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Graphical Representation of Life Paths to Better Convey Results of Decision Models to Patients

Author

Listed:
  • Stefania Rubrichi
  • Carla Rognoni
  • Lucia Sacchi
  • Enea Parimbelli
  • Carlo Napolitano
  • Andrea Mazzanti
  • Silvana Quaglini

Abstract

The inclusion of patients’ perspectives in clinical practice has become an important matter for health professionals, in view of the increasing attention to patient-centered care. In this regard, this report illustrates a method for developing a visual aid that supports the physician in the process of informing patients about a critical decisional problem. In particular, we focused on interpretation of the results of decision trees embedding Markov models implemented with the commercial tool TreeAge Pro. Starting from patient-level simulations and exploiting some advanced functionalities of TreeAge Pro, we combined results to produce a novel graphical output that represents the distributions of outcomes over the lifetime for the different decision options, thus becoming a more informative decision support in a context of shared decision making. The training example used to illustrate the method is a decision tree for thromboembolism risk prevention in patients with nonvalvular atrial fibrillation.

Suggested Citation

  • Stefania Rubrichi & Carla Rognoni & Lucia Sacchi & Enea Parimbelli & Carlo Napolitano & Andrea Mazzanti & Silvana Quaglini, 2015. "Graphical Representation of Life Paths to Better Convey Results of Decision Models to Patients," Medical Decision Making, , vol. 35(3), pages 398-402, April.
    • Handle: RePEc:sae:medema:v:35:y:2015:i:3:p:398-402
    DOI: 10.1177/0272989X14565822
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