| Dozent/in |
Magda Rocio Gamba Rincon, PhD |
| Veranstaltungsart |
Vorlesung |
| Code |
HS251342 |
| Semester |
Herbstsemester 2025 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Mi, 17.09.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 24.09.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 01.10.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 08.10.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 15.10.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 22.10.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 29.10.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 05.11.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 12.11.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 19.11.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 26.11.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 03.12.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 10.12.2025, 12:30 - 14:00 Uhr, HS 7
Mi, 17.12.2025, 12:30 - 14:00 Uhr, HS 7 |
| 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 syntheses
- Defining the selection criteria
- Developing & conducting search strategies
- Designing the data collection form
- Citation role in Evidence synthesis
- Protocol: writing & registering/publishing
- Peer screening process
- Other literature sources
- Peer data extraction
- Assessing quality & risk of bias of included studies
- Preparing results database for analyses
- Conducting descriptive synthesis
- Exploring the viability of meta-analysis & heterogeneity
- Critical appraisal of evidence syntheses
|
| E-Learning |
- Pre-class readings available in Moodle.
- Interactive Polling and Quizzes: Online polling tools (e.g., Mentimeter, Slido, Canvas) will be used to engage students during lectures, assess their understanding of concepts in real time, and stimulate discussion.
- Web-Based Tools for Literature Screening & Data Extraction: Students will use tools such as Covidence (free trial), Rayyan, and SRDR+ to practice acquired knowledge. |
| Lernziele |
This course prepares students to effectively synthesize research evidence in health sciences through the conduct of systematic reviews and meta-analyses. Students will gain practical experience in formulating research questions, designing search strategies, selecting studies, assessing quality, extracting data, and synthesizing evidence, providing participants with the skills and knowledge to immediately apply these methods in their research. |
| Voraussetzungen |
Successful completion of this course requires active participation in all class activities, completion of assigned readings and exercises, and the development and presentation of a comprehensive systematic review protocol.
- Group protocol development and presentation: Students will form groups (minimum four, maximum five) to develop and present a complete protocol for a systematic review. This protocol should adhere to established guidelines and models (e.g., PRISMA-P, PRESS, PROSPERO) and cover all key aspects of the systematic review process, including:
- Well-defined (clarity and focus) research question
- Selection criteria
- Search strategy and database queries
- Rigorous quality assessment strategy
- Detailed data extraction plan and quality assessment approach
- Appropriate synthesis methods (feasibility analysis for meta-analysis)
- Consideration of potential biases and limitations
- Individual Contributions: While the protocol is a group project, each student will be expected to make significant and demonstrable contributions. Clear roles and responsibilities within each group should be defined. Peer evaluation may be used to assess individual contributions.
- Adherence to deadlines: Students must complete weekly tasks (e.g., search strategy development, screening, data extraction, etc) on time to successfully complete the course.
- Active participation: Active participation in class discussions and group activities is expected and contributes to the overall learning experience. |
| Sprache |
Englisch |
| Anmeldung |
https://elearning.hsm-unilu.ch/course/view.php?id=923 |
| Leistungsnachweis |
Final written paper due in Week 13 of the semester/ Individual/group presentation
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 |
Teaching methods:
- Interactive Workshops: Hands-on sessions where students apply learned concepts in each lecture.
- Group Work: Collaborative working is essential in evidence synthesis. Students will work in small teams (4-5 members) to develop and refine a systematic review protocol, fostering teamwork and peer learning.
- Case-Based Learning: Real-world examples will be analyzed and discussed, with practical exercises designed to reinforce key concepts.
- Live Demonstrations: Students will receive hands-on training in using software tools commonly used in systematic reviews and meta-analyses.
- Protocol Development as an iterative process with personalized guidance: Students will develop their systematic review protocol iteratively throughout the course. Structured Q&A and group feedback sessions will provide ongoing support, allowing refinement and problem-solving at each stage. |
| Hörer-/innen |
Nein |
| Kontakt |
magda.gamba@zhbluzern.ch |
| Material |
- Computer with Internet Access via University WLAN: Students will need a laptop computer with a stable Internet connection to access databases, reference management tools, and systematic review software.
- Installed UniLu VPN: Students must have UniLu VPN installed to access resources such as licensed bibliographic databases (Medline via Ovid, Embase, Web of Science, among others), outside the university.
- Installed reference management software such as Zotero or Citavi for organizing libraries and search results.
- Accounts in Systematic Review and Screening Software: Students will utilize free platforms, such as Rayyan, for title/abstract screening and SRDR+ (or another data extraction tool) for organizing extracted data.
- Spreadsheets & Statistical Software: Students will require access to Excel, Google Sheets, and statistical tools like R (meta-analysis packages) or Stata (free one-month trial) for data synthesis and meta-analyses. |
| Literatur |
The lecturer will provide all essential readings and handouts through the course learning management system (Moodle). This may include:
- Lecture slides and notes
- Guidelines and templates for developing the systematic review protocol
- Relevant research articles and methodological papers
- Links to online resources and tutorials |