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Towards a more effective strategy to detect community-dwelling frail older adults: validation of risk factors
- Source :
- International Journal of Health Governance, International Journal of Health Governance, 26(3), 237-249. Emerald Group Publishing Ltd.
- Publication Year :
- 2021
-
Abstract
- PurposeIn the context of early detection of frail older people, prior research found several risk factors of multidimensional frailty. The current study aims to validate these risk factors.Design/methodology/approachTwo data sets, Belgian Ageing Studies and Detection, Support and Care for older people: Prevention and Empowerment (BAS and D-SCOPE), in three Belgian municipalities (Ghent, Knokke-Heist and Thienen) were used and compared. The BAS data set (N = 1496) is a representative sample of community-dwelling older adults (60+), while the recruitment of the D-SCOPE sample (validation sample, N = 869) is based on risk factors (e.g. age, marital status, moved in the past 10 years). Frailty was measured with the comprehensive frailty assessment instrument (CFAI). The validity was examined by means of prevalence rates, distribution and the odds rates within both data sets.FindingsThe validation sample had an increase in the percentage of elderly who were mildly and highly frail for physical frailty (men: +17.0 percent point, women: +20.7 percent point), for psychological frailty (men: +13.4 percent point, women: +13.7 percent point), for social frailty (men: +24.8 percent point, women: +4.8 percent point) and environmental frailty (men: +24.2 percent point, women: +6.8 percent point). The present results indicate that the risk of being mildly or highly frail was higher in the validation sample in comparison with the BAS data.Originality/valueThe present study proved the validity of aforementioned risk factors. Selecting older people based on these risk factors proved to be an effective strategy for detecting frail older people.
- Subjects :
- Gerontology
Frail Older Adults
Prevalence
Early detection
Context (language use)
Sample (statistics)
DETERMINANTS
Odds
Validity
03 medical and health sciences
0302 clinical medicine
PEOPLE
Medicine
030212 general & internal medicine
MIGRANTS
GENDER-DIFFERENCES
Frailty
business.industry
Health Policy
DISABILITY
INTERDISCIPLINARY INTERVENTION
MULTIFACTORIAL
PROFILES
Frailty assessment
Detection
Risk factors
Older adults
Business, Management and Accounting (miscellaneous)
Marital status
Human medicine
HEALTH
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20594631
- Volume :
- 26
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- International Journal of Health Governance
- Accession number :
- edsair.doi.dedup.....e6d356d7f332e10278cd6c197c24b24e