 Graphical Representation of Life Paths to Better Convey Results of Decision Models to PatientsStefania Rubrichi, Carla Rognoni, Lucia Sacchi, Enea Parimbelli, Carlo Napolitano, Andrea Mazzanti and Silvana Quaglini Medical Decision Making, 2015, vol. 35, issue 3, 398-402 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. Keywords: shared decision-making; risk communication; Markov models; Monte Carlo simulation; time-based reporting (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:35:y:2015:i:3:p:398-402 Access Statistics for this article More articles in Medical Decision Making |
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