Developing and validating the Community-Oriented Frailty Index (COM-FI)

被引:7
作者
Garner, Ian W. [1 ]
Burgess, Adrian P. [1 ,2 ]
Holland, Carol A. [3 ]
机构
[1] Aston Univ, Aston Res Ctr Hlth Ageing, Birmingham B4 7ET, W Midlands, England
[2] Aston Univ, Dept Psychol, Birmingham B4 7ET, W Midlands, England
[3] Univ Lancaster, Ctr Ageing Res, Div Hlth Res, Lancaster LA1 4YG, England
关键词
Frailty Index; Community; COM-FI; Validation; Predicting social care; METABOLIC DISEASE; OLDER-ADULTS; DEFINITION; MORTALITY; FITNESS; HEALTH; WOMEN;
D O I
10.1016/j.archger.2020.104232
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
Introduction: Methods for measuring frailty over-emphasise physical health, and consensus for a more holistic approach is increasing. However, holistic tools have had mixed success in meeting the validation criteria required of a frailty index. We report on the further development and validation of a Frailty Tool designed for use in the community with a greater emphasis on psychological markers, Holland et al's Community-Oriented Frailty Index (COM-FI). Method: A total of 351 participants aged 58-96 were recruited from Retirement Villages and local communities across the West Midlands of the UK. Participants completed a series of measures designed to assess frailty and outcomes associated with frailty over a 2-year period. Results: All three candidate items ('polypharmacy', 'exercise frequency', and the Coronary Heart Disease and Diabetes joint effect') were incorporated into the tool, and one variable, 'falls' was removed from the index. The revised COM-FI was shown to be valid and met Rockwood's validation criteria (Rockwood et al., 2006), with the exception that in this specific sample there was no significant gender difference and the index did not predict mortality. Discussion: Overall, the COM-FI is a valid and reliable tool, although the capacity for the COM-FI to predict mortality over a 2-year period remains inconclusive given the small numbers of people at the higher ends of the frailty range. Prediction of need for social care was good, showing the utility of this community based tool.
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页数:8
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