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Einführung in die Versorgungsforschung – Methoden und Anwendungsbeispiele


Dozent/in Dr. Maria Trottmann
Veranstaltungsart Vorlesung
Code FS221007
Semester Frühjahrssemester 2022
Durchführender Fachbereich Wirtschaftswissenschaften
Studienstufe Bachelor Master
Termin/e Di, 22.02.2022, 18:15 - 20:00 Uhr, Online
Di, 22.02.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 01.03.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 08.03.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 15.03.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 22.03.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 29.03.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 05.04.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 12.04.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 26.04.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 03.05.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 10.05.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 17.05.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 24.05.2022, 18:15 - 20:00 Uhr, 4.B47
Di, 31.05.2022, 18:15 - 20:00 Uhr, 4.B47
Umfang 2 Semesterwochenstunden
Turnus Weekly
Inhalt Health Services Research analyses the effectiveness of health interventions in the real world. In contrast to medical research, which focuses on the development and evaluation of clinical treatments, health services research tries to find the most effective ways to organize, manage, finance, and continuously improve care and support for patients and citizens. Inherently multidisciplinary, it incorporates methods and insights from health economics, psychology, sociology, epidemiology, medicine, and management.
The course will begin with a short theoretical introduction to health services research. For the main part of the course, we will follow the advice of Prof. Dawn-Marie Walker who said “The best way to learn about research is to actually do it”. Students (individually or in groups of 2-3 people) will conduct their own statistical analysis using real world data provided by a large Swiss insurer. The first step is to formulate a research question and identify the main methodology. The second step is to conduct a descriptive and graphical analysis of the data, and identify potential areas of concern (such as high outliers or subsamples with low case numbers). The third step is the statistical analysis and summary of the results. Each of these steps will be discussed in class, and code examples in the statistical software R will be provided. Previous experience with R or another statistical software is a plus, but not a prerequisite. Suggested topics for research projects:
Regional variation in the use of health care services in Switzerland (e.g. orthopedic surgery, screening tests, antidepressants)
The effects of the Covid-19 pandemic on the use of health care services (elective/non-elective hospital admissions, mental care, preventive services)
Lernziele Goals and principal methods in health services research.
Practical experience conducting a statistical research project using real world data.
Voraussetzungen • Introductory course in statistical methods
• Experience working with a statistical software such as R or Stata would be a plus
Sprache Englisch
Anmeldung To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 7 February to 4 March 2022. The students themselves are responsible for checking the creditability of the course to their course of study. Direct link to OLAT course: https://lms.uzh.ch/url/repositoryentry/17174429713
Leistungsnachweis There will be three written papers:
First assignment, due on April 3: Research question and main methodology (25% of final grade)
Second assignment, due on April 24: Description of data set and explorative data analysis (25%)
Third assignment, due on Mai 15: Final analysis and summary of results (50%)

***IMPORTANT*** In order to acquire credits, resp. to take the examination, registration via the Uni Portal within the examination registration period is ESSENTIALLY REQUIRED. Further information on registration: www.unilu.ch/wf/pruefungen
Abschlussform / Credits Written paper (separated into three assignments) / 3 Credits
Hörer-/innen Ja
Kontakt maria.trottmann@swica.ch
Literatur Sanford Schwartz, J. 2017. „Health Services Research“. In Clinical and Translational Science, Ch. 7, 111–33. Elsevier.
https://doi.org/10.1016/b978-0-12-802101-9.00007-7. Walker, Dawn-Marie (ed). 2014. “An Introduction to health services research”. Los Angeles: SAGE Publications. ISBN 978-1-4462-4739-6 Motheral, Brenda.et al. 2003. „A Checklist for Retrospective Database Studies—Report of the ISPOR Task Force on Retrospective Databases“. Value in Health 6 (2): 90–97.
https://doi.org/10.1046/j.1524-4733.2003.00242.x. Widmer, Marcel et al. 2009. „Regional Variation in Orthopedic Surgery in Switzerland“. Health & Place 15 (3): 791–98. https://doi.org/10.1016/j.healthplace.2008.12.009. Wei, Wenjia, et al. 2018. „Variation of Preoperative Chest Radiography Utilization in Switzerland and Its Influencing Factors: A Multilevel Study with Claims Data“. Scientific Reports 8 (1): 17475. https://doi.org/10.1038/s41598-018-35856-9. Essig, Stefan et al. 2020. „Potentially Inappropriate Testing for Vitamin D Deficiency: A Cross-Sectional Study in Switzerland“. BMC Health Services Research 20 (1): 1097. https://doi.org/10.1186/s12913-020-05956-2.