒后预测人们患者= 60岁的人口(需要医疗注意)的伤害跌倒(需要医疗注意力)。招聘了两百三十名参与者(平均年龄= 72.4岁; 59.2%的妇女)被招募(对照组随机对照试验)。 FROP-COM评估在ED放电后2周内在家访中完成。在未来12个月内通过每月跌倒日历收集需要医疗注意力的跌落和有害跌倒数据。使用高风险From-Com分类(得分> = 19)的敏感性和特异性评估预测准确度在预测需要医疗注意力的秋季和有害的跌倒时。 50%的参与者下跌,占跌势的60.4%需要医疗。 32%的人被归类为高,49%,中等,低19%的风险。对于预测跌倒(43.4%)和有害跌落(34.4%),虽然特异性高(分别为79.4%和78.6%),实现了低灵敏度。尽管From-Com的预测准确性低,但样本的高跌率率和高落下的风险表明,落下的老年人落在艾德并被排放的家庭均处于未来的风险。在诸如本研究中的高瀑布风险群体中,FROP-COM不是分类瀑布或有害跌倒风险的有效工具。它的潜在价值可以识别跌倒以直接裁缝的危险因素来减少未来瀑布。

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