Public sector residential aged care: identifying novel associations between quality indicators and other demographic and health-related factors

Moore, Kirsten J., Doyle, Colleen J., Dunning, Trisha L., Hague, Ann T., Lloyd, Lucas A., Bourke, Jo and Gill, Stephen D. 2014, Public sector residential aged care: identifying novel associations between quality indicators and other demographic and health-related factors, Australian health review, vol. 38, no. 3, pp. 325-331, doi: 10.1071/AH13184.

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Title Public sector residential aged care: identifying novel associations between quality indicators and other demographic and health-related factors
Author(s) Moore, Kirsten J.
Doyle, Colleen J.
Dunning, Trisha L.ORCID iD for Dunning, Trisha L. orcid.org/0000-0002-0284-1706
Hague, Ann T.
Lloyd, Lucas A.
Bourke, Jo
Gill, Stephen D.
Journal name Australian health review
Volume number 38
Issue number 3
Start page 325
End page 331
Total pages 7
Publisher CSIRO
Place of publication Melbourne, Vic.
Publication date 2014
ISSN 0156-5788
1449-8944
Keyword(s) public sector
residential aged care
quality indicators
demographics
health-related factors
Summary Objective : To explore associations among quality indicators (QI; e.g. pressure ulcers, falls and/or fractures, physical restraint, use of multiple medications, unplanned weight loss) of the Victorian Public Sector Residential Aged Care Services (VPSRACS) with other demographic and health-related factors.

Methods : Data for 380 residents over a 3-month period were extracted retrospectively from client databases at four VPSRAC facilities.

Results : Four significant logistic regression models were developed. The strongest models related to falls and polypharmacy. Significant associations for these models included the following: (1) residents with a higher body mass index were 6% less likely (95% confidence interval (CI) 1%–11%) to fall, whereas high levels of cognitive impairment increased the risk of falling by 8% (95% CI 2%–14%); (2) being ambulant with a gait aid more than doubled the risk of falling compared with non-ambulant residents (95% CI 19%–546%); and (3) higher cognitive impairment was associated with a 6% (95% CI 1%–11%) reduction in the likelihood of polypharmacy.

Conclusions :
Identification of significant relationships between the VPSRACS QI and other demographic and health-related factors is a preliminary step towards a more in-depth understanding of the factors that influence the QI and predict adverse events.
Language eng
DOI 10.1071/AH13184
Field of Research 111702 Aged Health Care
Socio Economic Objective 920502 Health Related to Ageing
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2014, CSIRO Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30063722

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