Dates

8 April - 7 June 2019

All lectures and practicals are planned on Fridays
 

Content

This module is intended for health care researchers and professionals who work in academia, health care, government, consultancy or the pharmaceutical and medical device industry who wish to learn about modeling for health economic evaluation.
 

Course coordinator

Prof. Manuela Joore, PhD, Department of Clinical Epidemiology & Medical Technology Assessment, Maastricht University Medical Centre
E-mail
T +31 (0)43-38775434

and Prof. Carmen Dirksen, PhD, Department of Clinical Epidemiology & Medical Technology Assessment, Maastricht University Medical Centre


ECTS

6.0
 

Fee

Regular master’s fee  or €1752 (non-master students)

RHS4024 - Modelling in Health Technology Assessment


This module is the second of two modules on Health Technology Assessment (HTA). HTA comprises a broad evaluation of health care technologies from different perspectives including epidemiological, medical, economical, ethical, juridical and organizational aspects. Central in HTA is the question which health care technologies deliver value for money. The pace of innovation in health care is fast, and at the same time health care budgets are under pressure. As a result, the question which health care interventions deliver value for money has become a vital one. Economic evaluations of health care interventions address this question, and are used to inform the optimal allocation of health care resources. This module consists of two parts, focuses on two types of modeling to estimate value and value of money of health care: choice modelling and decision analytic modelling.  
The first part of the module (week 1-3) focuses on an alternative method of valuing the benefits of health care technologies, which is increasingly being used in health care: choice modelling on the basis of results from discrete choice experiments (DCEs). An advantage of this method is that it is able to integrate the value (utility) of health-related outcomes and outcomes beyond health. Depending on the input of DCEs, results can be used within or next to health economic evaluations to inform resource allocation decisions.  
The second part of the module (week 3-8) focuses on decision analytic modelling. Cost-effectiveness modelling is increasingly used to perform these economic evaluations as it provides a bridge between current knowledge and the allocation decision. This part of the module provides an in-depth teaching programme of model based economic evaluations. It deals with the full scope of principles, concepts and methods of cost-effectiveness modelling. 
This module is intended for students who have the ambition to undertake health care research in academia, health care organizations, government, consultancy or the pharmaceutical and medical device industry. It is designed for participants who are familiar with health economic evaluation and wish to learn how to 1) perform state of the art discrete choice experiments and statistical analysis of discrete choice data (choice modelling) and 2) use cost-effectiveness modelling methods. Before the start of this course, students are presumed to have followed the course ‘Trial–based economic evaluation’ in the Health Sciences Research Master, or have equivalent knowledge.