Background: Estimating the value of medical treatments to patients is an
essential part of healthcare decision making, but is mostly done implicitly and
without consulting patients. Multi criteria decision analysis (MCDA) has been
proposed for the valuation task, while stated preference studies are increasingly
used to measure patient ... read morepreferences. In this study we propose a methodology for using
stated preferences to weigh clinical evidence in an MCDA model that includes
uncertainty in both patient preferences and clinical evidence
explicitly.
Keywords: Multi criteria decision analysis, Patient preferences, Monte
Carlo simulations, Probabilistic models, Depression.
Broekhuizen, Henk, Catharina G. Groothuis-Oudshoorn, A. Brett
Hauber, Jeroen P. Jansen, and Maarten J. IJzerman. "Estimating the value of medical
treatments to patients using probabilistic multi criteria decision analysis." BMC
Medical Informatics and Decision Making 15, no. 1 (12, 2015):
1-10.