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

J. E. Mason; B. T. Denton; N. D. Shah; S. A. Smith

doi:10.1016/j.ejor.2013.09.018

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

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

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

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 language	English (US)
Pages (from-to)	727-738
Number of pages	12
Journal	European Journal of Operational Research
Volume	233
Issue number	3
DOIs	https://doi.org/10.1016/j.ejor.2013.09.018
State	Published - Mar 16 2014

Keywords

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

ASJC Scopus subject areas

Computer Science(all)
Modeling and Simulation
Management Science and Operations Research
Information Systems and Management

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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, {N. D.} and Smith, {S. A.}",

note = "Funding Information: This material is based in part upon work supported by the National Science Foundation under Grant No. CMMI 0969885 (Denton). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. This project was also funded in part by the Agency for Healthcare Research and Quality (AHRQ) under Grant No. 1R36HS020878-01 (Mason). The authors are grateful for the helpful comments from two anonymous reviewers that helped to improve this manuscript. Copyright: Copyright 2013 Elsevier B.V., All rights reserved.",

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doi = "10.1016/j.ejor.2013.09.018",

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AU - Mason, J. E.

AU - Denton, B. T.

AU - Shah, N. D.

AU - Smith, S. A.

N1 - Funding Information: This material is based in part upon work supported by the National Science Foundation under Grant No. CMMI 0969885 (Denton). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. This project was also funded in part by the Agency for Healthcare Research and Quality (AHRQ) under Grant No. 1R36HS020878-01 (Mason). The authors are grateful for the helpful comments from two anonymous reviewers that helped to improve this manuscript. Copyright: Copyright 2013 Elsevier B.V., All rights reserved.

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

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JF - European Journal of Operational Research

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

Abstract

Keywords

ASJC Scopus subject areas

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