S
Sally Bean
Researcher at University of Toronto
Publications - 31
Citations - 351
Sally Bean is an academic researcher from University of Toronto. The author has contributed to research in topics: Health care & Medicine. The author has an hindex of 8, co-authored 28 publications receiving 239 citations. Previous affiliations of Sally Bean include Sunnybrook Health Sciences Centre.
Papers
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Journal ArticleDOI
Public and patient involvement in health technology assessment: a framework for action.
Julia Abelson,Frank Wagner,Deirdre DeJean,Sarah Boesveld,Franςois-Pierre Gauvin,Sally Bean,Renata Axler,Stephen Petersen,Shamara Baidoobonso,Gaylene Pron,Mauro Giacomini,John N. Lavis +11 more
TL;DR: A public and patient involvement framework has been developed for implementation in a government agency’s HTA process and core elements of this framework may apply to other organizations responsible for HTA and health system quality improvement.
Journal ArticleDOI
Medical Assistance in Dying (MAiD): A Descriptive Study From a Canadian Tertiary Care Hospital.
Debbie Selby,Debbie Selby,Sally Bean,Sally Bean,Elie Isenberg-Grzeda,Elie Isenberg-Grzeda,Blair Henry D Bioethics,Amy Nolen,Amy Nolen +8 more
TL;DR: Patients seeking MAiD at an academic tertiary care center in Toronto were similar to those described in other jurisdictions where assisted dying is legal and represent a group for whom autonomy and independence is critical, suggesting a need for both earlier assessments and regular monitoring.
Journal ArticleDOI
Improving the Medical Assistance in Dying (MAID) process: A qualitative study of family caregiver perspectives.
TL;DR: In this article, a multi-methods study design used structured surveys, focus groups, and unstructured e-mail/phone conversations to gather experiential feedback from family caregivers of patients who underwent MAID between July 2016 and June 2017 at a large academic hospital in Toronto, Canada.
Journal ArticleDOI
Four equity considerations for the use of artificial intelligence in public health.
TL;DR: It is posited that there are general equity considerations and dimensions that can be identified and used as starting points for the reflection of equitable artificial intelligence in public health, and that it would be of benefit for the field to have these identified and enumerated.
Journal ArticleDOI
Betwixt & Between: Peer Recruiter Proximity in Community-Based Research
Sally Bean,Diego S. Silva +1 more
TL;DR: It is concur with Simon and Mosavel (2010) that in the use of peer-driven recruitment (PDR) within the milieu of community-based research (CBR), the proximity (i.e., physical, social, and cultural) of communities within the proximity of PDR is important.