The reliability and predictive accuracy of the falls risk for older people in the community assessment (FROP-Com) tool

被引:133
|
作者
Russell, Melissa A. [1 ,3 ]
Hill, Keith D. [1 ,4 ,5 ]
Blackberry, Irene [1 ]
Day, Lesley M. [2 ]
Dharmage, Shyamali C. [3 ]
机构
[1] Natl Ageing Res Inst, Parkville, Vic 3052, Australia
[2] Monash Univ, Accident Res Ctr, Clayton, Vic 3800, Australia
[3] Univ Melbourne, Sch Populat Hlth, Ctr Mol Environm Genet & Analyt Epidemiol, Melbourne, Vic 3010, Australia
[4] La Trobe Univ, Fac Hlth Sci, Bundoora, Vic 3083, Australia
[5] Northern Hlth, Bundoora, Vic 3083, Australia
关键词
D O I
10.1093/ageing/afn129
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: the Falls Risk for Older People in the Community assessment (FROP-Com) tool was designed for use in targeted multi-factorial falls prevention programmes. It fills the gap between the short screening tools and the longer assessment tools, e.g. the physiological profile assessment (PPA). The aim of this study was to determine the reliability and predictive accuracy of the FROP-Com. Methods: the intra-rater and inter-rater reliability studies were performed with 20 participants each. The prospective study was performed with 344 community-dwelling older people presenting to an emergency department after a fall and being discharged directly home. Following a home-based assessment, including the FROP-Com, Timed Up and Go (TUG) and functional Reach (FR), participants were monitored for falls for 12 months. Results: the intra-class correlation coefficient (ICC) for intra-rater reliability and inter-rater reliability for the FROP-Com was 0.93 (95% CI 0.84-0.97) and 0.81 (95% CI 0.59-0.92) respectively. The AUC for the FROP-Com was 0.68 (95% CI 0.63-0.74). At the cut-off 18/19, sensitivity was 71.3% (95% CI 64.4-78.3) and specificity was 56.1% (95% CI 48.9-63.4). The AUC for the TUG was 0.63 (95% CI 0.57-0.69) and for the FR was 0.60 (95% CI 0.54-0.66). Conclusion: the FROP-Com demonstrated good reliability and a moderate capacity to predict falls.
引用
收藏
页码:634 / 639
页数:6
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