Literature DB >> 33555222

Frailty assessment of older adults, first-time applicants of public home care service in Norway.

Ingerid Laukli1,2, Leiv Sandvik1, Heidi Ormstad1,3.   

Abstract

OBJECTIVE: Early detection of frailty is essential to prevent or delay disability. The most appropriate screening tool for frailty among home-dwelling older adults is under debate. The present study estimates the prevalence of frailty among older adults, first-time applicants of public home care service in Norway, and investigates the appropriateness of gait speed and Short Physical Performance Battery as screening-tools for frailty. DESIGN AND
SETTING: We conducted a cross-sectional study of 116 older adults >65 years applying for public home care service for the first time. Frailty was assessed by an adapted version of the Fried Frailty Phenotype. The test accuracies of gait speed and Short Physical Performance Battery to detect frailty were calculated for a general population >70 years in Norway.
RESULTS: 62.1% of the participants were frail, 29.3% were prefrail, and 8.6% were robust. Mean gait speed and Short Physical Performance Battery-scores were significantly lower in frail compared to prefrail individuals, and significantly lower in prefrail compared to robust individuals. The sensitivity and specificity of gait speed at a cut point of 0.8 m/s to detect physical frailty phenotype was 99% and 68%, respectively.
CONCLUSIONS: The high prevalence of frailty in the present study indicates that screening for frailty should be considered at an earlier time point than when older adults apply for public home care service for the first time. Gait speed may be an appropriate screening tool for frailty in a general population >70 years in Norway.KEY POINTSThe prevalence of frailty among older adults, first-time applicants of public home care services in Norway is major.Screening for frailty should be considered before older adults apply for public home care service for the first time.Gait speed at a cut point at 0.8 m/s may be an appropriate screening tool for frailty in a general population >70 years in Norway.

Entities:  

Keywords:  Frailty; physical functional performance; primary health care; screening; walking speed

Mesh:

Year:  2021        PMID: 33555222      PMCID: PMC7971257          DOI: 10.1080/02813432.2021.1880069

Source DB:  PubMed          Journal:  Scand J Prim Health Care        ISSN: 0281-3432            Impact factor:   2.581


  24 in total

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Journal:  J Am Med Dir Assoc       Date:  2016-12-31       Impact factor: 4.669

2.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

3.  Commonly Used Screening Instruments to Identify Frailty Among Community-Dwelling Older People in a General Practice (Primary Care) Setting: A Study of Diagnostic Test Accuracy.

Authors:  Rachel C Ambagtsheer; Renuka Visvanathan; Elsa Dent; Solomon Yu; Timothy J Schultz; Justin Beilby
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-05-22       Impact factor: 6.053

Review 4.  Walking speed: the functional vital sign.

Authors:  Addie Middleton; Stacy L Fritz; Michelle Lusardi
Journal:  J Aging Phys Act       Date:  2014-05-02       Impact factor: 1.961

Review 5.  Prevalence of frailty in community-dwelling older persons: a systematic review.

Authors:  Rose M Collard; Han Boter; Robert A Schoevers; Richard C Oude Voshaar
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7.  Frailty consensus: a call to action.

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Review 8.  Association between frailty and quality of life among community-dwelling older people: a systematic review and meta-analysis.

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9.  "Reliability of the Norwegian version of the short physical performance battery in older people with and without dementia".

Authors:  Cecilie Fromholt Olsen; Astrid Bergland
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Review 10.  Prevalence of frailty and prefrailty among community-dwelling older adults in low-income and middle-income countries: a systematic review and meta-analysis.

Authors:  Dhammika D Siriwardhana; Sarah Hardoon; Greta Rait; Manuj C Weerasinghe; Kate R Walters
Journal:  BMJ Open       Date:  2018-03-01       Impact factor: 2.692

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