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F7ADIEBM - Evidence-based Medicine

Code Completion Credits Range Language
F7ADIEBM ZK 20P+8C English
Lecturer:
Gleb Donin, Ilya Ivlev (guarantor)
Tutor:
Gleb Donin, Ilya Ivlev (guarantor)
Supervisor:
Department of Biomedical Technology
Synopsis:

This course introduces fundamentals of evidence-based medicine and its methods. Students will learn (1) modern approaches to clinical evidence synthesis, (2) limitations, use, and assessment of the body of evidence and development of clinical guidelines, (3) software (Covidence and Abstrackr) to support systematic review, conduct meta-analysis (RevMan and R), evaluate quality of evidence (GRADE).

Requirements:

In the case of foreign lecturers, there will be a weeklong block of intensive contact education for the number of students at least five. If the number of students is less than five, the course will be self-study with consultations using VoIP (e.g. Skype) and a contact 1- or 2-day seminar. The contact seminar will take place at the FBMI or at the home institution of a foreign lecturer.

Syllabus of lectures:

Osnova přednášek:

1. Introduction to evidence-based medicine, theory of knowledge, and Key Questions

2. Source of evidence, diagnostic and prognostic studies, harm

3. Evidence search, methods, sources, approaches related to the key questions

4. Risk of bias in clinical studies

5. Critical appraisal of diagnostic and prognostic studies with various design

6. Critical appraisal of efficacy and harm studies; and systematic review and meta-analyses

7. Evidence synthesis and comparative effectiveness: methods and steps for systematic reviews, interpretation

8. Evidence synthesis and comparative effectiveness: meta-analyses, approaches and models, modern tools, interpretation

9. Clinical guidelines, strength of evidence, interpretation, use, implementation, and assessment

10. Use of software to support systematic reviews, conduct meta-analysis, and present clinical guidelines

Syllabus of tutorials:

Cvičení (bloková forma výuky po 4 vyučovacích hodinách):

1. Formulating Key Questions and matching study design, search for evidence, data abstraction, source for bias, practice risk for bias assessment, evidence synthesis

2. Explore differences among various statistical models for meta-analysis, practice conducting meta-analyses in RevMan and R. Assess the methodological quality of systematic reviews in overviews of reviews of healthcare interventions.

Study Objective:

This course introduces fundamentals of evidence-based medicine and its methods. Students will learn (1) modern approaches to clinical evidence synthesis, (2) limitations, use, and assessment of the body of evidence and development of clinical guidelines, (3) software (Covidence and Abstrackr) to support systematic review, conduct meta-analysis (RevMan and R), evaluate quality of evidence (GRADE).

Study materials:

Povinná:

[1] Guyatt G, Rennie D, O. Meade M, Cook D. Users’ Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice. 3rd ed. McGraw-Hill Education; 2015. 736 p. (or newer)

[2] Nelson HD. Systematic Reviews to Answer Health Care Questions. 1st ed. LWW; 2014. 240 p. (or newer)

Doporučená:

[1] Asche, C. Applying Comparative Effectiveness Data to Medical Decision Making A Practical Guide. Cham: Springer International Publishing: Imprint: Adis. 2016.

Note:
The course is a part of the following study plans:
Downloads: