| Dozent/in |
Dr. Maria Trottmann |
| Veranstaltungsart |
Vorlesung |
| Code |
FS231133 |
| Semester |
Frühjahrssemester 2023 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Di, 21.02.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 28.02.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 07.03.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 14.03.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 21.03.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 28.03.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 04.04.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 18.04.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 25.04.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 02.05.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 09.05.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 16.05.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 23.05.2023, 18:15 - 20:00 Uhr, 4.B01
Di, 30.05.2023, 18:15 - 20:00 Uhr, 4.B01 |
| 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.
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 aim and objectives of the study. The second step is to conduct a descriptive and graphical analysis of the data, and identify potential areas of concern. 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 and temporal 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 (e.g. 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 6 February to 3 March 2023. 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/17335386604
|
| Prüfung |
The written paper will be separated into three separate home work assignments:
Deadline for 1. home work assignment: Sat, 25.03.2023
Deadline for 2. home work assignment: Sat, 29.04.2023
Deadline for 3. home work assignment: Sat, 27.05.2023
***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 |
The written paper will be separated into three separate home work assignments / 3 Credits
|
| Hinweise |
Attendance is required for about half of the lectures. The other lectures will be used for practical work, and optionally for questions and discussions. The syllabus will be distributed during the first lecture. |
| 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. |