Advance-CTR Training: Systematic Review Half-Day Course
Presented by the Clinical Research Design, Epidemiology, and Biostatistics Core of Advance-CTR
What is evidence-based medicine, and how do we sort and evaluate available evidence to support decision-makers?
In this half-day course, experts from Brown's School of Public Health will discuss:
- The role and value of systematic reviews, the basic steps involved in conducting a systematic review, and how they can be applied to public health and health policy;
- The major principles and techniques of statistical analysis of meta-analytic data with a focus on summary data from reports and individual data from studies; and
- Meta-analysis in the context of evidence-based science, with discussion around the basic principles of network meta-analysis and the validity of its assumptions, including the key role that potential effect modifiers play.
Brown University research librarians will also discuss the resources and support available to clinical and academic faculty who would like to conduct a systematic review.
Clinical and translational researchers, physician scientists, junior investigators, and any research staff at Brown University, the University of Rhode Island, and the affiliated hospital systems who are interested in conducting systematic reviews.
- Read and interpret systematic reviews
- Identify the major principles and techniques of statistical analysis with meta-analytical data
- Explain the based steps involved in a system review
- Describe the meta-analysis in the content of evidence-based science
- Apply systematic reviews to public health and health policy
- Make connections as to how systematic reviews can enable better choice of treatments and more accurate diagnosis
|7:30–8:00 am||Registration and Continental Breakfast|
|8:00–8:05||Introductions and agenda review||Christopher Schmid|
|8:05–8:30||Impetus, tools, and limitations of evidence synthesis||Ian Saldanha|
|8:30–9:00||Formulating the research question||Ian Saldanha|
|9:00–9:30||Searching for and screening studies for inclusion|
(with summary of Brown Library resources by Erin Anthony)
|9:30–10:00||Extracting data from included studies||Kristin Danko|
|10:15–10:50||Assessing the risk of bias in included studies||Ian Saldanha|
|10:50–11:35||Combining study results – meta-analysis & network meta-analysis||Christopher Schmid|
Kristin Danko, PhD, Postdoctoral Research Associate in Health Services, Policy and Practice at the Brown University School of Public Health
Ian Saldanha, MD, MPH, Assistant Professor of Health Services, Policy and Practice, Assistant Professor of Epidemiology at the Brown University School of Public Health
Christopher Schmid, PhD, Professor of Biostatistics, Chair of Biostatistics at the Brown University School of Public Health
The Warren Alpert Medical School of Brown University is accredited by the ACCME to provide continuing medical education for physicians.
Physicians: The Warren Alpert Medical School of Brown University designates this live activity for a maximum of 3.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Other Healthcare Professionals: Participants will receive a Certificate of Attendance stating this program is designated for 3.5 hours AMA PRA Category 1 Credits™. This credit is accepted by the AAPA and AANP.
- 3.50 AMA PRA Category 1 Credit™The Warren Alpert Medical School of Brown University is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
- 3.50 AttendanceParticipants will receive a Certificate of Attendance stating this program is designated for AMA PRA Category 1 Credit™. This credit is accepted by the AAPA and AANP.