.
Economic Modelling Techniques
Study Course Description
Course Description Statuss:Approved
Course Description Version:3.00
Study Course Accepted:02.02.2024 12:30:14
| Study Course Information | |||||||||
| Course Code: | VVDG_030 | LQF level: | Level 7 | ||||||
| Credit Points: | 8.00 | ECTS: | 12.00 | ||||||
| Branch of Science: | Economics; Social Economics | Target Audience: | Health Management | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Daiga Behmane | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Faculty of Social Sciences | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | Dzirciema street 16, Rīga, szf rsu[pnkts]lv | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 16 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 32 | ||||
| Classes (count) | 32 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 64 | ||||
| Total Contact Hours | 96 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Data Analysis in Health Care, Health Economics, Health Management, Basics of economics. | ||||||||
| Objective: | The overall objective of this course is to provide students with a fundamental knowledge of economic modelling, modelling techniques and economic evaluation to support decision making in healthcare. Beside a general overview of modelling and modelling techniques for business processes, a special focus is given to health care and the application and benefit of economic modelling approaches to health care services. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 2 | Basic definitions of modelling terminology, concepts | Lectures | 1.00 | auditorium | |||||
| Classes | 2.00 | auditorium | |||||||
| 3 | Application of modelling | Lectures | 2.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| 5 | Decision trees | Lectures | 2.00 | auditorium | |||||
| Classes | 2.00 | computer room | |||||||
| 6 | Markov models | Lectures | 2.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| 7 | Monte-Carlo simulation | Lectures | 1.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| 8 | System dynamics | Lectures | 2.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| 9 | Discrete-Event-Simulation | Lectures | 1.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| 10 | Agent-Based Modelling | Lectures | 1.00 | auditorium | |||||
| Classes | 2.00 | computer room | |||||||
| 12 | Fundamentals on Economic Evaluation, definitions and terminology | Lectures | 1.00 | auditorium | |||||
| Classes | 2.00 | auditorium | |||||||
| 13 | The process and application of Economic Evaluation to health care | Lectures | 1.00 | auditorium | |||||
| Classes | 3.00 | auditorium | |||||||
| 14 | Appropriate Economic Evaluation models for “real world” health care system problems | Lectures | 1.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| 15 | Economic Evaluation for decision making in health care in theory and in practice | Lectures | 1.00 | auditorium | |||||
| Classes | 3.00 | computer room | |||||||
| Assessment | |||||||||
| Unaided Work: | • Published research study literature acquisition related to the theory and application of modelling, critical evaluation and assessment of published economical models; • Collection and analysis of information for the development of economic models; • Development of the individual and group class work: development of economic models and presentation of the results. | ||||||||
| Assessment Criteria: | • Activity during interactive lectures • Quality and terms of individual and group tasks • Accuracy and precision of written exam answers Students will be evaluated 50% on written exam and 50% on class work and other tasks. | ||||||||
| Final Examination (Full-Time): | Exam | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | Upon successful completion of the module´s course the students will: • be familiar with the basic foundations of Economic Modelling, Modelling Techniques and Economic Evaluation in health care; • be able to recognize and use the different Modelling Techniques to solve theoretical and real-world problems in health care; • know the basic elements and process of Modelling in health care; • have applied Modelling as “hands on” using standard software, e.g. Microsoft Excel, or Open-Source-Software; • be aware of the specificities of the operating environment of health care systems; • be able to understand the process of efficient decision making in health care systems. | ||||||||
| Skills: | The students will be able to: • understand possible areas of the use of Economic Modelling in health care; • understand, how Economic Modelling and Economic Evaluation might help to solve problems in Health Care Management; • analyze situations and recognize problems regarding Health Management and justify if and how Modelling Techniques might be useful to overcome these obstacles; • use economic concepts, including modelling, Economic Evaluation in the analysis of Health Care Management; • provide decision making support in health care. | ||||||||
| Competencies: | Students will be able to: • recognize the potentials of different modelling techniques; • identify and solve problems in health care using economic modelling tools; • support decisions in health care settings; • increase efficiency in health care services. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Drummond M. (2015), Methods for the economic evaluation of health care programmes, Oxford university Press. Available from: ProQuest Ebook Central Academic Complete | ||||||||
| 2 | Ozcan, Y. A. (2017), Analytics and Decision Support in Health Care Operations Management, 3rd Edition, San Francisco. | ||||||||
| 3 | Frederick S. H., Lieberman G. J. (2021), Introduction to Operations Research. McGraw-Hill: Boston MA. | ||||||||
| 4 | Briggs A.et al. (2006), Decision Modelling for Health economic Evaluation, Oxford university Press. (practical guide - latest edition). | ||||||||
| 5 | Banks, J. (2014), Discrete-event system simulation. 5th ed. Prentice-Hall international series in industrial and systems engineering, Pearson Prentice Hall, Upper Saddle River, NJ. | ||||||||
| 6 | Law, A. M. (2015), Simulation modeling and analysis, 5th ed., Boston. | ||||||||
| Additional Reading | |||||||||
| 1 | Sun, X., Alured, Th. (2008), Decision-analytical modelling in health-care economic evaluations, The European journal of health economics, 9., 2008, 4. | ||||||||
| 2 | Edlin, R., McCabe, Ch., Hulme, C., Hall, P., Wright, J. (2015), Cost Effectiveness Modelling for Health Technology Assessment : A Practical Course / Richard Edlin [et al.]. | ||||||||
| 3 | Pitt M., Monks T., Crowe S., Vasilakis C. (2016), Systems modelling and simulation in health service design, delivery and decision making. BMJ Qual Saf, 25(1), 38-45. | ||||||||
| 4 | Brazier, J., Ratcliffe, J., Salomon, J.A., Tsuchiya, A. (2017), Measuring and valuing health benefits for economic evaluation, Oxford University Press. | ||||||||
| 5 | Menendez, Santiago., Fernandez Perez, Jose Luis., The Complex Systems Modelling Group (CSMG). (2010), Modelling in healthcare. Oxford University Press Southern Africa. | ||||||||
| Other Information Sources | |||||||||
| 1 | Winter Simulation Conference Archive. Available from: https://informs-sim.org/ | ||||||||
| 2 | Quantitative modelling in the management of health care, IMA International Conference on Quantitative Modelling in the Management of Health Care; 6 (London): 2010.03.29-31 | ||||||||
| 3 | IMA International Conference on Quantitative Modelling in the Management of Health Care. 2015. | ||||||||
