| Dozent/in |
Magda Rocio Gamba Rincon, PhD |
| Veranstaltungsart |
Vorlesung |
| Code |
HS261096 |
| Semester |
Herbstsemester 2026 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Di, 15.09.2026, 10:15 - 11:45 Uhr, HS 10
Di, 22.09.2026, 10:15 - 11:45 Uhr, HS 10
Di, 29.09.2026, 10:15 - 11:45 Uhr, HS 10
Di, 06.10.2026, 10:15 - 11:45 Uhr, HS 10
Di, 13.10.2026, 10:15 - 11:45 Uhr, HS 10
Di, 20.10.2026, 10:15 - 11:45 Uhr, HS 10
Di, 27.10.2026, 10:15 - 11:45 Uhr, HS 10
Di, 03.11.2026, 10:15 - 11:45 Uhr, HS 10
Di, 10.11.2026, 10:15 - 11:45 Uhr, HS 10
Di, 17.11.2026, 10:15 - 11:45 Uhr, HS 10
Di, 24.11.2026, 10:15 - 11:45 Uhr, HS 10
Di, 01.12.2026, 10:15 - 11:45 Uhr, HS 10
Di, 15.12.2026, 10:15 - 11:45 Uhr, HS 10 |
| Umfang |
2 Semesterwochenstunden |
| Inhalt |
• What is evidence synthesis and its importance in Health Sciences
• Literature review and types
• Defining the research question
• Resources required to conduct a literature review
• Reporting standards for Evidence Synthesis
• Defining the selection criteria
• Developing & conducting search strategies
• Designing the data collection form
• Review protocols: relevance and tips to write & register/publish
• Understanding peer screening process
• Exploring grey literature and other literature sources
• Understanding peer data extraction
• Assessing quality & risk of bias of included studies
• Organizing results for synthesis
• Overview of synthesis methods: descriptive synthesis and meta-analysis
• Critical appraisal of Evidence Synthesis
• Current applications of AI in evidence synthesis |
| E-Learning |
Pre-class readings will be made available in Moodle ahead of each session. During class, interactive polling tools such as Mentimeter or Slido will be used to check understanding in real time and stimulate discussion. Students will also use free access web-based platforms such as Rayyan and TERA tools to practice the methods covered in the course. |
| Lernziele |
This course introduces students to the principles and methods of evidence synthesis in health sciences, with a focus on systematic reviews and meta-analyses. Through structured workshops and guided practice, students will develop foundational skills in formulating research questions, searching and selecting literature, assessing study quality, and interpreting synthesized evidence. By the end of the course, students will be equipped to critically engage with evidence synthesis, and to apply core evidence synthesis concepts in their academic and research work. |
| Voraussetzungen |
Students enrolling in this course should have a foundational understanding of research methods, as well as familiarity with the principles of evidence-based practice in health sciences. Prior exposure to epidemiology or biostatistics at an introductory level is recommended, as the course builds directly on these concepts to address more complex tasks such as study quality assessment, data extraction, and quantitative evidence synthesis. No prior experience with evidence synthesis or meta-analyses is required. |
| Sprache |
Englisch |
| Anmeldung |
Moodle: https://elearning.hsm-unilu.ch/course/view.php?id=1020
|
| Leistungsnachweis |
Successful completion of this course requires active participation in class activities, completion of assigned readings and preparatory exercises, and an oral presentation on the process of learning how to conduct an evidence synthesis.
- Group presentation: Students will form groups to present their learning process in planning and conducting an evidence synthesis. The presentation should walk through the key steps of evidence synthesis while documenting the group's learning process along the way.
- Ungraded workshops: Throughout the semester, students will complete 4–5 structured workshops spaced every two weeks. These are not graded but serve as guided practice opportunities and allow the instructor to provide timely feedback on each group's progress.
- Active participation: Active engagement in class discussions and group activities is expected and contributes to the overall learning experience.
IMPORTANT: In order to earn credits and participate at the exam registration via Uni Portal within the exam registration period is MANDATORY. Further information: www.unilu.ch/en/study/courses-exams-regulations/health-sciences-and-medicine/exams/ |
| Abschlussform / Credits |
written paper/ Individual/group presentation / 3 Credits
|
| Hinweise |
Collaborative work is central to evidence synthesis. From the start of the course, students will work in teams of 5 to 6 to practice key steps, building teamwork and peer learning skills. |
| Hörer-/innen |
Nein |
| Kontakt |
magda.gamba@zhbluzern.ch |
| Material |
Students will need a laptop with a stable internet connection via University WLAN or UniLu VPN (for off-campus access to licensed databases such as Medline via Ovid, Embase, and Web of Science). Reference management software (Zotero), free screening and data extraction platforms (e.g., Rayyan), and spreadsheet or statistical tools (Excel, Google Sheets, R, or Stata) will also be required throughout the course. |
| Literatur |
All essential course materials will be made available through Moodle, including lecture slides, methodological guidelines and templates, relevant research articles, and links to online resources and tutorials. |