Date of Award

3-2020

Document Type

Thesis

Degree Name

Master of Science in Operations Research

Department

Department of Operational Sciences

First Advisor

Andrew Geyer, PhD

Abstract

Shared decision making is the concept of physicians involving patients in the treatment planning process. The University of Maryland Medical Center is interested in applying shared decision making to the treatment of patients with Inflammatory Bowel Disease (IBD). The two treatment methods analyzed in this study were medical management and surgery. To explore patient preferences between these two alternatives, a discrete choice experiment (DCE) was employed. The responses for the DCE were binary, so logistic regression models were explored. The conditional logistic regression model was determined to be the most appropriate for this analysis. After step-wise regression was performed, a final conditional logistic regression model was analyzed. The results suggested that surgery was the preferred method of treatment amongst all patient profiles. Furthermore, risk of being diagnosed with cancer and risk of needing emergent surgery were the two factors that were the most influential to patient preferences. Both of these attributes had favorable levels for surgery, which was further support for surgery being the most preferred alternative among patients.

AFIT Designator

AFIT-ENS-MS-20-M-143

DTIC Accession Number

AD1102508

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