Veidlapa Nr. M-3 (8)
Study Course Description
Health Economics
Course Code
SL_110
Branch of Science
Mathematics; Theory of probability and mathematical statistics
ECTS
3.00
Target Audience
Life Science
LQF
Level 7
Study Type And Form
Full-Time; Part-Time
Study Course Implementer
Course Supervisor
Eva Petrošina
Structure Unit Manager
Andrejs Ivanovs
Structural Unit
Statistics Unit
Contacts
14 Baložu street, Riga, statistika@rsu.lv, +371 67060897
About Study Course
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.
Preliminary Knowledge
Students should have some familiarity with the concepts of economic evaluation.
Learning Outcomes
Knowledge
1.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
1.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.
Competences
1.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.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
• Literature studies on each of 8 topics.
• 2 homeworks on topics of:
1. Health outcomes and costs.
2. Decision analytic modelling.
|
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
Assessment on the 10-point scale according to the RSU Educational Order:
• 2 homeworks, each counting 25% of the final grade.
• Closed book written exam (50%)
|
||
Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
3
|
Topics
|
Introduction. Economic evaluation in health care.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Life tables and extrapolation.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Measuring, valuing, and analysing health outcomes.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Defining, measuring, and valuing costs.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Analysing costs.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Decision analytic modelling: decision trees.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Decision analytic modelling: Markov models.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Finals. Analysing cost-effectiveness studies.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Introduction. Economic evaluation in health care.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Life tables and extrapolation.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Measuring, valuing, and analysing health outcomes.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Defining, measuring, and valuing costs.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Analysing costs.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Decision analytic modelling: decision trees.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Decision analytic modelling: Markov models.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Finals. Analysing cost-effectiveness studies.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
16 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
Cost Effectiveness Modelling for Health Technology Assessment: A Practical Course / Richard Edlin, Christopher McCabe, Claire Hulme. 2015.
2.
The Economics of Health and Health Care / Sherman Folland, Allen Charles Goodman, and Miron Stano. 2017.
3.
Drummond MF et al. Methods for the Economic Evaluation of Health Care Programmes, 4th edition. New York: Oxford University Press (Paperback). 2015.