A continuous-risk decision analysis of total hip replacement

James M. Pellissier*, Gordon B. Hazen, Rowland W. Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Stochastic trees are stochastic processes, such as continuous-time Markov chains, which may be represented using tree diagrams. Continuous-risk utility assessment is a methodology that differs from standard assessment protocols by offering choices between alternatives which are not ‘sure’ things, thus enabling more realistic and familiar assessment scenarios to be posed. In this paper we develop, using information from the medical literature, stochastic tree models of the total hip replacement decision alternatives facing a patient with advanced osteoarthritis of the hip. We describe a decision analytic approach to the problem which uses continuous-risk utility assessment, and present empirical assessment results. We explore the sensitivity of the subjects’ treatment recommendations to changes in model parameters and elicited preference values, offering insights into the variety of patient risk attitudes and preferences about functional well-being and the robustness of the total hip replacement decision to them.

Original languageEnglish (US)
Pages (from-to)776-793
Number of pages18
JournalJournal of the Operational Research Society
Issue number6
StatePublished - Jun 1996


  • Continuous-risk utility assessment
  • Decision analysis
  • Health care
  • Stochastic trees

ASJC Scopus subject areas

  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research
  • Marketing


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