Improving Pain Management amongst Patients with Dementia
dc.contributor.author | Atee, Mustafa | |
dc.contributor.supervisor | Leanne Chalmers | en_US |
dc.contributor.supervisor | Jeff Hughes | en_US |
dc.contributor.supervisor | Kreshnik Hoti | |
dc.contributor.supervisor | Richard Parsons | |
dc.date.accessioned | 2022-02-24T08:28:25Z | |
dc.date.available | 2022-02-24T08:28:25Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/87949 | |
dc.description.abstract |
This thesis developed, validated and implemented a multimodal, point-of-care pain assessment tool for people with moderate-to-severe dementia unable to self-report. PainChek® is a novel smart device-enabled application, which uses automated facial analysis to identify pain-relevant facial markers in conjunction with clinical pain behaviours to estimate pain intensity. PainChek® was shown to have sound psychometric and clinimetric properties. Clinical implementation demonstrated a significant advance in pain assessment, allowing optimal pain management for this population. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Improving Pain Management amongst Patients with Dementia | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Curtin Medical School | en_US |
curtin.accessStatus | Fulltext not available | en_US |
curtin.faculty | Health Sciences | en_US |
curtin.contributor.orcid | Atee, Mustafa [0000-0002-0837-3245] | en_US |
dc.date.embargoEnd | 2027-02-23 |