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Tools for Decision Making Sections
Author Bio
Introduction
Part I
Expected Value Decision Making
Case Study 2: Patient History
Using a Decision Tree
Currently selected section: Assigning Utility
Expected Value and QALYs
Sensitivity Analysis
Conclusions: Case Study 2
Part III

References


Chapter 14: Tools for Decision Making: Assigning Utility
        

Here is the author's decision tree for the injured climber problem.

Figure 2.4.2: Decision Tree for the Injured Climber
Decision tree for injured climber where: choices are amputate, treat infection, do transplantation. Amputate leads to 10 x UloseFoot; Treat infection leads to Save foot (p=.6) leads to 10; or Treatment fails leads to 0. If treatment fails, either die (p=.125) or amputate leg leads to 10 x UloseLeg. Do transplantation leads to Operative death (p=.02) leads to 0. Patient survival leads to rejecting (p=0.05) leads to 10 x UloseFoot. Success leads to 10 x Utrans.

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