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F7AMSEAZ - Economic Analyses in Healthcare

Code Completion Credits Range Language
F7AMSEAZ KZ 3 2P+2S English
Enrollement in the course requires an successful completion of the following courses:
Health Technology Assessment (F7AMSHZT)
Lecturer:
Vojtěch Kamenský, Gleb Donin (guarantor)
Tutor:
Vojtěch Kamenský, Gleb Donin (guarantor), Ondřej Gajdoš, Barbora Klíčová
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:
The course is a part of the following study plans:
Downloads: