Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Louise I. R. Castillo"'
Autor:
Louise I R Castillo, Vivian Tran, Mary Brachaniec, Christine T Chambers, Kelly Chessie, Alec Couros, Andre LeRuyet, Charmayne LeRuyet, Lilian Thorpe, Jaime Williams, Sara Wheelwright, Thomas Hadjistavropoulos
Publikováno v:
JMIR Aging, Vol 7, p e53025 (2024)
BackgroundSocial media platforms have been effective in raising awareness of the underassessment and undertreatment of pain in dementia. ObjectiveAfter a successful pilot campaign, we aimed to scale our pain-in-dementia knowledge mobilization pilot
Externí odkaz:
https://doaj.org/article/1f54a1ba25f4417e862cfc0190b97acd
Publikováno v:
Aging & Mental Health. :1-10
Autor:
Delaine A Shackleton, Louise I R Castillo, Amy J D Hampton, Andrei Volodin, Thomas Hadjistavropoulos
Publikováno v:
The Journals of Gerontology: Series B.
Objectives According to a widely cited assertion, older adults are less likely than younger individuals to express pain complaints. Age-related differences in pain responses have been discussed in the literature despite a paucity of research involvin
Publikováno v:
PLOS ONE. 18:e0281364
Unhelpful beliefs about sleep have been shown to exacerbate distress associated with sleep-related difficulties. University students are particularly vulnerable to experiencing sleep-related problems. The Dysfunctional Beliefs and Attitudes about Sle
Publikováno v:
Pain Medicine: The Official Journal of the American Academy of Pain Medicine
Objectives Traditional knowledge dissemination methods have been ineffective in leading to timely and widespread changes in clinical practice. Social media have the potential to reach broader audiences than more traditional methods that disseminate r
Autor:
Thomas Hadjistavropoulos, Louise I R Castillo, Kenneth M. Prkachin, M. Erin Browne, Rafik Goubran
Publikováno v:
Journal of Rehabilitation and Assistive Technologies Engineering
Introduction Technological advances have allowed for the estimation of physiological indicators from video data. FaceReader™ is an automated facial analysis software that has been used widely in studies of facial expressions of emotion and was rece