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Introduction to Health Services Research – Methods and Applications


Dozent/in Dr. Maria Trottmann
Veranstaltungsart Vorlesung
Code FS251074
Semester Frühjahrssemester 2025
Durchführender Fachbereich Wirtschaftswissenschaften
Studienstufe Bachelor Master
Termin/e Di, 18.02.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 25.02.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 04.03.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 11.03.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 18.03.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 25.03.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 01.04.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 08.04.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 15.04.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 29.04.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 06.05.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 13.05.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 20.05.2025, 18:15 - 20:00 Uhr, 3.B47
Di, 27.05.2025, 18:15 - 20:00 Uhr, 3.B47
Umfang 2 Semesterwochenstunden
Turnus Weekly
Inhalt

Health Services Research systematically evaluates the effectiveness of health interventions within real-world contexts. In contrast to clinical research, which concentrates on the development and assessment of medical treatments, health services research aims to identify optimal strategies for the organization, management, financing, and ongoing enhancement of care and assistance for patients and the broader population. This inherently interdisciplinary field integrates methodologies and perspectives from health economics, psychology, sociology, epidemiology, medicine, and management.

Throughout the course, we follow the advice of Prof. Dawn-Marie Walker who said “The best way to learn about research is to actually do it”. Students, either individually or in small groups of 2-3, will undertake their statistical analyses employing real-world data provided by a Swiss insurer. Important steps include getting a comprehensive understanding of the data and checking its plausibility in a real world context. Subsequent tasks include the formulation of a research question and the development of a statistical analysis plan. Descriptive and graphical analysis of the data pave the way for hypothesis testing and the subsequent interpretation of findings. 

Each of these steps will be explained and accompanied by illustrative code in the statistical software R. Prior experience with R or similar statistical software is advantageous, but not a mandatory prerequisite.

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
Begrenzung max. 16 participants
Anmeldung

To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 3 – 28 February 2025. The students themselves are responsible for checking the creditability of the course to their course of study.

Direct link to OLAT course: to follow

Prüfung The written paper will be separated into four separate homework assignments:
Deadline for 1. homework assignment: Sat 22.03.2025
Deadline for 2. homework assignment: Sat, 05.04.2025
Deadline for 3. homework assignment: Thurs, 17.04.2025
Deadline for 4. homework assignment: Sat, 03.05.2025
Dates for oral presentation: Tue, 13.05.2025 / 20.05.2025 / 27.05.2025
Students may work in groups of up to three people for the homework assignments. The four homework assignments account for 60% of the final mark (15% each). At the end of the semester, students will individually do a short oral presentation of the project, followed by a discussion with the teacher.

***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 Presentation and discussion (40%), written paper separated into six home work assignments (10% each) / 3 Credits
Hinweise A student project using real-world data is a significant part of this lecture.
The course will be available both in person and on zoom.
Hörer-/innen Ja
Kontakt maria.trottmann@swica.ch
Anzahl Anmeldungen 0 von maximal 16
Literatur

Weber, Jeremy G. 2024. “Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong).” Chicago?; London: The University of Chicago Press. ISBN: 9780226830759

Walker, Dawn-Marie (ed). 2014. “An Introduction to health services research”. Los Angeles: SAGE Publications. ISBN 978-1-4462-4739-6

Pflichtlektüre:

Kennedy, Peter E. “Sinning in the Basement: What Are the Rules? The Ten Commandments of Applied Econometrics“. Journal of Economic Surveys 16, Nr. 4 (September 2002): 569–89. https://doi.org/10.1111/1467-6419.00179.

Hill, A. B. 1965. “The Environment and the Disease: Association or Causation?” Proceedings of the Royal Society of Medicine 58 (5): 295–300.