Literature DB >> 26255709

Prevalence of Frailty in Nursing Homes: A Systematic Review and Meta-Analysis.

Gotaro Kojima1.   

Abstract

BACKGROUND: Nursing home patients are expected to be very frail. However, evidence on frailty in a nursing home setting is scarce in the literature. Especially prevalence of frailty in this population is unknown.
OBJECTIVE: To systematically search and analyze the prevalence of frailty among nursing home patients in the literature and synthesize pooled estimates of overall prevalence of frailty and prefrailty as well as prevalence of frailty stratified by age, gender, and frailty definitions.
DESIGN: Systematic review using 5 databases: Embase, MEDLINE, CINAHL Plus, PsycINFO, and Cochrane library, and meta-analysis.
SETTING: Cross-sectional studies or observational studies with baseline data in a nursing home setting. PARTICIPANTS: Nursing home patients aged 60 years or older. MEASUREMENTS: Prevalence of frailty and prefrailty based on validated criteria or definitions of frailty was collected. In the included studies, meta-analysis was performed using random-effects models to calculate pooled estimates of prevalence of frailty and prefrailty. Methodological quality, heterogeneity, and publication bias were assessed.
RESULTS: Nine studies with a total of 1373 nursing home patients were found to report prevalence of frailty. The included studies were highly heterogeneous and mean prevalence of frailty ranged widely from 19.0 to 75.6%. Pooled estimates of prevalence of frailty and prefrailty were 52.3% (95% confidence interval 37.9%-66.5%) (9 studies, n = 1373) and 40.2% (28.9%-52.1%) (7 studies, n = 1163), respectively.
CONCLUSIONS: As high as about one-half of the nursing home patients were frail. Approximately 40% were still prefrail and could be targeted by interventions for frailty prevention or treatment to avoid its negative health outcomes.
Copyright © 2015 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Frailty; long-term care; nursing homes; prevalence

Mesh:

Year:  2015        PMID: 26255709     DOI: 10.1016/j.jamda.2015.06.025

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  105 in total

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Review 2.  Risk of cardiovascular disease morbidity and mortality in frail and pre-frail older adults: Results from a meta-analysis and exploratory meta-regression analysis.

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3.  Assessing Frailty in Chinese Nursing Home Older Adults: A Comparison between the Frail-NH Scale and Frailty Index.

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4.  Angiotensin-Converting Enzyme Inhibitor Use and Incident Frailty: A Longitudinal Cohort Study.

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5.  Prevalence and Risk Factors for Frailty among Community-Dwelling Older People in China: A Systematic Review and Meta-Analysis.

Authors:  B He; Y Ma; C Wang; M Jiang; C Geng; X Chang; B Ma; L Han
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Review 6.  Prescribing for frail older people.

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7.  Comparing Diagnostic Properties of the FRAIL-NH Scale and 4 Frailty Screening Instruments among Chinese Institutionalized Older Adults.

Authors:  H Si; Y Jin; X Qiao; X Tian; X Liu; C Wang
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8.  Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes.

Authors:  Joshua D Niznik; Jacob N Hunnicutt; Xinhua Zhao; Maria K Mor; Florentina Sileanu; Sherrie L Aspinall; Sydney P Springer; Mary J Ersek; Walid F Gellad; Loren J Schleiden; Joseph T Hanlon; Joshua M Thorpe; Carolyn T Thorpe
Journal:  J Am Geriatr Soc       Date:  2020-02-17       Impact factor: 5.562

9.  STOPPFrail (Screening Tool of Older Persons' Prescriptions in Frail adults with a limited life expectancy) criteria: application to a representative population awaiting long-term nursing care.

Authors:  Amanda Hanora Lavan; Denis O'Mahony; Paul Gallagher
Journal:  Eur J Clin Pharmacol       Date:  2019-01-26       Impact factor: 2.953

10.  Relationship between frailty, polypharmacy, and underprescription in older adults living in nursing homes.

Authors:  Marta Gutiérrez-Valencia; Mikel Izquierdo; Esther Lacalle-Fabo; Itxaso Marín-Epelde; María Fernanda Ramón-Espinoza; Thamara Domene-Domene; Álvaro Casas-Herrero; Arkaitz Galbete; Nicolás Martínez-Velilla
Journal:  Eur J Clin Pharmacol       Date:  2018-03-27       Impact factor: 2.953

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