Literature DB >> 31686388

Prevalence and associations of frailty in residents of Australian aged care facilities: findings from a retrospective cohort study.

R C Ambagtsheer1,2, J Beilby3,4, C Seiboth5, E Dent3,6,5.   

Abstract

OBJECTIVES: Studies conducted among older people have shown that frailty is a common condition associated with an array of adverse outcomes. The aims of this study were to identify the prevalence and associations of frailty in older people residing in several aged care facilities located in Queensland, Australia.
METHODS: The database used for this study was drawn from the Aged Care Funding Instrument (ACFI) database of an Australian aged care provider, and contained data from ten aged care facilities in Queensland, Australia. A modification of an eFI originally developed by Clegg and colleagues and based on Rockwood's Frailty Index (FI) of cumulative deficits was used to identify frailty.
RESULTS: In total, 592 participants aged 75 years and over were included in the study (66.6% female). Median (IQR) age was 88.0 (9.0) years. Frailty prevalence among the sample was 43.6%, with 46.3% pre-frail and 10.1% not frail. In a multivariate logistic regression analysis incorporating three different models, frailty was significantly associated with three ACFI domains (Nutrition, Depression and Complex Health Care), along with facility size, consistently across two models. In the third model, frailty was also significantly associated with arthritis, diabetes, hypertension, osteoporosis and vision problems, along with male gender.
CONCLUSION: There is a need to develop frailty identification and management programs as part of standard care pathways for older adults residing in aged care facilities. Aged care facilities should consider regular frailty screening in residential aged care residents, along with interventions addressing specific issues such as dysphagia and depression.

Entities:  

Keywords:  Frailty; Geriatric assessment; Residential facilities

Mesh:

Year:  2019        PMID: 31686388     DOI: 10.1007/s40520-019-01379-0

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  4 in total

1.  Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative Study.

Authors:  John Oates; Niusha Shafiabady; Rachel Ambagtsheer; Justin Beilby; Chris Seiboth; Elsa Dent
Journal:  JMIR Aging       Date:  2022-10-07

2.  Association between Dysphagia and Frailty in Older Adults: A Systematic Review and Meta-Analysis.

Authors:  Ru-Yung Yang; An-Yun Yang; Yong-Chen Chen; Shyh-Dye Lee; Shao-Huai Lee; Jeng-Wen Chen
Journal:  Nutrients       Date:  2022-04-27       Impact factor: 6.706

3.  The Frailty In Residential Sector over Time (FIRST) study: methods and baseline cohort description.

Authors:  Agathe Daria Jadczak; Leonie Robson; Tina Cooper; J Simon Bell; Renuka Visvanathan
Journal:  BMC Geriatr       Date:  2021-02-03       Impact factor: 3.921

4.  How frail is frail? A systematic scoping review and synthesis of high impact studies.

Authors:  E H Gordon; N Reid; I S Khetani; R E Hubbard
Journal:  BMC Geriatr       Date:  2021-12-18       Impact factor: 3.921

  4 in total

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