Workshops

The workshop is addressed to all people who have basic knowledge in regression models. We assume that erveryone who have understood the very basic principles of regresion models will be able to follow the workshop and will benefit. Coding systems are basic requirements for most analyses we will do while comparing our six country data. Therefore, we assume that this topic is of interest for almost all members of the FREMED project who will analyse data.

In the morning sessions of the workshop we will provide you with the theoretical knowledge of coding systems and in the afternoon there will be training sessions on the computer.
 

In the training sessions we will analyse ESEMeD data. All attendees who have experienced problems while analysing cross country differences are welcome to address these issues in our training sessions. We will provide you with all necessary materials for the workshop and the software package we will use.

Brief description of the program

Brief outline

Overview of different methods in health economic evaluation and strength and limitations of the methods presented. On the first day of the course a brief introduction into economic evaluation is given followed by an introduction into the analysis of health outcomes. Health related quality of life instruments are presented (SF-12, EQ-5D) and methods to measure health (care) outcomes such as quality-adjusted-life-years (QALYs). Each theory session is followed by an exercise session, where examples of the presented methods are applied to available data sets. The second day of the course starts with decision analysis and modelling (decision trees and Markov models). At the end of the course the presentation of health economic evaluation is introduced. Uncertainty analysis, cost-effectiveness acceptability curves, net-benefit approach is briefly introduced followed by a session where these approaches will be applied to real data.
 

Brief outline

The course will give an overview of different methods in the measurement of health related quality of life (HRQL) as it is measured in the ESEMeD dataset (EQ-5D and SF-12). The workshop will inform the attendees about strength and limitations of the instruments presented.

The course will start with a brief introduction to the topics of the workshop and an presentation on the concepts of HRQL in mental health research. This introductory session will be followed by an brief introduction to the Short-Form 12. Each theory session is followed by an exercise session, where examples of the presented methods will be applied to available datasets. In the afternoon an excursus to measurement of change using SF-12 in a longitudinal surveys will be given. The second day will start with a presentation and an exercise about cross-national assessment of HRQL using different valuation methods. The second day ends with a presentation and an exercise about different types of item bias that might occur applying the EQ-5D in different countries. Two types of item bias will be investigated: 1. Characteristic of the respondent: six countries, 2. Characteristic of the item: position in the questionnaire. Item bias is analysed employing 1- and 2-parameter Item Response Theory models.