Evidence Synthesis - lecture
Mgr. Bc. Alena Langaufová, Ph.D.
Evidence Synthesis - lecture
Mgr. Bc. Alena Langaufová, Ph.D.
Evidence Synthesis - lecture
Info
Předmět
Období
jaro 2025
Course objectives
The objectives of the Evidence Synthesis seminar are the practical application of the principles of Evidence-Based Practice (EBP), Evidence-Based Research (EBR), and the principles of evidence synthesis and its interpretation. The EBP approach involves the conscientious, explicit, and thoughtful use of the best current scientific evidence in practice. The Evidence-Based approach plays a significant role in informed decision-making and critical thinking. EBR is a principle that prevents wasteful research by asking whether the intended study is necessary, i.e., whether the research question has been adequately answered by previous research. If new research is generated, EBR focuses on contextualising it with existing research. The course aims to provide the students with a methodological and practical foundation in EBP and EBR and prepare them for conducting secondary research and the skill of interpreting research results.

 Learning outcomes
    The student will be able to:
    Formulate a specifically focused research question.
    Design a search strategy.
    Search for scientific evidence in various databases and evaluate its relevance.
    Assess the internal and external validity.
    Interpret the results of systematic reviews, most often presented using meta-analyses.

Organisational guidelines

The lecture includes 15 lessons and 15 modules with practical tasks.

Assessment methods

80% active participation in lessons. Absence is excused only by the study department, according to the LF MU (https://www.med.muni.cz/studenti/omluvenky). In the case of an excused absence, the lecturer will appoint a substitute.

The ongoing performance of practical tasks

Final online test (75% for passing)


IS MUNI link
Evidence-Based Healthcare
Učitel doporučuje studovat od 17. 2. 2025 do 23. 2. 2025.
The 6S Pyramid (The hierarchy of evidence)
Učitel doporučuje studovat od 24. 2. 2025 do 2. 3. 2025.
Methodology of Evidence Synthesis
Učitel doporučuje studovat od 3. 3. 2025 do 9. 3. 2025.
Research question
Učitel doporučuje studovat od 10. 3. 2025 do 16. 3. 2025.
Inclusion and exclusion criteria
Učitel doporučuje studovat od 17. 3. 2025 do 23. 3. 2025.
Search of the evidence - developing the search strategy
Učitel doporučuje studovat od 24. 3. 2025 do 30. 3. 2025.
Sources of evidence
Učitel doporučuje studovat od 7. 4. 2025 do 13. 4. 2025.
Search of evidence - practice
Učitel doporučuje studovat od 31. 3. 2025 do 6. 4. 2025.
Screening of evidence
Učitel doporučuje studovat od 14. 4. 2025 do 20. 4. 2025.
Critical appraisal of evidence
Učitel doporučuje studovat od 21. 4. 2025 do 27. 4. 2025.
Data extraction methodology and approaches
Učitel doporučuje studovat od 28. 4. 2025 do 4. 5. 2025.
Interpreting quantitative data
Učitel doporučuje studovat od 5. 5. 2025 do 11. 5. 2025.
Working in RevMan: risk of bias
Učitel doporučuje studovat od 19. 5. 2025 do 25. 5. 2025.
Working in RevMan: meta-analysis
Učitel doporučuje studovat od 12. 5. 2025 do 18. 5. 2025.
Practice
Učitel doporučuje studovat od 26. 5. 2025 do 1. 6. 2025.
Předchozí
Následující
  • Evidence Synthesis - lecture
    • Nyní studovat
      Evidence-Based Healthcare
    • Nyní studovat
      The 6S Pyramid (The hierarchy of evidence)
    • Nyní studovat
      Methodology of Evidence Synthesis
    • Nyní studovat
      Research question
    • Nyní studovat
      Inclusion and exclusion criteria
    • Nyní studovat
      Search of the evidence - developing the search strategy
    • Nyní studovat
      Sources of evidence
    • Nyní studovat
      Search of evidence - practice
    • Nyní studovat
      Screening of evidence
    • Nyní studovat
      Critical appraisal of evidence
    • Nyní studovat
      Data extraction methodology and approaches
    • Nyní studovat
      Interpreting quantitative data
    • Nyní studovat
      Working in RevMan: risk of bias
    • Nyní studovat
      Working in RevMan: meta-analysis
    • Nyní studovat
      Practice
Operace
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