Major Papers

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

Convocation Date

2018

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