Biostatistics and Epidemiology Introduction to EBM & Clinical research
Evidence-based medicine (EBM) has emerged has a critical clinical competency in the 21st century. Medical schools usually introduce students to critical appraisal in the preclinical years, but there have been few evaluated interventions in teaching EBM in the clinical years. We describe a strategy to encourage students to practice EBM during a required ambulatory medicine clerkship. During this clerkship, our students are required to submit an EBM report, which is prompted by an individual case, and structured with a 5-step approach. One small-group session is devoted to modeling this approach with a case of chest pain. Using a checklist to grade 216 consecutive EBM reports, we found that students were quite successful with the exercise, achieving on average 89.6% of possible checklist points. Students who followed the structure of the exercise closely were more likely to extend their discussions beyond that required and to suggest potential further areas of investigation or design.
Epidemiology is the study of factors affecting the health and illness of populations, and serves as the foundation and logic of interventions made in the interest of public health and preventive medicine. It is considered a cornerstone methodology of public health research, and is highly regarded in evidence-based medicine for identifying risk factors for disease and determining optimal treatment approaches to clinical practice. In the study of communicable and non-communicable diseases, the work of epidemiologists ranges from outbreak investigation to study design, data collection and analysis including the development of statistical models to test hypotheses and the documentation of results for submission to peer-reviewed journals. Epidemiologists also study the interaction of diseases in a population, a condition known as a syndemic. Epidemiologists rely on a number of other scientific disciplines such as biology (to better understand disease processes), biostatistics (the current raw information available), Geographic Information Science (to store data and map disease patterns) and social science disciplines (to better understand proximate and distal risk factors).
