Interactive Textbook on Clinical Symptom Research Logo


Close Button

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

References


Chapter 14: Tools for Decision Making: Case Study 2 - Patient History
        

Imagine you are the emergency department physician at a major hospital in Colorado. Rescuers bring in a mountain climber who fell into a crevasse several days earlier.

You examine the patient and find he suffered a compound fracture of his ankle as a result of the fall. You note that there is a large open wound with bone protruding from it. The ankle is swollen, dusky, and discolored and creptitant to the touch. The patient is agitated and disoriented and has a high fever.

You conclude that the patient has gangrene of the foot and generalized sepsis.

You consult with a trauma surgeon, who proposes three options:

  • Amputate the foot - This will require the patient to use a prosthetic foot for the rest of his life.

  • Amputate the foot and perform a foot transplant - This is an option because a young man has died in an auto accident and is a possible donor of a foot. This alternative has some downside risks: death during the transplant surgery and rejection of the transplanted foot, which would require a prosthetic foot. A successful transplant would require lifelong anti-rejection medication.

  • Treat the patient with antibiotics -This alternative runs the risk of treatment failure, which could lead to death or to spread of infection to the upper leg, a complication that would require amputation of the leg rather than just the foot.

You and your consultant are expected-outcome decision makers, so your task is to decide which of the three treatments has the highest expected outcome decision problem.

The rock climber can experience only one outcome, yet, since two of the three alternative actions could lead to more than one outcome, chance plays a role in determining his fate. For example, he could die during surgery, reject the transplanted foot, or live happily with a functioning transplanted foot.

Question 2.2.1

Assuming that the probability of each outcome is known, what is the best way to represent the average outcome of an action that could lead to any one of three outcomes?

Selection ASubjectively weight the probabilities based on your personal values and preferences.
Selection BTake the sum of the numerical values for the outcomes after weighting each by the probability that it will occur.
Selection C Add all the probabilities together and divide by the number of outcomes possible.
Selection DAsk the patient what treatment he prefers and use that treatment.


Page 21 of 43
      Previous Section