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.
| Original language | English |
|---|---|
| Pages (from-to) | 398-402 |
| Number of pages | 5 |
| Journal | Medical Decision Making |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Apr 20 2015 |
Fingerprint
Keywords
- Markov models
- Monte Carlo simulation
- risk communication
- shared decision-making
- time-based reporting
ASJC Scopus subject areas
- Health Policy
- Medicine(all)
Cite this
Graphical representation of life paths to better convey results of decision models to patients. / Rubrichi, Stefania; Rognoni, Carla; Sacchi, Lucia; Parimbelli, Enea; Napolitano, Carlo; Mazzanti, Andrea; Quaglini, Silvana.
In: Medical Decision Making, Vol. 35, No. 3, 20.04.2015, p. 398-402.Research output: Contribution to journal › Article
}
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
VL - 35
SP - 398
EP - 402
JO - Medical Decision Making
JF - Medical Decision Making
SN - 0272-989X
IS - 3
ER -