Session Details

AM1: SMDM Core Course: Introduction to Medical Decision Analysis (Decision-Analytic Modeling)
(Event: 17th Biennial European Conference (ESMDM) - Leiden, The Netherlands)

Jun 10, 2018 9:00AM - Jun 10, 2018 12:30PM
Session Type: Short Course- AM 1/2 Day

Description
Course Type
Half Day
Course Level
Beginner
Format Requirements
This is an introductory course; there are no prerequisites. The intended audience includes anyone interested in understanding formal modelling methods. Bring a simple pocket calculator; laptops are not needed. Suggested Preparatory Reading: 1. Hunink MG, et al. Decision making in health and medicine. Integrating evidence and values. Cambridge: Cambridge University Press, 2014. 2. Caro JJ, et al., Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Med Decis Making, 2012. 32(5): p. 667-77.
Overview
This course provides an introduction to decision-analytic modelling methods, a tool used by medical decision scientists to carry out clinical evaluations, benefit-harm analysis and medical decision making. Medical decision analysis (or decision-analytic modeling) is a systematic approach to decision making under uncertainty used widely in medical decision making, clinical guideline development, and health technology assessment of preventive, diagnostic or therapeutic procedures. It involves combining evidence for different outcomes, such as disease progression, treatment effectiveness, safety, quality of life, and individual patient preferences, and sources, such as studies using epidemiological data, trials, surveys, and others.
Description & Objectives
Description: 
This half day course provides an introduction into medical decision analysis a tool for clinical evaluation, benefit-harm analysis and medical decision making. This course consists of lectures, interactive group exercises and discussions. Examples of published medical decision analyses will be used to illustrate the fields of application, methodological approaches, results and implications of medical decision analysis. Modeling recommendations of the ISPOR-SMDM Joint Modeling Good Research Practices Task Force will be presented to allow participants assessing and judging the quality and validity of decision models. Strengths and limitations of medical decision analysis will be discussed at the end of the course.

Objectives:

  • To understand the key concepts and goals of medical decision analysis, the basic methods of decision tree analysis, Markov modeling and way to choose an appropriate model
  • To understand why and when decision-analytic modeling should be used in clinical evaluation, and to critically judge the conclusions derived from a decision-analytic model and know the strengths and limitations of modeling
Course Directors
  • Beate Jahn
    • Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology
  • Ursula Rochau
    • Department of Public Health, Health Services Research and Health Technology Assessment UMIT - University for Health Sciences, Medical Informatics and Technology

  

Session Fees
Fee TypeMember FeeNon-Member Fee
This session is free
Early: $158.00 $216.00
Regular: $158.00 $216.00
Late: $173.00 $241.00
This session is free
Early: $80.00 $80.00
Regular: $80.00 $80.00
Late: $91.00 $91.00

 

Society for Medical Decision Making
136 Everett Road
Albany, NY 12205

info@SMDM.org

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