Skin Tear Prediction in the Elderly: A Cohort Study
| dc.contributor.author | Rayner, Robyn Louise | |
| dc.contributor.supervisor | Dr Keryln Carville | en_US |
| dc.date.accessioned | 2018-02-23T08:06:56Z | |
| dc.date.available | 2018-02-23T08:06:56Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/65989 | |
| dc.description.abstract |
Skin tears are common wounds found amongst older adults. A 6-month cohort study was conducted to investigate the reliability of non-invasive technologies to objectively quantify ageing skin properties, and to examine risk factors associated with 6-months incidents of skin tears, in an aged care population. Multivariable analysis developed a skin tear model with a receiver operator characteristic curve indicating the model provided very good discrimination for correctly classifying participants with and without skin tears. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Skin Tear Prediction in the Elderly: A Cohort Study | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Nursing, Midwifery and Paramedicine | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Health Sciences | en_US |