Dates

29 October - 21 December 2018

Lectures, tutorials and practicals are planned on Fridays.


Content

This module deals with the various aspects of health measurement. Health is always the main (dependent) variable in epidemiologic research, hence to measure it and to deal with the various aspects of measuring it correctly is the core of this course.

Course coordinator

Esther Bols, PhD, Department of Epidemiology
E-mail
T +31 (0)43-3882253
 

ECTS

5.0
 

Fee

Full module: regular master’s fee or € 1460 (non-master student)

 

EPI4924 - Clinimetrics: from Biomarkers to Quality of Life


This module deals with the various aspects of health measurement. Health is always the main (dependent) variable in epidemiologic research. By means of lectures,  practicals, group discussions and exercises the participants will be made familiar with the various aspects of health (and exposure) measurement (reliability, validity, validity to change and responsiveness): the concept of health and its various dimensions; the use of health and vital indicators in public health planning and evaluation; the organization of health-related information and the structure and practical use of major health classification systems; various forms of national and international health registries; the structure and contents of (inter)national public health surveillance systems; the various types of health measurement scales that have been developed for health status measurement and health outcome evaluation; the main principles of measurement theory, in particular the theoretical underpinnings of health and exposure measurement (clinimetrics); the main criteria of the methodological quality of a health measurement scale; the steps in the development and evaluation of a health outcome measurement scale; and the main principles of diagnostic testing and population screening for disease. The module will cover the field from biomarkers until Quality of life measures.
 
The module consists of a  8 week course, which is open for external participants as well (e.g., PhD students), every Friday. The eight week module will be concluded with an exam with open-ended questions.