Description
When deciding about surgical treatment options, an important aspect of the decision-making process is the potential risk of complications. A risk assessment performed by a spinal surgeon is based on their knowledge of the best available evidence and on their own clinical experience. The objective of this work is to demonstrate the differences in the way spine surgeons perceive the importance of attributes used to calculate risk of post-operative and quantify the differences by building individual formal models of risk perceptions. We employ a preference-learning method - ROR-UTADIS - to build surgeon-specific additive value functions for risk of complications. Comparing these functions enables the identification and discussion of differences among personal perceptions of risk factors. Our results show there exist differences in surgeons’ perceived factors including primary diagnosis, type of surgery, patient’s age, body mass index, or presence of comorbidities.
Learning Objective: Understand how spinal surgeons weigh the importance of the variables used to predict post-spine surgery complications in risk assessment tools.
Authors:
Enea Parimbelli, University of Ottawa
Szymon Wilk, Poznan University of Technology
Dympna O'Sullivan, Technological University Dublin
Stephen Kingwell, The Ottawa Hospital
Wojtek Michalowski, University of Ottawa
Martin Michalowski (Presenter)
University of Minnesota
Presentation Materials: