Gabrielle van der Velde Profile
Gabrielle van der Velde, DC, PhD
Clinical Epidemiologist (Faculty)
Current Position and Professional Functions
Dr. van der Velde is a scientist at the Toronto Health Economics & Technology Assessment (THETA) Collaborative, an Assistant Professor in the University of Toronto in the Faculty of Pharmacy, an Adjunct Scientist at the Institute for Work & Health, and a licensed chiropractor in the province of Ontario. She is a past member of the Scientific Secretariat of the Bone and Joint Decade 2000-2010 Task Force on Neck Pain and its Associated Disorders. She is currently a member of the Core Scientific Team and Guideline Expert Panel which are responsible for developing recommendations for the upcoming evidence-based Ontario Minor Injury Guideline to be used for the management of minor traffic injuries in Ontario.
Education and Training
Dr. van der Velde completed a Bachelor Degree in Human Biology at the University of Toronto, a Chiropractic Degree at the Canadian Memorial Chiropractic College, and a doctoral degree in Clinical Epidemiology and Health Care Research at the University of Toronto. She received four Canadian Institutes of Health Research (CIHR) salary awards during her graduate and post-graduate studies, as well as a CIHR Bisby award. Her research training focused on applied health economic methods (decision analysis, economic modeling, cost-effectiveness analysis), measurement in clinical research (measurement properties of clinical scales, item-response theory analysis, modern test theory), and systematic review methods.
Research Interests and Expertise
Dr. van der Velde’s primary interest is in the health technology assessment and economic evaluation of interventions for musculoskeletal conditions. She is currently leading an economic evaluation of two whiplash interventions compared to the legislated standard of care in Ontario alongside the University Health Network Whiplash Intervention Trial (WIT). She is also interested in the measurement health-related quality-of-life and evaluation of measurement properties of health scales using Rasch analysis.