Keywords
multi-state, cox's model, Markov chain, time-homogeneous, intensity matrix, intervention
Abstract
The top 1% of frequent users account for 34% of public health system expenditures in Ontario, while the top 5% account for 66%. In this paper, we explore the efficacy of an intervention aimed at reducing hospital utilization for a group of patients defined as frequent users, by using Multi-state modeling. We employ time-homogeneous, time-inhomogeneous, parametric and semi-parametric Markov processes to study the transitions of the patients between hospital, ER and outside during a follow up period of one year. The results do not indicate any strong evidence that the intervention was beneficial.
Primary Advisor
Yu Liang
Co-Advisor
A. Hussein and A. Snowdon
Program Reader
M. Hlynka
Degree Name
Master of Science
Department
Mathematics and Statistics
Document Type
Major Research Paper