Constrained optimization methods in health services research - an introduction: report 1 of the ISPOR optimization methods emerging good practices task force

William Crown, Nasuh Buyukkaramikli, Praveen Thokala, Alec Morton, Mustafa Y. Sir, Deborah A. Marshall, Jon Tosh, William V. Padula, Maarten J. Ijzerman, Peter K. Wong, Kalyan S. Pasupathy

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Providing health services with the greatest possible value to patients and society given the constraints imposed by patient characteristics, health care system characteristics, budgets, etc. relies heavily on the design of structures and processes. Such problems are complex and require a rigorous and systematic
approach to identify the best solution. Constrained optimization is a set of methods designed to identify efficiently and systematically, the best solution (the optimal solution) to a problem characterized by a number of potential solutions in the presence of identified constraints. This report identifies: 1) key concepts and the main steps in building an optimization model; 2) the types of problems where optimal solutions can be determined in real world health applications and 3) the appropriate optimization methods for these problems. We first present a simple graphical model based upon the treatment of "regular" and "severe" patients, which maximizes the overall health benefit subject to time and budget constraints. We then relate it back to how optimization is relevant in health services research for addressing present day challenges. We also explain how these mathematical optimization methods relate to simulation methods, to standard health economic analysis techniques, and to the emergent fields of
analytics and machine learning.
LanguageEnglish
Pages310 – 319
Number of pages10
JournalValue in Health
Volume20
Issue number3
DOIs
Publication statusPublished - 13 Mar 2017

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Health Services Research
Advisory Committees
Budgets
Insurance Benefits
Health Services
Economics
Delivery of Health Care
Health services research
Task force
Constrained optimization
Good practice
Health
Optimal solution
Therapeutics

Keywords

  • decision making
  • care delivery
  • policy
  • modeling

Cite this

Crown, William ; Buyukkaramikli, Nasuh ; Thokala, Praveen ; Morton, Alec ; Sir, Mustafa Y. ; Marshall, Deborah A. ; Tosh, Jon ; Padula, William V. ; Ijzerman, Maarten J. ; Wong, Peter K. ; Pasupathy, Kalyan S. / Constrained optimization methods in health services research - an introduction : report 1 of the ISPOR optimization methods emerging good practices task force. In: Value in Health. 2017 ; Vol. 20, No. 3. pp. 310 – 319.
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Crown, W, Buyukkaramikli, N, Thokala, P, Morton, A, Sir, MY, Marshall, DA, Tosh, J, Padula, WV, Ijzerman, MJ, Wong, PK & Pasupathy, KS 2017, 'Constrained optimization methods in health services research - an introduction: report 1 of the ISPOR optimization methods emerging good practices task force' Value in Health, vol. 20, no. 3, pp. 310 – 319. https://doi.org/10.1016/j.jval.2017.01.013

Constrained optimization methods in health services research - an introduction : report 1 of the ISPOR optimization methods emerging good practices task force. / Crown, William; Buyukkaramikli, Nasuh; Thokala, Praveen; Morton, Alec; Sir, Mustafa Y.; Marshall, Deborah A.; Tosh, Jon; Padula, William V.; Ijzerman, Maarten J.; Wong, Peter K.; Pasupathy, Kalyan S.

In: Value in Health, Vol. 20, No. 3, 13.03.2017, p. 310 – 319.

Research output: Contribution to journalArticle

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