The comprehensive frailty assessment instrument: Development, validity and reliability

Witte, Nico De; Gobbens, Robbert; Donder, Liesbeth De; Dury, Sarah; Buffel, Tine; Schols, Jos M. G. A.; Verté, Dominique

doi:10.1016/j.gerinurse.2013.03.002

Cited by 102 publications

(114 citation statements)

References 34 publications

Supporting

Mentioning

102

Contrasting

Unclassified

Order By: Relevance

“…A testeretest reliability coefficient above 0.75 is considered satisfactory. 17 The split-half reliability of the total scale was 0.808, which was acceptable. The results showed that the scale was stable.…”

Section: Discussionmentioning

confidence: 87%

See 1 more Smart Citation

Development of a frailty scale for elderly people in China

Zhang¹,

Yang²,

Zhang³

et al. 2017

Chinese Nursing Research

View full text Add to dashboard Cite

a b s t r a c tObjective: The aim of this study was to develop a frailty scale for the elderly in China and to examine its reliability and validity. Methods: The method of convenient sampling was used to select 375 elderly individuals in different communities of Tianjin, China. EuroQol-5D was used to evaluate the criterion validity. Cronbach's a coefficients, correlation analysis, exploratory factor analysis, criterion-related validity, and internal consistency were used to evaluate the reliability and validity of the scale. To evaluate the testeretest reliability, 30 old people were re-evaluated after 2 weeks. Results: The final version of the frailty scale (FI-35) consisted of 35 items. Eleven factors were extracted by a principal factor analysis and varimax rotation, with a cumulative contribution of 86.00%. Eleven dimensions were positively correlated (r ¼ 0.130e0.541, P < 0.01). Cronbach's a coefficient was 0.952, and the alpha coefficients of 11 dimensions ranged from 0.730 to 0.992. The testeretest reliability was 0.874 for the total scale. The split-half reliability of the scale was 0.808. Structural equation modeling was used to perform a confirmatory factor analysis, and various parameters were all acceptable. Conclusions: FI-35 met the requirement of scale development and showed good reliability and validity; thus, it can be used as an efficient frailty measurement tool for Chinese elderly.

show abstract

Section: Discussionmentioning

confidence: 87%

“…These variables potentially influence the frailty of the elderly. Based on the Gobbens frailty theory model, 20 a panel discussion and existing elder frailty appraisal tools, 14,15,17,21 we selected 81 items. The answers "yes" and "no" were used to evaluate the items (0 ¼ yes, 1 ¼ no).…”

Section: Scale Designmentioning

confidence: 99%

Development of a frailty scale for elderly people in China

Zhang¹,

Yang²,

Zhang³

et al. 2017

Chinese Nursing Research

View full text Add to dashboard Cite

show abstract

“…Based on the items available in the Hong Kong Centenarian Study assessment package, as well as the model of De Witte et al, 19 we added 12 new items that evaluated deficits in the psychological, social/family, environmental, and economic domains to the 32-itemed FI-32 to create the CMF (with 44 items). De Witte et al 19 (2013) had demonstrated the incremental validity of psychological, social/family, and environmental domains to a comprehensive frailty assessment.…”

Section: Cmfmentioning

confidence: 99%

“…Financial security, which is measured in the economic domain, is often perceived as an important resource for successful aging especially by Hong Kong Chinese elders. 20e22 This domain was, therefore, included on top of De Witte et al's 19 domains to comprehensively capture Hong Kong Chinese elders' systemic vulnerabilities to stressors. All the 12 new items carried the same weight.…”

Section: Cmfmentioning

confidence: 99%

Toward a Comprehensive Model of Frailty: An Emerging Concept From the Hong Kong Centenarian Study

Kwan

Lau

Cheung

2015

Journal of the American Medical Directors Association

View full text Add to dashboard Cite

“…There is evidence for a broader biopsychosocial (175,193,194) approach to frailty, with some association with adverse events, such as long length of stay and readmission to hospital. However, how to measure these psychosocial elements, and the degree of effect these elements have on outcomes is not clear, particularly in the acute context.…”

Section: Predictor Variablesmentioning

confidence: 99%

Frailty Assessment in Acute Care

2015

The Gerontologist

View full text Add to dashboard Cite

IntroductionFor some people, ageing is associated with the experience of increased co-morbidity, functional impairment, poor resilience and heightened vulnerability to external stressors, resulting in reduced lifespan as well as health-span. This frailty phenomenon poses challenges to health care systems in the form of increased patient complexity and resource utilisation. The acute care setting, characterised by time-pressure and high patient turn-over, is under strain and struggles to recognise and subsequently reliably intervene, to prevent, reverse or halt the decline of this vulnerable cohort. MethodsThis mixed-methods study probes existing evidence and 'real-world' processes with a systematic review of frailty assessments developed or validated in the acute care setting and a survey of contemporaneous clinical practice in London Acute Medical Units. Content validation and understanding of contextual factors for ideal frailty assessment in acute care is explored using Delphi consensus and Focus Group methodology respectively. The resultant model is developed on existing retrospective national Hospital Episode Statistics data, and prospectively tested on observational data in a local Acute Medical Unit setting. ResultsExisting frailty scores are preponderantly biophysical in nature, and have poor predictive power for adverse outcomes in the acute care setting. In clinical practice, single-dimension assessment tools predominate. Frailty syndromes and previous high resource utilisation in the form of a simple, clinically relevant tool useful to the multidisciplinary team gain consensus as optimal assessment for the setting. Retrospective testing of the frailty model displays moderate predictive powers for adverse events (inpatient mortality, emergency readmission and institutionalisation) and prospective testing provides concurrent (Frailty Index, Age, Co-Morbidity) and comparative predictive validity (Frailty Index, Co-Morbidity, 2 admission National Early Warning Score) with existing risk stratification models in this setting. ConclusionsA risk prediction model based on frailty syndromes and previous high resource utilisation is a valid, feasible and useful for the acute care setting.

show abstract

The comprehensive frailty assessment instrument: Development, validity and reliability

Cited by 102 publications

References 34 publications

Development of a frailty scale for elderly people in China

Development of a frailty scale for elderly people in China

Toward a Comprehensive Model of Frailty: An Emerging Concept From the Hong Kong Centenarian Study

Frailty Assessment in Acute Care

Contact Info

Product

Resources

About