Economic Analyses in Healthcare

In order to register for the course F7KMSEAZ, the student must have successfully completed the course F7KMSHZT in a previous semester.

Garant předmětu:

Gleb Donin

Lecturer:

Gleb Donin, Ondřej Gajdoš

Tutor:

Gleb Donin, Ondřej Gajdoš, Barbora Mašková

Supervisor:

Department of Biomedical Technology

Synopsis:

The subject follows the subject of Health Technology Assessment. During the semester the student will get acquainted with specific types of analyzes (cost-effectiveness analysis, cost-benefit analysis, cost-benefit analysis), learn how to work with TreeAge and create meta-analyzes and Markov models. The student will further expand his / her knowledge of multi-criteria decision analysis.

Requirements:

Individual work on exercises - max. 10 points for each. That is max. 60 points

Concluding test of the substance during the semester (max. 40 points).

Syllabus of lectures:

•Introduction to economic analysis. Conditions of credit. Overview of analyzes.

•Meta-analysis. Use of clinical data in HTA. Randomized and non-randomized controlled trials. Observation studies. RR, ODDS. Forest plot plot.

•Statistical data processing for HTA.

•Multi-criteria decision making - an overview of methods, gradual scheduling of weights, compliance and non-conformities.

•DALY, HYEa. MAFEIP.

•Cost analyzes.

•Siva Cost Assessment Instrument.

•Predictive models of financial analysis.

•Financial analysis indicators.

•DuPont pyramidal decomposition. Budget impact analysis.

•Modeling in HTA. Markov models.

•Use of Bayesian methods in HTA.

Syllabus of tutorials:

•Introduction to economic analysis. Conditions of credit. Overview of analyzes.

•Meta-analysis. Use of clinical data in HTA. Randomized and non-randomized controlled trials. Observation studies. RR, ODDS. Forest plot plot.

•Statistical data processing for HTA.

•Multi-criteria decision making - an overview of methods, gradual scheduling of weights, compliance and non-conformities.

•DALY, HYEa. MAFEIP.

•Cost analyzes.

•Siva Cost Assessment Instrument.

•Predictive models of financial analysis.

•Financial analysis indicators.

•DuPont pyramidal decomposition. Budget impact analysis.

•Modeling in HTA. Markov models.

•Use of Bayesian methods in HTA.

Study Objective:

Study materials:

[1].HUNINK, M. G. Myriam. Decision making in health and medicine: integrating evidence and values. Second edition. Cambridge, United Kingdom: Cambridge University Press, 2014. ISBN 978-1-107-69047-9.

[2].Edlin, R., McCabe, C.: Cost Effectiveness Modelling for Health Technology Assessment, Springer International Publishing Switzerland, 2015. ISBN: 978-3-319-15743-6.

Note:

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

Time-table is not available yet

The course is a part of the following study plans:

• Systematic Integration ofPprocesses in Healthcare - combined study (compulsory elective course)