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A Simple Resident Need-for-Physical-Assistance Scale in Eldercare

Validation Using 4716 Observation Sequences of Caring Activities

Bibliographic Data

ID15510065
AuthorsSandra Schade Jacobsen (0000-0001-6927-4382, National Research Centre for the Working Environment, corresponding author), Matthew L Stevens (0000-0002-2621-4811, National Research Centre for the Working Environment), Kristina Karstad (0000-0001-5777-3600, National Research Centre for the Working Environment), Charlotte Diana Nørregaard Rasmussen (0000-0002-1769-717X, National Research Centre for the Working Environment), Alexander Bork Kühnel (National Research Centre for the Working Environment), Andreas Holtermann (0000-0003-4825-5697, National Research Centre for the Working Environment)
Year2022
Volume19
Issue17
Pages10488-10488
Publication date2022-08-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph191710488
PMID36078204
OpenAlexW4293030619
LanguageEN
References cited25

Accurate and simple measures for classifying nursing home residents according to their care needs would be valuable for planning eldercare work. Our aim was to validate a developed classification scale of residents' need for physical assistance. Eldercare workers and managers in 20 Danish nursing homes classified 1456 residents into four categories (from light to complete need for physical assistance). We validated the resident need-for-assistance scale against 4716 workplace observation sequences of caring activities performed by eldercare workers. We found a strong correlation between the resident need-for-assistance scale and observed number of resident handlings ( r = 0.71) and a moderate correlation for observed duration of care ( r = 0.57). The discriminative ability of the scale was good for both number of resident handlings (ROC-AUC = 0.81) and for duration of care (ROC-AUC = 0.76). Our findings indicate that this simple scale is valid and feasible for classifying residents according to their physical assistance needs

Discriminative model · Duration (music · Machine learning · Scale (ratio · Computer Science · Geriatric Care and Nursing Homes · Medicine · Musculoskeletal pain and rehabilitation · Nursing · Psychology · Workplace Health and Well-being · Gerontology

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