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Health Economics, Policy and Management
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[ms_accordion_item title=”Coordination” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]Guilhermina Rêgo 
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[ms_accordion style=”simple” type=”1″ class=”” id=””] [ms_accordion_item title=”Intended learning outcomes of the curricular unit” color=”#7b89b6″ background_color=”” close_icon=”” open_icon=”” status=”open”]
Objectives
– Understanding the importance of Economics and Health Economics;
– Health Systems;
– Markets and industries related to health care;
– Efficiency, effectiveness and equity in health;
– Economic evaluation techniques.
Competencies
– Present relevant concepts in Health Economics;
– Demonstrate the application of methods of economic analysis to the area of Health;
– Know the main methods of economic evaluation in health;
– Apply theoretical knowledge in practical scenarios.
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[ms_accordion style=”simple” type=”1″ class=”” id=””] [ms_accordion_item title=”Syllabus” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
Health Economics: what is it? for what? Introductory concepts.
Health in the age of Information
The growth of healthcare costs
Supply and demand in health
Funding and analysis of hospital costs
Risk adjustment methods
Health in Portugal and the role of the state
Management and financing models in the hospital and prymari care sectors in Portugal
The medicines market in Portugal
Comparison of health systems
Techniques for the economic evaluation of health technologies
Discussion of economic evaluation cases
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[ms_accordion_item title=”Demonstration of the syllabus coherence with the curricular unit’s intended learning outcomes” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
The content in 50% of its length refers to the presentation of concepts and tools by teachers. In the rest, students must proactively apply, with relative autonomy, exercising its capacity to generalize their learning.
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[ms_accordion_item title=”Teaching methodologies” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
Lectures, discussion sessions, written test (50%), evaluation of class presentations (50%).
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Theoretical lectures convey the concepts, while discussion sessions allow their application using the tools presented in the curricular unit.
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[ms_accordion_item title=”Main bibliography” color=”” background_color=”” close_icon=”” open_icon=”” status=”open”]
Berthold, M., & Hand, D. J. (2003). Intelligent Data Analysis. Springer Berlin Heidelberg.
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