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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Economic Analyses in Healthcare

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Code Completion Credits Range Language
F7PMSEAZ KZ 3 2P+2S Czech
Vztahy:
In order to register for the course F7PMSEAZ, the student must have successfully completed the course F7PMSHZT in a previous semester.
Garant předmětu:
Gleb Donin
Lecturer:
Gleb Donin, Ondřej Gajdoš, Jan Žigmond
Tutor:
Aneta Benešová, Martina Homolková, Karla Mothejlová
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, R and create meta-analyzes and Markov models. The student will further expand his / her knowledge of multi-criteria decision analysis.

Requirements:

Maximum two absences during the semester.

Individual work on exercises - max. 40 points

Concluding test of the substance during the semester (max. 60 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 2024/2025:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
roomKL:B-433
Donin G.
Gajdoš O.

14:00–15:50
(lecture parallel1)
Kladno FBMI
Lab. KI a MZT
roomKL:B-433
Gajdoš O.
Donin G.

16:00–17:50
(lecture parallel1
parallel nr.1)

Kladno FBMI
Lab. KI a MZT
roomKL:B-433
Kamenský V.
Žigmond J.

14:00–15:50
(lecture parallel2)
Kladno FBMI
Lab. KI a MZT
roomKL:B-433
Mašková B.
Kamenský V.

16:00–17:50
(parallel nr.2)
Kladno FBMI
Lab. KI a MZT
Thu
Fri
Time-table for summer semester 2024/2025:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-06-13
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet5821206.html