Cost benefit analysis of personalized healthcare delivery for breast cancer patients

Permanent URL: http://hdl.handle.net/2047/D20200326
Title:
Cost benefit analysis of personalized healthcare delivery for breast cancer patients
Creator:
Li, Shujun (Author)
Contributor:
Kamarthi, Sagar (Advisor)
Language:
English
Publisher:
Boston, Massachusetts : Northeastern University, 2015
Date Accepted:
December 2015
Date Awarded:
January 2016
Type of resource:
Text
Genre:
Masters theses
Format:
electronic
Digital origin:
born digital
Abstract/Description:
Breast cancer is a major field of study in healthcare due to the high prevalence of cancer and high death rate of patients. Personalized treatments have been introduced to improve the breast cancer treatment process. In this thesis, a personalized healthcare delivery model is presented to provide better treatment options from the perspective of payers and patients.

Given that treatment options take place as events in time, a discrete event simulation model is constructed in Anylogic. Patients are divided into six age-based subgroups. As they enter the model at a given rate, costs are generated based on the treatment they are given. Treatment then help to prolong patients' life years. A Markov model is used to decide the type of recurrence. Then further treatment can be delivered according to patients' recurrence type. Personalized breast cancer treatment and conventional breast cancer treatment are compared as two base case. The results indicate that personalized treatments provide better healthcare delivery by reducing less costs and extending life years.

The full factorial 33 design shows the level of personalization is the most significant factor in the cost effectiveness of breast cancer treatment. It is concluded that the healthcare delivery system will be improved by increasing the personalization level, decreasing the genetic cost, and prolonging the time interval for checking the recurrence. This thesis provides patients and payers an economic view from which to look at personalized medicine in breast cancer. The same method can be generalized and applied to other cancer fields as well.
Subjects and keywords:
breast cancer
cost benefit analysis
Medical care -- Cost effectiveness -- Simulation methods
Breast -- Cancer -- Treatment -- Cost effectiveness
Breast -- Cancer -- Treatment -- Economic aspects
Personalized medicine -- Cost effectiveness
DOI:
https://doi.org/10.17760/D20200326
Permanent Link:
http://hdl.handle.net/2047/D20200326
Use and reproduction:
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