TY - JOUR
T1 - Graphical representation of life paths to better convey results of decision models to patients
AU - Rubrichi, Stefania
AU - Rognoni, Carla
AU - Sacchi, Lucia
AU - Parimbelli, Enea
AU - Napolitano, Carlo
AU - Mazzanti, Andrea
AU - Quaglini, Silvana
PY - 2015/4/20
Y1 - 2015/4/20
N2 - 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.
AB - 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.
KW - Markov models
KW - Monte Carlo simulation
KW - risk communication
KW - shared decision-making
KW - time-based reporting
UR - http://www.scopus.com/inward/record.url?scp=84925009869&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925009869&partnerID=8YFLogxK
U2 - 10.1177/0272989X14565822
DO - 10.1177/0272989X14565822
M3 - Article
C2 - 25589524
AN - SCOPUS:84925009869
VL - 35
SP - 398
EP - 402
JO - Medical Decision Making
JF - Medical Decision Making
SN - 0272-989X
IS - 3
ER -