After this course the student is able to:
• Understand the concepts of a systematic review and evidence synthesis, and can apply these concepts to support health care decision making and to create a value dossier for new health technologies;
• Understand the use of, and limitations of, decision trees and Markov models for health economic evaluations, and can construct a straightforward patient-level health economic model;
|
|
Students will learn the basic concepts of systematic reviews and evidence synthesis. They will learn and present about different types of health economic models, and how these can be used for decision making in healthcare. Particular attention is paid to patient-level models as means to accurately reflect real-world clinical practice.
Grading is based on a practical assignment in which student further develop and populate a patient-level simulation model, and interpret the corresponding results, and on the presentation of a value dossier, in which evidence is combined to present the potential added value of a new healthcare innovation.
Assesment
| Name partial |
Type of assessment |
Weight |
Minimum grade |
Description |
| Health Economic Modeling Assignment |
Practical assignment |
66% |
5.5 |
Developing a patient-level simulation model in Excel based on predefined steps and answering interpretation questions. |
| Value Dossier Assignment |
Practical assignment |
34% |
5.5 |
Developing a value dossier on the added value of a healthcare innovation and presenting this dossier during a seminar. |
|
 |
|