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About Study Course

Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Eva Petrošina
Study type:Full time
Course level:Master's
Target audience:Life Science
Language:English, Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To give an understanding of practical, methodological and theoretical issues related to the economic evaluation of health care programmes, and how economic evaluation can be applied to the health care sector to form decisions.

Prerequisites

Students should have some familiarity with the concepts of economic evaluation.

Learning outcomes

Knowledge

Students will:
• Explain the foundations and scope of cost and efficiency analyses.
• List how efficiency analyses can be used in formulation of public policy.
• Define what information is needed to do analyses.
• Describe empirical methods that are in use in the health care area.
• Outline the theory, principles and methods of economic evaluation.
• Explain basic cost concepts and methods for analysing uncertainty.
• Distinguish methods for modelling and collection of data for economic evaluation, as well as methods for monetary valuations of health improvements.

Skills

Students will be able to:
• Apply production theory, incl. cost functions, efficiency and productivity concepts.
• Choose statistical tools for analysing costs, productivity and efficiency.
• Use empirical productivity analyses of hospital data.
• Perform a basic economic evaluation.
• Select medical interventions according to the decision rules of cost-effectiveness analysis.
• Calculate costs and health outcomes of different medical interventions.
• Develop a decision model Judgement and approach.
• Assess the choice of methods for economic evaluation of health care programmes.
• Reflect on the role of health economic evaluation for different actors in society.

Competence

Students will be competent to:
• Calculate efficiency and cost estimates based on provided data, critically analyse them and, if necessary, carry out additional analysis.
• Judge and discuss the relevance and limitations of empirical efficiency and performance measures, demonstrating awareness of the potential impact of professional activity on society.
• Assess and interpret cost-effectiveness studies, integrating knowledge from different areas.

Study course planning

Planning period:Year 2024, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Biostatistics, MFBS2Master’sLimited choice
Biostatistics, MFBSeng2Master’sLimited choice