Course catalogue doctoral education - VT24

    Startpage
  • Ansökan kan ske mellan 2023-10-16 och 2023-11-15
Application closed
Print
Title Advanced Global Health Economics with a focus on Economic Evaluation
Course number 5575
Programme Infektionsbiologi och global hälsa (BIGH)
Language English
Credits 3.0
Date 2022-10-10 -- 2022-10-28
Responsible KI department Institutionen för global folkhälsa
Specific entry requirements KI doctoral course Global health economic course, or corresponding knowledge.
Purpose of the course The aim of this course is to build on the understanding obtained in the Global Health Economics course and to learn about economic evaluations and performing a health economic analysis from different economic perspectives (healthcare and societal). The course will allow the students to deepen their understanding about the different components of economic evaluations such as costs, outcomes and modelling methodology. Hence, they will analyse and apply the theoretical knowledge by building a model to compare treatments and healthcare interventions. It will also focus on the unique challenges and limitations commonly faced when modeling communicable and non-communicable diseases while analysing some published economic evaluations. Finally, the course will focus on communicating the results of cost effectiveness analysis considering its limitations.
Intended learning outcomes At the end of the course the students will be able to:
• Understand the different types of economic evaluations, models, their advantages, limitations and use in health economics
• Describe the different components and assumptions needed for an economic evaluation
• Describe the different health outcomes used in economic evaluations and the methodology of computing disability adjusted life years (DALYs) and quality adjusted life years (QALYs)
• Understand the assumptions needed to be taken while preparing an economic evaluation and justify the choices
• Build a health economic model to assess a health-related intervention
• Understand and apply sensitivity analyses for an economic model (one-way/ two-ways sensitivity analysis and monte-Carlo simulation)
• Critically assess an economic model through identifying areas for improvement and limitations
• Write and communicate the results of an economic evaluation

Contents of the course Health economics is the use of economic theory and methodology to analyze how scarce resources are used in the health sector and in relation to health. One of the main tools of health economics is cost effectiveness analysis models which can inform policies about prioritization of healthcare interventions. The course will explore and explain the different steps needed to build a cost effectiveness analysis, the types of outcomes that are commonly used including QALYs and DALYs, the modelling approach including assumptions and real-life data. The course will allow students to build an economic model, explore the different approaches and possibilities in term of communicable and non-communicable disease modelling. Students will have the chance to understand and reflect on the limitations and results of economic models with an emphasis on sensitivity analysis.
The course provides training in modelling and cost effectiveness analyses and presentations, both written and oral.
Teaching and learning activities The course will have a blended learning approach with the combination of face-to-face lectures, online practical assignments/discussions, self-study and oral presentations and a final written assignment. Face-to-face lectures and other activities will be conducted over the two- week period. Practical assignments in the form of discussions and exercises will be discussed with the group (if applicable online) and peer feedback will be given.
Compulsory elements Participation in the group work, oral presentation, and submitting a final written assignment will be mandatory. Absence can be compensated by an assignment from the course leader.
Examination Course assignments dedicated to building a model, oral presentation and final written assignment will be graded as fail or pass. In order to pass the course, the student need to pass the oral presentation and the written assignment. The course assignments will guide the students through the steps needed to design a health economic study and build a model. The aim of the examination is to test the students on what they have learned over the duration of the course and how well they can apply it. The written assignment will have to be submitted through the KI online learning platform the last day of the course.
Literature and other teaching material Mandatory Reading:
Drummond MF (ed.). Methods for the Economic Evaluation of Health Care Programmes. Oxford: Oxford university press, fourth edition.
- chapter 4:Principles of economic evaluation
- chapter 9:Economic evaluation using decision analytic modelling
- chapter 10:Identifying, synthesizing, and analyzing evidence for economic evaluation
- chapter 11:Characterising, reporting, and interpreting uncertainty

Morris, S.; Morris, S. Economic analysis in health care. 2nd ed. : Chichester : John Wiley & Sons, 2012. ISBN:978-1-119-95149-0 (paper : alk. paper) LIBRIS-ID:12746972

Recommended Reading:
Griffiths UK, Legood R, Pitt C. Comparison of Economic Evaluation Methods Across Low-income, Middle-income and High-income Countries: What are the Differences and Why? Health Econ. 2016 Feb;25 Suppl 1:29-41. doi: 10.1002/hec.3312. Epub 2016 Jan 17.
Number of students 8 - 20
Selection of students Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date)
More information
Additional course leader Birger Forsberg
Latest course evaluation Not available
Course responsible Jad Shedrawy
Institutionen för global folkhälsa

jad.shedrawy@ki.se
Contact person Jad Shedrawy
Institutionen för global folkhälsa

jad.shedrawy@ki.se


Birger Forsberg
Institutionen för global folkhälsa

birger.forsberg@ki.se