Optimizing the simultaneous management of blood pressure and cholesterol for type 2 diabetes patients

J. E. Mason, B. T. Denton, Nilay D Shah, S. A. Smith

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

We present a Markov decision process (MDP) model to determine the optimal timing of blood pressure and cholesterol medications. We study the use of our model for a high-risk population of patients with type 2 diabetes; however, the model and methods we present are applicable to the general population. We compare the optimal policies based on our MDP to published guidelines for initiation of blood pressure and cholesterol medications over the course of a patient's lifetime. We also present a bicriteria analysis that illustrates the trade off between quality-adjusted life years and costs of treatment.

Original languageEnglish (US)
Pages (from-to)727-738
Number of pages12
JournalEuropean Journal of Operational Research
Volume233
Issue number3
DOIs
StatePublished - Mar 16 2014

Fingerprint

Cholesterol
Diabetes
Blood pressure
Blood Pressure
Markov Decision Process
Medical problems
Bicriteria
Decision Model
Optimal Policy
Process Model
Timing
Lifetime
Trade-offs
Costs
Model
Markov decision process
Medication
Type 2 diabetes
Life
General population

Keywords

  • Blood pressure treatment
  • Cholesterol treatment
  • Markov decision process
  • OR in medicine
  • Type 2 diabetes

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Modeling and Simulation
  • Information Systems and Management

Cite this

Optimizing the simultaneous management of blood pressure and cholesterol for type 2 diabetes patients. / Mason, J. E.; Denton, B. T.; Shah, Nilay D; Smith, S. A.

In: European Journal of Operational Research, Vol. 233, No. 3, 16.03.2014, p. 727-738.

Research output: Contribution to journalArticle

@article{de5843a5492f479c9a454c6277ea9b97,
title = "Optimizing the simultaneous management of blood pressure and cholesterol for type 2 diabetes patients",
abstract = "We present a Markov decision process (MDP) model to determine the optimal timing of blood pressure and cholesterol medications. We study the use of our model for a high-risk population of patients with type 2 diabetes; however, the model and methods we present are applicable to the general population. We compare the optimal policies based on our MDP to published guidelines for initiation of blood pressure and cholesterol medications over the course of a patient's lifetime. We also present a bicriteria analysis that illustrates the trade off between quality-adjusted life years and costs of treatment.",
keywords = "Blood pressure treatment, Cholesterol treatment, Markov decision process, OR in medicine, Type 2 diabetes",
author = "Mason, {J. E.} and Denton, {B. T.} and Shah, {Nilay D} and Smith, {S. A.}",
year = "2014",
month = "3",
day = "16",
doi = "10.1016/j.ejor.2013.09.018",
language = "English (US)",
volume = "233",
pages = "727--738",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "3",

}

TY - JOUR

T1 - Optimizing the simultaneous management of blood pressure and cholesterol for type 2 diabetes patients

AU - Mason, J. E.

AU - Denton, B. T.

AU - Shah, Nilay D

AU - Smith, S. A.

PY - 2014/3/16

Y1 - 2014/3/16

N2 - We present a Markov decision process (MDP) model to determine the optimal timing of blood pressure and cholesterol medications. We study the use of our model for a high-risk population of patients with type 2 diabetes; however, the model and methods we present are applicable to the general population. We compare the optimal policies based on our MDP to published guidelines for initiation of blood pressure and cholesterol medications over the course of a patient's lifetime. We also present a bicriteria analysis that illustrates the trade off between quality-adjusted life years and costs of treatment.

AB - We present a Markov decision process (MDP) model to determine the optimal timing of blood pressure and cholesterol medications. We study the use of our model for a high-risk population of patients with type 2 diabetes; however, the model and methods we present are applicable to the general population. We compare the optimal policies based on our MDP to published guidelines for initiation of blood pressure and cholesterol medications over the course of a patient's lifetime. We also present a bicriteria analysis that illustrates the trade off between quality-adjusted life years and costs of treatment.

KW - Blood pressure treatment

KW - Cholesterol treatment

KW - Markov decision process

KW - OR in medicine

KW - Type 2 diabetes

UR - http://www.scopus.com/inward/record.url?scp=84888353064&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84888353064&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2013.09.018

DO - 10.1016/j.ejor.2013.09.018

M3 - Article

AN - SCOPUS:84888353064

VL - 233

SP - 727

EP - 738

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -