| Dozent/in |
Dr. Maria Trottmann |
| Veranstaltungsart |
Vorlesung |
| Code |
FS241247 |
| Semester |
Frühjahrssemester 2024 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Di, 20.02.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 27.02.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 05.03.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 12.03.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 19.03.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 26.03.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 09.04.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 16.04.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 23.04.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 30.04.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 07.05.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 14.05.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 21.05.2024, 18:15 - 20:00 Uhr, 4.B47
Di, 28.05.2024, 18:15 - 20:00 Uhr, 4.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 members, will undertake their statistical analyses employing real-world data provided by a Swiss insurer. The instructional journey starts with a comprehensive understanding of the data, its contextual relevance, and the identification of relevant literature to underpin the project. 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 |
| Anmeldung |
To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 5 February – 1 March 2024. 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/17498505662 |
| Prüfung |
The written paper will be separated into six separate home work assignments:
Deadline for 1. home work assignment: Mon, 25.03.2024
Deadline for 2. home work assignment: Sat, 06.04.2024
Deadline for 3. home work assignment: Mon, 15.04.2024
Deadline for 4. home work assignment: Mon, 29.04.2024
Deadline for 5. home work assignment: Mon, 06.05.2024
Deadline for 6. home work assignment: Mon, 13.05.2024
Oral presentation and discussion: Tue, 21.05.2024
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
|
| Hörer-/innen |
Ja |
| Kontakt |
maria.trottmann@swica.ch |
| Literatur |
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.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 |