eSCREM: research protocol development
Date limite : 1 juillet 2025 pour le cours de 2025-2026
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Short Courses
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Distance learning
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Moodle
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3 crédits ECTS
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English
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Informations générales
The skills to critically appraise research, analyze data, and design robust studies are essential for healthcare researchers and professionals willing to support evidence-based medicine. The electronic Short-course on Clinical Research and Evidence-based Medicine (eSCREM) equips students with the necessary skills to conduct and evaluate clinical research effectively while guiding them through the stepwise development of a structured research protocol.
The course covers six modules, starting with fundamental clinical epidemiological concepts such as introduction to disease frequency and clinical epidemiology, followed by literature searching and critical appraisal of the literature. Students will also be familiar with how to describe and interpret data, measure associations, and apply biostatistical methods. A core component of this course is the development of a research protocol, where participants refine their study design, consider ethical and feasibility aspects, and integrate statistical reasoning into their proposals.
This course is designed for healthcare professionals, researchers, and students seeking to improve their competencies in clinical research, epidemiology, and evidence-based decision-making. It is particularly suited for those looking to develop a research proposal.
The course is ONLINE and combines self-paced study on written documents and real-time Zoom sessions. Learning is interactive and applied, featuring hands-on assignments, structured mentorship, and feedback loops. Students will engage in practical exercises, collaborative discussions, and case-based learning, ensuring they can apply their knowledge to real-world clinical research scenarios.
Objectifs d'apprentissage
After completion of the course, participants should be able to:
- Define and calculate key clinical epidemiological measures, such as disease frequency (incidence, prevalence, mortality).
- Calculate and interpret measures of diagnostic test performance (interpret sensitivity, specificity, predictive values, and likelihood ratios).
- Critically appraise scientific literature and choose appropriate study designs (conduct systematic literature searches; choose appropriate epidemiological studies, such as cross-sectional, case-control, cohort studies or experimental designs).
- Summarize and interpret clinical epidemiological data (use descriptive statistics and graphical methods to present data; Identify trends, biases, and limitations in data interpretation).
- Calculate and interpret measures of association (differentiate between risk ratios, odds ratios; distinguish confounding from causal relationships).
- Design a research study and develop a research protocol (formulate a structured research question; select an appropriate study design and methodology).