The development and testing of a skin tear risk assessment tool
MetadataShow full item record
The aim of the present study is to develop a reliable and valid skin tear risk assessment tool. The six characteristics identified in a previous case control study as constituting the best risk model for skin tear development were used to construct a risk assessment tool. The ability of the tool to predict skin tear development was then tested in a prospective study. Between August 2012 and September 2013, 1466 tertiary hospital patients were assessed at admission and followed up for 10 days to see if they developed a skin tear. The predictive validity of the tool was assessed using receiver operating characteristic (ROC) analysis. When the tool was found not to have performed as well as hoped, secondary analyses were performed to determine whether a potentially better performing risk model could be identified. The tool was found to have high sensitivity but low specificity and therefore have inadequate predictive validity. Secondary analysis of the combined data from this and the previous case control study identified an alternative better performing risk model. The tool developed and tested in this study was found to have inadequate predictive validity. The predictive validity of an alternative, more parsimonious model now needs to be tested.
Showing items related by title, author, creator and subject.
Identification of risk factors associated with the development of skin tears in hospitalised older persons: A case-control studyLewin, Gill; Newall, Nelly; Alan, Janine; Carville, Kerilyn; Santamaria, Nick; Roberts, Pam (2015)To identify the risk factors associated with the development of skin tears in older persons four hundred and fifty three patients (151 cases and 302 controls) were enrolled in a case-control study in a 500-bed metropolitan ...
Rayner, R.; Carville, K.; Leslie, Gavin; Dhaliwal, S. (2018)© 2018 Medicalhelplines.com Inc and John Wiley & Sons Ltd The objective of this study was to construct a predictive model to identify aged care residents at risk of future skin tears. Extensive data about individual ...
Modelling pile capacity and load-settlement behaviour of piles embedded in sand & mixed soils using artificial intelligenceAlkroosh, Iyad Salim Jabor (2011)This thesis presents the development of numerical models which are intended to be used to predict the bearing capacity and the load-settlement behaviour of pile foundations embedded in sand and mixed soils. Two artificial ...