Day-of-surgery cancellation (DoSC) represents a major wastage of resources and can cause significant inconvenience to patients. This study focuses on understanding social factors driving DoSC, including transportation access, poverty, and public resources. By leveraging a set of pre-defined social factors, we developed multiple spatial regression models to predict DoSC rate at census tract level. The results showed the capacity of spatial analysis for understanding associations of DoSC and potentially-underlying barriers.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: After participating in this session, the learner should be better able to:
1. Leverage non-geographic regularized linear regression and spatial regression models to predict day-of-surgery cancellation rate at census tract level.
2. Understand associations of day-of-surgery cancellation and potentially-underlying factors.
Lei Liu (Presenter)
Cincinnati Children's Hospital Medical Center
Yizhao Ni, Cincinnati Children's Hospital Medical Center
Andrew Beck, Cincinnati Children's Hospital Medical Center
Cole Brokamp, Cincinnati Children's Hospital Medical Center
Megha Kanjia, Texas Children's Hospital
Nick Pratap, Cincinnati Children's Hospital Medical Center