Skin Tear Prediction in the Elderly: A Cohort Study
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 popu...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2017
|
| Online Access: | http://hdl.handle.net/20.500.11937/65989 |
| _version_ | 1848761236648361984 |
|---|---|
| author | Rayner, Robyn Louise |
| author_facet | Rayner, Robyn Louise |
| author_sort | Rayner, Robyn Louise |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:28:28Z |
| format | Thesis |
| id | curtin-20.500.11937-65989 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:28:28Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-659892018-02-23T08:06:56Z Skin Tear Prediction in the Elderly: A Cohort Study Rayner, Robyn Louise 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. 2017 Thesis http://hdl.handle.net/20.500.11937/65989 Curtin University fulltext |
| spellingShingle | Rayner, Robyn Louise Skin Tear Prediction in the Elderly: A Cohort Study |
| title | Skin Tear Prediction in the Elderly: A Cohort Study |
| title_full | Skin Tear Prediction in the Elderly: A Cohort Study |
| title_fullStr | Skin Tear Prediction in the Elderly: A Cohort Study |
| title_full_unstemmed | Skin Tear Prediction in the Elderly: A Cohort Study |
| title_short | Skin Tear Prediction in the Elderly: A Cohort Study |
| title_sort | skin tear prediction in the elderly: a cohort study |
| url | http://hdl.handle.net/20.500.11937/65989 |