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BMC Public Health. 2019 May 3;19(1):504. doi: 10.1186/s12889-019-6876-0.

Identification of community-dwelling older adults at risk of frailty using the PERSSILAA screening pathway: a methodological guide and results of a large-scale deployment in the Netherlands.

Author information

1
Roessingh Research and Development, Roessinghsbleekweg 33b, 7522, AL, Enschede, The Netherlands. s.jansen@rrd.nl.
2
University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science, Telemedicine group, Enschede, the Netherlands. s.jansen@rrd.nl.
3
Roessingh Research and Development, Roessinghsbleekweg 33b, 7522, AL, Enschede, The Netherlands.
4
University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science, Telemedicine group, Enschede, the Netherlands.
5
Centre for Gerontology and Rehabilitation, University College Cork, Cork City, Ireland.
6
Clinical Sciences Institute, National University of Ireland Galway, Galway City, Ireland.
7
ZiekenhuisGroep Twente (ZGT), scientific office ZGT academie, Almelo, the Netherlands.

Abstract

BACKGROUND:

Among community-dwelling older adults, frailty is highly prevalent and recognized as a major public health concern. To prevent frailty it is important to identify those at risk of becoming frail, but at present, no accepted screening procedure is available.

METHODS:

The screening process developed as part of the PERSSILAA project is a two-step screening pathway. First, older adults are asked to complete a self-screening questionnaire to assess their general health status and their level of decline on physical, cognitive and nutritional domains. Second, older adults who, according to step one, are at risk of becoming frail, are invited for a face-to-face assessment focusing on the domains in depth. We deployed the PERSSILAA screening procedure in primary care in the Netherlands.

RESULTS:

In total, baseline data were available for 3777 community-dwelling older adults (mean age 69.9 (SD ± 3.8)) who completed first step screening. Based on predefined cut-off scores, 16.8% of the sample were classified as frail (n = 634), 20.6% as pre-frail (n = 777), and 62.3% as robust (n = 2353). Frail subjects were referred back to their GP without going through the second step. Of the pre-frail older adults, 69.7% had evidence of functional decline on the physical domain, 67% were overweight or obese and 31.0% had evidence of cognitive decline.

CONCLUSION:

Pre-frailty is common among community-dwelling older adults. The PERSSILAA screening approach is a multi-factor, two-step screening process, potentially useful for primary prevention to identify those at risk of frailty and who will benefit most from preventive strategies.

KEYWORDS:

Frail; Older adults; Outcome; Pre-frail; Primary prevention; Screening

PMID:
31053090
PMCID:
PMC6500037
DOI:
10.1186/s12889-019-6876-0
[Indexed for MEDLINE]
Free PMC Article

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